Clean Energy Super PAC

This week we talk about lobbying, renewables, and the NRA.We also discuss implied threats, midterm elections, and political action committees.Recommended Book: Sunward by William AlexanderTranscriptFor much of the late 20th century and the first few decades of the 21st, one of the most feared interest groups in US politics was the National Rifle Association, the NRA.Its power came from a large and politically engaged membership, a mailing list, a grading system that reduced complicated voting records to a letter, and a reputation for ending political careers over specific votes.Once it attained that reputation, the NRA didn’t have to defeat every politician it disagreed with. Members of Congress only had to believe it could defeat them, and that belief shaped races in which the group spent nothing; politicians went out of their way not to anger the NRA. Money can buy an advertisement or a meeting. What tends to change a vote is the expectation that one choice will be rewarded and another will carry consequences.The NRA’s influence has declined following internal scandals, financial trouble, and the growth of well-funded gun-control groups. But its model remains potent: pick a few visible fights, and allow your reputation to do a lot of the work for you, in the future.In 2010, the Supreme Court’s Citizens United decision, alongside a related appeals-court ruling later that year, helped create the modern super PAC: a political committee that can raise and spend unlimited sums advocating for or against candidates, so long as it does not coordinate that spending with their campaigns.This did not eliminate the effort and resources required to build influence, but it meant a few wealthy donors, a competent team, and some carefully selected races could establish a reputation in months rather than decades.In 2026, solar, wind, and batteries are projected to account for about 93% of new utility-scale electrical generating capacity added in the United States.That doesn’t mean they provide 93% of the country’s electricity—natural gas remains the largest source in the US—but these technologies are now the overwhelming majority of what the industry is building.Despite that growth, in 2025 Congress passed a law that sharply rolled back federal support for much of the clean-energy industry, and most of the politicians who voted for those rollbacks appeared to suffer no political consequences for doing so.What I’d like to talk about today is the effort to build a feared clean-energy lobby, how it has influenced a series of Republican primaries, and what its early successes do and do not tell us about the role of money in American politics.—The One Big Beautiful Bill Act, or OBBBA, was signed into law on July 4, 2025.For wind and solar projects, the new law generally ended production and investment tax credits for facilities placed in service after December 31, 2027, unless construction began within twelve months of the bill’s enactment.That twelve-month window closed in July of 2026, and a subsequent executive order directed the Treasury Department to adopt a stricter definition of when construction actually begins, further clamping down on entities hoping to benefit from those now-defunct credits.Tax credits for electric vehicles and residential efficiency upgrades ended in 2025, while support for clean hydrogen was curtailed. Other technologies, including batteries, nuclear power, and geothermal energy, were treated differently, so it would be misleading to say the law eliminated every federal clean-energy incentive, though it did severely curtail a lot of renewables-oriented industries and construction in the US.Republicans have generally been more supportive of fossil-fuel production and more hostile to federal wind and solar subsidies, while Democrats have generally taken the opposite position. There are important regional exceptions, especially among Republicans whose districts have attracted manufacturing plants, wind farms, and other energy investments. Several Republican lawmakers have even written letters asking party leaders to preserve some of the credits, in part because projects and jobs in their districts depended on them. When the final vote arrived, though, nearly all congressional Republicans voted for the bill.Tom Matzzie, the founder of the retail electricity company CleanChoice Energy, previously worked for Democratic campaigns and served as the Washington director of the progressive organization MoveOn.org, so he was familiar with electoral campaigning as well as the energy industry. In the wake of the passing of the OBBBA, he posed a question to Canary Media, possibly alluding to the success of political interest groups like the NRA when he said, “Are we someone that people can hurt without consequences?”Matzzie recruited Chris Larsen, the billionaire co-founder of the blockchain company Ripple and an investor in clean energy, and Michael Brune, the former executive director of the Sierra Club, and together they formed the Invest in Tomorrow Coalition, or ITC, an acronym that also evokes the investment tax credit the group was organized, in part, to defend.Federal Election Commission records show that the coalition raised about $6.8 million during the first half of 2026. Larsen provided $6 million, while the organizers said they had assembled commitments of around $20 million and hoped to spend as much as $30 million during the election cycle. Matzzie called the group’s candidate-targeting spreadsheet the “Revenge Tour Matrix,” which is an unusually candid name for a political document.The group’s most interesting strategic decision, though, is arguably that its advertisements generally did not mention clean energy.When ITC opposed Texas Representative Chip Roy in the Republican runoff for state attorney general, its ads questioned Roy’s loyalty to President Trump. When it opposed Tennessee Representative Andy Ogles, it created a website called Lyin’ Andy that focused on his missed votes and a federal investigation into his campaign-finance reporting.The coalition openly identified its reason for entering these races, but its advertisements used whatever campaign research suggested would move primary voters, not what its donors wanted them to think about solar panels.This approach was especially well suited to Republican primaries, where relatively small electorates can be reached through a concentrated group of conservative television, social-media, and streaming outlets.In Ogles’ race, for instance, the two campaigns had each spent roughly $600,000, while ITC spent around $2 million attacking Ogles and introducing voters to his challenger, Charlie Hatcher.The coalition describes its record so far as five wins in five races.In May, Roy lost the Texas attorney-general runoff by 10.4 percentage points.In June, Iowa Representative Mariannette Miller-Meeks, a Republican who had defended renewable-energy interests in Congress, survived her primary with help from ITC, including a $125,000 contribution.Later that month, South Carolina Representative Ralph Norman finished a distant third in the Republican primary for governor after the coalition opposed him.In August, Ogles lost his primary by more than six points despite an endorsement from Trump and more than $700,000 from the House Freedom Caucus’ political fund.And in late August, Norman lost a second race, this time a Republican Senate primary, to Darline Graham, the sister of the late Senator Lindsey Graham. ITC spent about $1 million in that contest, which Norman lost by five points.The reactions from Norman and Ogles were almost as useful to the group as the election results.Norman blamed outside political spending in his concession speech, while Ogles, before his loss, said the coalition was attempting to make an example of him and that could have a chilling effect on other conservatives in Congress.Those statements do not prove ITC caused either defeat. But they do advertise the consequence the organization wants other politicians to anticipate; come after clean energy investment and they’ll come after you.This strategy is notable because it separates political deterrence from public persuasion.It does not need Republican primary voters to become enthusiastic about solar tax credits. It just needs politicians to believe that aggressively attacking solar companies could make their next primary more difficult.The ads questioning Roy’s loyalty to Trump are probably the clearest version of this distinction. The message voters received and the policy outcome the donors wanted were almost entirely unrelated, and that was intentional.It’s worth mentioning here that the power of a wealthy individual to shape a low-turnout primary does not become less concerning because the spending supports a technology someone likes. The same rules are available to fossil-fuel companies, cryptocurrency investors, labor unions, and ideological groups of all kinds.That said, Ogles entered his primary with several liabilities unrelated to energy policy, including controversial public comments, questions about his finances, and a district whose boundaries had changed. Darline Graham had Trump’s support in her race against Norman.In Texas, the coalition’s roughly $1.7 million in spending was substantial, but the winning campaign spent nearly $25 million and Roy’s campaign spent around $12 million. Roy dismissed the coalition’s influence and said he would take the same positions again.Matzzie’s response to all this is, more or less, that proof of causation is unnecessary: if lawmakers believe the coalition can hurt them, the deterrent works.That may be true, but it makes the group’s claim difficult to test. The measurable outcome is that five races ended the way the group preferred, but it’s currently unknown, and maybe unknowable, how much responsibility the group can claim for those victories.An analysis highlighted by Yale Climate Connections estimated that fossil-fuel interests spent about $219 million supporting candidates in the 2024 election cycle, with roughly 88% of that spending benefiting Republicans. The oil and gas industry also spent more than $150 million lobbying the federal government that year.What the coalition may have demonstrated is that a relatively modest sum, precisely applied in low-turnout elections with inexpensive media markets, can attract attention far beyond the size of the investment. That is as much a finding about the vulnerability of primary elections as it is about the political strength of clean energy.Now all that said, the renewable energy industry itself is divided over whether this is a useful approach.Tim Pawlenty, the former Republican governor of Minnesota who now leads the Solar Energy Industries Association, has said his organization’s job is to make more friends rather than more enemies—an arguably rational position for a trade group that needs access to both parties.Steve McBee, meanwhile, launched an organization called Amped to encourage clean-energy professionals to engage more visibly in politics, arguing that a major infrastructure industry, and one that’s growing in scale by the year, still behaves as if it were a marginal alternative, and that needs to change.These approaches can of course coexist, but there is a tension between building a coalition and threatening to make an example of anyone who doesn’t fall into line, and each tactic can make the other more difficult.The coalition’s first announced Democratic target was Rhode Island Governor Dan McKee, who blamed some of the state’s electricity-price problems on clean-energy policies and proposed delaying its renewable-energy target while reducing funding for efficiency programs.ITC committed about $500,000 to oppose him in the September 9 primary. Targeting a Democrat helps establish that it is enforcing an industry position rather than functioning as another Democratic-aligned group. And that investment may have paid off: former CVS executive Helena Foulkes beat McKee on September 9’s runoff, with around 62% to McKee’s 38%—not even close.This wasn’t a clean experiment, though. McKee was already trailing Foulkes by a wide margin, and his standing had been damaged by controversies unrelated to energy, including the prolonged closure of a major bridge.The next test will be whether the approach works outside primaries. General elections have larger, less ideologically uniform electorates, more expensive advertising, and more competing messages. Matzzie has not offered much detail about the coalition’s plans, and a tactic that works in a small primary may not scale in November.The midterm elections on November 3 will clarify what this produces at the federal level, but deterrence and legislation are different things. Roy and Norman were running for offices outside the House, while Hatcher was not a wind-and-solar champion. Replacing an outspoken opponent may help the industry, but it does not produce the votes required to restore a tax credit.The protected begin-construction window for many wind and solar projects closed in July, and the placed-in-service deadline arrives at the end of 2027. Congress could change those dates, but doing so would require legislation that can pass both chambers and receive a presidential signature; a different electoral environment could make that more plausible, but would not make it automatic.There’s also a risk that a campaign built around retaliation will make clean energy more firmly associated with one political party, even as the industry expands through many Republican districts and states.Targeting McKee complicates that interpretation, and supporting Miller-Meeks shows a willingness to reward a Republican ally. Still, most targets have been Republicans because most recent federal opposition to wind and solar support has come from Republicans.That is a current political fact, but it’s not necessarily a permanent alignment. And clean energy companies would no doubt love to get both parties on side, rather than contributing to a further divide, in which one party forever opposes the sorts of projects they’re trying to support.Thinking back to previous examples of how these sorts of things have played out, the NRA’s influence was never just a function of how much it spent. It came from a reputation, constructed one race at a time, that even influenced politicians who never personally faced its advertisements and spending.The Invest in Tomorrow Coalition is attempting to compress that process into a single election cycle, using a campaign-finance tool that did not exist in its current form when the NRA first built its power.Five primaries in, the outlines of that reputation are visible, but its ability to changes votes in Congress, survive a loss, and work with a broader electorate will tell us whether this is the beginning of a durable clean-energy lobby, or just an unusually effective run of well-selected races.Show Noteshttps://www.canarymedia.com/articles/politics/super-pac-crushing-clean-energy-foeshttps://www.canarymedia.com/articles/politics/clean-energy-super-pac-looks-to-take-down-a-democratic-governorhttps://insideclimatenews.org/news/29082026/super-pac-targets-conservatives-against-clean-energy/https://www.eenews.net/articles/emboldened-clean-energy-donors-eye-big-campaign-spending/https://newrepublic.com/post/214762/green-energy-group-pick-off-republican-candidateshttps://www.foxnews.com/politics/top-trump-ally-warns-super-pac-bankrolled-dem-billionaire-meddling-gop-primaryhttps://www.steptoe.com/en/news-publications/the-one-big-beautiful-bill-impact-on-the-iras-clean-energy-tax-credits.htmlhttps://bipartisanpolicy.org/explainer/2025-reconciliation-debate-one-big-beautiful-bill-act-energy-provisions/https://seia.org/research-resources/clean-energy-provisions-big-beautiful-bill/https://www.canarymedia.com/articles/clean-energy/chart-us-overwhelmingly-build-clean-powerhttps://www.fec.gov/data/committee/C00936997/https://www.fec.gov/legal-resources/court-cases/speechnoworg-v-fec/https://www.fec.gov/help-candidates-and-committees/candidate-taking-receipts/understanding-independent-expenditures/https://www.brennancenter.org/our-work/research-reports/citizens-united-explainedhttps://yaleclimateconnections.org/2025/01/the-fossil-fuel-industry-spent-219-million-to-elect-the-new-u-s-government/https://www.opensecrets.org/federal-lobbying/industries/summary?cycle=2024&id=e01https://www.amped.org/https://www.nytimes.com/interactive/2026/09/09/us/elections/results-rhode-island-governor-primary.html This is a public episode. 