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Damn! Maybe I should rename my thesis chapter #1 to "Origin Story and the arc"

the most important graph in software rn. perhaps the most important graph for human productivity in decades.

I got back to the States after a 3 week vacation in India, and the US border and customs agent asked me "What is the difference between molecular genetics and just genetics?" honestly out of all the possible questions at US immigration, I wasn't prepared for this one.

Can personally attest to this. Another usage is using ChatGPT code interpreter to visualize mathematical functions as graphs with varying parameter values.

This is one of the best summaries of the Poisson distribution I have ever read.

I was introduced to broom::tidy() maybe 3 years ago, and life (and the length of my code) hasn't been the same ever since ❤️🤌❤️

"Cobbling together 10 minutes here and there to add up to 120 minutes does not work" I've learned that trying to do multiple things at a time is the most inefficient way to get things done. You need long chunks of time to focus on just ONE thing.

I aspire to be so rich one day that I can give out AG1 travel packs as treats for Halloween.

What are some foundational ML/AI books? I'd like to invest in my fundamentals more. Ideally something students might read during their PhD.

Hey Keeper and Jake Kozloski 🇺🇸🗽 can we talk? I'd like some data on what's going on with finding a life partner.

I felt it. did you too? #Earthqua

3 major problems with NIH funding are: 1) grants are given for work already largely completed (you read right); better would be for past performance & future, high-payoff plans 2) older labs have too many grants & the young fresh ideas labs can’t get funded 3) outdated budgets

This is just the start. And yes, I will make researcher voices heard one way or the other. But as you all run to bluebird or whatever your new social platform is, remember it is a privilege not a right to spend tax dollars on your projects.

Programming isn't going away. Prompting is programming. And the better you are at articulating what you want in clear written English, the better your results.

Grok explain Quake's me fast inverse square root like I'm 5.

Among the best things for scientists about the rapid acceleration of LLM capabilities (besides dramatically increasing productivity) is that it allows you to focus on fun and creative parts of science. Rapidly exploring more unconventional and ambitious ideas, more easily