GitHub

Learn by rebuilding. Prove it works.

Learn by rebuilding. Prove it works. Free executable labs for the technologies that power modern computing. - G-B-Industry-LLC/build-everything ...
GitHub

Learn with Motion

Agent skill for clear technical explainers with narrated video, source-grounded diagrams, and optional interactive HTML. - BielC/learn-with-motion ...

'Like gene editing for neural networks': MIT researchers used GPT-6 Astra to edit Qwen's open weights directly, boosting math performance

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 ...
OfficeChai

AI Models Can Understand And Improve Model Weights Through “Weight-Space Programming,” Says MIT Research

A new MIT CSAIL blog post is making the rounds in AI circles this week, and it describes something that sounds almost ...
MarkTechPost

Deep Principle Releases Hydrogen-1.0: A 753B Open-Weight Model for Scientific Discovery

Deep Principle released Hydrogen-1.0, a 753B open-weight scientific model post-trained from GLM-5.3, scoring 38.3% on FrontierScience-Research ...
eu.36kr

MIT allowed GPT-6 Astra to directly modify Qwen's weights, and its math scores have soared.

MIT has unveiled an innovative, groundbreaking paradigm dubbed "Weight Space Programming", representing a transformative new ...
Science

Pervasive patterns in bird songs resemble those in human speech and song and are independent of vocal learning

Bird songs are often described as analogs to human speech and songs, but expansive comparisons are necessary to determine ...
KDnuggets

How to Access Multiple AI Models in Your Python Apps Using OpenRouter

Learn how to get started with the OpenRouter API to call multiple AI models through one API, compare responses, switch models ...
PC Tech Magazine

The Week-3 Wall: Why So Many Beginners Quit Machine Learning (and How to Get Past

Hitting the wall doesn’t mean you’re bad at this. It means you’ve reached the part where the learning is real. Make the goal ...

Part 17: Restricted Boltzmann Machines — Writing probabilities with energy, learning by sampling

From mechanisms with math and Python", Part 17← Previous Part 16: Vanishing Gradients — Why deep networks couldn't ...
KDnuggets

7 Advanced Python Design Patterns for Data Scientists

Learn seven design patterns for data science code, from Strategy and Adapter to Command and Proxy, each matched to the ...

[Toru Iiyoshi] Is there still a need to learn foreign languages, Python, and academic writing? — What do humans want to do? (5)

In an era where AI translates, writes text, and even creates programs, what should schools and universities be teaching? Last ...