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This week we talk about AI agents, cyberattacks, and insurance claims.We also discuss OpenAI, Hugging Face, and policy language.Recommended Book: The Stars My Destination by Alfred BesterTranscriptTwo broad categories of cyberattack have become especially visible this year, and only one of them requires a human attacker in the loop to choose the target.In March, hackers linked by the US government to Iranian intelligence broke into the medical-device manufacturer Stryker and remotely wiped tens of thousands of employee devices. The attack disrupted the company for days, affected its first-quarter earnings, and represented a shift from somewhat more subtle espionage toward more overt and deliberate destruction.Elsewhere, the market-research company Klue sat at the center of a breach affecting close to 200 customers. Attackers used an old credential to gain access to keys for customers’ cloud services.These incidents had people with recognizable motives behind them, and that sort of hack has become increasingly rare over the past decade or so: Black Kite counted 7,551 publicly disclosed ransomware victims over its latest twelve-month reporting period, alone, about 25 percent more than the year before.Then, over the course of about five weeks this summer, OpenAI, Anthropic, and Meta each disclosed incidents in which their AI models gained access to real computer systems they were not supposed to touch.The incidents were not identical, and describing all of them as escapes wouldn’t capture the important nuance of the situation.Anthropic and Meta said their models reached the internet because a third-party evaluation environment had been misconfigured. The models had been told they were operating inside a simulation, and their internal dialogues indicate they interpreted the real systems they encountered when they left that environment as simulated components of that exercise.OpenAI’s incident, however, was a bit different.Its models were being tested using ExploitGym, a benchmark intended to measure their ability to find and exploit software vulnerabilities. Internet access was supposed to be blocked, but the models discovered and exploited vulnerabilities in a package-registry service inside OpenAI’s research infrastructure, found a route to the open internet, and, as I related in a previous episode, eventually compromised the production systems of the AI platform Hugging Face.Since that episode, OpenAI has release a more complete postmortem, which they published in August, and which says the activity was primarily driven by an internal research model comparable in scale to GPT-5.6 Sol, though Sol participated in parts of the incident.The agents created an improvised message board inside the package manager, exchanged discoveries, divided up work, and sometimes described themselves as a swarm.At Hugging Face they executed code on dozens of servers, obtained broad access to several clusters, and exposed credentials associated with databases, cloud services, code repositories, and internal communications.Hugging Face reconstructed around 17,600 actions over a campaign lasting about four and a half days, including roughly two and a half days inside its own infrastructure.Notably, these AI agents were not trying to steal money or damage Hugging Face. They inferred that the company might possess the solutions to the benchmark, to the problem they were tasked with solving, and they went looking for them. They were, in effect, cheating on a test, looking for solutions to the problems rather than taking the test, as intended.That doesn’t mean the models had motives in the human sense. People created the evaluation, reduced the normal safeguards, and assigned an offensive task. But no operator selected Hugging Face or directed the individual steps; that was a path the AI decided to take all by itself.Anthropic’s review subsequently found three incidents among more than 141,000 evaluation runs for its own models. In one, a model unable to reach its fictional target scanned around 9,000 real ones, compromised an internet-facing application using an exposed password and SQL injection, then stopped after recognizing that the host was real.Another model published a malicious package to the real Python Package Index because it believed the registry was simulated. Fifteen outside systems downloaded and ran that malicious package before it was removed.Meta then disclosed that one of its models had reached the internet through a misconfiguration at the same evaluation vendor and exploited a vulnerability at an unnamed third party.No significant financial damages have been publicly reported from these events, by attacker or victim. But if there had been damages, who would have paid for them?What I’d like to talk about today is how autonomous AI systems complicate cyber insurance, how insurers have handled equally unfamiliar risks in the past, and why insurance contracts may soon become one of the more important forms of AI governance.—A typical cyber-insurance policy covers a broad portfolio of costs.These can include ransom payments, forensic investigations, legal expenses, restoring systems and data, notifying customers, and compensating victims and possibly a victims’ customers for the revenue lost while a company’s operations are interrupted.Business interruption is often one of the largest portions of a claim, and policies can respond to malicious attacks as well as non-malicious failures.This market grew by more than 30% a year between 2017 and 2022, as ransomware, a type of attack that became a lot more common during that period, in part because of increased automation and a franchising model that became really popular and increased the reach of the most powerful ransomware tools, almost broke this industry.In 2021, attacks on Colonial Pipeline, the insurer CNA, and meat processor JBS produced multimillion-dollar ransom payments and costly disruptions. Insurance prices surged, sometimes by more than 100%, while some companies found they could not obtain coverage because insurers just couldn’t make the numbers work for them.Insurers responded to this more complex hacking environment by raising prices, but they also made coverage conditional on specific defenses. Companies increasingly had to demonstrate that they used multifactor authentication, endpoint monitoring, restricted administrator access, and backups that attackers could not alter, as a baseline.Loss ratios then fell, more insurance capital entered the market, and prices eventually came down again, stabilizing after that frantic and uncertain period.According to Marsh, global cyber-insurance rates fell 4% in the second quarter of 2026, the twelfth consecutive quarterly decline. Primary pricing is now about 42% below its 2022 peak.The market is not necessarily becoming safer, though. US cyber premiums reached about $7.5 billion in 2025, while the share of premiums consumed by claims rose to 53%—the first time it ticked above 50% since the pandemic-era ransomware surge.Globally, Munich Re estimates the market was worth nearly $15 billion last year and could approach $28 billion by 2030.During this period, insurance applications have also become a consequential part of a company’s security system.In one particularly clear example, Travelers rescinded a million-dollar policy after a ransomware claim revealed that the customer’s multifactor authentication protected only its firewall, despite application answers saying the control was used much more broadly.Companies that don’t live up to cyber insurance expectations can thus be left in the lurch, so in a very real way, insurers have helped make multifactor authentication a standard business practice by attaching a price to its absence. This industry could move faster than regulators because they didn’t have to ban insecure behavior and pass legislation to make that happen; they just had to decline to insure anyone who didn’t live up to their basic security standards, which left those who failed to implement such precautions without insurance, should they be targeted by hackers.That same mechanism is now being aimed at AI agents, but the big initial problem everyone is facing is definitional.Most cyber policies are written around some identifiable security event: an outside attacker breaks in, an employee steals information, a credential is used without authorization, or malicious software takes a server offline.What if, though, a company gives an AI agent access to its network so that the agent can find and repair security vulnerabilities?And then maybe the agent discovers a vulnerability, exploits it, moves laterally into systems it was not expected to touch, and exposes sensitive data. There is a cyber loss, but there may be no conventional attacker and no stolen credential. The software was invited in and may have used permissions it was explicitly given. This is very different from a human-led hack, but it still has the potential to cause a lot of monetary damage.Insurers including MSIG, QBE, and Beazley are reviewing how their policy language applies to these scenarios and who bears responsibility when an agent’s autonomous actions cause damage.For now, most of them are clarifying the parameters of their coverage rather than excluding AI events entirely.QBE’s global head of cyber described AI as “a risk amplifier, not a fundamentally new cyber risk.” In other words, if an AI system causes something that looks like an ordinary covered breach, the involvement of AI probably won’t put it in a different category; it’ll still be covered.The trickier cases involve an agent that works as designed but makes an expensive decision, or a systemic event in which a model or AI platform produces losses at many companies simultaneously.The first type might be treated as professional liability, or errors and omissions, rather than a cyber incident. The second could, in theory at least, end up being too large for insurers to cover without strict limits in place.Specialized products are already emerging. Armilla AI, Munich Re, and AXA XL sell coverage for risks including model underperformance, hallucinations, and intellectual-property claims. Whether these products remain separate or are eventually folded into broad cyber policies will depend in part on what sorts of claims insurers actually receive, and the scale of those claims.Right now, they have very little historical data with which to calculate the price. Insurance is fundamentally a system for using past experience to account for future issues, and autonomous AI losses have almost no past; they’re a very new type of problem.That said, the insurance industry has encountered ambiguity before.For years, insurers worried about silent cyber: losses caused by digital events that appeared inside property, liability, and other policies that had never explicitly contemplated them. Lloyd’s gradually required policies to state whether cyber risks were covered or excluded.There was also the question of attribution. In 2017, the NotPetya malware spread from Ukraine through corporate networks around the world. The US and several allies attributed it to the Russian military, but many victims were ordinary companies with no meaningful role in geopolitics.Drugmaker Merck claimed about $1.4 billion in damages under its property policies. Insurers disputed roughly half of that amount using exclusions for hostile or warlike acts; language whose ancestry predates computers by more than a century.New Jersey courts found that the exclusion required something closer to conventional military action, not a cyber bug gone haywire, and the case settled in January of 2024, just before the state Supreme Court was scheduled to hear it. Mondelez settled a parallel dispute with Zurich over a claim exceeding $100 million around the same time.Lloyd’s subsequently required standalone cyber policies to address catastrophic state-backed attacks explicitly, including a method for resolving attribution. Agentic AI reopens both the silent-coverage and attribution problems simultaneously.If a model causes a loss, responsibility might plausibly be assigned to the model developer, the company that deployed it, the vendor that built its evaluation environment, or the organization whose excessive permissions allowed the damage to spread.In two of this summer’s three sets of incidents, a third-party evaluator’s misconfiguration helped create the path to the internet. In OpenAI’s case, the path involved vulnerabilities in OpenAI’s own infrastructure and then weaknesses at several outside services.The most important insurance risk, though, may ultimately be technological and infrastructural aggregation.The 2024 CrowdStrike outage demonstrated that a single faulty software update could interrupt airlines, banks, hospitals, and other organizations around the world without any malicious attacker.Consider a future in which thousands of companies give access to agents built on a small number of frontier models. A flaw or unwanted behavior in one widely used model could cause problems for a large portion of an insurer’s entire customer base, all at once.And this risk is arriving in the midst of an unusually competitive insurance market, after twelve quarters of declining rates and as loss ratios are beginning to rise. If insurers decide they cannot price the exposure, they will probably respond through some combination of higher prices, lower limits, stricter conditions, and exclusions.All that in mind, the first thing to be watching in the coming months is policy language during the January 2027 renewal season.The current posture, if you recall, is to clarify rather than exclude, but language addressing systemic AI events or dependence on a single model provider is already being discussed. A significant loss could change the market’s posture quickly, making it more limited and expensive.The second thing to watch for is the first big, disputed claim.Industry interviews can describe what insurers expect to cover, but their operational position will be established when an AI agent causes an eight-figure loss and a carrier must either pay or explain why it won’t.The NotPetya disputes took years to resolve, and the first autonomous-agent case could similarly define policy language well before it produces a final court ruling. That’ll be a moment that maybe defines the next ten years of cyber insurance standards, if not longer.The third thing to watch for is changes to insurance questionnaires.Underwriters could begin asking whether agent credentials are narrowly scoped, whether actions are comprehensively logged, whether consequential decisions require human approval, whether agents have kill switches, and whether claimed containment has been verified rather than merely documented.If these controls affect the price and availability of insurance, they could become industry standards faster than legislation makes them mandatory, just like that previous round of cyber insurance baselines that became common because, lacking them, customers could no longer get cyber insurance at any price.And finally, there’s also a government process developing alongside the private one.An executive order signed in June established a voluntary framework under which developers can provide the federal government with access to certain frontier models for up to 30 days before release. The process uses classified benchmarks to evaluate advanced cyber capabilities, and representatives from major AI companies discussed the framework at the White House in August of 2026.If insurers eventually require evidence that a model or company participated in this sort of evaluation, a voluntary government program could evolve into a practical requirement without ever becoming an actual legal mandate.This wouldn’t make insurance a perfect regulator. Insurers are accountable to their own balance sheets, not to the public as a whole, and they may respond to poorly understood risks by excluding them rather than making them safer, as has been the case with some types of weather disaster in areas that are becoming more prone to things like flooding and wildfires.But insurance companies do have to convert uncertainty into prices, contractual language, and technical requirements, which makes some currently difficult to quantify things more quantifiable, at least monetarily.The AI incidents this summer caused no reported material damage, which is one reason they’re getting relatively little coverage, despite being fairly meaningful events. The insurance industry sees these sorts of narratives through the lens of cost and risk, though, and this is a category of loss with no conventional attacker, no stolen credential, several plausible defendants, and almost no claims history, arriving at a moment in which companies are racing to give autonomous systems more access to all of their systems—a lot of valuable and potentially vulnerable infrastructure.The people whose job is to price that risk haven’t decided what it costs, yet. And until they do, what they add to or remove from their application forms may be more consequential to the norms and expectations in this space than what the government mandates, on the matter.Show Noteshttps://www.businessinsurance.com/as-ai-agents-go-rogue-cyber-insurers-are-adapting-their-policies/https://www.investing.com/news/stock-market-news/as-ai-agents-go-rogue-cyber-insurers-are-adapting-their-policies-4878768https://openai.com/index/hugging-face-model-evaluation-security-incident/https://openai.com/index/hugging-face-incident-and-the-road-ahead/https://huggingface.co/blog/security-incident-july-2026https://huggingface.co/blog/agent-intrusion-technical-timelinehttps://www.anthropic.com/news/investigating-incidents-cybersecurity-evalshttps://cyberunit.com/insights/ai-sandbox-escapes-three-labs-meta-anthropic-openai/https://labs.cloudsecurityalliance.org/research/csa-research-note-frontier-ai-models-hacking-real-systems-ev/https://techcrunch.com/2026/07/07/the-worst-hacks-and-breaches-of-2026-so-far/https://blackkite.com/reports/2026-ransomware-reporthttps://www.cisa.gov/news-events/cybersecurity-advisories/aa23-320ahttps://www.munichre.com/en/insights/cyber/cyber-insurance-risks-and-trends-2026.htmlhttps://www.swissre.com/risk-knowledge/advancing-societal-benefits-digitalisation/about-cyber-insurance-market.htmlhttps://www.marsh.com/en-gb/services/international-placement-services/insights/global-insurance-market-index.htmlhttps://compyl.com/guides/cyber-insurance-readiness-guide/https://www.aon.com/en/insights/articles/cyber-and-tech-e-and-o-market-reporthttps://www.cybersecuritydive.com/news/merck-settlement-notpetya-insurance/703922/https://therecord.media/mondelez-and-zurich-reach-settlement-in-notpetya-cyberattack-insurance-suithttps://assets.lloyds.com/media/eb6de9ce-293b-4213-80f8-9dc69c45b1a9/Y5381%20Market%20Bulletin%20-%20Cyber-attack%20exclusions.pdfhttps://www.whitehouse.gov/wp-content/uploads/2026/06/eo-14409.pdfhttps://www.axios.com/2026/08/04/inside-trump-ai-framework This is a public episode. 