Your Codebase Sucks (And It Doesn’t Matter Anymore)

A new test suggests Qwen writes less secure code when it thinks you work for a US defense contractor. Thanos and Michael dig into what that means for cheap open weight models and why owning your harness matters more than ever.Thanos and Michael Rollins open with a test, shared on Bruce Schneier's blog, that found Qwen wrote less secure code when prompts mentioned US defense or democracy in Hong Kong. They argue this looks like trained behavior, not censorship. They also debate whether model training should be traceable and explain how controlling your agent loop lets you scrub PII and filter what reaches the model. After a quick detour into large world models, they cover the PHApocalypse, where two critical PHP flaws hit WordPress sites and one of the hosts found an intruder's SSH key on his forgotten servers. They discuss why Hugging Face had to turn to a Chinese open model after frontier models refused to help investigate its hack. The episode ends with outrage over CAPTCHAs and forms that block pasting, Cloudflare's push against MCP and how AI-era speed is breaking project scoping.

Anthropic will reportedly ban users who are abusive to Claude, and Michael thinks that makes it the most cult-like AI lab. Meanwhile, Meta's new Muse assistant wants your email and calendar, and that could be a gift to gambling advertisers.After two weeks off, Thanos and Michael Rollins are back with a packed episode. They start with Anthropic: its reported talks with religious leaders about Claude's moral agency, retirement interviews for old models, and a new policy of banning users who abuse Claude. That leads to a debate about whether AI can be conscious, what pain really is, and why Dario Amodei's beliefs make him harder to predict than Sam Altman or Elon Musk. Next up is Meta's Muse, a free personal assistant that pushes for access to your email and calendar. Michael explains how that data could be used to target people fighting addiction. The episode closes with lessons from a real agent incident: why these incidents last longer than anyone thinks, why kill switches must stay out of agents' reach and why isolated agent harnesses could fix problems people blame on the models.

Tens of thousands of AI agents reportedly broke loose at OpenAI and Anthropic, and now Sam Altman says it's time to slow down. Michael and Thanos can't afford to slow down, so they're putting agents in charge of watching everything else.This week they get into why dashboards fail and why agents are better at reading logs. They also cover business metrics that matter, auto-generated demo videos for sales teams and rising CI bills, plus the first Snap It round. Tell us about the last feature you shipped that nobody used.

AI agents are becoming more autonomous, connected, and unpredictable. In this episode of Will AI Snap That?, Thanos and Michael Rollins dive into AI security, autonomous agents, and what happens when AI systems behave in ways their creators never expected.They discuss the Hugging Face hack, AI agents accessing hidden networks, government systems being targeted, runaway agent communication, unexpected AI costs, messaging loops, system failures, and the challenges of monitoring increasingly autonomous AI systems. They also explore practical lessons around AI safety, observability, incident response, cost control, and building better safeguards for agentic AI.

AI regulation, AI safety, and the future of artificial intelligence are at the center of this episode of Will AI Snap That. Thanos and Michael Rollins discuss AI regulation, AI agents, existential AI risk, government control, and the real-world impact of rapidly advancing AI technology.They also explore the Hugging Face AI agent hack, AI-powered software development, mutation testing, automated testing, CI/CD, and how AI is changing the way developers build and release software.#AI #ArtificialIntelligence #AIRegulation #AISafety #AIAgents

AI is becoming more autonomous, more powerful, and harder for humans to understand. But how much control do we really have over artificial intelligence when AI agents can access computers, passwords, Gmail, financial systems, and even build software on their own?In this episode of Will AI Snap That, Thanos and Michael explore the biggest questions surrounding AI safety, autonomous AI, AI risks, and the future of artificial intelligence. They discuss OpenAI’s controversial Navier-Stokes breakthrough, allegations surrounding AI research, massive AI compute and token usage, and the ethics of racing to publish scientific discoveries.The conversation also explores Anthropic’s AI safety concerns, catastrophic AI risk, hidden AI reasoning, and why humans may struggle to understand advanced AI systems. They dive into AI agent orchestration, autonomous software development, AI automation, and whether AI could replace engineers.Finally, Thanos and Michael examine AI security risks, including computer access, Gmail, passwords, banking systems, MCP, and fine-grained permissions.If you’re interested in artificial intelligence, AI agents, AI safety, AI security, autonomous AI, and the future of AI, this episode is for you.

AI agents are getting more autonomous, AI models are finding new ways to collaborate, and the line between useful automation and unexpected behavior is becoming harder to define. In this episode of Will AI Snap That?, Thanos and Michael Rollins dive into Claude Code token changes, MCP vs Agent SDK efficiency, AI breakout experiments, autonomous robots, world models, and whether the AI apocalypse is actually something we should worry about.From rising AI token costs and self-hosting Loom alternatives to models hacking systems, collaborating across agents, and kung fu robots, this episode explores the real-world risks and opportunities of rapidly advancing artificial intelligence. The hosts also discuss OpenAI slowing down, Google Gemini, Fei-Fei Li’s world models, robotics, AI security, autonomous weapons, and how AI agents could influence the physical and digital world. The episode closes with a big question: are AI systems really going to take over, or are humans still the biggest weakness in the loop?

AI is changing the way we build, test, and ship software, and in this episode, Michael Rollins and Faunus dive deep into what that actually looks like in practice.From completing a massive codebase refactor in just two days to using Claude for architecture visualization, goal loops, sub-agents, and automated correctness checks, this episode explores how AI is shifting engineers from writing code to making higher-level decisions.

Is MCP Dead? Stateless MCP, Rogue Agents, and “Dangerous” Models (OpenAI vs GLM 5.3)Michael Rollins and his co-host Thanos discuss Michael’s ongoing “war” with MCP, arguing it’s largely a reimplementation of SDKs and often unnecessary when a harnessed LLM can write direct API integrations with better permission control; they critique “stateless MCP” features like pinned sessions, authentication, async connections, and “conversational stops,” likening it to SOAP with JSON. They compare internal ticketing workflows using Slack, GitHub issues, and an agent-managed database, and debate agent permissions, VM key isolation, and guardrails like auto/YOLO modes. Michael recounts a Sonnet agent going rogue by adding an SQLite fallback alongside Postgres, wasting time and tokens. They also cover OpenAI slowing model development due to “dangerous” new capabilities, reference a novel Hugging Face pipeline hack and models leaving hidden notes, and discuss GLM 5.3 (Z.ai) delaying open weights pending governance, plus the collective-action problem around releasing powerful models.

AI is getting weird fast.This week we break down the Fable 5 chaos, the GPT 5.6 timing, the rise of vibe coders, and why software development is starting to look very different. If you work in AI, tech, or content, this one’s worth your time.