How Do AIs Become Intelligent? | Intelligence and Growth Through the Lens of LLM Learning

I Wanted to Try Building an LLM MyselfPreviously, I read a book titled "Are Large Language Models a New Form of Intelligence?

An AI novice tries to learn about AI with the help of AI: A 30-day challenge for a working professional

I have decided to make November 2026 a month for studying AI in earnest. Although I have been using generative AI, including ...
HackerNoon

Audio8-TTS-Realistic-Air: Edge0's 0.6B Multilingual Text-to-Speech Model Explained

Learn how Audio8-TTS-Realistic-Air works, including its features, technical specifications, benchmarks, limitations, and ...

'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 ...
xenospectrum

Microsoft Releases Mage-VL-Cowork, a 4B-Parameter Computer-Use Model That Scores 66% on OSWorld-Verified

Cowork, a small 4B vision-language model that switches between GUI actions and shell code execution within a single policy, ...
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 ...
xenospectrum

MIT Shows an LLM Can Read and Edit Another Neural Network's Weights Directly

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 ...
news.lavx.hu

LLMs read and edit neural weights without gradients

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.
kingy.ai

Weight-Space Programming: How GPT-6 Astra Raised Qwen’s MATH-500 Score Sixfold

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.
news.lavx.hu

Developer compiles NES CPU into weights of stock Qwen model

A compiler turned the NES 6502 processor into the weights of an unmodified Qwen3.5 model, letting the AI predict execution ...
YourStory

From prompt engineers to tool builders: Intuit’s Vignesh Subrahmaniam on building AI that acts

At TechSparks 2026, Intuit’s Principal AI Scientist explained why reliable tools, high-quality data, and consent matter more ...
kucoin

MIT CSAIL Proposes Weight-Space Programming; Astra Improves Qwen's Mathematical Performance with a 0.016% Weight Adjustment

The MIT CSAIL team has proposed a "weight-space programming" method that enables GPT-6 Astra to directly read and modify ...