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.
Custom model code is scanned and approval is bound to its ...
Conversation is a core component of human social life. Many influential theories treat conversation as a linear system, i.e., ...
MIT CSAIL's "weight-space programming" has a frontier LLM read and edit neural network weights directly, with no gradient descent. Surgical edits ended Qwen's reasoning loops, but the results come ...
In the strongest example of "weight space programming", as the technique is called, Astra’s intervention raised Qwen3.5-0.8B’s MATH-500 score from 7.9% to 48.1% while touching approximately 0.016% of ...
This repository implements reinforcement learning environments with intentional reward hacking vulnerabilities and tests whether LLMs can identify when agents exploit these vulner ...
I Wanted to Try Building an LLM MyselfPreviously, I read a book titled "Are Large Language Models a New Form of Intelligence?
Generative AI is useful. But explaining the "mechanism behind how text is created" is difficult.If you only need to call an ...
Meta’s bringing Instagram’s “Your Algorithm” feature to Facebook, and using LLMs more to rank content. Meta’s bringing Instagram’s “Your Algorithm” feature to Facebook, and using LLMs more to rank ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results