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.
INT21's swarm started from the public release baselines of the Drama 3 model, testing code variants on NVIDIA B200 GPUs in a ...
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.
You built a Spanish-language game prototype that connects Groq speech-to-text, GPT-OSS 120B dialogue, and Azure AI Speech through a FastAPI backend. The work taught you to structure prompts with ...
Researchers have released bryne, an open-source Python framework built on DUNE-FEM that turns rapid finite element prototypes into reusable, metadata-rich and reproducible multiphysics simulations.
DEMATELab is a new open-source Python application that unites classical, fuzzy, grey and Z-number DEMATEL analysis with ...
AI agents that autonomously perform PC operations on your behalf are rapidly gaining attention among Mac users.By leveraging the high processing power of Apple Silicon, you can automate everything ...
Unlike traditional conversational AI, AI agents are a next-generation technology that autonomously makes decisions and takes ...
A new MIT CSAIL blog post is making the rounds in AI circles this week, and it describes something that sounds almost ...
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 ...
Everyone building AI agents has access to the same frontier models, so the model itself is no longer the differentiator. That is the central ...
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