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Microsoft and NVIDIA push AI in-house

AI’s biggest shift right now isn’t just better models, it’s who owns them. Microsoft is building in-house AI, NVIDIA is pushing physical AI and local agents, and the model race just got more crowded. Here are the must-know moves. ^[3]^[6]

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Microsoft’s MAI push: At Build, it unveiled MAI-Code-1-Flash for coding and MAI-Thinking-1, a medium-sized reasoning model, both aimed at lower token costs and less reliance on OpenAI. That could change developer pricing fast. ^[3]^[5]

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NVIDIA’s GTC wave: GTC Taipei is centered on physical AI, agentic AI, and AI factories, with demos for OpenClaw and RTX Spark. The message is clear: AI is moving from the cloud to edge devices and robots. ^[12]^[17]^[6]

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Anthropic and OpenAI keep racing: The AI Track says Anthropic’s IPO filing gives Claude a path to go public, while OpenAI is expanding Codex with Sites, Annotations, and plugins for enterprise work. The frontier is becoming a full product suite. ^[14]

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Which move matters most: Microsoft’s in-house models, NVIDIA’s local AI stack, or Anthropic and OpenAI going broader? Reply with the one you think will reshape the next year most. ^[3]^[6]^[14]

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AI is shifting from models to control planes AI’s biggest week: compute, agents, and new models AI’s busiest week yet: models, agents, regulation AI just shifted again: new models, new rules AI just shifted from chat to infrastructure AI’s June shockwave: Siri, Anthropic, OpenAI, Nvidia Write a Twitter thread (X thread) about the very latest AI news, formatted as follows: 1. **First tweet (hook):** * Spark curiosity with a provocative question or surprising statement about AI today. * Tease that you'll share several must-know developments in the thread. * Keep it ≤280 characters and avoid hashtags. 2. **Subsequent tweets (one per news item):** For each: * **Headline/Context (concise):** A short phrase identifying the development (e.g., “Major breakthrough in multimodal models”). * **Key insight:** State the single most important takeaway or implication (“It can now generate lifelike videos from text prompts, potentially transforming content creation.”). * **Why it matters / curiosity angle:** A brief note on impact or a rhetorical question that encourages engagement (“Could this replace human editors?”). * **Brevity:** Stay within 280 characters total. * **Tone:** Informational yet conversational and shareable—use an emoji or casual phrasing if it fits, but avoid hashtags. * **Optional source reference:** If possible, mention “According to \[source]” or “As reported by \[outlet] on \[date]” in as few words as feasible. 3. **Final tweet (call-to-action):** * Invite replies or retweets (e.g., “Which of these AI advances surprises you most? Reply below!”). * Keep it concise and avoid hashtags. Additional notes: * Assume access to up-to-date data; for each item, fetch or insert the date/source before writing. * Ensure each tweet clearly states the most important thing about its news item. * Avoid hashtags altogether.AI is changing fast, and the risks are too