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🔥 World Premiere #listing# 🌠 $FLYBRAIN (flybrain) will be listed on LBank! flybrain (FLYBRAIN) is a MEME token deployed on robinhood. ❤️ Details:
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One of the best trenchers I know keeps selling 100x runners for a small win or even for a loss because of their bear market PTSD They had PONS at $3m, STONKS at $6m, flybrain $200k and many other big runners recently They feel like shit because of the missed opportunities. I told them I’m impressed that you’re on all these early runners and it’s only a matter of time until they hit big Shake the Bear market PTSD off & start holding. The best is yet to come Lock in season
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A fly brain is about to get a body.
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We placed the fruit fly brain inside Odyssey-3, a frontier world model. The lil’ guy is now flying around totally imagined, simulated worlds all by itself 🫶
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Jev-pilled son or fly brain neural net daughter
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Odyssey says it connected a simulated fruit-fly brain to Odyssey-3, allowing it to navigate environments generated entirely by the company’s AI world model. Odyssey-3 is designed to create interactive simulated worlds where AI agents can act and learn from their surroundings. Odyssey (Via @odysseyml)
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BREAKING: LP's have begun training the fly brain to invest a venture capital fund, already tracking at top decile returns
Introducing FlyOCR 🪰 - I trained a fly brain to read a PDF It uses the full MaleCNS v1.0 fruit fly connectcome. The architecture is inspired by doomfly by @wormuth The fly splits a pdf image into individual glyphs, maps pixels into receptor activations, runs simplified current-based dynamics across the 166k neurons and 25m edges in the circuit, applies a compact readout model on the downstream spikes, and concatenates everything into the parsed output. On reading an actual Microsoft 10-k, the fly gets ~86% over the balance sheet heading, but is largely able to read the numeric values correctly. Over 1.7k+ sampled glyphs (chars+digits) it gets 87% accuracy. With enough training it might match some of the latter-generation MNIST models! Maybe eventually we’ll replace our doc parsing VLMs with flies. Full video below. Repo with full code + report:
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Agentic Flynance. We trained a simulated fruit fly brain to review expenses by changing just 4,184 weights. A vision model reads the receipt, then the fly decides whether to approve it. Give it a fly 🪰
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