Dimitris Fotis Sakellariou (@dsacellarius) profile picture

Founder/CEO @ Piramidal (W24). @ycombinator @KingsCollegeLon alum. Regaining unconsciousness.

New York
Joined December 2021
Photo by Dimitris Fotis Sakellariou (@dsacellarius)Photo by Dimitris Fotis Sakellariou (@dsacellarius)
foundation models from real brains are warm-start representations and rewards for robotics RL
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"How Cleveland Clinic Is Developing AI To Monitor The Brain" forbes.com/sites/innovationr… Super impressed by @dsacellarius and the Piramidal team. They are using EEG data to diagnose seizures and, longer term, understand a wide range of neurological diseases and health.
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Time isn't time, time is memory.
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Can't wait to get 8 hours of sleep in 10 minutes.
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Proud to partner with the Dept of Neurology at Cleveland Clinic to first benefit those that need it the most
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Is it knowledge itself that drives our desire to learn, or just the neural response it invokes while learning it.
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Piramidal’s foundation model for brainwaves could supercharge EEGs tcrn.ch/4dFTMPG
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(17/25) Piramidal (piramidal.ai): A foundation model for understanding brain activity, trained on a “colossal and diverse corpus” of brainwave data. They’ve been able to train a large model with lower computational costs by dividing sequential EEG data into chunks.
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Dimitris Fotis Sakellariou retweeted
Piramidal (W24) is building a foundation model for the brain. Imagine ChatGPT but for the “language” spoken by your neurons. Their first product is a copilot for epilepsy diagnosis that helps neurologists get insights around a patient’s EEG, in real-time: ycombinator.com/launches/KVc…
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“Don't you think dreams and the Internet are similar? They are both areas where the repressed conscious mind vents.” - Yasutaka Tsutsui
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Believe in Little Tech over Big Tech
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#RWKV: Reinventing RNNs for the Transformer Era arxiv.org/abs/2305.13048
Everyone knows that transformers are synonymous with large language models… but what if they weren’t? Over the past two years @BlinkDL_AI and team have been hard at work scaling RNNs to unprecedented scales. Today we are releasing a preprint on our work arxiv.org/abs/2305.13048
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📜🚨📜🚨 NN loss landscapes are full of permutation symmetries, ie. swap any 2 units in a hidden layer. What does this mean for SGD? Is this practically useful? For the past 5 yrs these Qs have fascinated me. Today, I am ready to announce "Git Re-Basin"! arxiv.org/abs/2209.04836
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