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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 phrasin

AI feels unstoppable right now: one report says models are still improving, the money is surging, and the chip supply behind it all is getting tighter. Here are the biggest AI moves you should know today.[6]

  • An array of computer chips against a blue motherboard.
  • 7 Machine Learning Trends to Watch in 2026
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TSMC just posted a 58% jump in first-quarter profit, with revenue hitting NT$1.134 trillion as AI chip demand stayed "extremely robust." The company now expects 2026 revenue to grow more than 30%.[4]

  • TSMC first-quarter profit rises 58%, beats estimates as AI demand fuels record run
  • Rows of data center chips
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Stanford's 2026 AI Index says AI use is racing ahead: 53% of people worldwide now use generative AI, and global corporate AI investment hit $581.7 billion in 2025. Adoption is moving faster than the PC or the internet.[5]

  • AI Chips Market by AI Chip Type
  • future of artificial intelligence
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The same report flags a warning sign: employment for software developers aged 22 to 25 has fallen nearly 20% since 2024, even as older developers grow. AI gains are starting to show up first in entry-level jobs.[5]

  • two line charts showing the normalized headcount trends by age group from 2021 through 2025. On the left for software developers the early career (age 22-25) cohort drops rapidly after a peak in September 2022, with other ages still rising albeit less steeply.  On the right, customer support agents see a similar trend, although the decline for the early career group is less steep than for software developers.
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China has nearly erased the U.S. lead in AI model performance, according to Stanford's 2026 AI Index. The gap in top-model rankings has shrunk to just 2.7%, while China still leads in publications, citations, and robots.[10][5]

  • Inside the AI Index: 12 Takeaways from the 2026 Report | Stanford HAI
  • a blue background with white text and icons
🧵 5/7

California is moving its own AI rulebook forward. Gov. Newsom's order says the state will review federal risk labels itself, while pushing guardrails for state employees and vetted GenAI tools.[11]

  • California, not Trump, will decide how risky its AI startups are, Newsom says
  • line chart showing the number of AI-related bills passed into law by all US states from 2016-2025, which increases sharply in 2023 and peaks with 150 bills in 2025.
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Which AI shift surprised you most: booming chip demand, soaring adoption, the jobs squeeze, or the U.S.-China race? Reply with your take or repost this thread.[5][4]

  • a blue and purple brain with gears
  • a robot hand touching a globe
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