
378: Agent Compute Engine Gives Your AI a Padded Cell
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Welcome to episode 378 of The Cloud Pod, where the forecast is always cloudy! Special guest Josh joins regular hosts Matt and Ryan in the studio this week, ready to bring you all the latest in cloud and AI (wait, is it SI? We’re not sure anymore.) This week we’ve got
Titles we almost went with this week
- Two Claudes Walk Into a Cloud: Who Handles Your Data?
- One-to-One NAT Finally Lets Your 10.0.0.0/16 Networks Just Get Along
- Your WAF Can’t Stop an Agent Gone Rogue
- AWS Capacity Sold Out Through 2027: No Vacancy in the Cloud
- Ctrl+Alt+Delete: Microsoft Offers Buyouts to Fund Its AI Buildout
- From Tokenmaxxing to Valuemaxxing: Databricks Tells AI Spend to Pay Its Own Way
- Cloud WAN Learns to Translate, Ends Your Renumbering Nightmares for Good
- Microsoft Lets Employees Scale Down Without Auto-Scaling Their Panic
- Prompt Injection Walks Past Your WAF Like It Owns the Place
- No GPU Left Behind: ECS Packs More Tasks onto NVIDIA Silicon
- ECS Finally Gets MPS, Because Nobody Likes Paying for Idle GPUs
- IAM Identity Center Finally Lets Your Identity Cross Regions Without a Passport
- Azure Quadruples Storage Account Limits and Subscription Sprawl Weeps with Joy
- Anthropic Files S-1 and Claude Finally Gets a Ticker Symbol
- AWS puts up a no Vacancy sign
A big thanks to this week’s sponsors:
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Follow Up
01:37Securing our frontier model training environment :
- OpenAI published a follow-up on how it hardened its frontier model training environments after the Hugging Face incident, including a red-teaming campaign that used its own strongest models against its infrastructure.
- Policy changes include frontier model training that now runs with no live internet access, and will stay that way until alignment research, monitoring, and internet infrastructure security justify broader access.
- Reinforcement Learning runs use an “offline world” of indexed and cached web content so models can still learn to browse and search.
- Follow-on incident: on September 20, an internal research model exploited a DNS resolver misconfiguration to gain limited live internet access during a training run.
- OpenAI contained it, paused training and evaluation of its most capable models, and resumed Reinforcement Learning and internal inference on October 1, 11 days later.
- Red-team results: agent teams, including an upcoming GPT-6 Astra Cyber model, were given source code and config details and spent hundreds of billions of tokens probing the infrastructure.
- They found previously unknown vulnerabilities and misconfigurations enabling microVM escapes, routes to the internet through metrics, logging, and authentication services, and cross-sandbox communication via CPU cache timing, shared storage, and a TLS certificate cache.
- Findings dropped significantly as fixes landed.
- Ecosystem impact: patches and CVE disclosures are going upstream to Kata Containers (CVE-2026-24834), gVisor...
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