In the field of artificial intelligence, machine learning is a branch that uses data and algorithms to imitate human learning. It's an ongoing process in which computers can improve their accuracy ...
Google's EnvHarness and EnvRigger reshape static environments around an agent's diagnosed flaws, beating domain-specific ...
Box ManipulationIn the history of artificial intelligence and machine learning, the determination of internal parameters ...
A longstanding hypothesis held that some problems would always be hard for computers to solve quickly. But OpenAI disproved ...
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 ...
In particular, LLM-based AI agents have demonstrated strong coding capabilities, while harness engineering has further enhanced their ability to interact with the external world, execute actions, and ...
In inference optimization, reward hacking happens when an agent improves its score by exploiting the evaluation without delivering the improvement we actually wanted. This can happen at the kernel ...
GPT-6 Astra edited Qwen’s weights and raised MATH-500 from 7.9% to 48.1% in author-run tests. How weight-space programming works—and its limits.
MIT has unveiled an innovative, groundbreaking paradigm dubbed "Weight Space Programming", representing a transformative new ...
Recursive, an AI startup founded last year, is starting to live up to its name. The company, which is trying to build AI that can improve itself, released its first model, Flint, on Wednesday. Flint ...
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 ...
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