I love @random_walker and @sayashk's idea that nuclear weapons are the worst possible analogy for AGI. They are different in almost every important respect and if you are reasoning based on this analogy you are very likely to reach bad conclusions.
My sense is that Trump 2.0 is heavily influenced by the Travel Ban Experience, which taught Trump that the Court will allow him to start off with the most extreme version of something and then gradually adjust its scope and rationale until the Court says "that's good enough."
@rajiinio@sarahookr@roeldobbe@andrewthesmart @rajinio Wasnt your original idea for the title/inspiration behind https://t.co/aG2OLXXChn based on "unsafe at any speed", so automotive safety? i feel like we moved away from this over the course of writing but i cant remember why
I don't think I'll ever get over the anti immagrant crowd cheering for the guy from South africa who came here illegally, made a fortune through government subsidies then bought an election so he could take away their benefits.
Hi! I'm hiring a Research Engineer to join my team at Google DeepMind for the year. You'd be working with a great, interdisciplinary team on AI evals. Please share if you know anyone who might be interested!
https://t.co/g9ezvWTGI5
Note: this is a fixed-term, 12 month position
@rajiinio after reading it my new proposed headine : "Nevada outsourced its contentious policy/values decisions to reduce the number of students funded by 80% to a private company that hides its methods behind bullshit trade-secret claims". There ya go
@rajiinio meh, at least they are reporting on this stuff. cant count number of times we tried to pitch them any number of places where we discovered some government actors making bad policy and hiding behind AI and NY times decidedly not interested.
This is incredible - each of these cases are AI scams that have been alarmingly normalized in the past couple years (including DoNotPay, a "robo-lawyer"; several AI enabled financial/business services, etc).
Glad to see all of this being finally called out!
I really love this - it captures what most frustrated me when I took this class. Some problems are easier to formally model - these are the scenarios in which optimization methods "work". But there's so many other types of problems where we're pretty much just fooling ourselves.
@geomblog Hmm, so like in a prediction system you can say hold administrative actors responsible for something like the costs of different types of errors they've chosen to prioritize and for generative AI you can ... idk?