Bayesian Optimization is just slightly-smarter random search

This is truly one of the spiciest paper's in causality

I took both pills

My favorite antichrist:

New bedtime reading:

Finally some redemption for this guy

Drop the full team surely

Had a productive evening planned but saw a new Talon Fitness nutrition tier list in your feed...

That's my evening gone I guess

Quiet colorscheme today, quiet colorscheme tomorrow, quiet colorscheme forever

📚💙 Just finished David Bessis' book 'Mathematica' and it was very thought provoking. Think I will definitely need to reread at some point to really absorb it. Talks about how math is misrepresented as this dry logical reasoning game while it is really a forest of imagination and creativity

This paragraph on talent in bio by Sam Rodriquez is interesting. My experience in ML is actually frustration at these 'high prestige' research paths in industry, because I see friends go and work as 'research scientists' there when I think they could have much more impact doing something else

What I talk about in the OP is a second order effect on what is described here. When improving a technique by 5%, the long term effects may be much more than the 5% of costs directly saved, due to the market forces that further increase investment in the tool

Had this thought while reading this piece by Niko Mccarty @asimovbio.bsky.social in asimov press

Paragraph in the Amodei essay that I agree with. Seems like there is a very strong power law in Biology: a very small number of technologies that have totally shaped what kinds of questions we go after and how we answer them

30 mins into the essay and finally found something Dario doesn't think AI can do in '5-10 years': mind-uploading...

It's a bit out of date at this point but I found this book a great read to get what the state of play was at least a few years ago: billion dollar burger