quantfit 0.5.1
Quantize an LLM and check it still refuses what it should — a GPU-aware quantization CLI that measures the safety drift of the quantization it just performed.
Quantize an LLM and check it still refuses what it should — a GPU-aware quantization CLI that measures the safety drift of the quantization it just performed.

Across 810 conversations, an evaluation framework finds that AI chatbots often amplify simulated users’ psychological vulnerabilities, revealing persistent safety risks in mental health contexts.
Local-first AI coding agent runtime: async backends (native + aider), persistent memory, MCP, fail-closed safety gates.

The Chinese government has released new mandatory national standards regarding the safety requirements of autonomous driving systems. Nothing needs to be done urgently, as the new standards don’t go into effect until July 1, 2027. The standards apply to M- an…
Open-source Python quantitative finance MCP server for US stock and ETF research, options analytics, implied volatility, Monte Carlo simulation, AI prediction, backtesting, and risk analysis.