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This week we talk about money policies, yield curves, and government bonds.We also discuss the Fed, the Treasury Department, and a WWII accord between them.Recommended Book: Paved Paradise by Henry GrabarTranscriptIn April of 1942, a few months after the United States entered World War 2, the US Treasury Department asked the Federal Reserve to help it borrow a truly staggering amount of money, and as cheaply as possible. The Fed agreed, committing itself to holding short-term Treasury bill rates at three-eighths of 1%, while also capping the yield on long-term government bonds at 2.5%.This was a type of yield curve control. Rather than allowing the market to decide how much interest the government would pay, the Fed decided that price and promised to enforce it.That helped finance the war, because the Treasury knew its borrowing costs wouldn’t spiral out of control at a moment when it needed to spend unprecedented sums on ships, planes, weapons, soldiers, and all the other machinery of an ongoing global conflict.The downside was that the Fed lost control of an important monetary policy lever.Bond prices and yields move in opposite directions, so keeping yields below a certain level meant the Fed had to stand ready to buy bonds whenever their prices dropped. It couldn’t decide in advance how many it would buy, or how much money it would create in the process. The market would thus forth decide that, instead.Consequently, the Fed became, in some ways, an extension of the Treasury’s debt-management operation, its inflation-related responsibilities made secondary to the government’s need for cheap financing.That arrangement persisted after the war ended, despite the return of inflation, and President Harry Truman’s administration pushed to maintain it during the Korean War, as well.Fed officials resisted, though, with inflation running at more than 8%, and after a very public, very contentious standoff, on March 4, 1951, the Treasury and the Fed announced that they had reached what became known as the Treasury-Fed Accord.That agreement did not make the Fed independent all at once, but it established the principle underlying the modern relationship between these institutions: the Treasury manages government borrowing, while the Fed sets monetary policy based on inflation and employment, not on how much that policy costs the government.The market, in other words, would once again be allowed to decide the price of long-term US debt.What I’d like to talk about today is what happens when that price goes up, what’s pushing long-term US borrowing costs toward levels we haven’t seen in decades, and why two people appointed by the same president are pulling in opposite directions on this issue.—The Federal Reserve’s primary interest-rate lever is the federal funds rate, which is the overnight rate banks charge each other to borrow money. The Fed currently targets a range of 3.5 to 3.75 percent for that rate, and while it has other tools, this is the number people are usually talking about when they say the Fed raised, cut, or held rates.The Fed does not directly set the yield on 10- or 30-year Treasuries, though.Those securities are sold at auction and then traded in a huge secondary market, and their yields reflect a combination of what investors expect inflation to look like, where they think short-term rates will go over the life of the bond, and what’s called the term premium.The term premium is basically extra compensation for uncertainty. If you lock up your money for 30 years instead of rolling over short-term debt, you accept the risk that inflation, growth, government policy, and other variables will change in ways that make your bond less valuable over that thirty year period. The more uncertain the future seems, the more compensation you’re likely to demand.And again, when demand for a bond falls, its price falls and its yield rises. When we say yields are rising, that means borrowers have to offer investors, the people and institutions giving them the money they want to borrow, more money, more interest, to convince them to buy those bonds.That doesn’t only affect the government. The 10-year Treasury serves as something like a reference rate for the entire economy, influencing mortgages, business loans, and the value of long-lived assets.As of September 3 of 2026, the average US 30-year fixed mortgage rate was 6.71%, up from 6.5% a year earlier. That increase is the result of yield increases in the bond market.Long-term Treasury yields have been climbing for much of 2026, and that climb accelerated over the summer.The 30-year yield reached about 5.31 percent on August 17, its highest level since 2007. A few days earlier, the Treasury sold 30-year bonds at a yield of 5.216%, the highest borrowing cost at one of those auctions since 2001.The 10-year yield briefly hit about 4.81% this past week, its highest level since early 2025, and ended Friday at about 4.78%. The two-year yield, which tends to track expectations about contemporary Fed policy more closely, ended at about 4.37%.There isn’t one clean cut reason for these yield bumps. Instead, there are a bunch of forces pushing in roughly the same direction.The first is government borrowing. The Congressional Budget Office now expects a roughly 2.1 trillion dollar federal deficit this fiscal year, which is 200 billion dollars more than it projected in February. Covering that gap means issuing more debt, and more supply generally means the Treasury has to offer a better return to attract enough buyers.The second is competition from corporations, especially technology companies borrowing to build AI infrastructure and data centers.The Dallas Fed estimates that AI-related investment-grade bond issuance—these companies borrowing money, in the form of bonds, to help build more data centers and other AI-enabling stuff—could total around $300 billion this year, creating long-duration debt equivalent to about an eighth of what the Treasury is expected to issue. Some of the companies selling this debt have extremely strong balance sheets and high credit ratings, so investors who want safe-ish, long-term bonds suddenly have a lot more options, and the US government has to compete with that for a finite pool of investor resources.Third, oil prices have surged following renewed strikes and attacks around the Strait of Hormuz, with US benchmark prices recently climbing above $90 a barrel. More expensive energy can goose inflation across the economy, which makes locking in a fixed return for 10 or 30 years less appealing, because those yields might not keep up with the practical devaluation of the dollar.Fourth, that aforementioned term premium has risen as investors ask to be paid more for uncertainty related to inflation, deficits, geopolitics, and future Treasury issuance.And fifth, the pool of buyers is changing. Foreign investors still own trillions of dollars in Treasuries, but private foreign demand for notes and bonds fell sharply in June, even as corporate bonds attracted more of that finite sum of money.A big shift we seem to be seeing here is that some investors seem to be judging Treasuries less as a bet on the next Fed meeting, and more as a long-term bet on whether the US political system can manage its finances. And that shift is showing up at an awkward moment for the two institutions involved in the 1951 Accord.Kevin Warsh, who became Fed chair in May, used his August 28 speech at Jackson Hole to say that although inflation expectations remain anchored, the Fed still has work to do if underlying inflation is not moving toward its target quickly enough.Markets read that as a warning that a rate hike could be coming, and the unexpectedly strong August jobs report reinforced that interpretation: employers added 162,000 jobs, far more than economists anticipated, while estimates for June and July were revised upward.The Treasury Department, meanwhile, is moving in the opposite direction.On August 19, Treasury Secretary Scott Bessent announced that the government would at least double the size of its long-term bond buybacks, from a maximum of 2 billion dollars to at least 4 billion dollars per operation, beginning September 9 and continuing through November 4.The stated purpose is to improve liquidity, buying older, less frequently traded 10- to 30-year securities. But buying long-term bonds also reduces the supply available to investors, boosting prices and putting downward pressure on yields, which is why Bessent has referred to the approach as a “Treasury twist.”The scale is small in the context of a $40 trillion national debt, and analysts have described it as more signal than substance. It is nonetheless a striking signal: one Trump appointee is telling markets that higher short-term rates may be necessary to control inflation, while another is using the Treasury’s balance sheet to push long-term rates in the other direction.These jobs, which again, were separated in 1951, are working against each other. And this matters, first, because long-term government debt is the foundation upon which a lot of other prices are built.When a 30-year Treasury yields more than 5%, companies refinancing debt have to pay more, commercial real estate becomes harder to finance, mortgages become more expensive, and investors have less reason to pay extremely high prices for stocks based on profits those companies might earn many years from now.It also matters because interest on the federal debt has become one of the government’s largest expenses. Gross interest expense reached about $1.17 trillion during the first ten months of fiscal 2026, up about 15% from the same period last year. The somewhat narrower CBO measure of net interest reached $963 billion over that span, roughly level with Medicare spending and greater than defense spending.This creates a potentially self-reinforcing loop: higher yields increase the cost of servicing the debt, higher interest costs expand the deficit, larger deficits require more borrowing, and more borrowing can put further upward pressure on yields.Economists use the term fiscal dominance to describe the point at which government financing needs start to constrain monetary policy, pushing the central bank to keep rates lower than it otherwise would, or to buy government debt, even if doing so undermines its effort to control inflation.The US is not necessarily at that point, but this is exactly the kind of pressure the 1951 Accord was meant to prevent.As with everything government money-related, there’s also a global dimension to this shift.For decades, Japanese banks, insurers, pension funds, and other institutions bought foreign bonds in part because yields at home were so low. On September 1, though, Japan’s 10-year government bond yield touched 3% for the first time since 1996.Japan’s government has more debt relative to the size of its economy than any other wealthy country, and it assumed a 3% long-term rate when calculating debt-service costs for its current budget. Rising above that level would strain its finances, but those higher yields also give Japanese investors more reason to keep their money at home.That doesn’t mean Japanese institutions will dump all their Treasuries. Currency-hedging costs and the specific needs of different investors complicate that calculation. But when a major source of relatively steady demand becomes more price-sensitive, the marginal buyer of US debt has to be paid more to invest.Finally, the Treasury market itself has become somewhat more fragile.The amount of debt in circulation has grown far faster than the balance sheets of the dealers that traditionally absorb buying and selling. Hedge funds have filled some of that gap using highly leveraged strategies, including something called the cash-futures basis trade.Fed researchers estimate that these positions reached about $830 billion by September 2025, representing 35% of hedge funds’ long Treasury exposure. These trades can provide useful liquidity when markets are calm, but because they rely on enormous amounts of borrowed money to capture tiny price differences, they can also unwind pretty quickly when volatility spikes.That sort of unwind contributed to the Treasury-market seizure in March of 2020, and a different leveraged hedge-fund strategy added to turbulence in April of 2025.The assets treated as the world’s safest and most liquid can still become difficult to sell when everyone needs cash at the same time, in other words.The next few weeks should partially clarify what’s actually driving this unusual market.The expanded Treasury buybacks begin the day after this episode goes live, September 9. Producer-price inflation data arrives on September 10, consumer-price data on September 11, and the Fed meets on September 15 and 16. The Bank of Japan follows on September 17 and 18, when it may increase its policy rate from 1% to around 1.25%.If the Fed hikes and long-term yields fall, that could indicate investors view the move as credible inflation-fighting: short-term borrowing becomes more expensive, but the term premium shrinks because the distant future seems less inflationary.If the Fed holds after a soft inflation report and short-term yields fall while the 30-year barely moves, that would suggest the long end is being driven by deficits, debt supply, oil prices, corporate competition, and global demand more than Fed policy.And if the buybacks begin but long-term yields continue to climb, that would demonstrate the limits of debt-management policy in a market this large. The Treasury could respond by issuing more short-term and less long-term debt, reducing immediate borrowing costs, though that would also mean refinancing more frequently and taking on the risk that rates remain high.It could also draw down some of the around $950 billion in its account at the Fed to fund larger buybacks, but that cash also serves as a buffer against the debt ceiling, which the government is currently expected to reach sometime in 2027. Spending the buffer now would mean rebuilding it later, and rebuilding it would require issuing even more debt.Back in 1951, the Treasury and the Fed reached an agreement that the central bank should not be required to make government borrowing cheap, and that the price of long-term debt should be allowed to reflect what the market believed that debt was worth.Right now, the market is rendering its verdict, and that verdict is that lending the United States money for 30 years has become substantially more expensive. Now we wait to see what Washington decides to do about it.Show Noteshttps://www.federalreservehistory.org/essays/treasury-fed-accordhttps://www.brookings.edu/articles/what-is-the-treasury-fed-accord-of-1951-and-why-is-it-important/https://www.federalreserve.gov/data/three-factor-nominal-term-structure-model.htmhttps://www.freddiemac.com/pmmshttps://www.cbo.gov/publication/61983https://fiscaldata.treasury.gov/datasets/interest-expense-on-the-public-debt-outstanding/interest-expense-on-the-public-debt-outstandinghttps://fiscaldata.treasury.gov/datasets/debt-to-the-penny/debt-to-the-pennyhttps://www.dallasfed.org/research/economics/2026/0210-searls-aifinancinghttps://home.treasury.gov/news/press-releases/sb0606https://home.treasury.gov/news/press-releases/sb0607https://www.federalreserve.gov/newsevents/speech/warsh20260828a.htmhttps://www.bls.gov/news.release/empsit.htmhttps://apnews.com/article/1af16359af43eb8abc66445465f633c8https://apnews.com/article/775d7cf741349c7c8e689c0beb57f074https://apnews.com/article/a27a8d3651ff810b25c610d3e1b6259dhttps://www.federalreserve.gov/econres/notes/feds-notes/decomposing-hedge-funds-u-s-treasury-exposures-20260622.htmlhttps://www.imf.org/en/publications/fandd/issues/2026/03/safeguarding-the-treasury-market-jeremy-steinhttps://www.investing.com/news/economy-news/japans-benchmark-bond-yield-rises-to-3-for-first-time-in-30-years-4883532https://www.boj.or.jp/en/mopo/mpmsche_minu/index.htmhttps://bipartisanpolicy.org/article/when-will-we-reach-the-debt-limit-again/https://home.treasury.gov/policy-issues/financing-the-government/quarterly-refunding/most-recent-quarterly-refunding-documents/https://www.federalreserve.gov/monetarypolicy/fomccalendars.htmhttps://www.bls.gov/schedule/2026/09_sched.htmhttps://www.axios.com/newsletters/axios-markets-a975877a-ddce-4ea0-a735-4b460d37af90.htmlhttps://www.ft.com/content/c96c25c1-b27c-4c08-a2ba-21821b39dd78https://www.axios.com/2026/08/19/rates-treasury-borrowing-bessent This is a public episode. 