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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 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.

Is AI really developing at breakneck speed? 🤔 Get ready for some eye-opening updates that could reshape the tech landscape! Let's dive into the latest developments.

  • Top 10 AI Trends to Watch in 2026
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🚀 **OpenAI's Bold Move**: OpenAI has launched GPT-5.3-Codex, its fastest coding model yet! It completes tasks 25% faster than previous versions. Could this redefine coding and development workflows? According to llm-stats.

  • AI Timeline
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🤖 **Tech vs. Ethics**: Anthropic refuses Pentagon's demand to lift safety checks from AI systems, emphasizing responsibility over military demands. What does this mean for AI's role in warfare and surveillance? As reported by The Guardian.

  • a hand on a laptop
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📈 **AI Measurement Challenges**: Experts at METR highlight the accelerating pace of AI development, noting models improve every seven months. Are we bracing for chaotic advancements? Insight from Sky News!

  • Nasscom ‌projects fiscal 2026 AI revenue from services firms around $10 billion to $12 billion, but clarified that this ‌does not include ​AI-specific revenues ​for all ​firms and revenues are set to rise ’significantly’ in the next few years.(Image: Reuters)
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🌐 **Healthcare Revolution**: AI companies are rapidly entering the healthcare space, with OpenAI acquiring Torch and Anthropic launching Claude for Health. Is AI the future of medical assistance? According to llm-stats.

  • NVIDIA Releases New Physical AI Models as Global Partners Unveil Next-Generation Robots
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Which of these AI advances surprises you most? Share your thoughts below! 👇

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