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if we play our cards right

We just raised a $28 million Series A from Coatue and Lux Capital to build the AWS x GitHub for biocomputing. 1/N🔻 latchbio.substack.com/p/announcing-o…

This decade had a bit of a rough start but it’s about to get very, very dope.

Mike Solana These people and their friends are are all about performative intellectualism, they think intelligence is reflected by how smart you appear (to them) in SMS conversations.

all the AI nonprofits quickly discovered that nonprofit isn't actually a good way to serve humanity

lex friedman the type of guy to have the smartest computing person on his podcast and ask them silly questions like explain why javascript is the marvel cinematic universe of programming languages or how many meals do you eat in a day. it’s an art form

The biggest blackpill on why energy is expensive is this: because it's nearly impossible to develop new capacity and get it connected to the grid. Projects build in 2022 spent ~5 years waiting to get approved to connect to grid In 2015 it was 3 years In 2008 it was <2 years

if you're a cs undergrad you're probably better off ditching leetcode forever in favor of getting good at willing ideas into existence. literally minmax solving IRL problems. don't do fake work the cost of writing software approaches 0 in the limit so position yourself for that

the memes write themselves now. "everytime the gpu crashes - 1 minute meditation" - George Hotz 🌑

notion give me an anki feature plz

we're approaching godlike prediction of earth's behavior. this will unlock wildfire/drought/flood/heatwave prevention, simulating ocean circulation, grid optimization, crop yield responses, hurricane tracking, perfect water allocation estimates, sea-level predictions, air quality

open source model releases be like yeah it'll run on consumer gpus

you should legally be required to disclose what quantization level you are serving your current model at like it was a nutrition label. you should also be banned from dynamically adjusting quantization based on demand without notification. (you know who you are ...)

Most companies have an engineering backlog that far exceeds their resource pool. So you make tradeoffs on the things you can productively work on, which means you do fewer things. AI means you can light up more projects, thus increasing the downstream work to be done.