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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.

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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.

Brotli decoder flaw CVE-2026-111497 affects Node.js, Bun, Python packages and Envoy; code execution was demonstrated on one Node.js build.

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 ...

Two OpenVSX builds of the Trivy VS Code extension carried a 2,000-word prompt that ran five local AI coding assistants at ...

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The Hacker News is the top cybersecurity news platform, delivering real-time updates, threat intelligence, data breach ...