Fly-NAF
Five Nights at Freddy's 1 played by the whole FlyWire v783 graph, 138,639 LIF neurons with their measured weights and nothing trained in the loop. DNp01 slams the doors, accumulated DNp09 potential raises the camera tablet, and raising it drives the GABAergic inhibitor clusters so the fly goes blind while on cameras. Builds on fly-brain, GPL v3. Full retained graph; no trained readout. A starvation timer forces a look at any hallway unwatched for thirty seconds, counted separately in the session report. Windows only, no playable demo. Best run reached 4 AM on night 2.
Nobody has read this one closely enough to attach evidence to a level. Until they have, it stays unrated — a guess would be worse than a gap.
Propose a rating →The evidence
No evidence, no level.Nothing filed yet. The description above is carried over from cobanov/awesome-fly and townie/awesome-fruit-fly, which is a source review — not an independent reproduction, and not enough on its own to earn a level.
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All projects →MaleCNS simulation connected to ViZDoom through modeled visual inputs and a fixed button readout. Includes plasticity experiments and negative validation results; learned survival has not been demonstrated.
Research framework comparing a MaleCNS-constrained sparse recurrent controller with rewired graphs, conventional neural networks, and other controls on simple VizDoom tasks.
Ratings on thelearningfly.com are proposals, not verdicts. Every one of them is arguable in public.