Key Highlights
- MiniMax ships M2.7 for agentic workflows — a sparse mixture-of-experts model with 230B parameters (only 4.3% active per token) optimized for reasoning, software engineering, and office automation on NVIDIA Blackwell GPUs
- Sam Altman addresses New Yorker profile and home attack — the OpenAI CEO pushes back on an investigative piece questioning his trustworthiness, while also disclosing a security incident at his residence
Analysis & Opinion
Sam Altman Responds to ‘Incendiary’ New Yorker Article After Attack on His Home — TechCrunch
The OpenAI CEO addressed two converging events: an apparent physical attack on his residence and an in-depth New Yorker profile raising concerns about his character and business practices. Altman’s blog post attempts to counter the investigative narrative while acknowledging the security incident — a rare moment where personal safety and public perception collided for a major AI company leader.
New Products & Tools
MiniMax M2.7 Advances Scalable Agentic Workflows on NVIDIA Platforms — NVIDIA
MiniMax releases M2.7 with open weights, building on the M2 family’s sparse mixture-of-experts architecture — 256 local experts, 8 active per token, 200K context length, all at a 4.3% activation rate to keep inference costs low. NVIDIA and open-source communities integrated optimized kernels into vLLM and SGLang, achieving up to 2.7x throughput improvements on Blackwell GPUs within a month.
References
- Sam Altman Responds to ‘Incendiary’ New Yorker Article After Attack on His Home — TechCrunch, 2026-04-11
- MiniMax M2.7 Advances Scalable Agentic Workflows on NVIDIA Platforms — NVIDIA, 2026-04-11