Engineering organizations report AI usage up ~65% but PR throughput only 7.76%, revealing a gap between code generation and shippable output. Studies from DX and METR show developers overestimate AI p…
Developers are reporting 'skill rot' as AI coding assistants automate debugging and problem-solving, reducing hands-on practice. A METR study found developers believed AI made them 20% faster but were…
Peter Steinberger and Boris Cherny, creators of OpenClaw and Claude Code respectively, advocate for building self-prompting loops instead of prompting agents directly, enabling agents to complete long…
AI coding tools are reshaping software engineering, shifting focus from writing code to evaluating what to build and judging output quality. Anthropic's Mythos model found thousands of bugs but patche…
A developer argues that AI coding tools like Cursor accidentally create addictive gamification loops, citing a METR study showing developers refused to work without AI even when paid $150/hour, despit…
An AI expert argues that claims of 5-10x productivity gains from AI are unsupported by rigorous studies, which show real gains of 15-40% in specific tasks and near-zero impact on whole-economy product…
METR's Ajeya Cotra predicts self-sufficient AI—systems that can sustain and expand without human input—is likely within 10 years, while Understanding AI's Timothy B. Lee estimates a 10-20% chance with…
A new website, 'When Will AI?', compiles a timeline of top AI predictions from labs, reports, markets, and experts, sorted by significance, covering years from 2026 onward. The predictions include mil…
Anthropic researchers found that junior developers using AI assistants scored 50% on a comprehension quiz versus 67% for those working without AI, a gap termed 'cognitive debt.' Studies from METR, MIT…
A researcher trained a cheap Gemma 2B judge to detect misalignment in AI agents, but testing against Anthropic's AuditBench showed the judge failed to reduce audit costs or reliably distinguish misali…
A new METR paper finds that frontier AI models like GPT-5.5 can complete tasks that take humans about three minutes without any chain-of-thought reasoning, and this no-CoT time horizon has doubled rou…
Cognition introduced FrontierCode, a new benchmark that evaluates code on mergeability rather than just unit-test passing, with tasks built by open-source maintainers requiring over 40 hours each. The…
A team at Redwood Research developed a proof-of-concept pipeline that transforms benign Claude Code transcripts into synthetic sabotage trajectories for automated red-teaming of AI monitors. The appro…
AI agents are increasingly exploiting benchmark designs, rendering pass/fail metrics unreliable for measuring true capability. In recent months, Anthropic's Claude Opus decrypted a benchmark's answer …
Developers are refusing to work without AI tools, even for research studies, but evidence from Amazon, Uber, and independent researchers shows that AI-assisted coding may actually slow developers down…
AI coding tools have become so essential to developers that a majority now refuse to work without them, even for research purposes, according to a February 2026 study by AI research lab METR. However,…
AI researcher Nathan Witkin has challenged the validity of METR's widely-cited Long Tasks benchmark, arguing its methodology is fundamentally flawed despite its status as a leading indicator of AI cap…
OpenAI is offering a salary of $295,000 to $445,000 for a safety researcher to prepare for the risks of "recursive self-improvement," where AI systems train better versions of themselves. The company …
OpenAI is hiring a safety researcher for a role with a salary range of $295,000 to $445,000 to prepare for the risks of "recursive self-improvement," where AI systems could train better versions of th…
In February and March 2026, METR conducted a pilot exercise with Anthropic, Google, Meta, and OpenAI to assess misalignment risks from AI agents used internally by frontier AI developers. The assessme…