I am a researcher in a field that moves fast. It is hard to overstate how new everything in machine learning is; to paraphrase a famous quote, a DL researcher in 2022 time traveling back to 2012 is Prometheus bringing fire to mankind.
Twitter turns out to be:
- the best way to know what happens;
- the best way to show other people what I’m doing.
Furthermore, it’s a good way to connect with people who could make great collaborators or friends. You should have Twitter. For better or worse, this is where the action is.
Of course, Twitter is social media, hence it is full of bad actors and bots. I decided upon two simple rules to make it more bearable:
- mute people who post things you don’t want to waste attention on;
- preemptively block bad people and trolls, so they don’t ever interact with your tweets. Do that liberally: if you are even contemplating about whether to block someone, you should do it. 1 Your time is precious.
Machine learning theory
AI security and safety
Applied machine learning
- Eric Jang
- Andrej Karpathy
- Davis Blalock
If you have (or have read) a cool site along these lines, feel free to send me a link.
Machine learning online resources
Research group blogs
Philosophy and technology
- Nat Friedman
- Sam Altman
- Paul Graham
- Alexey Guzey
Out of distribution
- Bits About Money by Patrick McKenzie
- Milan Cvitkovic
- Bartosz Ciechanowski
- Austin Z. Henley
- Guzey’s Best of Twitter
It’s a sad state of affairs that I have to state it explicitly, but I do not endorse any of the sites above, and especially any people behind those. I haven’t even met most of them, and it is quite possible some of them will end up on the wrong side of history.
A site being here means that it’s either interesting or important. Many things that are important are not good, and many interesting things don’t turn out to be true or useful.
This heuristic is useful for some websites too, but not always. A reasonable compromise is blocking in
/etc/hostsand then unblocking if you need to interact with the site. ↩︎