Let’s gooo! Gone are the days of apartment squatting. Just moved into the new office for datacurve 🤩

To this day it's still incredible how supportive and helpful Derrick Li from Afore Capital has been for my startup journey at datacurve. It's officially around 1 year of knowing Derrick and he's been there from Day 1 even before he was an investor. Man is just so kind and

Office claw machine datacurve arrived Maybe 5 coins every time you ship

Turned 20 today, what a long and crazy year wrapped: > Jan: Finish ML internship at cohere, got into Y Combinator > Dropped out of University of Waterloo CS, moved to SF > Feb-March: Pivoted around (like 3 times) > April: Launched Garrett - coding data for foundation model labs >

I'm looking for our next office in SF! Will pay $1500 to thank you if we move into the office you recommend - Looking for 2k-5k sqr ft, move in ideally asap - Don't care much about location as long as the area is relatively safe - Want natural light, many meeting rooms, hardwood

for your eyes only

we’re in a recession. the booths at the AI conference aren’t giving out free water bottles anymore, only stickers. sell it all, today. the music has stopped

I’m at ICLR! Looking forward to new friends and durian

scaling means we just added 2 company policies: - if you work past 12 u get fined $300 - u must take saturday off (you can tinker / do experimental work but not work work) :)

Datacurve is hiring engineers and a designer to join us in SF!

SF 2bedroom apartment, $4k/mo, heart of SOMA. dm me if interested

Datacurve is hiring a contract designer ASAP to work on our gamified problem solving / bounty platform! (which turns into data for the tier 1 labs) DM me!

genuinely really curious why deep research is so bad - out of date, shallow info... It thinks the latest sota benchmarks are humaneval mbpp, and the latest models are claude 3 and llama 3 💀 chatgpt.com/share/68562e0d…

as seen in engineering-main

you know it’s over when you start buying ginger shampoo to grow more hair

the thing about human-to-human chats that makes it interesting is how you don’t know what they’ll say. each “turn” plants new seeds in your mind whereas LLM convos tend to be confirmation bias with barely any new perspective or wildly net new info