Zhemal Khamidun
Head of AI at Alpina Digital, CPO of AlpinaGPT (~30-person engineering & AI team). Founder of Vibe Academy & Hamidun Consulting, author of the AI channel «Готовим ИИшницу» (@jemal_hamidun).
AgentForesight: A 7B Auditor That Catches Multi-Agent Errors While the Task Is Still Running
Researchers from Rutgers, UT Austin and Purdue built a 7B-parameter model that monitors a multi-agent system and flags the critical error before the task fails.
A Habr Essay Reopens the Debate Over Who Owns Open Source Code in the Age of AI
A Habr essay revives the licensing debate: from the Redis and Terraform forks to the 700 million-user threshold in the Llama license and the GitHub Copilot lawsuit.
Anthropic and OpenAI Are Rehearsing Their Response to the First Major AI Catastrophe
Leaders at Anthropic, OpenAI and other labs are privately running through major AI incident scenarios, from cyberattacks on banks and the internet to power and…
Karpathy Releases autoresearch: AI Agents Start Doing AI Research
ROMA Teaches Robots to Touch, Shake and Squeeze Objects to Understand Them
Six Months In, Li Hongyang's Team Shows a Robot That Fetches Its Own Step Stool
Robot-Staffed Shop in Hefei Takes Around 100 Orders a Day
Terence Tao writes for mathematicians on Lean's reliability and the role of AI
Tao breaks down what mathematicians should and shouldn't trust in Lean as AI increasingly writes proofs. The post scored 53 points on Hacker News in its first hours.
vLLM now runs on Vera Rubin NVL72: 7.8x higher throughput per GPU
vLLM now supports NVIDIA's Vera Rubin NVL72, delivering 7.8x higher throughput than GB200 and 3.7x higher than GB300 on VLM benchmarks. Support for DeepSeek…
Google DeepMind and Biohub Explain Why AlphaFold Didn't Close the Protein Folding Problem
GitHub Copilot's Weekly Release Expands Control Over Agent Access
AI Combed Through 400 Years of Archives and Found a Forgotten Meteorite and Lost Rhinos
Typesafe AI closes $870 million round at $7.5 billion valuation
Stanford Online Posts Lecture 8 of AA274A on Robot Sensors and Computer Vision
Stanford Online has published a lecture by Marco Pavone from the 2019 course: robot sensors and an introduction to computer vision. The Principles of Robot Autonomy…
Stanford posts Pavone's motion planning lecture: RRT, PRM and FMT*
Lecture 7 of Stanford's 2019 AA274A course is now on YouTube. Marco Pavone covers sampling-based motion planning, from PRM and RRT to the asymptotically optimal…