AI & Agents

FLM

Last updated 2026-09-26 · benchmark measured 2026-09-26 — deterministic & reproducible

FLM is a language model built on a fruit-fly brain connectome-derived recurrent network.

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To cite this score: legit.show/s/flm-kuber-studio/2026-09-26. That address never changes; this page moves with every re-measure.

Legit.Show scored FLM 72/100 on 2026-09-26, measured across all 7 frames from its public surface. legit.show/s/flm-kuber-studio/2026-09-26

Is FLM production-ready?

Legit.Show scores FLM 72 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on FLM (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Accessibility; its weakest is Privacy. Every frame it averages is published with its evidence on the Legit.Show listing.

The 7 Frames

• Performance — 88/100
• Accessibility — 100/100
• Security — 25/100
  How this compares across the catalogue: The Web Security Baseline
• Privacy — 25/100
  How this compares across the catalogue: The Privacy Gap
• Reliability — 100/100
• Standards — 92/100
• Discoverability — 75/100

What we measured

• No Content-Security-Policy and no HSTS.
• Served over HTTPS with a valid certificate.
• Real Lighthouse performance run — 48 ms to first byte.
• Returns a proper 404 for unknown routes.
• 3 of 3 sampled routes reachable.
• No privacy policy found.
• Sets cookies / loads scripts with no consent prompt.
• Discoverable: OpenGraph image, canonical URL.

Who it's for

Researchers · Neuroscience students · Machine learning practitioners · AI experimenters

Sources and updates

Description

Taken from flm.kuber.studio's own website on 2026-09-26.

Benchmark

Measured by Legit.Show from the live site, the way any visitor sees it — with no access to its code or accounts. Same method for every product, and no AI decides the score. Last checked 2026-09-26.

Put together from public information, without FLM's involvement. If anything here is wrong, tell us and a person will check it.

Visit FLM → · Alternatives to FLM → · How this was measured →