The AI knowledge 99.9% of people never discover
An arXiv paper uses LLMs with a multi-stage verifier to fix losing quantitative trading strategies, lifting average Sharpe from -0.298 to 0.538.
NVIDIA and Hugging Face shipped an open-source tool that fine-tunes video and image diffusion models across GPU clusters with no checkpoint conversion
New arXiv preprint introduces malcos, a tool that auto-extracts leakage contracts from black-box x86 and ARM CPUs, cutting manual security analysis.
Unreviewed preprint proposes two-layer secret sharing for federated learning, cutting communication 100x at 100 users and removing server data forwarding.
New arXiv preprint shifts MCP security from guessing at tool risk to watching real execution, reporting 523 findings across 326 live servers.
A new arXiv paper uses cognitive psychology's set-shifting concept to test whether LLM agents adapt when reliable tools silently change mid-session.
A new clustering-based feature selection method matches standard accuracy for wind and solar forecasting while cutting compute cost 21%, with open-source
A new arXiv preprint introduces an Information Flow Graph monitor that stops AI coding agents secretly weakening security before deployment.
A new arXiv framework cuts transportation management AI costs 97% by mixing open-source and closed APIs, with a greedy heuristic that picks the cheapest