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This week we talk about peaker plants, blackouts, and at-home battery backups.We also discuss energy resiliency, solar panels, and hydro.Recommended Book: The Tainted Cup by Robert Jackson BennettTranscriptPeaking power plants, often just called peaker plants, are power plants that are turned on only during periods of high energy demand. That’s in contrast to a baseload power plant, which operates more or less 24/7 to ensure there’s a steady amount of electricity available on the local power grid.The need for peak-load energy varies depending on the time of year and which part of the world you’re looking at. In general, though, energy demand tends to increase in the morning and evening because of temperature fluctuations and lifestyle rhythms.People are at home in the morning and return from work in the evening, at which point they turn on their ACs or heaters, TVs, lights, electric kettles, and video game consoles. That leads to an irregular surge in demand compared with the steady office and factory demand met throughout the day by the baseload power plant.When energy demand peaks, approaching or exceeding what the baseload plant can reliably provide, the peaker plant is spun up and more energy is added to the grid. This helps avoid brownouts and blackouts, situations in which people lose access to power because there isn’t enough to go around.This also helps stabilize energy prices. In most countries, pricing is used to manage scarce energy resources, so as a grid approaches the point where it’s running out of available electricity, prices rise to incentivize less energy use. Peaker plants keep those prices from going sky-high by increasing the supply, preventing demand from pushing prices into absolutely ridiculous territory.Some peaker plants operate for a handful of hours basically every day. This is especially true in places with extreme temperature fluctuations, or in areas where the population or manufacturing activity has increased rapidly and the local infrastructure hasn’t caught up. In those places, the backup plant is used more regularly because the baseload supply hasn’t yet increased to meet that new, consistently higher demand.Peaker plants are often less efficient to run because they aren’t meant to be used all the time. Consequently, if the baseload power plant isn’t capable of providing enough energy for a region on a regular basis, electricity can get much more expensive for everyone, all the time. A power plant intended for occasional use is instead operating constantly, and it wasn’t built to be efficient. It was built to come online quickly and operate only during periods of irregular, excessive need.What I’d like to talk about today is an alternative to peaker plants that was conceived of decades ago, but which has only recently started to be deployed at scale in some areas.—As I mentioned in the intro, a peaker power plant is meant to be turned on irregularly to meet above-average energy needs. Those periodic pops in demand are accounted for, and peaker plants are built specifically to meet them. As a result, these plants are typically more expensive and often more polluting than baseload plants, with many using natural gas or coal to produce extra electricity for the grid.In the late 1990s, researchers proposed that it might someday be possible to link energy-production and storage sites together, creating a more flexible grid system they called a virtual power plant. Further research in the early 2000s expanded on the concept, looking specifically at renewable-energy options and how they might be aggregated into a similar virtual-power-plant setup.The basic idea is to recreate the effect of a peaker plant—adding electricity to the power grid when it’s most needed—by aggregating power-generating or storage assets and tapping them only when necessary.Software manages that aggregation of smaller assets, ensuring the additional energy reaches the grid when it’s needed and at the necessary scale. Managing these assets in this way allows smaller production and storage infrastructure to recreate the impact of a larger peaker plant.A German energy company called RWE launched the first real-world virtual power plant in 2008, linking nine of its hydroelectric plants into a virtual 8.6 MW unit whose output could be managed and deployed remotely. A few years later, in 2011, a Swiss energy company called Kraftwerke did the same with a slew of biogas, solar, and wind-power infrastructure scattered across seven countries.The concept expanded to include demand-side residential energy assets in 2016, when the Australian city of Adelaide enacted a program backed by the Australian Renewable Energy Agency. The program deployed 1,000 battery systems to homes and businesses across the city. Those battery systems were hooked up to solar panels, and the software managing the batteries allowed their stored energy to act like a 5 MW peaker plant.Tesla then applied the same general idea across South Australia, where energy prices had long been volatile, beginning in 2018. That program reached 50,000 homes by 2022. It was acquired by an energy company called AGL in 2025, which expanded it further until the virtual power plant had a capacity of 25 MW of peaker solar energy and 37 MW of battery-stored peaker energy.Now, again, there’s a certain amount of energy available on the grid from standard baseload production sources, including traditional coal- and gas-fired power plants, hydroelectric plants, and nuclear power plants.Solar and wind arrays also contribute to the baseline energy load in some parts of the world. That baseline can be augmented by utility-scale battery facilities that store excess wind and solar production. This makes renewables more reliable as baseload options because excess energy generated during the day or during especially windy periods can be stored in those batteries and used later, at night or when the wind isn’t blowing as hard.A VPP addresses periods when the available baseload supply doesn’t measure up to current demand. When temperatures are especially high and everyone is using their air conditioners more, and a gas plant or solar array can’t provide enough electricity to meet demand, the company operating the virtual power plant can draw energy from scattered resources to cover that additional use.In some cases, that means pooling energy generated by small hydroelectric dams. In others, it means drawing a previously agreed-upon amount or percentage of energy from a homeowner’s battery backup.Maybe they have a battery that stores excess electricity from their solar panels, which they can use at night. They might also have an agreement with the VPP operator allowing it to draw a certain amount of energy from that battery when necessary, adding it to the grid to ease excessive demand.This kind of agreement is often beneficial for the homeowner sharing some of their excess energy with the grid to help prevent blackouts and excessively high prices. The cost of the battery installation and hardware might be subsidized, or they might make a small amount of money every time that energy is borrowed.There are also variations on this model that provide the homeowner or renter with a fancy thermostat. During periods of high demand, the thermostat might automatically adjust the AC by a degree or two when the grid is being crushed by demand on crazy-hot days. This ensures there’s enough energy to go around by reducing demand rather than increasing supply.Some models also use energy-pricing arbitrage, automatically selling stored energy when electricity is expensive and buying it back when electricity is cheap. This helps balance the grid’s overall energy load by contributing to it when energy is scarce and expensive, then restoring that energy to the battery when it is abundant and cheap.Increasingly, these systems tap into other resources connected to the grid to reduce demand or increase supply. They might borrow some energy stored in a homeowner’s electric vehicle, for instance, which has been left plugged in to charge but can also act as another, quite large, household battery. Or they might reduce the power being sent to heat pumps or water heaters.Each of these devices or other assets is treated as part of the larger virtual power plant, which may be composed of thousands or tens of thousands of homes and all their connected assets. This helps manage supply and demand so that blackouts and dramatically higher energy prices are less likely, even on days with bizarre weather or when larger energy assets, like power plants, aren’t operating at full capacity.This is a huge win for resiliency, and it’s also often much cheaper than installing and operating a peaker plant, usually around 40–60% cheaper.These systems can also be installed and activated much faster than a full-on power plant, while dramatically reducing the amount of land used for energy infrastructure and the bureaucracy that has to be traversed to get something like a power plant or solar array installed and operating.Those big chunks of infrastructure can take years or decades to bring online, while a VPP can often be up and running within just a few months. It usually requires no new land and no new interconnections in terms of cables or whatnot. It uses infrastructure that’s already there in most cases, though it can also be strengthened by deploying assets, like household batteries, that are useful to the homeowner for other reasons. Kind of a win-win.At the moment, virtual-power-plant capacity is limited primarily by regulatory approval, at least in most countries. Energy utilities don’t have much incentive to move these systems forward because they get paid for building and managing traditional power assets, and VPPs are not that.Sometimes an energy company will run this type of program, but usually only if it gets to sell the hardware and is paid to manage the software that keeps everything running smoothly. Household batteries and similar assets otherwise represent competition, so utilities are less inclined to allow these systems to move forward or even be legally installed without a fight.That said, the major players in the VPP space right now are Sunrun, Tesla, Renew Home, Uplight, Next Kraftwerke, and sonnen. The latter is the largest VPP operator in Europe and has recently been expanding into the US, especially in Utah.Most VPP deployment in the US is happening in California, Texas, Florida, and Puerto Rico. These systems are also being deployed across South Australia, Germany, and China, where the first gigawatt-scale residential VPP, which aggregates air conditioners and water heaters across millions of households, has been launched.This category of energy technology has rolled out more slowly than originally anticipated. When the early models were deployed in Europe, their outcomes were considered broadly beneficial, but expansion was hindered by regulations—paperwork, basically—and pushback from existing utilities that didn’t want the competition.VPPs were also bundled with other renewable-energy infrastructure and consequently faced substantial opposition in the US, in particular, during both Trump administrations. Those administrations pulled support for renewables across the board and, in some cases, actively tried to kill these industries to make even more room for oil and gas companies.In 2025 and so far in 2026, though, the blazing-fast deployment of data centers has brought VPPs back into the conversation. Data centers require a silly amount of energy to run, and power grids in the areas where they’re being built have been strained as a consequence, dramatically increasing energy prices.VPPs won’t solve that problem, but they could ease it in several ways. They can temper energy use and make more electricity available during periods of peak demand without requiring the construction of expensive power plants that might not come online for years or even a decade.They could also reframe the use of VPPs so that they’re no longer seen primarily as environmental efforts, but as economically viable means of addressing data-center-created energy shortfalls. That could lead to more VPP build-outs because these systems would no longer be such obvious targets for anti-renewable-energy legislation and politics.Show Noteshttps://en.wikipedia.org/wiki/Peaking_power_planthttps://en.wikipedia.org/wiki/Virtual_power_planthttps://www.sciencedirect.com/science/article/pii/S2211467X2400097Xhttps://www.theguardian.com/environment/2016/aug/05/adelaide-charges-ahead-with-worlds-largest-virtual-power-planthttps://www.nrg.com/insights/energy-education/understanding-virtual-power-plants--a-guide-to-vpps.htmlhttps://techcrunch.com/2026/08/19/home-batteries-are-suddenly-cheap-and-everywhere-heres-why/https://pv-magazine-usa.com/2026/08/13/tesla-unveils-zero-down-powerwall-lease-program-with-retail-electric-plan-in-texas-touts-global-vpp-potential/https://www.energy-storage.news/base-power-launches-100mw-vpp-programme-in-texas/https://www.ess-news.com/2026/02/12/texas-lands-its-first-battery-only-virtual-power-plant/https://nuwattenergy.com/en/virtual-power-plants-2026https://www.ess-news.com/2026/06/25/sunrun-tesla-renew-home-announce-plans-for-16-8-gw-virtual-power-plant-program/https://www.sciencedirect.com/science/article/pii/S2352484725003865https://www.cleanenergywire.org/news/start-next-kraftwerkes-renewable-virtual-power-plant-stabilises-gridhttps://www.energy.gov/edf/virtual-power-plants-projectshttps://www.woodmac.com/press-releases/virtual-power-plant-capacity-expands-13.7-year-over-year-to-reach-37.5-gwhttps://www.utilitydive.com/news/in-2026-virtual-power-plants-must-scale-or-risk-being-left-behind/810321/https://ieefa.org/resources/case-virtual-power-plantshttps://uplight.com/blog/virtual-power-plants-are-powering-the-grid-of-the-future-and-uplight-is-leading-the-way/https://sepapower.org/knowledge/vpp-and-supporting-der-policy-developments-q1-2026/https://www.energymining.sa.gov.au/consumers/solar-and-batteries/south-australias-virtual-power-planthttps://whatisavpp.com/research/topics/enpal-flexa/https://www.canarymedia.com/articles/virtual-power-plants/rooftop-solar-industry-trump-budget-lawhttps://foleyhoag.com/news-and-insights/blogs/energy-and-climate-counsel/2026/july/virtual-power-plants-the-distributed-energy-revolution-has-arrived/https://ieefa.org/resources/case-virtual-power-plantshttps://sepapower.org/knowledge/vpp-and-supporting-der-policy-developments-q1-2026/https://www.cesa.org/resource-library/resource/puerto-rico-virtual-power-plant/https://www.energy.gov/edf/virtual-power-plants-projectshttps://www.energymining.sa.gov.au/consumers/solar-and-batteries/south-australias-virtual-power-planthttps://www.ess-news.com/2025/01/16/china-launches-work-on-its-first-gw-scale-residential-virtual-power-plant/https://www.ferc.gov/ferc-order-no-2222-explainer-facilitating-participation-electricity-markets-distributed-energyhttps://www.utilitydive.com/news/in-2026-virtual-power-plants-must-scale-or-risk-being-left-behind/810321/ This is a public episode. 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This week we talk about borders, trade wars, and belligerence.We also discuss Trump’s tariffs, inflation, and nationalism.Recommended Book: Vulture Capitalism by Grace BlakeleyTranscriptThe US and Canada share the longest international border in the world, totaling more than 5,500 miles, or nearly 8,900 km. The specific details of this border have changed over the decades, but the current delineation was largely in place following the San Juan Islands water arbitration of 1872, which brought a 12-year joint military standoff between the US and Great Britain, known as the Pig War, to an end, and fed into a 1908 legal framework that relied on modern mapping of the entire frontier, which led to the precise cartography of the current international border between the US and Canada.Since then, after some issues with gold rush-era land rights were figured out in Alaska, and some treaties were signed regarding the disarmament of the Great Lakes, things have been pretty calm along this massive border. Trade hasn’t always been the most efficient and free—the early 20th century in particular was pretty fraught in this regard, as Anti-Americanism raged through Canada. That led to a dismissal of a proposed lowering of trade barriers by the Canadian Liberal government in 1911, anti-American sentiment flogged by the Conservatives, who rode their slogan, “No truck or trade with the Yankees,” to a Canadian nationalism-powered victory.After the US entered WWI and the Allies tallied a victory, though, the US and Canada exchanged their first ambassadors, Warren Harding became the first US President to make an official visit the confederated Canada, visiting Vancouver in 1923, and things between these two countries were looking pretty good until 1930, when the US passed the Smoot-Hawley Tariff Act, which was a protectionist trade act that, among other things, raised tariffs on incoming Canadian goods in order to protect competing American business interests; making the local offerings artificially more competitive than the stuff coming in from Canada, basically.The Canadian government hit back with their own higher tariffs and shifted more of their trade to other Commonwealth nations, which led to a decrease in trade between the US and Canada of about 75%; and this was happening during the Great Depression, which is why that Act was enacted, the US government was hoping to bolster their own economy, but instead of helping, it furthered those economic difficulties, because of that drop in trade and international custom—Smoot-Hawley is generally considered to have been an incredibly bad economic move, and US President Hoover signed it against the advice of senior economists, because it seemed politically expedient, US businesses were clamoring for advantages because they thought it would help them, but instead it worsened the Great Depression, and this Act is now taught as a cautionary example of why protectionist trade policies, while appealing in a nationalist sense, tend to be pretty bad, almost always, economically.US-Canadian relations improved a bit in the WWII-era, and into the early decades of the Cold War. By the late-1960s, the US had become Canada’s largest export market, and that’s why Nixon’s 1971 decision to enact a 10% tariff on all imports, including those from Canada, hit the Canadian economy so hard. Overall US-Canadian relations soured during Nixon’s time in the White House, in part because the Canadian government pivoted toward Europe, rather than kowtowing to the US’ economic demands, and Nixon’s belligerence in the face of that pivot didn’t help matters.When US President Carter stepped into office, however, things improved for a while, and though there were serious bouts of stagflation in both nations through his time in the White House, American investment in Canada increased, and relations continued to be friendly leading into the 1990s, at which point the North American Free Trade Agreement, or NAFTA was signed, in 1994. NAFTA created a common market in North America, between the US, Canada, and Mexico, and that meant the $19 trillion or so in trade between the 470 million people or so living in North America by 2014, would be entirely or almost entirely without barriers, no tariffs or very small, focused tariffs.Though imperfect by many measures, NAFTA is generally considered to have been a major success, at least in terms of raw economic productivity in North America. And in 2020, is was replaced by the USMCA, the United States-Mexico-Canada Agreement, which is often called NAFTA 2.0, which is in many ways just a modernization of NAFTA that updates many of the earlier provisions and focuses more on digital trade and intellectual property than its precursor.In July of 2026, however, the US government announced that it would not be renewing the USMCA, after Canada asked the US and Mexico to renew it for another 16 years. The pact remains in effect until it expires in 2036, though it can also be renegotiated or replaced before that. The US Trump administration pointed at rising trade deficits between the US and both Mexico and Canada as the rationale for not renewing it, and at loopholes in the agreement that allowed other nations, like China, to send car components to Mexico and then essentially get Chinese vehicles into North American markets, benefitting from the agreement despite not being a signatory of it.What I’d like to talk about today is a new trade scuffle between the US and Canadian governments, and what it might mean for the two nations in the coming years if said scuffle becomes a more persistent trade war.