Build an AI code review pipeline on GitHub Actions with Semgrep, reviewdog and a Python model reviewer. 12 steps, tested code ...

In this 'Rough Output' series, I will be writing down what I have learned at my own pace to organize my thoughts. As the ...

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

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 ...

Expecting ',' delimiter`... With that one line, the process stops right there.If you try to process data returned from an API ...

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.

This release provides the BREST-AI 16-bit, four-view model developed at the University of Warwick with NHS and academic collaborators. It estimates an examination-level three-year risk score from a ...

Deploy Azure OpenAI with GPT-5-mini by using the Azure Developer CLI. Run a local app that authenticates with Microsoft Entra ID instead of an API key. Send one request to the Responses API and print ...

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

Mistral AI opened its Responses API in public preview on October 28, giving developers building OpenAI-format agent pipelines ...

Overview: Recent Indian hiring data highlights demand for Python, large language models, AI agents, and retrieval systems in ...

Migrate an MCP server to SDK v2 in Python and TypeScript: rename FastMCP, run the codemod, add tests, serve over HTTP. 12 ...