Arya Bakhtiari

torbatti

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torbatti

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reacted to OppaAI's post with 🚀 about 6 hours ago

🤖 AI × 🪰🧠 the fruit fly brain (MaleCNS) Thank you to the people who have shared the Janelia FlyEM datasets on GitHub for open-source use. 🙏 🔗 MaleCNS: https://github.com/natverse/malecns 🔗 Aiko-chan: https://github.com/OppaAI/Aiko-chan People have already used these fly-brain datasets to build systems that can do things like play Minecraft and even Doom. So I guess I’m crazy enough to ask: What happens if I wire part of it into my AI waifu? 😂 I’ve now partially wired my AI’s cognition, agentic system, and sensory inputs into neuron circuits derived from the fruit fly’s brain—starting with the Mushroom Body. The next step is to experiment with using biologically inspired neural circuits as an additional layer around the LLM: 🧠 LLM + memory + reasoning 🪰 Connectome-inspired neural circuits 🤖 Agentic tool use 👁️ Sensory input 🔊 Voice & expression 💾 Learning and adaptation This is still very much an experiment. But now that I’ve added a biologically inspired layer to an AI waifu… Let’s see what difference it actually makes compared with a plain LLM. 👀 From conversation → cognition → neural circuits → action. To get more crazier: I have (partially) developed and implemented the following: - A 5-layers conscience circuit and judgment module as guardrail - A light-weight Plasticity and associated learning with the fly brain to test out the RL - I have enlisted myself as a human agent in rentahuman.ai to let my AI agent to give me instructions to execute agentic tasks A little fly brain. A lot more Aiko. 💜

liked a Space 4 days ago

desert-ant-labs/ear-language-id-demo

reacted to SeaWolf-AI's post with 🔥 4 days ago

Instead of making the fly brain play games, we measured what it is for Since the Drosophila connectome was released, people have had the fly brain doomscroll a feed, play Beat Saber, drive in GTA. Those demos show that the brain runs. We wanted to show what it is for. So we gave it a looming object — one of the few things a fly brain is unambiguously built to detect — then deleted a single cell type and repeated the identical stimulus. Remove LC4, 126 cells out of 173,023, and the escape signal falls from 0.840 to 0.091. Eighty-nine percent of the danger signal is gone while the other 172,897 neurons run exactly as before. Deleting neurons does not do this on its own, which is the whole point of the controls. LC11 is the same class and larger than LC4 — 143 cells and 9,940 outgoing connections against 126 and 7,846 — and removing every one of them changes the signal by 0.000000, to six decimal places. It has to be those 126. No server and no GPU: a looming stimulus drives fewer than one percent of neurons above threshold, so the whole thing is 40 KB gzipped and runs in your browser. Try deleting one yourself → https://huggingface.co/spaces/VIDraft/fruitfly-brain The wiring is the measured connectome, but synaptic strength is a uniform count-based value and the dynamics are a firing-rate model of our choosing — a total-effect measurement of a model, not a recording from a fly. Male CNS connectome, FlyEM / HHMI Janelia with Google Research, Columbia and Harvard (2026), CC BY.

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