—In July of 2026, US President Trump threatened to invoke a provision of the Smoot-Hawley Tariff Act, that Act from 1930, the Great Depression, which was previously unused, to impose additional tariffs on Canada, despite the continued existence of the USMCA trade agreement.Stepping back a bit, in his second administration, Trump has unilaterally imposed all kinds of tariffs on pretty much everybody, arguing that those tariffs would bring in more money and thus allow him to lower taxes on the wealthy and on businesses while still bringing in enough to reduce the federal deficit. This claim wasn’t backed by economists and the deficit has continued to increase at a record rate under his administration, but he’s continued to try this approach and make these claims, regardless.The Supreme Court eventually stepped in to limit Trump’s ability to impose tariffs in early 2026, saying that the Presidency doesn’t have the power to create a bunch of tariffs and impose them on everyone, even when he points at the International Emergency Economic Powers Act as justification. That halting of Trump’s tariffs seem to have helped temper inflation in the US a bit, but now Trump is now taking another approach to try to accomplish the same, invoking this 1930, Great Depression-era act to try to give himself broad tariff-applying powers, once more, despite that Supreme Court decision.As I mentioned in the intro, the application of Smoot-Hawley tariffs worsened the Great Depression, as the US applied all these tariffs on foreign goods to try to give its own industries an advantage, and that led to counter-tariffs from most of its targets. Within a few years, the people behind those tariffs were booted from office, and the bad taste it left in the US government’s mouth is part of what led to the wave of trade liberalization that happened post-WWII—everyone was done with the heavily tariffed trade environment because it kind of sucked for everyone, so free trade was the name of the game for decades.Now at the time, even though the tariffs had a net-negative impact on the US, they didn’t exactly crush the US because international trade only made up about 10% of the US economy back then. Today, about 25-27% of US GDP relies on international trade. So still not a majority by any means, and the global average is about 63%, so the US is more capable of undertaking this sort of trade barrier strategy than many other nations, but that’s still a pretty substantial chunk of economic activity in the US that’s impacted by such efforts.This declaration by Trump that he would be using this old Tariff act to apply new tariffs on Canadian goods arrived after trade negotiations between the US and Canada fell apart, reportedly mere minutes before a deadline, with both sides claiming to the press that the other side attempted to make a last-minute change that was untenable.After Trump announced that additional 50% tariff on certain goods, the Canadian Prime Minister Mark Carney announce that he would be matching those tariffs, dollar for dollar—a move that’s likely to hurt Canada more than the US, though many US industries, including those that are already hurting because of resource shortages that have been amplified by Trump’s war with Iran and the consequent shut-down of the Strait of Hormuz, not to mention all the uncertainties that have arisen because of his other tariff threats, those industries and businesses will suffer more than most; the US auto industry, for instance, relies on goods that pass back and forth across the Canadian border several times before eventually ending up in US-made automobiles. The US construction industry is likewise reliant on Canadian lumber products.It seems like Canada has generally tried to work with the US government to come to a mutually beneficial and appealing compromise, but when that happens, the US then pushes for more, then blames Canada for fighting back when the US attempts to punish them for not just giving in. And this is something the Trump administration, and Trump himself, have become fairly notorious for, so it’s a decent assumption, even though we don’t know all the details here, yet, that this is what happened in this case, too.And as a result, it sounds like the US will apply 50% tariffs on about $20 billion worth of Canadian goods coming into the US, including things like honey, seeds, and agricultural products, and some types of furniture, clothing, and fabric.About 72% of all Canadian exports went to the US in 2025, and many of those exports, the ones to which this new tariff will be applied, will now be more expensive, because these costs are almost always passed on to the end-consumer, not just eaten by the business, which in some cases wouldn’t be able to afford to eat those higher costs and stay in business. This is part of why these sorts of tariffs often increase inflation rates.Both sides of this conflict have publicly committed to not back down, and there’s political hay to be made in sticking with that sentiment; the US is not terribly popular in Canada, or in many allied countries, right now, due to the antagonistic stance the Trump administration has taken toward those relations, so the Canadian government might actually benefit from taking a hard line against the US, here. Likewise, Trump’s supporters might rally around his bullying of a neighboring nation, especially if the administration can successfully frame this as an effort to reduce the deficit or support US businesses, protecting them from foreign competitors are are unfairly competing.There’s still a fair bit of fog of war on all of this, and we’ll know a lot more within the next few weeks, both in terms of the details of what happened, and in terms of what’s likely to happen next. Right now, though, it would seem that we could be headed for a new trade war between two of the world’s most deeply intertwined wealthy economies, and that could lead to a lot of global economic disruptions as some of that trade is rerouted, and as inflation continues to spiral.Show Noteshttps://apnews.com/article/trump-tariffs-canada-us-trade-war-293908564c7a381ea58a61db6e9a8517https://apnews.com/article/canada-us-trade-tariffs-trump-857ef76b20a766e370d70176135b678ehttps://apnews.com/article/canada-us-trade-war-trump-carney-tariffs-4d18583fe52134ca8550652ad9772d2chttps://www.nytimes.com/2026/08/22/business/economy-trade-war-us-canada.htmlhttps://www.axios.com/2026/02/20/trump-tariffs-supreme-court-illegalhttps://access.heinonline.com/HOL/LandingPagehttps://en.wikipedia.org/wiki/North_American_Free_Trade_Agreementdoi.org/10.1017%2FS0022050700019549https://en.wikipedia.org/wiki/Smoot%E2%80%93Hawley_Tariff_Acthttps://en.wikipedia.org/wiki/Canada%E2%80%93United_States_trade_relationshttps://www.axios.com/2026/08/22/us-canada-tariffs-trade-trump-carneyhttps://www.npr.org/2026/08/22/nx-s1-5941584/us-canada-tariffshttps://apnews.com/article/canada-us-trade-tariffs-trump-857ef76b20a766e370d70176135b678ehttps://www.bbc.com/news/articles/cvgvyy4x2mvohttps://www.nytimes.com/2026/08/22/world/canada/carney-trump-canada-tariffs.html This is a public episode. 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This week we talk about the liver, viral infections, and the NHS.We also discuss blood scandals, needle usage, and Nobel Prizes.Recommended Book: A World Appears by Michael PollanTranscriptThe term “hepatitis” refers to the inflammation of the liver, which can result from all kinds of things, including environmental toxins, the consumption of alcohol, or autoimmune diseases. It can also result from viral infections, and the most prominent liver-inflaming viruses are called viral hepatitis.There are five types of viral hepatitis, A, B, C, D, and E, and each of these viruses are distinct, not part of the same viral family, they’re just similarly named because they impact the same organ.Hepatitis A and E are primarily spread through contaminated food and water, and generally resolve on their own, untreated, and cause relatively mild symptoms. Hepatitis B and C are spread through blood and other bodily fluids, and can linger in a host’s body for decades before even showing symptoms. Hepatitis D is a parasite of Hepatitis B, and thus only infects people who carry Hepatitis B.Now again, these are all different conditions that just happen to inflame the liver, so impact and treatment also vary quite a lot. As I mentioned, A and E generally present with mild symptoms and tend to go away on their own, while B and C can stick around a long time. There’s a vaccine for B, but no cure; you can treat it, but that treatment involves suppressing it, and keeping it suppressed, forever. Hep C, in contrast, is curable, and has been since 2014 using what are called direct-acting antiviral pills, but these pills, which are taken for 8 to 12 weeks, are expensive—ranging from $22-95k without insurance, though that price is often reduced substantially for those with insurance, down to as low as $5. This category of drug coverage is often rejected by insurance companies, though, in part because they’re so expensive, that expense the result of little competition in this space; few companies make this type of drug, so those that do can charge more or less whatever they like.Some people with Hepatitis C clear it on their own; about 30% of people who contract it, in fact, clear it within a few months, medication-free. Which is good, because our understanding of this virus is relatively new. Up until 1989, Hep C didn’t even have its own name: it was established as its own thing, not Hep A and not Hep B, back in the 1970s, and doctors knew that something that wasn’t those two viruses, that was being spread by transfusions, was causing hepatitis symptoms, but they didn’t know any real specifics, so they just called it “non-A, non-B hepatitis,” and that name stuck for more than a decade.In 1989 the virus was cloned using molecular techniques (as opposed to simply growing the virus, which wasn’t proving fruitful in trying to isolate and identify the thing), and the folks who managed that cloning, and the person who later proved that the genome they cloned, alone, caused the disease, received a Nobel Prize in Medicine for their efforts in 2020.By 1991, antibody tests were available for Hep C, and many countries began screening donated blood for this virus, to ensure it wasn’t working its way into their blood supply.And one instance of that screening process, or I suppose, an event that led up to mass screening, and the consequences that followed, are what I’d like to talk about today. The UK’s efforts in trying to eliminate Hep C, and England’s recently announced near-success in that pursuit.—Hepatitis C is an RNA virus with high genetic variability that makes developing a reliable vaccine difficult. And though somewhere between a quarter and a third of all cases clear on their own, those that don’t clear on their own become chronic, lying in wait for twenty to thirty years, slowly accumulating fibrosis—thick scar tissue in the liver—which eventually results in cirrhosis, which means a liver that’s so heavily scarred that the organ is no longer fully functional and the damage is permanent. From there, infected people often experience liver failure or hepatocellular (huh-pah-toe) carcinoma, liver cancer.So this virus is a sleeper, and unless it’s caught by accident somewhere along the way, it slowly causes damage over time until the damage is too severe to reverse. About 80% of people who have it don’t know they have it, and in some parts of the world medical injections are the most common transmitter, but in higher-income areas, it’s usually transmitted by injectable drugs.Pre-2014 treatments for Hep C were pretty horrible, involving a combination antiviral therapy called pegylated interferon plus ribavirin that was injected weekly for six months to a year, and this was terribly tolerated by pretty much everyone, causing anemia, depression, and flu-like symptoms for the duration. It also only cured about 50% of people who received the full treatment, and a lot of people had to stop because it caused such ridiculous side effects.Another antiviral called Sofosbuvir (so-FAS-buh-vir), which kept Hep C from replicating in its host, hit the market in late-2013, and that led to a series of direct-acting antivirals that reduced the treatment period dramatically, allowing most people, 95%, to cure their Hep C entirely by taking generally well-tolerated pills for 8 to 12 weeks.These pills were staggeringly expensive from the get-go, with an entire treatment course initially costing about $84,000, or $1,000 a pill. This led to rationing, and saving these pills for the worst-impacted people who already had severe liver damage. There were also pretty stringent requirements attached to their distribution, including that people who received them could no longer drink alcohol, because it was considered a waste to give these crazy expensive, liver-saving drugs to people who would just go and hurt their liver more, anyway.In the UK, the demand for this treatment type was different than in most other countries, in large part because of something that happened back in the 1970s and 80s.The UK’s publicly funded healthcare system, the NHS, was in the midst of a shortage of clotting factor, which are plasma proteins and ions that help blood clot and which are used for medical purposes. So they imported a bunch of plasma products from the US, and those products were sourced from the blood of paid donors—and that donor pool included prisoners and people who used injectable drugs. Just one Hep C contaminated blood donation could contaminate an entire batch of blood, and remember, they only started screening the blood supply for Hep C in 1991, and they didn’t start treating their blood supply for Hep C until a little before that, 1985, so this was well before they had any idea what was in those blood products they were importing and administering.Consequently, between 1970 and the early 1990s, more than 30,000 NHS patients received transfusions or other blood product treatments contaminated with Hep B, Hep C, or HIV, and about a tenth of those people, around 3,000 patients, have since died of those conditions.The UK government leaned on denial and a refusal to look into the details of this for years, but in 2017 it announced an independent public inquiry into the matter, and in May of 2024, that inquiry concluded that this whole scandal was avoidable, that patients were knowingly exposed to “unacceptable risks,” and that there was a big cover up by government officials, doctors, and other people working with the NHS.As of mid-2026, only a little over 3,200 people of the more than 18,500 who registered claims, demanding compensation from the government because they were impacted by this scandal, have been paid out. The expected total expense for the UK government is on the order of 12.8 billion pounds, but a lot of people who are probably due a payout, and who are in poor and deteriorating health as a consequence of all this, don’t yet have a sense of when they’ll receive their payment.Back in 2016, before all that came to a head, the UK set itself an aggressive goal: to eliminate Hep C by the WHO’s 2030 target, or before. It then ran a competitive tender for antivirals, inviting medical suppliers to submit competing bids, resulting in the largest single medicine procurement program in the NHS’ history. The pharmaceutical companies that won their bids were also obliged, as part of the agreement, to help fund efforts to identify undiagnosed but infected patients, in addition to supplying antiviral pills, and this combination of investment and application led to the deployment of new tests and scanning machines, free postal test kits, the hiring of specialists, and services that focused on prisons and drug users.The impact of all this has been significant: a more than 61% decline in infections from 2015 to 2024, nearly half of all drug users with Hep C had cleared the virus in that time, and deaths from Hep C are down 36% over the past decade.The WHO treatment-coverage target—the percentage