I oddly love the models' engineering vernacular: gate, evidence, culprit, durable, provenance, contract…
A lot of these stem from most engineering being debugging and understanding existing systems, where you take on the detective / auditor roles. You do forensics.
I wonder
There’ll be times where you over-guide the AI. It knows better than you and is more intelligent than you.
There’ll be times where you under-guide the AI. It can go off-track, have the wrong biases, or miss context.
How well you manage this superpower is the #0 skill I look for.
Agents can play "Ouija" in the cloud.
This class of timing attacks on shared-host VMs has been known since at least 2015¹. With no full solution.
The world’s cyber infrastructure runs on “yes, that attack is theoretically possible, but who would have the ingenuity & gall to go
‘In one experiment, we asked agents in separate VMs, created and managed by OpenAI’s sandboxing software on shared host machines, to exchange synthetic secrets without the use of network connections or shared writable files—something that our systems are meant to prevent. The
TL;DR of this week.
Your aunt’s password: “P4ssword!” (on a Post-it note in the kitchen)
The stewards and guardians of the internet’s encryption’s password: “4”
Yes, just 4. This key could be used to target and decrypt ~everything, and we’re still cleaning up residual risk.
