Hello everyone, stay safe!! This is Takachan the engineer.How does AI find its own mistakes and make its next predictions more accurate?Humans review the questions they got wrong on a test and study ...
MIT CSAIL researchers say GPT-6 Astra edited 0.016% of Qwen3.5-0.8B weights to fix reasoning loops, lifting MATH-500 from 7.9% to 48.1% without training.
MIT has unveiled an innovative, groundbreaking paradigm dubbed "Weight Space Programming", representing a transformative new ...
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 ...
On November 2, 2026, four researchers including Rikiya Takehi from MIT CSAIL (Computer Science and Artificial Intelligence ...
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Foundry Robotics raises $100M for AI-native defense factory, acquires Avec Robotics
Foundry Robotics raised a $100M oversubscribed Series A led by Marlinspike Partners to build an AI-powered autonomous ...
This research introduces a new network that reduces circuit executions for quantum error mitigation, accelerating noisy ...
Find out what your month will look like depending on your zodiac sign ...
MIT researchers say GPT-6 Astra edited 0.016% of Qwen3.5-0.8B weights without training, fixing reasoning loops and lifting MATH-500 from 7.9% to 48.1%.
Machine learning models trained on controlled flume experiments identify fine sand and the first ten minutes of ...
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 ...
Researchers at the Massachusetts Institute of Technology (MIT) have used OpenAI's GPT-6 Astra to improve the mathematical performance of Alibaba's Qwen3.5-0.8B AI model by directly modifying its inter ...
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