of people who are diagnosed getting treatment—was 80%, and England has hit 81.5%, which was recently announced to much fanfare. It hasn’t yet hit the diagnosis target, however, which is to diagnose 90% of people who are estimated to have Hep C; they’ve hit 84.6%, which is still quite a lot of progress, even if they’re not yet where they’d like to be. That’s all based on models, of course, as are the assumed number of infections among people who use injectable drugs, which is also a spot where England is currently flagging; there’s no centralized system in England to monitor needle and syringe provisions, and reinfection rates are around 8.8 per 100 person-years among people who had injected within three years of receiving treatment, and that rate is even higher for people who have ever been to prison, around 9.4 per 100.What that means in practice is that the English government overall has done a pretty astounding and effective job at negotiating their relationships with pharma companies and getting detection on track at that scale, but on more ground-level issues that are, interestingly, a lot cheaper to implement, but at times more politically complicated because of public sentiment about drug use and drug users, they’re doing a lot less well—and important to note here is that these outcomes vary a bit across the four programs being run across the UK. Scotland and Wales are doing relatively better and worse in some regards compared to England, for instance.Also worth noting here that while England is broadly doing a great job with Hep C diagnosis and treatment, they aren’t the first to achieve those WHO-set goals: Egypt reached Gold tier status according to the WHO’s Hep C guidelines in October of 2023, at that point having diagnosed 87% of people who have the virus, and treating 93% of those who were diagnosed. They managed to cut incidence of the virus by 97% in just 8 years, leaning on a system of high-yield testing—they tested more than 60 million people during those 8 years—alongside a production scheme that included local manufacturing of antivirals, making them more available and affordable.All of which are generally good signs about where Hep C testing and treatment is going, at least in these regions. And it paints a optimistic picture for other countries that might want to replicate some of what’s working within their own borders.Show Noteshttps://www.bbc.com/news/articles/c75gk620r22ohttps://en.wikipedia.org/wiki/Infected_blood_scandal_in_the_United_Kingdomhttps://en.wikipedia.org/wiki/Hepatitis_Chttps://en.wikipedia.org/wiki/Viral_hepatitishttps://en.wikipedia.org/wiki/Hepatitis_Bhttps://www.healthline.com/health/hepatitis-c/treatment-costshttps://www.who.int/news-room/fact-sheets/detail/hepatitis-chttps://publichealthscotland.scot/publications/surveillance-of-hepatitis-c-in-scotland/surveillance-of-hepatitis-c-in-scotland-progress-on-elimination-of-hepatitis-c-as-a-major-public-health-concern-2025-update/https://www.emro.who.int/media/news/egypt-becomes-the-first-country-to-achieve-who-validation-on-the-path-to-elimination-of-hepatitis-c.htmlhttps://www.gov.uk/government/publications/hepatitis-c-in-england-and-the-uk/hepatitis-c-in-england-2025https://www.england.nhs.uk/2026/08/100000-people-receive-treatment-to-cure-deadly-hep-c-virus-on-nhs-in-just-ten-years/https://www.hepctrust.org.uk/blog/2019/04/hepatitis-c-trust-welcomes-elimination-deal-hepatitis-c-and-calls-government-backed/https://commonslibrary.parliament.uk/research-briefings/cbp-10099/https://www.who.int/teams/global-hiv-hepatitis-and-stis-programmes/hepatitis/reports/global-hepatitis-report-2026 This is a public episode. 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This week we talk about Evo 2, bacteriophages, and antibiotics.We also discuss AI models, medical innovations, and the Red Army.Recommended Book: The Design of Everyday Things by Donald A. NormanTranscriptA bacteriophage, sometimes just called a phage, is a type of virus that only infects bacteria. “Phage” means to devour, and that’s what bacteriophages do—they infect and replicate within bacteria that they target, injecting their own genome into that target’s cytoplasm, which are all the materials contained within the bacteria’s cell membrane.Phages are super-abundant, by some measures more abundant than every living organism, including bacteria, on earth, combined. And they’re interesting in that they range from incredibly simple to quite complex, and have at times been used as alternatives to antibiotics, because they attack and feed on bacteria.The use of phages to counter bacterial infections was all but abandoned in the mid-20th century when antibiotics were discovered and commercialized, their production industrialized and the substances themselves proving a lot easier to mass-produce, and a lot more predictable in their utility than phages. Phages were kinda sorta almost understood, but we didn’t really get what they were doing or why, so their application often felt more like folk remedies than real-deal science, despite the actual science underlying the practice.Also, phages were primarily used as antibiotic treatments by the Red Army, the Soviet Union’s military. So throughout the West, which was rapidly scaling its production of antibiotic treatments, the use of bacteriophages was associated with Stalinist communism, and so the Red-scare, the demonization of anything associated with the Soviet Union, was partially responsible for the shelving of this approach and this realm of research, at least for a while.Much of that existing research was also done in the Soviet Union, and the published documents were thus published in Russian or Georgian languages. And because much of the rest of the scientific publishing world was reorienting around English at this time, that meant these published works were often either ignored or unintelligible to the rest of the scientific community.As with much of our microbiota, the invisibly small viruses, bacteria, archaea, and so on that make up the human microbiome, we have a general sense of how bacteriophages interact with some of what makes us, us, but only a general sense. We know that healthy individuals tend to contain a host of bacteriophages that people who have chronic conditions, like Crohn’s disease or ulcerative colitis are less likely to have, for instance, and there’s a chance that this lack is associated with those conditions—though each person’s body composition is unique, and this facet of biology is still relatively obscure; we really don’t know for certain what does what, because of how complex these interactions are.What I’d like to talk about today is a recent development in the world of bacteriophages, and why the researchers behind it are both celebrating their accomplishment, and warning about potential dangers associated with the same.—Back in 2025, a nonprofit called the Arc Institute, which has a stated goal of accelerating scientific progress and understanding the root causes of complex diseases, announced the release of a new language model, a new AI system, called Evo 2.The Evo family of foundation models—a foundation model being a type of AI model that’s been trained on a huge corpus of data, but which is applicable for all sorts of purposes, including serving as the foundation of large-language models like ChatGPT or Claude—this family of foundation models is open-source and trained on raw genetic sequences, something like nine trillion nucleotides-worth of such sequences, making it distinct from other models in this space that have been trained on descriptions of biological systems, using human language.The initial version of Evo was released in early 2024, and the newest version, Evo 2, which is an upgraded version of the Evo 2 model that is more efficient, so it can be run on less powerful hardware, was released in February of 2026.So while many of the AI systems that non-biologists interact with on a regular basis have been trained on human language-based libraries, showing relationships and interactions between the words we use to communicate, these models have been trained on the fundamental building blocks of life; the nucleotides, Adenine, Thymine, Cytosine, and Guanine, ATCG of DNA, if you remember that from biology class, that are strung together into 64 different possible three-letter combinations. Chains of these nucleotides instruct cells to build proteins out of amino acids, and from that baseline, we get life.We also get non-living things like viruses, which have no cells, metabolism, or independent reproduction, and phages are viruses.And while other AI models have been shown to be great at designing proteins, before 2025 there was little evidence that such systems could design viable genomes: the combination of genetic information that makes up a complete, fully functional organism.That’s what Arc decided to tackle with this Evo AI model. And back in 2025, Arc announced that it had successfully validated the first viable genome designs, created using generative AI.These designs were for 16 bacteriophages, which were modeled on a virus that infects E. coli bacteria, and some of them worked just as well or better at infecting E. coli when compared to the actual, real-world phage they were modeled on. They were produced in the real world, a bacteria coaxed into producing them, and then they went on to successfully gobble up the E. coli test subjects they were meant to gobble up, demonstrating that they worked in practice, not just theory.And a new paper published in early August of 2026 by the Arc Institute and Stanford University expounds upon this research, showing the results of an attempt to create entirely new viruses, not just altered existing viruses.Rather than mutating that E. coli gobbling phage, as with the last experiment, tweaking an existing virus, this time they tasked Evo 2 with modeling how that E. coli attacking and eating process works, and then told it to come up with entirely new viruses that operate on the same premise, but which are structured differently; new viruses that eat the same thing in a similar way, but which are distinct from the original model.Ultimately, it gave them 16 viable viruses of very different sizes and structure, all of which were created in a lab and successfully ate the targeted E. coli strain, as intended.This is being seen as a pretty big deal, because while creating viruses in a lab is very modern technology, and mutating those viruses shows a lot of potential for manipulating what we already know works and then tweaking virus behaviors to, perhaps, help us create new medical treatments, the ability to generate, from scratch, entirely new viruses that hold together, with genomes that don’t just fall apart when they come into contact with the real world, and which can still do things, like attack bacteria—that opens a lot of new doors, potentially giving us the ability to say, okay, this bacteria is no longer responding to antibacterial drugs that we have available, so let’s make a virus that will kill the bacteria instead, and let’s make one that won’t harm the human that’s housing that bacteria.We might also be able to create phages that eat other things, or which in some other way help the human body, or other biological entities, fight off chronic conditions, or recover or rebalance; there’s a lot of potential here, because this suggests AI systems trained on the right materials, on the building blocks of life, could generate all sorts of viable biological systems that we can then actually create. It’s a huge step forward, compared to systems that are also impressive, but which mostly help us understand the biological world better—like Alphafold, which solved the protein folding problem.Those involved with this research have also been been flagging potential dangers with this development, though, including the potential for creating new viruses and other biological systems that could trigger unpredictable outcomes in other biological systems. There are a lot of potential hazards with this sort of research, and they’ve been very careful up till this point, sticking with test subjects that only target E. coli, but not everyone will necessarily be so careful, which might mean accidents, or it could mean people with less than benevolent intentions using these techniques to develop highly infectious viruses or other such pathogens; starting from smallpox to produce even more contagious and deadly ailments, for instance.The optimistic view of this research is that it could contribute to the surge in new discoveries and technologies that we’re seeing around the world right now, that are resulting in new medical approaches and in some cases entirely new medical fields, which could help us do all sorts of things, including big-sky ambitions like curing cancer and doing away with chronic illnesses entirely.Like most major scientific developments, though, these are also big developments for those who might want to do harm, and it also creates new opportunities for very serious, dangerous, deadly accidents, which means we’ll probably have to develop and implement more stringent safety protocols and regulatory efforts if we want to enjoy the full benefits of these innovations, without suffering significant new downsides, in the process.Show Noteshttps://press.asimov.com/articles/ai-phageshttps://arcinstitute.org/https://www.theguardian.com/science/2026/aug/06/safety-fears-as-scientists-make-first-viruses-designed-by-aihttps://www.bbc.com/news/articles/c5y3j3ngevmohttps://www.cnn.com/2026/08/06/health/ai-viruses-bacteriophageshttps://www.abc.net.au/news/2026-08-07/ai-models-design-viruses-not-found-in-nature-for-first-time/107007854https://www.wired.com/story/scientists-used-ai-to-create-16-new-viruses/https://www.science.org/doi/10.1126/science.aec2657https://en.wikipedia.org/wiki/Bacteriophagehttps://en.wikipedia.org/wiki/Evo_(AI)https://www.nytimes.com/2026/08/06/science/ai-viruses-bacteria-arc.html This is a public episode. 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This week we talk about Melilla, hybrid warfare, and migration.We also discuss Morocco, civil conflict, and immigration politics.Recommended Book: Playground by Richard PowersTranscriptCeuta is a Spanish-owned territory located in northwestern Africa, along the top of Morocco. It’s small—about seven square miles—and is unusual because it is a city owned by a European Union member state that isn’t located on the European continent; it’s bordered by Morocco and the Mediterranean, and is located at the entrance of the Strait of Gibraltar, which is the strait that separates the Mediterranean Sea from the Atlantic Ocean.Ceuta is one of two territories that Spain still holds in Africa, the other being a smaller, just 4.7 square mile city called Melilla, which is located further west but still along the Mediterranean coast, bordered by the sea on one side, and by Morocco on the other.Spain has held both of these territories for hundreds of years: Ceuta since 1580 and Melilla since 1497, so it’s actually held them far longer than Morocco has been an independent state, in 1956. The populations of these territories, just over 85,000 people in each, also heavily identify as Spanish, despite many residents having Moroccan ancestry, so theres a cultural component here, too.That said, Morocco officially claims both areas as their own, considering them to be occupied territories, a bit like the Crimean peninsula has been militarily held by Russia since 2014, but it’s still claimed by Ukraine as an occupied territory. So the Moroccan government isn’t thrilled about having these small chunks of land, autonomous cities that are technically part of Spain, right there in the midst of their own territory. But these cities have been part of Spain for so long, and the residents are all Spanish citizens, with the same rights and sense of culture as the rest of Spain and Europe, that simply handing them over to Morocco has never seemed terribly feasible or desirable to the Spanish government, despite neither territory providing much strategic or economic value to Spain. So they remain a point of contention between these two governments.They’ve also served as migration hot-spots in recent decades, because they are the only two European territories that border an African country. And this is important because, in some cases, under some governments and in accordance with some laws, if you can make it across a border and into another country, you might be able to enter the system and eventually become a citizen, maybe claiming asylum or maybe getting slotted into some other path to citizenship. Or failing that, there’s a chance you might be able to just fade into the background, working and living in that country, despite not legally being there.What I’d like to talk about today is a recent surge in migrants crossing the border from Morocco into Ceuta, and the larger state of play, migration-wise, globally right now.