Why build an app when you can build the app that builds apps?

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.

If you have the experience of finishing a technical book only to find you cannot explain the important concepts the following ...

In this first installment, I will look back on the Python 3 Certified Engineer Basic Examination that I obtained during ...

It's more a proof of concept than something you're gonna use right away, but it's still pretty cool.

Imagine printing the numbers 1 to 1000. You wouldn't write 1000 print lines. A loop runs the same block of code again and again. Python has two kinds: for: do something for each item in a sequence, or ...

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.

Nullspace, Inc., developer of next-generation electromagnetic (EM) simulation software, today announced a partnership with ...

Article by Shenchao TechFlowNo training required, no data needed, no gradient descent.Researchers at MIT fed the weights of ...

Google has introduced the LiteRT Tensor API, a lightweight C++ API that allows developers to build, customize, and optimize ...

Baseten announced on November 5, 2026 that it has joined the NVIDIA Nemotron Coalition, contributing insights from enterprise ...

Astra identifies game policies from raw weight matrices and fixes reasoning loops in Qwen3.5-0.8B by editing 0.016% of parameters, lifting MATH-500 scores from 7.9% to 48.1% without training loops.