On March 7, 2026, Andrej Karpathy posted a GitHub link on X and a single sentence: “It’s basically nanochat LLM training core stripped down to a single-GPU, one file version of ~630 lines of code.” Two days later, the autoresearch…
In March 2016, an AI system played a Go stone that no human had ever considered. Move 37 — given a 1-in-10,000 probability by expert commentators — won the game and cracked centuries of Go theory. The man who built…
Google’s Gemini 3 Deep Think scored 84.6% on ARC-AGI-2 on February 12, 2026 — a 15.8-point lead over Claude Opus 4.6 and a 31.7-point demolition of GPT-5.2 on the hardest reasoning benchmark in AI. Then Google did something unusual: it…
A randomized controlled trial published by METR in July 2025 tested 16 experienced open-source developers across 246 real tasks. The developers predicted AI tools would save them 24% of their time. After each task, they estimated a 20% speedup. The…
On February 5, 2026, OpenAI and Ginkgo Bioworks quietly published something the AI industry rarely admits: concrete proof that a frontier LLM can design, run, and iterate on 36,000 physical experiments faster and cheaper than published benchmarks. The GPT-5 autonomous…
On February 2, 2026, StepFun released Step 3.5 Flash—a sparse mixture-of-experts model that achieves frontier-class reasoning with only 11B active parameters per token. The full model contains 196B parameters, but thanks to intelligent expert routing, it runs on consumer hardware…
Ricursive Intelligence just raised $300 million at a $4 billion valuation—55 days after announcing a $35 million seed round at $750 million. That’s a 5.3x valuation jump in under two months. The startup, founded by the creators of Google DeepMind’s…
“Physical AI is having its ChatGPT moment,” Jensen Huang declared on the CES 2026 keynote stage in January 2026. The NVIDIA CEO wasn’t overhyping. He was marking a genuine inflection point where AI finally moved beyond screens into the physical…
The Transformer architecture has ruled AI since 2017. But in January 2026, every major AI company—IBM, NVIDIA, AI21 Labs, TII—is shipping models built on something else. The pattern is identical: Mamba layers for efficiency, Transformer layers for reasoning, mixed architectures…
