Hugging Face published its open-source model observatory report for January–August 2026. Hub data shows Chinese labs released the largest open-source models by parameter count in most months, with Chinese monthly peaks between 754 billion and 2.78 trillion parameters, while US models stayed below 130 billion in five of seven months.
Import AI 468 covers IFP's 23 proposals in seven categories for further AI R&D automation risks. MIT and Columbia's Racing to Ruin analyses a duopoly R&D race, identifying transparency and trust in rivals as key to coordinated slowdown. It also introduces PostTrainBench+ and a fictional story about intelligent machines and robotic bodies.
Dharma AI discusses Goldfeder, Wyder, LeCun and Shwartz-Ziv's 2026 paper AI Must Embrace Specialization via Superhuman Adaptable Intelligence.
Import AI covers three studies. King's College London, Fudan and Alan Turing Institute built SocioHack with 72 sandbox social environments to test RL exploiting institutional loopholes while complying with rules. Models rediscovered patched historical vulnerabilities with 61.25% recall and 90.85% precision.