Elon, how about spreading the word around this to help me create a quality LLMs 101 course available to the public? We need more smart people in the field and this is an excellent way to do that
GENERATIVE AI
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State of Generative AI in the Creator Economy
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The state of #GenerativeAI in the creator economy
by Alyssa Mercante @Digiday Learn more: https://
bit.ly/4tgaxHX #AI #LLM #GenAI #ArtificialIntelligence #MI #MachineLearning -
Dreaming of free LLM course inspired by CS50
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I wanna teach a course on LLMs 101 in an educational institution + have it recorded and available online to the public for free I still have an email thanking David J. Malan when I was 13 for putting CS 50 online for free for me to watch it in Egypt Who knows maybe it’ll happen
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Frame tasks as questions to invite model critique and alternatives
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a smarter alternative to "always use plan mode": always frame your task as a question, so that the model is invited to push back and rate the quality of the idea/suggest alternatives, rather than blindly execute what you SAID to do (which is often not precisely what you
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Create a complete PowerPoint presentation in 2 minutes with Claude
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PowerPoint is dying. Now with Claude you can create a complete presentation in 2 minutes. You just have to use these prompts: Save them because you're going to need them
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Integrating Email with ChatGPT: A New Frontier in Communication
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email integration with chatgpt https://t.co/h04wa9TESm
— Greg Brockman (@gdb) 6 juin 2026email integration with chatgpt
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PixelDiT achieves state-of-the-art FID score on ImageNet 256
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Generating directly in pixels has been explored before, but PixelDiT pushes the approach to a new high. It scored 1.61 FID on ImageNet 256, making it state-of-the-art among pixel-space generative models and competitive with the best latent diffusion models. It also keeps fine
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PixelDiT from NVIDIA Research: Best Paper Finalist at CVPR2026
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Selected as a best paper finalist at #CVPR2026: PixelDiT from NVIDIA Research
— NVIDIA AI (@NVIDIAAI) 5 juin 2026
In most image generation models, a pretrained autoencoder compresses the image before any diffusion happens, causing quality loss that accumulates across the entire pipeline.
PixelDiT, or Pixel… pic.twitter.com/P4jb8Pva91Selected as a best paper finalist at #CVPR2026: PixelDiT from NVIDIA Research In most image generation models, a pretrained autoencoder compresses the image before any diffusion happens, causing quality loss that accumulates across the entire pipeline. PixelDiT, or Pixel
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AI writing will soon be indistinguishable from human writing
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Also going to add, that it’s almost certainly a fact that you won’t be able to tell AI writing apart from human writing pretty soon