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Kshitij Mishra | AI & Tech retweeted
All Paid Courses (Free for First 4500 People) 𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 1) 1. Artificial Intelligence 2. Machine Learning 3. Prompt Engineering 4. Claude,Chatgpt,Grok 5. Data Analytics 6. AWS Certified 7. Data Science 8. BIG DATA 9. Python 10. Ethical Hacking (72 Hours only ) Like + RT + comment ' Send ' Must Follow me so I can DM you.
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How To Speak Clearly (late 2026 edition)
Okay, this is getting weird. Tavus gave me early access to Griffin. I genuinely forgot I was talking to AI for a moment. It can see, hear, react, interrupt and respond in real time. 45% of people in their Turing test thought it was a real person. AI just entered a very different phase.
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Best accounts to follow from each frontier lab to stay constantly up to date Anthropic @karpathy - must-follow account for AI; recently joined Anthropic @bcherny - Claude Code creator, always shares great tips @trq212 - also a Claude Code developer; writes amazing articles on CC OpenAI @polynoamial - works on reasoning research, shares a lot of technical details @gabriel1 - Sora developer, great career path @jxnlco - works on dev experience, shares a lot about Codex Google AI @OfficialLoganK - all the major Google Gemini and AI Studio updates @ammaar - product and design; shares great things about vibe-coding in Google AI Studio @fofrAI - cool use cases for generative models Cursor @leerob - the loudest voice behind Cursor updates @ericzakariasson - shares great insights on using Cursor @mntruell - Cursor’s CEO; major releases and usage updates xAI @DAIEvolutionHub - ex-MSFT, covers all ai content and free resources @milichab - recently joined xAI, shares updates on Grok @skcd42 - also covers major Grok releases
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Google Brain founder Andrew Ng: "Prompting will be dead in 6 months Agent harnesses built with loops and graphs will replace it" Agent → Harness → Feedback → Loops → Graphs → Self-Improving Systems In this 1-hour Stanford lecture, he explains what the best engineers are building instead and how you can start today Prompt → Run → Verify → Improve The first 20 minutes teach what most $1,500 courses try to sell you For free Bookmark and watch it today
Okay, this is getting weird. Tavus gave me early access to Griffin. I genuinely forgot I was talking to AI for a moment. It can see, hear, react, interrupt and respond in real time. 45% of people in their Turing test thought it was a real person. AI just entered a very different phase.
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Bill Gates says AI crossed a major milestone sooner than he expected. Late last year, he realized Claude’s coding capabilities had surpassed his own ability to write code. What makes this interesting is not just the coding ability. It’s how quickly these capabilities reached a level that even experts expected to arrive later. From being amazed by ChatGPT before its public release to seeing AI outperform his own coding skills, Gates says these technological thresholds are arriving faster than he anticipated. The pace of AI progress is becoming harder to ignore. Watch the clip and see what Bill Gates had to say.
Okay, this is getting weird. Tavus gave me early access to Griffin. I genuinely forgot I was talking to AI for a moment. It can see, hear, react, interrupt and respond in real time. 45% of people in their Turing test thought it was a real person. AI just entered a very different phase.
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Sam Altman just gave a glimpse into how quickly AI reasoning is improving. In a conversation with Salesforce CEO Marc Benioff, he described the progression like this: GPT-5.5 → around the level of an average math professor GPT-5.6 → closer to the top 1–2% of math professors Astra → slightly beyond that Next internal model → reportedly solving problems even the best mathematicians struggle with The interesting part isn’t just the benchmark. It’s how quickly the baseline keeps moving. AI reasoning is improving from answering questions to tackling problems that were previously considered extremely difficult. The next generation of AI could look very different from what we use today. Watch the clip. Follow @DAIEvolutionHub for more AI updates, tools, and practical resources.
Okay, this is getting weird. Tavus gave me early access to Griffin. I genuinely forgot I was talking to AI for a moment. It can see, hear, react, interrupt and respond in real time. 45% of people in their Turing test thought it was a real person. AI just entered a very different phase.
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This 50-minute lecture by Jeff Bezos will teach you more about business than a 2-year MBA program. Bookmark it and give it 50 minutes today, no matter what.
Okay, this is getting weird. Tavus gave me early access to Griffin. I genuinely forgot I was talking to AI for a moment. It can see, hear, react, interrupt and respond in real time. 45% of people in their Turing test thought it was a real person. AI just entered a very different phase.
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Okay, this is getting weird. Tavus gave me early access to Griffin. I genuinely forgot I was talking to AI for a moment. It can see, hear, react, interrupt and respond in real time. 45% of people in their Turing test thought it was a real person. AI just entered a very different phase.
Introducing Griffin, the first model to pass the video Turing test. 48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video. It’s the first Human Interaction Model (HIM).
Community note
The 48% figure and "video Turing test" claim are from Tavus's own study of 54 one-minute calls, not independently verified or using a standard protocol. Griffin-Lite leads NVIDIA's VideoFDB benchmark on their public leaderboard. cellcog.ai/blog/tavus-gri… research.nvidia.com/labs/amri/proj… tech-ish.com/2026/10/02/tav…
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Elon Musk runs a 5-step first-principles algorithm for any problem: first, question and fix dumb requirements; second, delete any part or step you can (if you're not adding back 10%, you didn't cut enough); third, simplify and optimize what remains. Only then do you speed it up, and finally automate it. The order is critical : "the most common mistake of smart engineers is to optimize a thing that should not exist," so never optimize, accelerate, or automate something before trying to delete it. Watch this video fully to understand it more
Dyna-2 was trained on over a million hours of people doing things on video. now it's running a laundry room
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Learn AI for free directly from top companies. 1 - Anthropic: anthropic.skilljar.com 2 - Google: grow.google/ai 3 - Meta: ai.meta.com/resources/ 4 - NVIDIA: developer.nvidia.com/cuda 5 - Microsoft: learn.microsoft.com/en-us/tr… 6 - OpenAI: academy.openai.com 7 - IBM: skillsbuild.org 8 - AWS: skillbuilder.aws 9 - DeepLearning.AI: deeplearning.ai 10 - Hugging Face: huggingface.co/learn follow me if you find this helpful.
