Weight-Space Programming is a paradigm shift for AI engineering and the key discovery that leads to RSI and potentially even AGI.
Show me the facts Explain it like I’m 5 Give me a lighthearted recap Back at university, I wrote quite a few Python programs ...
Fifteen DeFi exploits had already been logged by late March 2026, according to CoinPaprika’s 2026 exploit tracker, and the pace hasn’t slowed since: CertiK’s H1 2026 report counted 344 incidents and ...
System logs generated by globally distributed microservices often hide subtle degradations (like memory thrashing or systemic ...
A new Python package provides programmatic access to tens of thousands of uniformly processed RNA-seq samples from human and ...
"Please improve an AI that is bad at math without additional training."When asked this, we usually think of adding training ...
On November 2, 2026, four researchers including Rikiya Takehi from MIT CSAIL (Computer Science and Artificial Intelligence ...
Article by Shenchao TechFlowNo training required, no data needed, no gradient descent.Researchers at MIT fed the weights of ...
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.
Tsinghua’s HarnessPro cuts AI coding agent costs 26% while boosting accuracy without model retraining. Factory Droid 1.0 ...
Claude Code forgets past sessions. Discover how a three-layer memory system preserves decisions, mistakes, and context using Python and Markdown.
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