mwcvitkovic

Aw I'm so glad!

I tried the beta version recently, and it really does work. Pretty incredible.

Author here: thanks! Added these.

Author here: great point, I updated the post

Author here. Thanks! I added a couple of these.

Author here. This is a great point. I'll add the non-obvious DIY options to the list. They're just as important.

It's true money can buy a lot of them, but you can barter too. E.g. make a deal with your housemate to clean the house if they'll do a few hours research for you.

So you have to spend/trade something, but (for me) it's harder to think of what's worth spending/trading for. Hence the post.

Also shoutout to some great critiques in the comments here: https://www.lesswrong.com/posts/KdXvXszWEHPMzfFNK/how-should...

Haha I dunno some kind of HN Vienna Circle to just assemble and make a bunch of great points

Delighted to see that despite the whole point of the piece being to NOT discuss the arguments for/against longevity, basically all the comments are about that. ;)

First of all, I'm thrilled someone looked at the footnotes - thanks :)

I was flippant about the arguments against longevity only because other authors (linked in the appendix) have done such a thorough job of making the case already. The goal of this piece was to help push the longevity discussion past that a bit.

Completely agree that the arguments against longevity should be taken seriously. I just happen to think they're wrong.

Employee here.

React/Django/Postgres on AWS for APIs and websites. Terraform to manage the infrastructure. cortex.dev for serving some ML models, AWS Lambda for serving others. ML models are all PyTorch at the moment, with RDKit doing the chemistry heavy lifting. Data obtained through various means, including some tools from nextmovesoftware.com

There's a bunch more tech involved in supporting the scientists in the COVID moonshot, but that's basically everything ML-related.

Any particular part of the stack you were curious about?