AI
Artificial intelligence: the models, the labs, the people building them, and what it all means.
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OpenAI’s AI Pipeline Found 948 Linux Kernel Root Exploits for $1.2M
OpenAI built an autonomous pipeline that found, reproduced, exploited and patched 948 Linux kernel privilege escalation bugs in one run, for about $1.2 million in API credits. The…
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Weight-Space Programming: An LLM Reads, Fixes and Writes Network Weights
Weight-Space Programming has a frontier LLM read, repair and write neural network weights with no gradient descent, and the first results are startling. In a 26-minute explainer, Jia-Bin…
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SemiAnalysis GDPx: Why the Best AI Model Scores Just 12% on Real Work
SemiAnalysis just launched GDPx, a private benchmark of 206 expert-built agentic tasks across 11 high-value domains, and the best frontier model, Claude Opus 5.5, scores only 12%. In…
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DeepSeek Super-agent: Why the Harness, Not the Model, Is the Story
DeepSeek’s Super-agent is a research prototype that turns its open-source DeepSeek Harness into an always-on teammate that watches a GitHub repo, takes requests from issues and chat, and…
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Claude Code Blocked REA? The Real Story Behind Craft Anything
In late October 2026, X decided that Anthropic had quietly killed Reverse Engineer Anything (REA), the open-source tool that lets AI coding agents take apart apps, firmware and…
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Sabine Hossenfelder: AI Eats Physics, and Exposes a Field of Fiction
Physicist Sabine Hossenfelder argues that AI, after taking over mathematical proofs, is now flooding physics with papers, and that this may finally force the field to admit how…
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31 Ways to Use Claude in 2027: Hack Your TV, Fix Wi-Fi, Find a Planet
Nick Saraev rounds up 31 real ways people are using Claude and Claude Code, from stripping ads out of a smart TV to finding an exoplanet candidate in…
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Dylan Patel: Who Can Actually Deliver AI Compute, and Who Pays for It
SemiAnalysis CEO Dylan Patel explains why AI compute is so hard to buy, which clouds can actually deliver it, and how Nvidia now backstops the debt behind it.…
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Garry Tan: AI Agents, the Five Kings and the Case for More Billionaires
Y Combinator CEO Garry Tan tells Walter Isaacson why personal AI agents are the next operating system and why five AI “kings” could end the startup era. In…
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GPU vs TPU vs LPU: Julia Turc on the Von Neumann Bottleneck in AI Chips
Julia Turc explains how NVIDIA GPUs, Google TPUs and Groq LPUs each attack the von Neumann bottleneck, the 1945 gap between memory and processor. In a 30-minute video…
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Paul Copplestone on Supabase: Building for Agents and a Billion Builders
Supabase CEO Paul Copplestone explains why AI agents now drive most new database activity, and what happens when everyone with access to AI can build their own software.…
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AI Agent Performs Brain Surgery on a Mouse: What It Chose and Refused
An AI agent chose a gene therapy, picked a brain target and injected it into a living mouse with epilepsy, then refused to let its operator override a…