Researchers developed a mixed-integer linear programming model integrated with a Neo4j knowledge graph to dynamically ...
Semgrep Mandoline gives AI agents fast program analysis across 50 languages, so they spend tokens reasoning about code ...
This article is the implementation guide for stagnation and loop detection. The events at the beginning are hypothetical examples, and the thresholds, detection counts, and timeframes introduced are ...
AI SAST combines program analysis, dataflow tracing, and LLM reasoning to find logic flaws rule-based SAST misses. Learn how it works and how to evaluate tools.
Understanding their capabilities can help developers and blockchain businesses choose tools that better match their technical ...
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 ...
Can an LLM write a neural network that IS a benefits formula, exactly? Weight-space programming experiments on SNAP, EITC, SSI, and Medicaid arithmetic. - ctrimm/weight-space-programming ...
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.
A new MIT CSAIL blog post is making the rounds in AI circles this week, and it describes something that sounds almost ...
Foundry in the real world: Turning LLM hunches into verified findings – Security Loop Series, Part 2
See how Foundry turns LLM hunches into verified findings on Langflow, MLflow, and PyGoat, using an evidence gate and an honest look at token cost.
Tsinghua’s HarnessPro cuts AI coding agent costs 26% while boosting accuracy without model retraining. Factory Droid 1.0 ...
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