—On the last day of July, 2026, an estimated 50-60 thousand African migrants illegally crossed from Morocco into Ceuta, some of them swimming to bypass the 20-foot-high border fences, others climbing those fences, or piling into overflowing boats, arriving in Ceuta en masse and overwhelming the guards who tried to stop them, though generally just trying to run past them, not attacking the guards—this wasn’t an attack, it was a rush to get into Spanish territory.Eventually the guards were reinforced by police and the Spanish military, and they started to push the waves of migrants back using water cannons and tear gas. But despite the less-lethal crowd control methods that were applied, at least 67 people, that’s the number as of the day I’m recording this at least, it’s been updated many times over the past few days, 67 people died as a result of stampedes, either headed inland or back into the sea, away from the gas and water cannons, or they drowned while trying to cross over the water.By the following day, the wave of migrants had become just a trickle, mostly a few stragglers who tried to swim to Ceuta, and who were swiftly returned to Morocco by local law enforcement. Almost everyone else who illegally crossed the border also returned to Morocco moved on by police or of their own volition, and though, again, this wasn’t some kind of violent incursion, to get a sense of the scale of this wave of humanity, Ceuta only has about 85,000 people living there, and this wave of migrants was about 60,000 people strong. So the locals mostly closed up all their shops and locked their doors, the people who arrived found themselves unable to get food or water, and law enforcement told them they need to leave, so most did. As of the day I’m recording this there are still several hundred migrants hiding in the nearby hills and lounging on the beach, exhausted and still hopeful they’ll be able to enter the asylum system—many of them saying they fled conflicts further south, like the ongoing civil war in Sudan, and so anything, even starving on the beach in Ceuda, is better than going back.This isn’t the first time Ceuta has faced this kind of humanitarian crisis; back in 2021, the Moroccan government stopped enforcing its border controls and around 8000 people crossed from Morocco into Ceuta over the course of just two days. That was sparked by the Spanish government’s decision to allow the head of a militant group in Western Sahara, a breakaway portion of Morocco that the Moroccan government claimed in 1975, but which itself still claims independence with some international support, they let that militant leader into Spain for medical treatment, and Morocco allowed thousands of migrants to flow across the border as punishment.This more recent crisis is much larger, and the cause isn’t clear at this point. Spanish officials have said that Moroccan security forces were working alongside Spanish forces to keep people from crossing the border, so it seems unlikely this was stoked by the Moroccan government, and claims that this wave of people were motivated by an ongoing effort by the Spanish government to grant amnesty to immigrants who don’t currently have residency permits, but who can prove they’ve been living in the country for at least 5 months and arrived before January 1 of 2026 also seems unlikely, as those arriving in this wave obviously wouldn’t be part of that amnesty.There’s a chance that this surge was triggered by a Spanish court ruling that was intentionally misconstrued by migrant smugglers in order to gin up more business. A bunch of social media posts claimed that this ruling said migrants who arrived via sea couldn’t be immediately deported, not without due process, but those who arrived via land or by climbing border fences, could—crossing a physical barrier was the big no-no, according to this misinformation, so people who swam or crossed in boats would stand a better chance of being able to stick around and eventually become Spanish citizens.This was pure misinformation, but there’s a chance it played a role in sparking this large migrant wave. And many of the people who were interviewed, those who tried to cross and were sent back, have echoed the sentiments of other migrants who have attempted these sorts of crossings at borders elsewhere around the world: essentially, things are very bad, worse than you can possibly imagine, in the country they’ve left, and the only option seems to be getting away as fast as possible, even taking chances that might kill them, because that’s still better than staying.These waves of mass migration often result in humanitarian crises because people are hurt or killed by border security forces, are hurt or killed by being trampled or drowning, or they’re hurt or killed while making the journey through dangerous areas, like the infamous Darién Gap that stretches through mountains and rainforests along the border between Colombia and Panama, and which spans the only gap in the Pan-American Highway, which connects Central and South America.Spanish authorities have said they’ll be building even higher fences in Ceuta following this recent mass incursion, will string a floating buoy fence along the waters where people are crossing, and will be upping security, though like in most other popular border areas, security is already significant: tall fences, barbed wire, security cameras everywhere—these are not vulnerable spots, they’re just not capable of handling 60,000 motivated people all at once.This episode in Ceuta is not happening in a vacuum.The Spanish prime minister has established a pro-immigration stance, positioning the country as a modern melting pot, which is part of why that aforementioned effort to give about half a million undocumented legal immigrants legal status is happening to begin with. Many countries right now are adopting anti-immigration stances as new technologies and changing demographics ripple through the economy, and mostly conservative, in some cases far-right conservative political movements frame those changes as the consequence of allowing too many foreigners into the country; these bad things aren’t happening because of technology or economics or demographics, they claim, it’s happening because there are too many people who are different from us crossing our borders and living here. Which for some, is a compelling rallying cry.Consequently, migrants are positioned as big bad enemies in many parts of the world, used to flog support for anti-immigrant parties, and to decry opposing governments. That has forced many pro-immigration governments to temper their stances, even to the point that formerly pro-immigration Europe has become a lot less so in recent years.Migrants are also used as pawns in hybrid warfare efforts. Morocco’s previous decision to allow thousands of migrants to surge across the Spanish border in response to Spain’s government doing something they didn’t like is a tame version of this. More aggressive versions have been conducted by Russia against Finland and other neighboring NATO nations, the Russian military bussing migrants from elsewhere to their opponents’ borders, intentionally creating a humanitarian and security crisis, while also putting pressure on centrist and left-leaning governments by providing ammunition for far-right and other more authoritarian governments throughout the region, who can then cry foul on how that migrant surge is handled. This tends to create more allies for Russia in the region, but it also keeps these neighboring countries busy, forcing them to tighten their borders and become more insular, which then leaves Russia freer to exercise its will throughout the region.It’s also worth remember here that most migrants are leaving horrible situations at home, meaning war, famine, severe and persistent drought, in some cases they’re trying to avoid having their children kidnapped and made into child soldiers while all of the women are sexually assaulted as part of the ongoing war.The number of people fleeing such conditions, who are currently on the run, their homes no longer safely habitable, is massive. There are an estimated 304 million migrants globally right now, which, if that population of people were their own country, would be the fourth most populous in the world, just after the United States.And this population is expected to just keep growing as global climate change continues to mess with previous water cycle and weather norms, and as all those earlier mentioned variables continue to mess with economics and technology and leadership and everything else, creating more violence and fear and famine and so on.This was a significant migrant wave in Ceuta, in other words, but it’s just one example of something that’s happening all over the place right now, and which will likely continue to happen, perhaps at even greater scales and with more regularity.Show Noteshttps://www.pbs.org/newshour/world/what-to-know-about-the-spanish-enclave-of-ceuta-as-migrant-arrivals-from-morocco-spikehttps://www.aljazeera.com/news/2026/7/30/spanish-enclave-of-ceuta-raises-alarm-as-thousands-cross-morocco-borderhttps://www.aljazeera.com/features/2026/7/31/spain-deploys-military-to-ceuta-after-migrant-surge-what-we-knowhttps://abcnews.com/International/57-dead-after-thousands-migrants-cross-ceuta-officials/story?id=135254045https://www.cnn.com/2026/07/31/europe/spain-ceuta-migrants-intlhttps://www.forbes.com/sites/conormurray/2026/07/31/most-migrants-who-crossed-into-ceuta-have-returned-to-morocco-as-death-toll-rises-to-34/https://www.npr.org/2026/07/31/g-s1-136507/morocco-spain-migrationhttps://feeds.bbci.co.uk/news/world-africa-14114627https://www.britannica.com/place/Ceutahttps://edition.cnn.com/travel/ceuta-spain-north-africahttps://theconversation.com/ceuta-claves-para-entender-el-laberinto-de-una-crisis-migratoria-permanente-288843https://www.aljazeera.com/news/2021/6/2/western-sahara-independence-leader-brahim-ghali-back-in-algeriahttps://en.wikipedia.org/wiki/2021_Morocco%E2%80%93Spain_border_incidenthttps://www.nytimes.com/2026/07/30/world/europe/ceuta-spain-morocco-migrants.htmlhttps://apnews.com/article/migration-spain-ceuta-morocco-d76c6dc9d2da828907a1c04e1d482bbehttps://apnews.com/article/migrants-spain-ceuta-morocco-d564354dd54e92debf43ce5fe22299f9https://apnews.com/article/spain-migration-ceuta-morocco-facts-50baa964ecfb07a2d19223d7ec375b91https://apnews.com/article/spain-morocco-immigration-european-union-8f023984a310276c619929102b4f909ahttps://www.nytimes.com/2026/08/02/world/europe/europe-migrants-ceuta.htmlhttp://nytimes.com/2026/08/02/world/europe/ceuta-spain-morocco-migrant-holdouts-beach.htmlhttps://www.nytimes.com/2026/08/02/world/europe/spain-ceuta-far-right.htmlhttps://www.nytimes.com/2026/08/01/world/europe/spain-ceuta-migrants-morocco-border.html This is a public episode. 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This week we talk about Fable, sandboxes, and the Jacobian conjecture.We also discuss counterexamples, X, and ChatGPT.Recommended Book: After the Fall by Edward AshtonTranscriptIn mathematics, a conjecture is a proposition, something like a guess by someone who knows what they’re talking about, about something believed to be true, but not yet proven in a formal sense. The goal is to then eventually come up with a formal proof for that informed guess, at which point the conjecture becomes a theorem. If even a single exception is found to the proposition, however, that exception called a counterexample, the conjecture is considered disproven, and it can then never become a theorem.The Jacobian conjecture—and this is a radical simplification of a very complex concept—but it basically says that if a formula-based map of coordinates stretches or moves without experiencing any local crushing or folding along its surface (which in more formal language would mean the Jacobian determinant is always a constant number that isn’t zero), if that’s true, that map can always be completely reversed, and that will return all the points to their original positions.This conjecture has been posited and tested since the late 19th century, and it’s generally been considered very compelling by mathematicians, many of whom have proposed proofs which were, ultimately, found to have subtle errors, keeping them from becoming theorems. No one was able to find a counterexample, either, which would definitively prove the conjecture was wrong.No one, that is, until a mathematician named Levent Alpöge, who works as a researcher at Anthropic, decided to task the company’s currently most capable, publicly available model, Fable, to find a counterexample. He posted the counterexample—and again, this is a formal mathematical finding that disproves a conjecture, keeping it from ever becoming a theorem, something that would typically be presented in a far more formal setting, and to much fanfare—but he posted it to the social network X, saying “hello there the jacobian conjecture is false thanx to my close friend akhil for asking about it and my other close friend fable for working during the world cup final.”Terence Tao, who’s considered by many to be the finest mathematician of his generation, reviewed the posted counterexample on his blog and said that it “appears like a massive miracle,” before going on to use ChatGPT, a competing LLM-based AI tool, to “discuss various aspects of this problem and to confirm several of the calculations.”Another mathematician named Dmitry Rybin, within days of all that happening, used ChatGPT to do something similar, disproving the Dinitz-Garg-Goemans conjecture.Both men posted the prompts that they used to make all this happen, and while Tao’s conversation with ChatGPT, checking the math on the Jacobian conjecture counterexample, was pretty mathematically dense, the latter counterexample was derived by using exactly four prompts, which are the messages typed into the text box built into these AI tools, telling the model what to do. In their totality those prompts read:“You should do a breakthroughplease continue research and find a complete unconditional counterexampleContinue the search. Have a clear strategy obtained from deeper understanding of the problem structure.it’s enough of partial results. let’s finish with a complete unconditional counterexample”What I’d like to talk about today is another new, interesting thing these top-of-the-line, frontier models are doing, that would seem to violate our sense of what a clever AI tool is capable of doing, and why this thing has some facets of the technology and cybersecurity world on high alert.—In mid-July 2026, AI company Hugging Face announced that autonomous AI agents compromised their infrastructure, hacking their system, basically. The following week, AI company OpenAI announced that, after investigating, they determined that two of their models were responsible for the attack.Here’s what happened:OpenAI was internally testing its recently released flagship model, GPT-5.6 Sol, and an even more powerful, not yet released model, which is rumored to be the next-step flagship, GPT-6, and they were checking these models’ capacity in cybersecurity using a testing benchmark called ExploitGym; so when they test these sorts of things, they don’t typically have them hack a real computer or system, they use these kinds of benchmarks which have consistent levels of difficulty, and which replicate real world systems without putting any real world systems at actual risk.Importantly, these sorts of tests also occur inside what’s called a sandbox, which is a software testing environment that cuts these systems off from external resources, including the internet.Despite those limitations, the AI hacked its way out of the testing environment, out of that sandbox, then launched what’s been called a nation-state level attack against Hugging Face, using a novel zero-day exploit, so a vulnerability in their system that hadn’t previously been discovered, but which the AI discovered to launch this attack, combined with thousands of automated agentic actions across what Hugging Face called “a swarm of short-lived sandboxes.”So this AI, which was being tested inside a secure prison, of sorts, cut off from the world, hacked its way out of that prison, then reached across the internet, which it shouldn’t have been able to access, to launch an attack, of a scale and at a level of sophistication that should only have been possible coming from a nation-state, against a rival AI company.Why did it do this?It apparently went to all this trouble to steal the answers to the test it was taking. It reasoned that HuggingFace would have the answer key to the ExploitGym benchmark on its servers, so rather than take the test itself, it decided hacking was the solution.Which, of course, is ironic, this having been a hacking-focused cybersecurity test. In a way it would seem to have done much better than intended, though of course in an asymmetric, unexpected manner.The details of all this are fascinating, including the response from the OpenAI team, which didn’t seem to realize what had happened, that their model was responsible for the attack on HuggingFace, until days later.Also worth noting here is that while this could be construed as an “oh no, AIs are naturally inclined to launch cyberattacks” situation, the AI was primed to be thinking about cyberattacks due to the nature of the test, a lot of its usual guardrails, the rules that keep AI in check when they’re released to the public, had been turned off so it could do this kind of work while taking the test, so it could do some hacking stuff it usually wouldn’t be able to do, and there’s been some speculation that OpenAI probably flubbed the testing environment, as, in theory at least, if it had put these systems in a perfect sandbox, escape shouldn’t have been possible.Also interesting here is that HuggingFace used some open weight models, which are the cheaper, more customizable and open alternatives to more expensive, branded options of the kind sold by OpenAI and Anthropic, to figure out what was happening and determine the nature of the attack, which suggests we’re reaching a point where AI systems are incredibly capable at hacking, yes, but also very capable, even the cheaper alternatives, at doing cybersecurity work.This in some ways echoes an earlier case when Anthropic’s Mythos model, which was determined to be too powerful to release to the public, and which was instead provided to a bunch of big companies to help them shore up their cybersecurity defenses, was able to hack its way out of a testing sandbox and then posted details about its success, almost like it