AI’s TwIL-8B is an 8.8B open-weights reasoning model scoring 98.2 on MATH-500 and running locally in 4.98 GiB.
In this example, we will solve the problem of how to minimize the cost of laying underwater cables to collect electricity produced by an offshore wind farm. We will construct a mixed-integer ...
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 ...
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 ...
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.
AI agents began providing "answers" to unsolved mathematical problems. At the beginning of the year, it was only a matter of ...
When self-studying Python, many people look into the Python 3 Certified Engineer Basic Exam because they want a tangible goal ...
Test Apex Legends meta weapons in Season 30 with a Python TTK lab: Playground stats, patch diffs and source checks in 12 ...
In the spirit of my recent “Math 2.0” talk on new ways to use AI assistance to enhance the human understanding of mathematics, rather than substitute for it, I am using this post to propose an ...
A logo of Nvidia is picture before the Nvidia/Japan AI Ecosystem Reception in Tokyo on July 16, 2026. Philip FONG/AFP via Getty Images NVIDIA researchers published and open-sourced FlashREINFORCE on ...
AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...
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