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Stanford cracked resampling with two models auditing each other? Those two are not in the paper at all
A tweet claims that GPT-6 Astra and Claude Opus 5.5 broke through the resampling wall, with a 28-point improvement on MATH500. But people who read the original paper found that the experiment actually used small open-source models of 1.5B parameters. The method might work, but the hype got ahead of the facts.
What Language Should Agents Use to Communicate with Humans? Behind Karpathy's 50K Likes, an Overlooked Debate
Andrej Karpathy suggested using ASD-STE100, charts, web pages and generated videos to structure LLM outputs, and the post received 50,000 likes. But Elvis Saravia, founder of DAIR.AI, argues this is just the tip of the iceberg: what humans and agents really need is a true universal interface. This article compiles the core arguments and original experiments from this debate.
Writing a Native Metal Renderer for Minecraft with Claude and Astra: 5-Year-Old MacBook Hits a Solid 60fps
A developer has built a native Metal renderer and matching shaders for Minecraft Java Edition using Claude Opus and Astra, achieving a stable 60fps at full Retina resolution on a 5-year-old MacBook.
Room Service 3.2.0: Conversation History Is Not Cached
Room Service 3.2.0 adds Claude Code conversations to the reviewable list for AI Apps, allowing full rollback after deletion; Rust toolchains and Node versions are now displayed in separate categories; the group penetration issue has been fixed in the clean command. Review before deletion.
Six Months as an AI Evaluation Engineer: Turning Evals from a Dashboard into a Quality Gate
Suraj Sharma shares a 12-stage learning roadmap and 7 must-build projects. Core thesis: Evaluation must be a gate that blocks bad deployments, not just a dashboard that displays metrics. Only trajectory-level evaluation can pinpoint where agents actually fail. Includes community discussions and a real-world case study.
She Fired Herself and Wrote a Job Description for Grok Bot
SpaceX AI engineer Lauren Tan built an unattended workflow with Grok Bot, then fired herself from her browser-based role. A long-form article by distort lays out an actionable hiring framework covering role definition, permissions, probation periods, and promotion criteria. The core question has shifted from how smart the model is, to what permissions it can reliably earn.
Are AI memory plugins a pseudo-demand? Maybe what agents actually need is to learn to write documentation
Memory plugins, vector databases, RAG retrieval — all these tools that claim to help AI retain context may have been headed in the wrong direction from the very start. Someone has proposed: Agents don't need memory. What they need is documentation.
OpenAI Dots: 24/7 Always-On Agent, Integrated With 4,000+ Apps, Gets Work Done Before You Even Finish Prompting
OpenAI Dots is an always-on agent running on GPT-6 Astra that comes with built-in cloud computer and browser access. It retains consistent memory across ChatGPT, Slack, Teams, calls and text messages, and advances tasks on its own outside of active conversations. The system is already integrated with over 4,000 applications. This post covers how it works and its current limitations.
OpenRig: Putting Claude Code and Codex on the Same Team
How do you manage multiple AI coding agents each doing their own thing in the terminal? OpenRig uses YAML to define agent teams, building a persistent collaboration system with shared context, recoverability, and observability for Claude Code and Codex. This article covers its core design, getting-started path, and security trade-offs.
She Used Claude as a Diary to Write “Going to Shoot”, Anthropic Notified Police
A Florida woman used Claude as a diary and wrote a shooting threat in the conversation. The safety system flagged it, human reviewers checked it, and the police were notified. Her chat records became the basis for arrest.
