New MiniMax M2.7 proprietary AI model is 'self-evolving' and can perform 30-50% of reinforcement learning research workflow

For direct API integration and via third-party provider OpenRouter, MiniMax M2.7 maintains a cost-leading price point of 0.30 dollars per 1 million input tokens and 1.20 dollars per 1 million output ...
Microsoft

Observability for AI Systems: Strengthening visibility for proactive risk detection

As AI systems grow more autonomous, observability becomes essential. Learn how visibility into AI behavior helps detect risk and strengthen secure development.
MUO on MSN

I gave my local LLM access to my files and it replaced three apps I was paying for

I gave AI my files. It gave me three subscriptions back.

Hirundo Uses NVIDIA NeMo Evaluator, CUDA, and GB200 NVL72 to Validate Breakthrough AI Safety Results Across Open-Source LLMs

NVIDIA NeMo Evaluator -- Model Diagnosis & Validation: Hirundo's diagnosis layer uses NeMo Evaluator to automatically benchmark LLMs before and after unlearning across safety and utility metrics, ...