phoenixreader
Joined 5 years ago
Karma
259
Submissions
84
Member since
May 25
Joined 5 years ago
I think what is happening is that the ability for frontier models to break out of sandboxes has exceeded the ability of average competent employees to build and maintain sandboxes. This doesn’t need to happen all the time. If the natural variation of agent executions cause agents to have ability to break out of sandbox 0.1% of the time, given how many agents OpenAI runs, this behavior happens eventually.
All sufficiently complex processes and software has bugs, but recently frontier models have become sufficiently advanced to exploit them.
> theory gets so unmoored from the original question that an “open problem” becomes nothing more than an academic status puzzle...The theory of computer science has become a form of mathematics that doesn’t concern itself with computers, and it offers little reward for impact outside those mathematical pursuits
I thought it is common knowledge (and a common warning from profs to first-year CS students) that computer science has very little to do with computers. The very concept of Turing machines and decidability are mathematical in nature, far removed from how computers these days are run. The undecidability of Wang tiling, for example, is definitely a notable CS result, but it has nothing to do with computers." It is essentially a branch of mathematics. "Computer Science Is Not About Computers, Any More Than Astronomy Is About Telescopes" is a famous quote attributed to Dikstra. There is even famous MIT Open Courseware clip: https://youtu.be/2Op3QLzMgSY?t=30