flaukowski/gridlm-thegrid
AI model by flaukowski
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Model card & documentation
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thegrid (Matt Eckman, MIT) is an artificial-life lab. Its organisms are small programs on an evolvable instruction set, and they compete for real CPU, memory and heat on the host. Every birth goes into a fossil record. thegrid's own findings (tools/analyse/LESSONS.md) include this one: model-authored mutation founded nothing. 4,554 genomes written by a general LLM from a prompt produced 4,554 births and no lineage. Over the same period, blind segment transfer compounded at 1.3x. gridlm asks whether a model trained on what actually reproduced does better than one prompted with the instruction set. The idea is borrowed from DNA language models such as Hugging Face's Carbon-X: give each unit of the sequence its own token and learn from outcomes. Here the unit is an opcode, and the outcomes come from the fossil record. Two models, about 0.8M parameters each: genome is born at least twice in its epoch), meaning it…
Read the full model card ↗ · Preview checked 2026-11-01T03:36:35.720Z
Inside the original model card — Document outline
- gridlm: a mutation screen and generator learned from a thegrid fossil record
- Data
- Results (held out in time)
- Limits
- Use
- Credits
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Model overview
flaukowski/gridlm-thegrid is a task-unspecified model repository published by flaukowski on Hugging Face. The source reports the pytorch library.
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Model facts
- Task
- Not reported
- Library
- pytorch
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-10-27T06:36:41.000Z
- Last modified
- 2026-10-27T06:36:43.000Z
Compatibility and lineage
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-27T06:47:19.891Z. Daily imports are snapshots, not real-time monitoring.
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