Dyna-2 was trained on over a million hours of people doing things on video. now it's running a laundry room
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The AI agent era is getting very real. Hedra just made its vision models accessible directly through MCP + CLI. That means your agents can now create, improve, and deploy visual models without leaving your workflow. Claude Code + Hedra is a pretty wild combination. This is where AI stops being just text and starts becoming truly multimodal.
Hedra MCP + CLI are live: the first step toward our platform for building, improving, and deploying vision models. Connect Claude Code, ChatGPT, Hermes, or your own agents to Hedra's image, video, and world models, right where you already work. Docs 👇
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Claude FULL COURSE 1 HOUR (Build & Automate Anything)
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List of 15 best AI researchers on X: @karpathy — Andrej Karpathy @rasbt — Sebastian Raschka @AndrewYNg — Andrew Ng @drfeifei — Fei-Fei Li @demishassabis — Demis Hassabis @GaryMarcus — Gary Marcus @DAIEvolutionHub — Kshitij Mishra @maximelabonne — Maxime Labonne @chipro — Chip Huyen @ilyasut — Ilya Sutskever @thsottiaux — Thibault "Tibo" Sottiaux @bcherny — Boris Cherny @geoffreyhinton — Geoffrey Hinton @JeffDean — Jeff Dean, @fchollet — François Chollet
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This 50-minute lecture by Jeff Bezos will teach you more about business than a 2-year MBA program. Bookmark it and give it 50 minutes today, no matter what.
Dyna-2 was trained on over a million hours of people doing things on video. now it's running a laundry room
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50 AI tools that will save you hundreds of hours in 2026. 🤯 1. Gamma — try.gamma.app/rxvp3qlex13h 2. Perplexity — Research anything 3. PortfolioTab — Create your portfolio 4. Kling AI — Create AI videos 5. Tripo AI — Create 3D models 6. Gemini — Perfect writing 7. CapCut — Edit videos 8. The AI Library — Discover useful AI tools 9. YouLearn — Summarize YouTube videos 10. Canva — Design graphics 11. ElevenLabs — Clone voices 12. Podcastle — Edit podcasts 13. ChatGPT — Brainstorm ideas 14. NotebookLM — Analyze documents 15. Lovable — Build web apps 16. Bolt new — Generate full-stack apps 17. Cursor — AI coding assistant 18. Windsurf — AI software development 19. Replit — Build apps in your browser 21. HeyGen — Create AI avatar videos 22. Synthesia — Generate AI presenter videos 23. Midjourney — Generate AI art 24. Ideogram — Create images with text 25. Runway — AI video editing 26. Pika — Generate AI videos 27. Luma AI — Create cinematic AI videos 28. Leonardo AI — Create game assets & artwork 29. Figma AI — Design UI/UX 30. Framer AI — Build websites 31. Tally — Create smart forms 32. Otter ai — Transcribe meetings 33. Fireflies ai — AI meeting notes 34. Granola — AI meeting assistant 35. Wispr Flow — Voice-to-text 36. Zapier — Automate workflows 37. Make — Connect apps with automation 38. n8n — Open-source automation 39. Photoroom — Edit product photos 40. Remove bg — Remove image backgrounds 41. Suno — Generate AI music 42. Udio — Create original songs 43. DeepL — Translate accurately 44. Poe — Access multiple AI models 45. Grok — Real-time AI assistant 46. Genspark — AI super agent 47. Manus — Autonomous AI agent 48. Elicit — Research papers faster 49. SciSpace — Understand research papers 50. Notion AI — Write and organize notes ✅ Save this list—you'll probably use it more than you think.
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Dyna-2 was trained on over a million hours of people doing things on video. now it's running a laundry room
We are releasing Dyna-2.1, the first Physical Agent that achieves reliable super long-horizon whole-body autonomy. It combines our brand-new semi-humanoid hardware with an agentic system built around Dyna-2 to handle ultra-long real-world workflows. Here is an uncut footage of Dyna-2.1 completing an entire hour-long laundry room workflow, just like a human does.
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$668M Series B is a massive milestone. GMI Cloud is scaling GPU infrastructure across the U.S., Taiwan and APAC. And 9x contracted ARR growth since the end of 2025 is even more impressive. Big things ahead for @gmi_cloud and @alex_yehya. 🔥
Announcing our $668M Series B! Led by ARCHIV with participation from @nvidia. This capital expands our GPU capacity across the U.S., Taiwan, and APAC, and scales our inference platform. Our contracted ARR has reached more than 9x since the end of 2025. Thanks to everyone who is building with us 🙏
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Imagine checking jobs the same way you check restaurants on a map. “Okay, what’s hiring around me?” 😂 That’s basically what caught my attention about @hirist_tech Job Map.
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This is how you make a brand commercial feel like an actual moment, not an ad. 🔥
Got to help @harvey bring their first brand commercial to life. From concept to delivery in ~1 month and set to Ludacris’ “Stand Up.” Agreements make history.
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