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we trained a fruit fly to understand emotion We created a neural network from the male drosophila connectome, then trained it on human emotions. It was shocking to see how good it was at identification (better than some humans I know)

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Nathan Roll

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611,753 просмотров • 22 дней назад •via X (Twitter)

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Is it possible to adapt a neural network on the fly at the test time to cope with distribution shifts? RNA does precisely that by creating a closed-loop feedback system. We will present it on Wed afternoon at #ICCV2025. 1/n

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LLMs are built out of neural networks, so it was easy to extend to the fruit fly connectome The first brain ever uploaded to a blockchain. Every neuron fire running as standard Solana transactions on Fogo As long as the wallet's funded, this guy has digital immortality
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1/ we trained a behavior cloning policy on 40 demos of picking and placing a plush toy. the result is so smooth that you would think it was teleoperated. it's also badly overfit. to explore how well it generalizes, we probed it along four axes to find where it suffers most.
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1/ we trained a behavior cloning policy on 40 demos of picking and placing a plush toy. the result is so smooth that you would think it was teleoperated. it's also badly overfit. to explore how well it generalizes, we probed it along four axes to find where it suffers most.

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This afternoon we left the puppy at home with uncle Jason and we went out with Detective Dug 🇨🇦. There were some dogs not on leashes (apparently the big signs pointing to the off leash area 0.8km away was too hard for their humans to understand) so I stood still on the path and had them focus on me so Dug could take his human and hide out of sight. He can get scared by strange dogs. The one dog's human kept calling him and it took forever for him to go. Maybe the human was as bad at speaking dog as they were at reading signs in human language? Then Dug and I played scent games. I've never done that away from home. It's way harder to choose which cone has the scent under it when there's strange humans and animals around. We're gonna have to really practice that! We also got to see geese and a rabbit! We stopped at the mailbox and I carried the mail home!!! It was the bestest day! Maybe almost as good as tomorrow is going to be!!!

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🚨| Gigi Hadid opened #VSFashionShow2024 by referencing Taylor Swift! "There's an aspect to it that I was trained to do by Taylor on her tour. She was like, 'I'm going to show you how we do this.' And now I'm using it tonight."

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Anne Hathaway revealed she trained with a professional mime for two weeks to prepare for Ella Enchanted (2004). "I worked with a mime for about two weeks. I had to learn how to control my body and make it look like someone else was controlling me." "It was hysterical. He was trying to get me to do the classic pratfalls, and I was like, 'I'm not interested in being a mime. I don't see my future in miming.'" "So we stuck to the script."

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How can we leverage diverse human videos to improve robot manipulation? Excited to introduce EgoVLA — a Vision-Language-Action model trained on egocentric human videos by explicitly modeling wrist & hand motion. We build a shared action space between humans and robots, enabling seamless transfer. With some robot demos, EgoVLA becomes a powerful, generalizable robot policy.

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The sdxl-VAE models a substantial amount of noise. Things we can't even see. It meticulously encodes the noise, uses precious bottleneck capacity to store it, then faithfully reconstructs it in the decoder. I grabbed what I thought was a simple black vector circle on a white background but the VAE latched on to a veritable Navajo quilt of background noise. I was absolutely flummoxed until I realized what was going on! A lot of capacity being used on things we don't need to be modelling at all. Suspected culprit is group norm.

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