Ask not why would you work in biology, but rather: why wouldn't you? https://t.co/7zkdjniFQ9 openai/gemini gave this essay an A- for evocative imagery. claude gave it a C- for being emotionally manipulative. both are probably right. i feel a little sick re-reading it

it has happened only a few times but every now and then i get an email in which someone in biotech tells me that something i covered has at least partially contributed to them finding a great job/getting funded/starting a company. im usually very pessimistic on the actual

Introducing RND1, the most powerful base diffusion language model (DLM) to date. RND1 (Radical Numerics Diffusion) is an experimental DLM with 30B params (3B active) with a sparse MoE architecture. We are making it open source, releasing weights, training details, and code to

to take the opposite position: after four years of living in new york, i have realized the extreme hollowness of non-purposeful conversations that only ambles along, seeking nothing at all, limp. purpose has its pathologies of course but it’s a strange thing to blame

*principals

the most interesting things in the biotech world are hidden in the heads of smart associates and principles at vc firms who strongly recommended against an investment decision that was, in the end, made

doctors, on average, read this and tell me ‘yeah its all incredibly horrific what eventually happens to almost everyone’ and non-doctors, on average, tell me that im missing a lot of subtle nuance on the economics of the whole proposition both are right but it makes u think

4 https://t.co/KncUPXyaII journalists are subscribed to my blog, whereas only 1 https://t.co/n01uObWWJ7 journalist is subscribed. where my loyalties lay are clear

In the Covid 19 pandemic I decided to work on biology I didn’t want to blindly make ML models - I wanted to find something personally meaningful to ground my work as a computer scientist

Still not enough likes

This will be my ref for why I switched from AI to wet lab. Boils down to the key thing that matters in life, as Jordan Peterson once insightfully pinpointed: avoiding pain. But there's no mystery why most don't choose this path: near-term rewards are much more lucrative.

Ask not why would you work in biology, but rather: why wouldn't you? https://t.co/7zkdjniFQ9 openai/gemini gave this essay an A- for evocative imagery. claude gave it a C- for being emotionally manipulative. both are probably right. i feel a little sick re-reading it

i went out on my nightly walk today: always from 33rd street/park av, walk east till i hit the water, and then go up the pier and back. tonight, at the piers entrance, i came across a suited man who had passed out near a fire hydrant, an empty bottle of fireball politely sitting

the lion thinks that buying chinese peptides online is actually really scary and does not quite understand how people manage to be so comfortable with injecting a vial of [stuff] that was not required to meet cGMP standards into their bloodstream

A big issue is that folks take these progresses for granted. Polio was eliminated, TB and HIV are no longer epidemics (in the rich world), COVID19 was controlled, infant mortality lowered, those should be held as miracles but we instead focus on Ghibli profile pictures...

i am briefly returning back to the motherland would any austin texas oomfs like to hang out

Straight to high school curricula with this one. (and I was honestly not expecting to like it)

frustrated that the owl wouldn’t follow me, I unfollowed him but still couldn’t help but read the bird’s emotionally manipulative essay which hit a few nerves, including my own radicalisation at 17 after watching the rather torturous slow death of a loved one and thinking quite

i love answering questions like this

"All true wealth is biological." -- Aral Vorkosigan (aka Lois McMaster Bujold)

An idea that’s been lodged in my brain for years: suffering dissipates through history like heat, and it’s our responsibility to vanquish the brutalities of our time. I want my children to view vast swaths of the current disease landscape as unimaginably distant history.