How we monitor internal coding agents for misalignment
How OpenAI uses chain-of-thought monitoring to study misalignment in internal coding agents—analyzing real-world deployments to detect risks and strengthen AI safety safeguards.
Daily edition · AI
The daily ledger
TILens turns technical updates into a focused daily brief: official releases, trusted reporting, and practitioner analysis, deduplicated and organized by topic.
5 articles · 4 sources ·
OpenAI to acquire Astral
Accelerates Codex growth to power the next generation of Python developer tools
#541: Monty - Python in Rust for AI
When LLMs write code to accomplish a task, that code has to actually run somewhere. And right now, the options aren't great. Spin up a sandboxed container and you're paying a full second of cold start overhead plus the…
Learning Path: LLM Application Development With Python
Build LLM-powered applications in Python. Call model APIs, craft prompts, add retrieval-augmented generation, create AI agents, and connect via MCP.
AI Is Building Your Attack Surface. Are You Testing It?
Speed has outpaced validation. With 62% of LLM-generated code testing as insecure and AI agents using undocumented APIs, legacy tools fall short. Learn how Snyk’s AI-powered dynamic testing secures your expanding attack…