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.
shattered.io

Bedrock vs Microsoft Foundry vs Vertex AI: Pricing [2026]

Three companies now sell the same basic product: on-demand access to frontier AI models through a cloud API. Amazon Bedrock, Microsoft Foundry, and Google’s Vertex AI all promise the same pitch: pick ...
GitHub

README.md

Contribute to Favouratem/Database_portfolio- development by creating an account on GitHub.

A CPU running inside an LLM running on a GPU? ...I know it sounds crazy, but here is what I learned and didn't learn from replicating Qwenputer

A model was released on Hugging Face that claims to have a 32-bit RISC-V CPU compiled and embedded within the weights of ...
GitHub

Priyantshah Time_Series_Regression_Multi_Store_Sales

Since there are many shop/item_id combinations in this dataset, and historical data to train on, we naturally have a 'big data' problem to which we must consider when using which algorithms and ...
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 ...