My comment on Now we have a timeline of the OpenAI accidental attack against Hugging Face — Hacker News. I think one of the most interesting details here might be tucked away in that first bulletin point: May 7: OpenA... Context & related coverage →
Cloudflare recently introduced Precursor, a client-side behavioral analysis engine that continuously evaluates session interactions, such as mouse movements and keyboard timing, to improve detection of sophisticated b... Context & related coverage →
Martin Spier explains how agentic workflows dramatically increase code change volume at OpenAI. He discusses the hidden systemic performance costs of rapid shipping beyond GPUs, and shares how deploying always-on AI a... Context & related coverage →
As LLMs are increasingly deployed within agentic systems, their capabilities depend not only on the model weights but also on the harness: the prompts, tools, control flow, memory, and orchestration code surrounding t... Context & related coverage →
Deploy Deep Agents to a managed LangSmith runtime with durable execution, memory, sandboxes, channels, evals, and production-ready infrastructure. Context & related coverage →
Moonlight & Mayhem (Raccoon Heist by Codex + GPT-5.6 Sol Ultra) On Wednesday I wrote about One-shotting a Raccoon Heist game using Claude Fable 5 , where I had Claude Fable 5 build a full working game from a premise I... Context & related coverage →
Unpaired image-to-image translation must decide, per image, what to change and what to preserve without paired supervision. Many diffusion-based unpaired translators control preservation through a single global noise... Context & related coverage →
Introducing LangSmith LLM Gateway: runtime governance for AI agents with spend limits, PII redaction, and trace continuity, built directly into LangSmith. Context & related coverage →
Commercial vision-language models are reshaping computer vision, with visual priors broad enough to rival task-specific systems. This raises a natural question: do they reduce the need for classic, physics-informed lo... Context & related coverage →
Learning from demonstration (LfD) provides a developmental framework through which robots can develop motor skills by observing and imitating human dynamics, reducing reliance on explicit programming to teach a skill... Context & related coverage →