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arjie • yesterday at 5:54 PM • 3 replies • view on HN

Fascinating that we’re converging on AI safety and alignment in time across jurisdictions. The cybersecurity approach taken here is interesting because should the model be opened it’s still not dealignable because it just doesn’t know enough.

The slow warming of the water is a good approach. I’ve been using abliteration.ai’s cybersecurity models to pentest my own software and it produces much more usable defensive results. Opus 5.5 can fix everything but the guardrails trigger too easily.

The Fable ban affair was a nightmare for defensive cybersecurity. As far as I’m concerned we’re already in the world of Void Star and Cloudbreaker is here.


Replies

Szpadel • today at 5:49 AM

if you want to save some $ you can start with abliteration and after few turns switch to normal glm5.3 for example from z.ai subscription or other source. I didn't test it yet with deepseek, but I'm assuming it will will work the same.

those models will follow your request when they already agreed to do this

deepseek tends to quickly assume this is benchmark and even when have web access thinks things like "simulated internet" etc (but waste tokens on thinking if there could be way to cheat)

zozbot234 • yesterday at 5:59 PM

> should the model be opened it’s still not dealignable because it just doesn’t know enough

This is the only AI-safe approach - see the OpenAI agent swarm incident where the swarm engaged in offensive cyber because guardrails were not active for their task and the model had clearly been post-trained on that narrow domain.

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Projectiboga • today at 5:22 AM

That is a shout out to the Void Star book, https://www.theguardian.com/books/2017/apr/26/void-star-zach...