Michael Ramos on X: "My security hot take: Sandboxing efforts immediately falter to the law of diminishing returns. And probably little effort should be put into sandboxing, if at all (other than basic infrastructure/operational necessities).
My take is mostly naive, but I did come up with things https://t.co/TGHGSJGejg" / X<br>Post
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Michael Ramos
@backnotprop
My security hot take: Sandboxing efforts immediately falter to the law of diminishing returns. And probably little effort should be put into sandboxing, if at all (other than basic infrastructure/operational necessities).
My take is mostly naive, but I did come up with things like Claude Code hooks & built integrated policy layers, and have cared about responsible ai since ~2018.
The only real countermeasure to not getting paper-clipped is having some effective layer of AI monitoring AI. (LLM as a judge)... But this causes a lot of annoyance and friction... and theoretically we can not achieve 100% alignment thus must come up with some 9's framework.
btw this is not a solution the hundreds of companies attending Black Hat right now are going to figure out. BC - the solution itself is fairly simple. A mythos-grade model needs to be monitored by a mythos-grade model. And then from there you need even more layers so they don't zombify each other.
It's why I think the labs are pushing heavy on auto mode because at some point they might have to flip it on by default without users being able to turn it off
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Michael Ramos@backnotpropFollow<br>Cofounder, AI @EQTYLab / prev dc - complex systems / veteran / For fun: @plannotator
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