I first asked it to create a workout plan as a separate text interaction up front – I gave it some of my preferences, goals, etc. and asked for a weekly plan. Then I asked to illustrate the week, and the individual days after.
@karpathy
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AI Creates Personalized Weekly Workout Plans and Printable Posters
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I asked it to create a personalized weekly workout plan, and then posters that I can print on the wall to remind me what exercises to do each day. Tuesday looks more intense because I asked for "more testosterone" :D.
(sorry I'll stop posting more nano banana pro stuff now) -
Intelligent Canvas: The GUI Evolution for LLM Interaction
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Imo this is along the lines of how talking to an LLM via text is like typing into a DOS Terminal and "GUI hasn't been invented yet" of some of my earlier posts. The GUI is an intelligent canvas.
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Gemini Nano Banana Pro Solves Exam Questions from Image
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Gemini Nano Banana Pro can solve exam questions *in* the exam page image. With doodles, diagrams, all that. ChatGPT thinks these solutions are all correct except Se_2P_2 should be "diselenium diphosphide" and a spelling mistake (should be "thiocyanic acid" not "thoicyanic") :O
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AI Generates Handwritten Math Solutions from Images
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I confirmed that it works. Prompt was the starting image and "Fix this math problem and generate updated image in my handwriting"
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Next AI Version Promises Trivial Extrapolation Capabilities
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I mean it's just incredible. Not because of this version but the next one. The extrapolation in your head is now trivial.
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AI Models Ranking Systems Through Anonymous Pairwise Evaluation
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I don't know if this is right because the models rank all of each other's work fully pairwise (and anonymized) and seem to agree on the ranking.
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LLM Council Web App Dispatches Queries to Multiple Models
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As a fun Saturday vibe code project and following up on this tweet earlier, I hacked up an **llm-council** web app. It looks exactly like ChatGPT except each user query is 1) dispatched to multiple models on your council using OpenRouter, e.g. currently: "openai/gpt-5.1",
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AI-Generated Content Quality: Distinguishing Signal from Noise
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Great reference ty. It still doesn’t get at more of theory of slop. As data lacking of insight. Filler. Something that “type checks” as information but isn’t. Style without substance. As something that, when attended to or trained on, does not aid compression of a world model.