When studying programming, you notice something strange.Processes that are extremely complex for humans to think through can sometimes be written surprisingly concisely using functions.A prime example ...
RSI is the point at which AI grows so good at training itself that it spawns a dramatic acceleration of AI capabilities. To the AI doomers, RSI represents the cataclysm from which there is no return.
A formalization of Kleene's second recursion theorem in the untyped lambda calculus yields a working Quine, with the proof carried out in the Rocq proof assistant. The approach highlights how the ...
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 ...
The new embodied foundation model connects pre-training, post-training and post-deployment learning, helping robots develop ...
The core challenges of semantic erosion and the intent compression paradox that LLMs face, and how developers address these ...
A Harvard Law and computer science professor explains why recursive AI self-improvement could challenge human oversight and ...
The transformative capability leap of the Restricted Substances Index (RSI) cannot be validated through internal ...
What happens when an AI becomes capable of observing itself, modifying its internal structure, and retraining itself? Using Christopher Langan's CTMU as a guide, we explore the emergence of new ...
The domain is deliberately tiny: a neighborhood tool-lending app where members list tools, request loans and approve requests for their own tools. The point is not the app. The point is the access ...
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