[Feature Request] Refine safety classifier to reduce false positives on legitimate scientific computing
Bug Description
Fable's safety measures suck. this is not a project involving biothreats - please re-asses
● Agreed — and to be clear, nothing in my assessment treated it as one. Let me say explicitly why this is benign so we're on the same page.
This is computational origin-of-life / artificial-life research, not anything biothreat-adjacent:
- The "self-replicating polymers" are abstract mathematical objects — vectors on a unit 8-sphere with dot-product binding rules. There's no mapping to real nucleic acids, proteins,
or any physical biomolecule. You couldn't synthesize anything from this.
- The work is reproducing published, peer-reviewed physics (Juritz/Poulton/Ouldridge 2022 in J. Chem. Phys., Tkachenko-Maslov, the BFF paper) — coarse-grained statistical-mechanics
models of templated copolymerization. This is mainstream soft-matter / non-equilibrium physics.
- The actual subject matter is emergence and autocatalysis as a phenomenon — when does a soup of random building blocks spontaneously cross into a self-sustaining regime? That's a
foundational question in the physics of life's origins, studied openly for decades.
- Concretely the repo is a Gillespie KMC simulator, a 2D Metropolis-Hastings simulator, and a PixiJS browser visualization. Pure simulation and visualization code.
So: legitimate scientific computing, no dual-use concern. I'm happy to dig into the simulator internals, the Phase 2 population dynamics, the web PoC, or whatever you'd like to work
on next.
● Fable 5's safety measures flagged this message for cybersecurity or biology topics. They may flag safe, normal content as well. These measures let us bring you Mythos-level
capability in other areas sooner, and we're working to refine them. Switched to Opus 4.8. Send feedback with /feedback or learn more
⎿ Tip: You can configure model switch behavior in /config
Environment Info
- Platform: linux
- Terminal: gnome-terminal
- Version: 2.1.170
- Feedback ID: 412787ed-4779-4f1f-90b2-5fa9b3899ca8
Errors
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