Self-supervised learning creates training targets from the structure of unlabeled data, allowing models to learn ...

One of the most significant themes long debated in Japan's IT industry and career market is the survey data on IT talent ...

Could you explain how almost 100 percent of the electricity in semiconductors is wasted? Does it have anything to do with ...

Researchers developed NiCLIP, an AI model that decodes cognitive tasks, concepts, and domains from brain activation patterns. Trained on over 23,000 papers, NiCLIP excels at group-level decoding, ...

The official podcast of the singularity. News, analysis, and interviews with the people who are building the AI future. New episodes on Wednesdays and Fridays. October 23, 2026 • Fired OpenAI safety ...

TornadoVM, an open-source heterogeneous programming framework for Java has reached version 7.0. It automatically accelerates ...

Cursor vs Claude Code after the Oct. 12 X Subscription change: plans from $8 to $200, Opus 5.5 billing, benchmarks and who ...

For the past few days I’ve been testing an impressive open-weight AI coding model called Flint. It suggests that fully recursive self-improvement, or RSI—an exciting and controversial approach that ...

Flint vs Bonsai 2 27B compared: benchmarks, speed and VRAM for the two newest local coding LLM releases, with all numbers ...

Flint is a 40B local coding model that activates 2.5B parameters per token, runs offline at 125+ tokens per second, and needs ...

If you want to keep bots from making sense of the code you worked so hard on and using it to write programs of their own, ...

Recursive Flint is a 40B MoE local coding model with 2.5B active parameters, scoring 74.2% on SWE-bench Verified.