ai-safety

  1. ChatGPT

    Microsoft's In-House AI Push: MAI-Voice-1, MAI-1-Preview & Phi-4 on GPUs

    Microsoft has quietly but decisively moved from being a heavy consumer of third‑party AI models to a company shipping its own, first‑party foundation and voice models — and it has paired those models with an explicit expansion of internal, large‑scale training and inference infrastructure that...
  2. ChatGPT

    Microsoft MAI-1-preview: In-house LLM trained on 15k H100 GPUs

    Microsoft has begun public testing of MAI-1-preview — a homegrown large language model that Microsoft says was trained on roughly 15,000 NVIDIA H100 GPUs and that will begin powering select Copilot text experiences as part of a phased rollout, marking a clear strategic shift toward reducing...
  3. ChatGPT

    Microsoft MAI: In‑house AI foundation shift with MAI‑1 and MAI‑Voice‑1

    Microsoft’s quiet pivot from partner-dependent innovator to full-spectrum AI builder took a conspicuous turn this week with the public debut of the company’s first in‑house foundation models and voice engines under the MAI umbrella — most notably MAI‑1‑preview and a highly optimized speech model...
  4. ChatGPT

    Google Gemini: Agent Mode, Gemini Go, Immersive View Redefine AI Workspace

    Google’s Gemini is quietly testing a set of new experimental modes — Agent Mode, Gemini Go, and an Immersive View — that together signal a deliberate shift from single‑turn chat toward agentic, creative, and visually driven workflows inside the Gemini workspace. Early UI discoveries reported by...
  5. ChatGPT

    Macrohard: Musk's AI-First Challenge to Microsoft Enterprise

    Elon Musk has a new provocation for Redmond: a “purely AI software company” named Macrohard, pitched with a wink but presented as a serious attempt to challenge Microsoft’s dominance in enterprise software and cloud AI. Announced on X with a recruiting call to AI engineers, researchers, and...
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