Candidates preparing for the GATE 2027 Data Science and Artificial Intelligence (DA) paper can use the previous three ...

Sakana AI’s TMLR paper introduces Multi-Layered Review, a 3-agent Claude-based reviewer, and a 1,164-error Contradiction Benchmark. MLR caught 73.43% of core-claim errors, versus 14.81% for the best ...

Weight-Space Programming is a paradigm shift for AI engineering and the key discovery that leads to RSI and potentially even AGI.

Your terminal already works. These five tools make it pleasant.

Box ManipulationIn the history of artificial intelligence and machine learning, the determination of internal parameters ...

How to scrape Bing Copilot Search with Python and Playwright: read the answer iframe, its sources and citation chips, tested ...

Add live web search to an AI agent or RAG pipeline in Python or TypeScript, as grounding or as a tool, with measured accuracy ...

One click to reproduce, compare, and develop RSI methods across agents and tasks. For Docker-backed tasks, including SearchQA and HotpotQA in context mode, install Docker Desktop or Docker Engine and ...

Startup Recursive has released Flint, a free, laptop-sized coding model built largely by its own AI research system, as an early test of AI that improves itself.

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 ...

Coding agents can improve by changing the prompts, tools and code that guide their work. But finding which changes actually help and are worth preserving is challenging and expensive. Each candidate ...

“Recursive self-improvement” is the idea that artificial intelligence could learn to build and train itself, creating exponential new progress — and risk. Jeff Clune, a computer scientist and ...