There’s no mechanism for free will. “I” is a post-hoc story we tell ourselves and others to explain the actions that we didn’t decide to take. Consciousness is that process happening in real time.

I created a million-dollar Pixar-quality short in just 8 days using AI. Workflow: nano banana midjourney seedance kling 2.5 Suno Elevenlabs I also tested Sora 2…and the results were surprising (see below) Excited to finally share this! 🧵

apps.apple.com/us/app/vessel… Wrote about the some of the core features of my journaling app Vessel

This is such a sad loss. Go and leave a comment telling youtube to put it back up 😭😭😭 youtu.be/dQw4w9WgXcQ?si=3-lM…

some ppl really ruin their lives trying to experience third person feelings in the first person

Generate melodies with MusicGen & Transformers, but faster! ⚡️ import torch from transformers import pipeline pipe = pipeline("text-to-audio", "facebook/musicgen-small", torch_dtype=torch.float16) pipe("upbeat lo-fi music") That's it! 🤗

Pokémon Go for real-life creatures! 📸🦆 GPT-4V taking it next level! It was fun hunting down this hadeda for the demo! Dodged a few sprinklers too. Catch em all 🕺 Game drives will never be the same 🦁🦏🐆 #GPT4V #GPT4 @OpenAI

hey sorry I missed your text, I am processing a non-stop 24/7 onslaught of information with a brain designed to eat berries in a cave

History of neural networks within the realm of LLMs. From the first ideas to the first real-world application of neural networks ▪️ First ideas ▪️ Backpropagation ▪️ CNNs ▪️ First real-world application Get ready for a historical thread like no other.

I'm delighted to start putting up writing and technical content at a new blog called Variable Expectations! variableexpectations.com/ In it I will be writing about a fascination of mine, building algorithmic tools for discovery in the natural sciences. 1/

This one is so much better than the spiral for me. Probably some weird brain thing.

these people have annoyed me, so here's their entire prompt

ControlNet with LoRa thanks @StabilityAI The weights are on our ComfyUI demo, try it now Space: huggingface.co/spaces/Spaces… model: huggingface.co/stabilityai/c…

Clever ad from WWF-Germany: “Protect our wildlife / animal species, before it’s too late” #extinction #ThreatenedSpecies  #Twitter #TwitterBird #TwitterX

Incredible: Google announces it rebuilt its robotics division around LLMs the same day the "possibly unfixable" "mother of all LLM jailbreaks" was announced. “Google is plugging LLMs into robots, giving them … artificial brains. The secretive project has made the robots far smarter and given them new powers of understanding and problem-solving.” "A one-armed robot stood in front of a table. On the table sat three plastic figurines: a lion, a whale and a dinosaur. An engineer gave the robot an instruction: “Pick up the extinct animal.” The robot whirred for a moment, then its arm extended and its claw opened and descended. It grabbed the dinosaur. Until very recently, this demonstration would have been impossible. Robots weren’t able to reliably manipulate objects they had never seen before, and they certainly weren’t capable of making the logical leap from “extinct animal” to “plastic dinosaur.” If you’re the kind of person who worries about A.I. going rogue — and Hollywood has given us plenty of reasons to fear that scenario, from the original “Terminator” to last year’s “M3gan” — the idea of making robots that can reason, plan and improvise on the fly probably strikes you as a terrible idea. But at Google, it’s the kind of idea researchers are celebrating. After years in the wilderness, hardware robots are back — and they have their chatbot brains to thank."

Immediate infighting over credit is by far the biggest green flag I've seen that this is totally legit. AI, superconductors, now all we need is for someone to make a fully functional genetic compiler and we'll have achieved the Perfect Science Fiction Year.

New working paper quantifying arXiv publication patterns in the age of LLMs! Joint work with @rajivmovva, @sidhikab1, @kennylpeng, @gsagostini, and @NikhGarg. We analyze LLM citation patterns, fastest growing topics, many other things. Some of our findings: 1/N

This is not an email I ever expected to receive or send.

Nandi and I showed that you can write any deep ReLU neural network as a shallow one. This makes them more interpretable, provides a canonical representation, and may pave the way to understanding their expressive power Looking forward to your thoughts! arxiv.org/abs/2306.11827