A harmonic increment provides a new way to improve smooth approximations of the minimum function. In a recent paper, ...
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 ...
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.
Article by Shenchao TechFlowNo training required, no data needed, no gradient descent.Researchers at MIT fed the weights of ...
Although outside attention on Monday focused more on Anthropic’s latest financial data disclosed in its revised S-1A ...
The core challenges of semantic erosion and the intent compression paradox that LLMs face, and how developers address these ...
Anthropic warns that future AI could reach a key threshold of self-improvement, highlighting potential risks as advanced systems accelerate research.
From faster blocks landing this week to private RPC payments still on the whiteboard, here's the roadmap Zcash's builders laid out on Bankless.
Ali Partovi, the investor behind Cursor, Facebook and Airbnb, has a one-sentence fix for runaway AI agents: if a model autonomously does ...
MIT has unveiled an innovative, groundbreaking paradigm dubbed "Weight Space Programming", representing a transformative new route in advanced artificial intelligence and neural network engineering.
Qwen3.5-0.8B, a small open-weight model from Alibaba, also saw GSM8K accuracy rise from 13.8% to 67.1% and IFEval from 21.0% to 62.3%. The researchers call the result early "sparks" of a capability, ...
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