ScholarEvolve uses published research to improve AI agents, raising Qwen's AppWorld task completion from 69% to 81.4% without retraining the model.
Python Growth Record of a Local Government Official | Personal Best on 8th Attempt at Kaggle Titanic
I have been persistently challenging the Kaggle Titanic competition.Today, I reached my 8th submission.Once again, I didn't ...
Migrate an MCP server to SDK v2 in Python and TypeScript: rename FastMCP, run the codemod, add tests, serve over HTTP. 12 ...
Brotli decoder flaw CVE-2026-111497 affects Node.js, Bun, Python packages and Envoy; code execution was demonstrated on one ...
XDA Developers on MSN
Edge AI on the Raspberry Pi 5 made me realize this SBC can replace cloud models for half my projects
Even my Raspberry Pi 5 can host useful AI models ...
XDA Developers on MSN
Nvidia's RTX Spark has an NPU it barely mentions, and I spent a week figuring out what it actually is
Nvidia's RTX Spark packs an NPU that we know very little about, but I was able to get it working.
Researchers ran five models through Claude Code, OpenCode and mini-SWE-agent. Swapping harnesses changed scores no more than ...
In the previous installment (Vol. 4), the experiments with the portable compiler and the handover prompt were brought to a ...
Stanford's Meta-Harness lets an AI agent rewrite the code around a frozen model. How it works, what the results show and what ...
OpenHands local setup in 12 steps: run Agent Canvas with Ollama and a local Qwen model in sandboxed Docker, plus a preflight ...
And I kept looking at that dictionary and thinking: nobody is allowed to just use that for compression? TokPress is a ...
Learn how to orchestrate Claude, Codex, and Groq into a concurrent AI engineering team using Git worktrees, rapid QA loops, ...
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