Sebastian Raschka
LLMs literally transform, not disrupt.
Tech writers are missing out on a good pun.
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Carlos E. Perez
Almost everyone is wrong about GPT-4; we have civilization-wide denialism. It is not just the ignorant masses; the experts have got it all wrong! Even worse, they are the most vocal denialists! The proper model is that GPT-4 is an intuition machine, get https://t.co/YwWFpSSgPs… https://t.co/HMUTK08Idm
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Stephanie 🏹
it's okay to make adjustments to your daily routine. all that matters is that you're in balance and at peace. https://t.co/kOnjvhbkt2
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Carlos E. Perez
It's simple, few understand GPT-4 because most have the wrong models of cognition. Deep learning systems are artificial intuition machines and thus, GPT-4 is a consequence of artificial intuition. Get the free book on this framing: https://t.co/YwWFpSSgPs
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UnknownCollector
RT @OmletteMerve: GM!

Still haunted by this art piece πŸ‘€
One of the most iconic artworks for me from Synthetic MirrorsπŸͺž

β€œThe Other Side” by @GanWeaving is on @foundation 🌐 and waiting for your bidsπŸ”₯

LinkπŸ‘‡πŸΌ https://t.co/BI9RzNaC1B
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Stable Diffusion 🎨 AI Art
Happy dreaming about Dogosaraus #AIArt

#StableDiffusion2 / #StableDiffusion https://t.co/ufJJPvhXrs
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Inworld AI
#UnrealDevelopers, we have a special treat for you 🎁

Find out how easy it is to add #AI powered #NPCs and unscripted dialogue to your own #game by cloning the #UnrealEngine project!

Access the #Github repository for Origins and start #modding: https://t.co/J8sJapny6z https://t.co/4Ru7OoKJTA
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Marcel Pociot πŸ§ͺ
⏱ Tinkerwell 3.21 is now available and allows you to easily measure the time and memory consumption of your evaluated PHP scripts!

https://t.co/WhYQ5bKaBg https://t.co/oF6IVr62tC
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Carlos E. Perez
RT @mcxfrank: So of course I don't know the answer! But here are a few scenarios for thinking this through. Scenario 1 is classic nativist dev psych: innate endowment plus input make the difference. You use core knowledge to bootstrap concepts from your experience. https://t.co/ElRbYLXqiB
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Carlos E. Perez
RT @mcxfrank: The take-home here is that we are off by 4-5 orders of input magnitude in the emergence of adaptive behaviors. (That's the figure from above).

The big broad cognitive science question is - which factors account for that gap? I'll think about four broad ones. https://t.co/QZfUiwJO8X
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