I added threat-models: ai to my CodeQL workflow. Now I want to think that if LLM output flows into SQL execution or a shell, ...

"Please improve an AI that is bad at math without additional training."When asked this, we usually think of adding training ...

MIT has unveiled an innovative, groundbreaking paradigm dubbed "Weight Space Programming", representing a transformative new ...

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 ...

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.

GP-03 climate-risk prototype with explainable scenarios and a Python-trained historical river-level backtest. Solo project by MD Zakir Hossain. - mdzakirhossen23/floodlens-bd ...

Researchers have released qmatmul, a Python package whose algorithm halves the floating-point multiplications needed for ...

While the statement "It's not that exaggerated" conveys a casual perception that a certain situation, claim, or phenomenon is ...

Nvidia's RTX Spark packs an NPU that we know very little about, but I was able to get it working.

B.E. CSE at Osmania University (2014-2018) and M.Tech CS / AI at SSSIHL. - saikrishnavadali05/Academic-CSE-Osmania-SSSIHL ...

Developer Divyansh Agrawal has released "Qwenputer," an experimental model that compiles a 32-bit RISC-V processor into the weights of Qwen3.5-4B.

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.