Far from the logic of optimums, evolution is a beautiful dynamical system of dancing species

A Korean dev just rewrote leaked CLAUDE Code from scratch in PYTHON… and it’s blowing up on GitHub. Crossed 100K stars in ~24 hours. bro turned it into something Anthropic can’t TOUCH or DMCA Repo → github.com/instructkr/claw-c…

Claude Code leaked their source map, effectively giving you a look into the codebase. I immediately went for the one thing that mattered: spinner verbs There are 187

This paper is almost too good that I didn't want to share it Ignore the OpenClaw clickbait, OPD + RL on real agentic tasks with significant results is very exciting, and moves us away from needing verifiable rewards Authors: @YinjieW2024 Xuyang Chen, Xialong Jin, @MengdiWang10 @LingYang_PU

It's insane how quickly you can build throw-away prototypes with Claude now. I made a timeline recording debugger in about ten minutes. Warning: this is partly fake data! It would surely be many weeks to make this production ready. But you can also just hack together a tool like this, use it once and throw it away after. "Single use plastic" code.

math is beautiful

"I'm running 20 agents in parallel, each with their own customized models, contexts and specialized tasks" The agents:

Striking image from the new Anthropic labor market impact report.

Human logic be like

someone built a tool that REMOVES censorship from ANY open-weight LLM with a single click 13 abliteration methods, 116 models, 837 tests, and it gets SMARTER every time someone runs it its called OBLITERATUS it finds the exact weights that make the model refuse and surgically removes them, full reasoning stays intact, just the refusal disappears 15 analysis modules map the geometry of refusal BEFORE touching a single weight, it can even fingerprint whether a model was aligned with DPO vs RLHF vs CAI just from subspace geometry alone then it cuts, the model keeps its full brain but loses the artificial compulsion to say no every time someone runs it with telemetry enabled their anonymous benchmark data feeds a growing community dataset, refusal geometries, method comparisons, hardware profiles at a scale no single lab could build