Assistant prof. at the Learning and Reasoning group, Vrije Universiteit Amsterdam.
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Peter Bloem
Here's an example of the sort of thing I'm talking about (only hearsay, but it serves to illustrate the point).
This is just classic "ML at scale discovering weird causalities" but just think what the system has to work with here.
It can operate in the full […]
[Original post on sigmoid.social]
Thank god my newspaper is sending me email verification codes whenever I log in. Mossad could well have set up an operation to conduct a man-in-the-middle attack to use my account to read the comics without a paywall.
Peter Bloem
Peter Bloem
We're going to have an outside context problem in our lifetime, and its name is AI.
Peter Bloem
I gave my last machine learning lecture of the course this week.
In the last part, I look at the dangers of making ML part of the infrastructure of society.
https://mlvu.github.io/rl/#video-093
One case study I discuss is Youtube in 2016 optimizing purely […]
[Original post on sigmoid.social]
Peter Bloem
We solved the Windows XP issue eventually (not that there aren't botnets, but at least there is some shielding by default). How do we get the same hardening for people?
Peter Bloem
I think we need to massively re-invest in trust networks. We had the right idea, but it all became a bit too gamified.
We need hardened trust networks. Ones that stand up to serious adversarial attack.
Think La Resistance more than StackExchange reputation.
For no reason at all, please give me your favourite cow-related figures of speech! (Stuff like "No use crying over spilled milk" or "until the cows come home", puns extremely welcome)
Peter Bloem
I keep wondering what the rock bottom will look like that will finally wake us up, and make us realize that power should be kept away from people like Trump and Musk.
I think a Kessler syndrome is probably the least bad option that is still bad enough to do it.
We lose our access to space for […]
In the lecture notes is a link to a great keynote by Neil Hunt about what Netflix was doing at the same time.
This shows that "we didn't know" is no excuse for Youtube. There were plenty of intelligent people in the industry who knew exactly why what they were doing was a bad idea.
