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Introducing GPT-Live, a new generation of voice models for natural human-AI interaction. Rolling out in ChatGPT starting today. GPT-Live makes talking with AI feel like having a real conversation. It’s also our smartest voice model yet. It’s built on a full-duplex architecture, meaning it can listen and speak at the same time. This allows the model to engage in more natural back-and-forth, maintain a better sense of time, and even perform live translation. A good voice model should be enjoyable
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GPT-6 Astra is here, and it might be one of the most important AI releases yet. OpenAI says the model hits 98% on FrontierMath Tier 4, 99.9% on ARC-AGI 3 and a perfect 100% on ExploitBench. It also shows big improvements in computer use, science, coding, cybersecurity and professional work. What’s really interesting for humanoid robotics is what happens when this kind of stronger reasoning gets closer to the physical world. A humanoid needs way more than just good locomotion. It has to understan
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TikToktechniahqrobot
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There's a massive AI problem for companies that sell advice. Firms like McKinsey and Deloitte bill for hours and for what they hand over at the end: the research, the strategy, the slide decks, the training. AI cuts the hours it takes to make all of it, and the templates a new MBA follows can go straight into an AI. People will still want the deck, and plenty will still pay someone to make it. The squeeze is headcount, because the product no longer pays for that many people. More on AI and how w
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AI Tools for Students: How to Study Smarter (Without Cheating) The best AI tools for students help students; they don’t do the work for them. They summarize research, organize notes and maintain students’ academic integrity. Instead of using AI to cheat, students can use it as a collaborative study partner that helps them write better and learn faster. Key Takeaways ⭐ ⭐ Don’t outsource thinking: AI models should be interactive study buddies, not passive homework completers. ⭐ Verify AI answers:
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TikToklorka.ai
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Knowing the difference helps you design better AI systems instead of just memorizing buzzwords. Here’s a quick cheat sheet: • RAG vs Agentic RAG – RAG retrieves information once before generation. Agentic RAG can reason, use tools, perform multiple retrieval steps, and refine its search based on intermediate results. • Vector Database vs Graph Database – Vector databases retrieve semantically similar information using embeddings. Graph databases model entities and explicit relationships, making
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TikTokjam.with.ai
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