McG-221/Lucid-Shadow-31B-mlx-8Bit
Image-Text-to-Text • 31B • Updated
🔄 In a Training Loop
Barney Greenway
McG-221
AI & ML interests
LLMs on Apple Silicon
Recent Activity
updated a model about 1 hour ago
McG-221/Lucid-Shadow-31B-mlx-8Bit published a model about 1 hour ago
McG-221/Lucid-Shadow-31B-mlx-8Bit liked a model about 1 hour ago
Cyclone-Labs/Lucid-Shadow-31BOrganizations
updated a
model about 1 hour ago
published a
model about 1 hour ago
liked a
model about 1 hour ago
Good upgrade
❤️ 2
6
#2 opened about 9 hours ago
by 
redaihf
updated a
model about 1 hour ago
published a
model about 1 hour ago
reacted to SeaWolf-AI's post with 🧠🔥 about 13 hours ago
Post
5331
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 →
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.
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 →
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.
liked 2
models about 13 hours ago
liked a
model about 22 hours ago
updated a
model 1 day ago
published a
model 1 day ago
liked a
model 1 day ago
liked 2
models 2 days ago
updated a
model 2 days ago
published a
model 2 days ago
updated a
model 2 days ago
published a
model 2 days ago