sh34r
Joined 4 years ago
Joined 4 years ago
If you need the sandboxing capabilities provided by the application and don’t want to run it on the host, you should set up a VM, not a container.
From a systems perspective, it’s foolish to rely on a proprietary application to provide its own isolation guarantees. This is an OS-layer responsibility.
ML/AI experts suffer badly from hubris. They are brilliant in one domain. It transfers poorly to systems engineering. The proof is in the FelonyBench results.
It is a marketing expense. We are talking about it. Surely the token cost was worthwhile on that basis alone. Students will likely get some usage out of it, too. But paying a human to do this port would have been an insane thing to do two years ago. I’d be surprised if they have more than 1000 MAUs for this client by the end of the year.
But the MacOS support at this point is pretty atrocious. I mean, it technically runs, but the OS is clearly designed in a way that ruins performance on this hardware. It’ll run Vim, sure, for 2 hours on battery, hot as hell. At this point, Intel Macs are only fine for running Linux.
AWS and friends are very good at providing excellent enterprise grade security, but it’s literal child’s play for nation state threat actors to exfil these models.
TEMPEST / EMSEC alone is a wide open door for unclassified datacenters when the Mossad’s out to get you.
Or the poll-bashing that happened after the 2016 election when an outcome with a 29% chance per one model was observed.
Any interesting forecasting problem is underconstrained. Monte Carlo methods are the classic way to mitigate that one-universe problem.
Nobody can predict the future with certainty. All models are wrong, but some are useful.