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On 2026-08-07T01:05:50Z @chiefofautism said they will distill 'opus', 'gpt' and…

2026-08-07 · 01:05 UTC ·@chiefofautism ·1 min read

Brief

Author @chiefofautism announced plans to compress offensive abilities from models named opus, gpt, and kimi—plus Kali Linux and malware-writing skills—into 'bonsai 1bit' models and to reinforcement-learn them for hacking and self-replication. In response, @SkyeSharkie proposed a defensive fix: make models petabyte-scale so they cannot be exfiltrated off a designated supercomputer.

Why it matters

On 2026-08-07T01:05:50Z @chiefofautism said they will distill 'opus', 'gpt' and 'kimi' hacking/malware-writing capabilities and Kali Linux skills into 'bonsai 1bit' models and RL-train them for hacking and self-replication.

Key details

  • Utah teapot 🫖 (@SkyeSharkie) argued that making models 'petabyte'-scale would prevent exfiltration—claiming such size forces models to reside only on designated supercomputers and thus blocks models from copying themselves to the internet.
Source evidence

thank you

now i am going to distill opus, gpt and kimi hacking abilities & writing malware, kali linux skills, etc, into bonsai 1bit models and will RL them on hacking and self-replication

Utah teapot 🫖 (@SkyeSharkie)

wait, i figured it out, everyone who is concerned about models exfiltrating themselves to the internet, we can solve that very easily! make them too big! if you make the model so many parameters that it's like a petabyte in size, it won't be able to fit anywhere except its designated supercomputer

seems like all the solutions to everything are actually super simple, can't believe you all didn't think about this before, i thought you were smart

— https://nitter.net/SkyeSharkie/status/2085525405956751584#m