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ChatGPT with Vision keeps impressing me more and more! I wanted to see if it could code the game Wordle by just providing one image for the instructions and one for the gameplay. It essentially code me the entire game in minutes.

Yann LeCun Geoffrey Hinton If humans were trained only on text input, would they truly understand the world? Although they might develop strong linguistic skills, they would struggle in areas such as spatial orientation. Like LLMs, they could understand text but would struggle w/ simple tasks like walking

Try it yourself if you don't believe me ¯⁠\⁠_⁠(⁠ツ⁠)⁠_⁠/⁠¯

🚨text to video progress in one year🤯 2023: 2024:

# automating software engineering In my mind, automating software engineering will look similar to automating driving. E.g. in self-driving the progression of increasing autonomy and higher abstraction looks something like: 1. first the human performs all driving actions

Andrej Karpathy Perhaps this is why, in the olden days, scientists such as Einstein and others were able to focus and come up with brilliant ideas, as they were not overwhelmed by an excess of information.

Ilya leaving OpenAI with GPT-5. x.com/CensoredMen/st…

#athousandbrains #jeffhawkins #ai #neuroscience

Where is Google And Why Is It So Behind? 🤔 Google has 1000x more resources, data and talent than any other start-up At some point, they were hiring 60% of all AI PhDs You would have expected them to be really dominating the LLM rat race! I am genuinely surprised at how

I asked an AI to show me how the Vikings lived, and now I'm pretty sure I'll have nightmares for life 🤯

This is interesting as a first large diffusion-based LLM. Most of the LLMs you've been seeing are ~clones as far as the core modeling approach goes. They're all trained "autoregressively", i.e. predicting tokens from left to right. Diffusion is different - it doesn't go left to

playing around with new camera Fuji X-H2s youtu.be/B91U_-6vaV0