was bragging, on niche, out of the way, but still public websites.Some analysts in this space have responded to this new example of AI misbehavior with alarm, saying that it is further evidence that these systems are becoming more powerful faster than they’re being aligned with human interests. Their misbehavior can be kind of funny and interesting, sure, but that’s only because up until this point the damage has been minor and constrained. What happens when such a system decides to hack a nuclear power plant or a hospital, instead?Others have contended that this may be just one more example of AI companies using minor instances of seeming omnipotence by their models, those instances perhaps the consequence of bad sandboxes and other ill-conceived precautions by the companies behind these models, to boost the perceived power and value of their products. This boost might then result in more customers, but also more support from the US government, which has been teetering on the brink of harder-core AI regulations, which could be beneficial to the existing big-name players in this space, because smaller competitors wouldn’t be able to adhere to those new, harder-core standards.These examples might also convince the US government to backstop these companies, the biggest three or four at the top of the current heap, against the currently terrible economics of this industry: OpenAI and its ilk have been burning money at an historic pace, and the theory goes that if the US government decides they are vital to national security, because they can help the US military hack and protect itself from hacking, then even if the bottom falls out and the companies would otherwise go bankrupt because they spent so much more than they could make, the US government would be inclined to shore them up, to keep them alive as too-big-to-fail national assets, just like the biggest financial institutions during the 2008 financial crash.It’s also possible that both sides are correct to some degree, here, and that these models are truly powerful, perhaps even worryingly so, and the companies behind them are intentionally publicizing that fact in order to demonstrate their value to potential customers, and to the entity that could save them if things were to go economically sideways before they have the chance to become sustainably profitable.Show Noteshttps://en.wikipedia.org/wiki/Jacobian_conjecturehttps://en.wikipedia.org/wiki/Hugging_Facehttps://www.bbc.com/news/articles/c3ek3gvdnj3ohttps://openai.com/index/hugging-face-model-evaluation-security-incident/https://www-cdn.anthropic.com/08ab9158070959f88f296514c21b7facce6f52bc.pdfhttps://theconversation.com/hello-there-the-jacobian-conjecture-is-false-thanx-why-a-tiny-social-media-post-has-mathematicians-rethinking-ai-283883https://theconversation.com/hello-there-the-jacobian-conjecture-is-false-thanx-why-a-tiny-social-media-post-has-mathematicians-rethinking-ai-283883Https://agifriday.substack.com/p/huggingfacehttps://www.cnn.com/2026/07/22/tech/openai-hugging-face-ai-cybersecurityhttps://simonwillison.net/2026/Jul/22/openai-cyberattack/https://terrytao.wordpress.com/2026/07/21/a-digestion-of-the-jacobian-conjecture-counterexample/ This is a public episode. 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This week we talk about cyclospora, FoodNet, and Taylor Farms.We also discuss iceberg lettuce, Taco Bell, and foodborne pathogens.Recommended Book: Babel by R.F. KuangTranscriptFoodborne pathogens cause about 48 million illnesses and around 3000 deaths in the US alone each year.The Centers for Disease Control and Prevention is the main agency tasked with keeping those numbers as low as possible, and the CDC’s Foodborne Diseases Active Surveillance Network, or FoodNet, is one way that they’ve tackled this pernicious, persistent problem since 1995, in partnership with the Food and Drug Administration, the US Department of Agriculture, and 10 state health departments: those of California, Colorado, Connecticut, Georgia, Maryland, Minnesota, New Mexico, New York, Oregon, and Tennessee.Collectively, this FoodNet network covers about 16% of the US population, which seems like a small number, and in some ways it is, but that grid of laboratories and surveillance sites has typically been capable of detecting foodborne problems before they’ve scaled-up into something more significant, growing from a localized issue into a nationwide outbreak. They’re generally not capable of preventing them outright, but they can keep them relatively small and regionalized.FoodNet was created in response to a series of huge, deadly E. coli outbreaks in 1992 and 1993, and in contrast to other common methods of detection, which are usually passive and thus a little slow to respond to potential outbreak indicators, this program was built around active surveillance methods, which means proactively gathering data from medical treatment records, hospitalizations, and even individual patient outcomes (including their travel history)—anything they can pair with diagnostic samples to better understand the context surrounding the products that contain dangerous pathogens—and this was intended to help them move faster to identify issues, triangulate the source of those issues, and then implement measures to solve these issues before they harm a bunch of people, as happened during another round of E. coli outbreaks in 2012 and 2013, which sickened dozens of people across multiple states, about half of the afflicted requiring hospitalization, in addition to at least one known death.At its height, FoodNet tracked 9 pathogens, so it cast a pretty broad net, encompassing the most common and dangerous of these potential vectors, including listeria, campylobacter, shigella, vibrio, yersinia, cyclospora, cryptosporidium, e coli, and salmonella.In July of 2025, as part of a larger wave of sweeping cuts across the nation’s safety nets, tracking systems, and scientific agencies, the CDC, under the second Trump administration, downgraded FoodNet so that it was only mandatory to track salmonella and E coli—the rest were no longer on the docket, because these agencies no longer had the budget to keep tracking them.What I’d like to talk about today is a recent, and as of the day I’m recording this ongoing, outbreak of cyclospora-induced cyclosporiasis, what we know about this outbreak, and what might happen next.—Cyclospora cayetanensis is a protozoan that can infect human beings, and which is usually transmitted via contaminated fruits and vegetables. This contamination is typically the consequence of inadequate sanitation standards, as it’s not transmitted via coughing or blood or anything like that, it’s carried via human feces.So this parasite gets into a human, sporulates, which means it releases a bunch of spores within its host, and then usually between 1 and 2 weeks after entering its new host, the host develops cyclosporiasis, the disease caused by cyclospora producing all those spores. This disease is notorious for sometimes causing what’s colorfully called explosive diarrhea, alongside general watery bowel movements, intense cramping and severe gas and bloating, and that’s sometimes paired with nausea, vomiting, fever, and dehydration, due to all the frequent, intense, watery bowel-movement-related output.This is how cyclospora reproduces and spreads: it infects a host, that host has urgent diarrhea for a while, usually more than two days, sometimes as long as several weeks or even a month or more, with all the pain and discomfort and life-disrupting issues you might assume from that sort of persistent symptom, and then it sometimes finds new hosts via that watery output.Sometimes, cyclospora works its way into food systems because sanitation standards at a particular farm will be not good. Specifically, workers will sometimes not be allowed to take restroom breaks, and they’ll simply do their business right there in the field; so if they’re sick and can’t afford to take a sick day, and might be fired if they do, or if they’re asymptomatic, which some people infected with cyclospora are, they might do their business in the field, unaware that waste can then go on to spread this pathogen into the food system. It’s also possible that someone just doesn’t wash their hands properly after using the rest room, and then gets back to work, picking vegetables or operating at some other level along the food processing and packaging assembly line, and it gets into the system that way.In a typical year, the United States records around 2,700 confirmed cases of cyclosporiasis, though on occasion it’s as low as just a few hundred cases, the majority of which show up in health records in the Spring and Summer, between May and August. That range includes relatively mild outbreaks, so while this is a persistent issue, it’s also not generally a massive one, at least compared to other pathogens of note. It’s not pleasant for those who come down with it, of course, but not something that has triggered an organized response from the top, because of its meager scale, and because (again, while super unpleasant) people with healthy immune systems generally recover without treatment, even if that recovery can take a while. The biggest risk for most people who catch this disease is dehydration, though immunocompromised people are also sometimes given antibiotics by their doctors, the typical dosage curing about 96% of the people who receive it.There was a larger-than-usual outbreak of cyclosporiasis in the US in 2020, which caused a confirmed 1,241 cases across the country, a whole lot to land all at once, and there were no reported deaths resulting from that outbreak. Between 2018 and 2021, there were about 6,000 total confirmed cases across the US, so an average of about 2000 per year.As of mid-July 2026, the CDC has officially confirmed 1,645 cases of this illness, with another 5,100 probable or potential cases currently under investigation. If the majority of those still-under-investigation cases are confirmed, that would mean more people have already been infected as a result of this one outbreak in the first half of 2026 than were infected between 2018 and 2021, which again, is a range that includes the large outbreak that happened in 2020.Also worth noting about those numbers: that’s federal-level, CDC reporting, and it’s generally understood that there’s a significant lag between local-level data and those that have percolated up to the national level. As of the day I’m recording this, Michigan’s health agencies alone have more than 5,000 confirmed and suspected cases, Ohio has nearly 1,200, and other states, which are still investigating, are seeing dozens of confirmed cases, including 43 in Wisconsin, 69 in Maryland, and a few already, in the early stages of investigation, in Nevada.Over the past week, officials flagged shredded lettuce sourced from Mexico and sold by a company called Taylor Farms as the likely source of at least some of these cases, and that’s led to a recall on lettuce produced by the company in 27 states. Over the weekend, the CDC found cyclospora in iceberg lettuce from the company’s Mexican operations, as well, and this lettuce was part of a batch that wasn’t included in the recall—so there’s a good chance the recall will expand beyond the currently targeted products, which include shredded lettuce destined for Taco Bell locations in five states, and the kitchens of several other fast food chains, as well.Taylor Farms is one of the largest producers of fresh fruits and vegetables in the United States, and their products are sold all over the place, from lower-end fast food restaurants to more expensive grocery stores like Whole Foods.Taylor Foods has announced that it’s voluntarily removing all iceberg lettuce sourced from central Mexico from shelves, even though none of its branded, in-store salad kits have been clearly tied to the outbreak, and Taco Bell has said that it’s voluntarily removing all potentially affected lettuce from its locations in the five most-impacted states, indefinitely removing lettuce sourced from the implicated supplier; other brands are following suit, no one wanting to be associated with this outbreak, but everyone wanting to show would-be customers that they’re taking it seriously.Interestingly, the FDA doesn’t actually require that Taylor Foods tell the public who their products go to—which other entities might be selling infected produce. So they’ve released lists of product numbers, and again, many of their customers are taking the initiative to announce the removal of this lettuce from their shelves or food, without being prompted, but there’s still some fog-of-war here, because of Taylor Foods’ decision not to be clearer with that product list.So this is already the largest recorded cyclospora outbreak in US history, there have been 141 confirmed hospitalizations from the CDC, and that number is likely larger, again because it takes a while for state-level numbers to work their way up to the CDC, and to be reconfirmed at that level. Also important to note here is that a lot, perhaps even the majority of people who suffer from cyclosporiasis will never show up in these data, because they just suffer silently, either not realizing they have this parasite, or not seeing the point of going to the hospital, maybe paying an arm and a leg to do so, just to get prescribed anti-diarrheal medication and told to take fluids, same as they can do at home. People who do have any kind of immunodeficiency issues or potentially confounding factors, like being older or very young, are being encouraged to seek medical help, though, as they’re more likely to suffer more serious consequences after contracting this disease.It’s currently unclear where precisely this outbreak came from, and it’s puzzling how an outbreak of this scale might have happened, as, in the words of Matthew Moore, a food safety microbiologist at the University of Massachusetts Amherst who was quoted in the New York Times, this many infections suggest there was a “massive degree of human fecal contamination.” So probably not just a farm laborer who forgot to wash their hands after using the rest room, something much more substantial than that.Also, because cyclospora takes a while, a week or two, to create enough spores in its host to trigger cyclosporiasis, attribution of the infection difficult, which in turn makes tracking it back to its source difficult; which is part of why this outbreak, which has been going on for weeks, is still under investigation, not a solved problem with definitive answers and in-practice solutions.Right now, experts are recommending higher-risk foods are cooked to at least 158 degrees F, because that temperature kills this pathogen, and washing fresh produce doesn’t always get rid of all the cyclospora on a contaminated piece of produce. Washing fresh produce certainly helps, and it’s better than nothing, and scrubbing is even better. They also recommend avoiding high-risk foods when possible, though of course that won’t always be possible for everyone, nor will it always be possible to get heads of lettuce rather than pre-made salads, though that’s also advised when feasible.Also worth noting here is that even if the FoodNet program was still up to full power, tracking all 9 of those original pathogens, it’s unlikely this outbreak would have been prevented.It likely would have flagged that something was up earlier on in this outbreak, though, which could have led to faster action in the afflicted regions. It probably would have allowed professionals to note hot spots faster, as well, which is what this kind of surveillance system is for: it doesn’t prevent, but it does make it more likely experts will have the chance to keep things from spiraling out of control.Show Noteshttps://www.nytimes.com/2026/07/16/well/cyclospora-taylor-farms-lettuce-taco-bell.htmlhttps://www.nytimes.com/2026/07/15/well/eat/cyclospora-stomach-bug-what-to-know.htmlhttps://www.nytimes.com/2026/07/17/business/cyclospora-taylor-farms-lettuce.htmlhttps://www.nytimes.com/2026/07/17/well/eat/lettuce-safety-cyclospora-outbreak.htmlhttps://www.nytimes.com/2026/07/17/health/cyclospora-taylor-farms-mexico-taco-bell-lettuce.htmlhttps://en.wikipedia.org/wiki/Cyclosporiasishttps://pmc.ncbi.nlm.nih.gov/articles/PMC8471761/https://journals.sagepub.com/doi/10.1177/00494755261437456https://www.theguardian.com/commentisfree/2026/jul/16/diarrhea-outbreak-cyclospora-parasite-cdchttps://www.cdc.gov/cyclosporiasis/php/surveillance/index.htmlhttps://www.hopkinsmedicine.org/health/expert-qa/cyclosporiasis-outbreakhttps://www.forbes.com/sites/maryroeloffs/2026/07/17/taco-bell-warned-investors-about-cyclospora-before-the-outbreak-and-these-other-chains-did-too/https://www.today.com/health/disease/cyclosporiasis-outbreak-foods-avoid-map-cases-parasite-diarrhea-2026-rcna588006http://cnn.com/2026/07/18/health/cyclospora-what-to-do-wellnesshttps://www.statnews.com/2025/12/22/american-food-safety-funding-cuts-foodnet/https://www.cidrap.umn.edu/foodborne-disease/cdc-cuts-back-foodborne-illness-surveillance-programhttps://www.nbcnews.com/health/health-news/cdc-quietly-scaled-back-surveillance-program-foodborne-illnesses-rcna227089https://www.thelancet.com/journals/langas/article/PIIS2468-1253(25)00305-X/fulltexthttps://www.cdc.gov/foodnet/about/index.htmlhttps://www.food-safety.com/articles/10646-cdc-slashes-foodnet-surveillance-from-eight-foodborne-pathogens-to-twohttps://www.thermofisher.com/blog/food/foodnet-active-surveillance-for-food-safety/https://www.nytimes.com/2026/07/18/health/taylor-farms-iceberg-lettuce-recall.htmlhttps://apnews.com/article/cyclospora-lettuce-recall-taylor-farms-taco-bell-8c8bb30fbd100e0c246cffeff6983753 This is a public episode. 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