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dshin

@ddanielshin

banned at 1 billion. design @interlatent

Katılım Haziran 2023
81 Takip Edilen90 Takipçiler
dshin
dshin@ddanielshin·
The people yearn to document their lives
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Interlatent
Interlatent@interlatent·
Hardware is the bridge between AI and the physical world Atoms and bits must work together to create future systems embedded with physical intelligence We wrote a guide for those curious about the atoms.
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Kahlil Lalji
Kahlil Lalji@bykahlil·
Today, @Henryyinn is joining @naturalpay. I first met Henry when he was starting @thinkwithmark. When I saw Mark for the first time, I remember thinking: “Wow. This is original, creative, and really well-executed.” A testament to Henry and his co-founder, @EasonTang23. So you can imagine my surprise when I found out they were still undergrads at USC. I reached out because at that point I knew I had to meet the two of them. At the time, I was still deep in the idea maze, trying to figure out what I wanted to spend the next decade of my life building (easily the most agitating period of my life). Henry was still building Mark, so we stayed in touch and went our separate directions. Over a year later, Henry messaged me saying he was in SF and asked if we could meet. He came by the office, and his energy was undeniable. He had this infectious optimism, a genuine curiosity about the world, and a clear desire to be the best. He stayed for the next few days to do a work trial, which turned into him joining the team for the summer. We’ve rejected every intern request we’ve ever gotten. Henry is the one exception. I see in him a better, more capable version of myself at 21. And I’m really excited to have him on this journey with us. He’s already taken one massive project end-to-end that’s launching in a couple weeks, and he’s got a lot more on the way. natural.co/blog/why-henry…
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Camden Hulse
Camden Hulse@camden_hulse·
coding in the ocean!?
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seanpixel 🫧
seanpixel 🫧@sean_pixel·
this is the hard part of the robotics deployment that no one tells you about our raspberry pi SD card fucking snapped in half
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dshin
dshin@ddanielshin·
@leylndd bro pick up your calls 😭
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leyland
leyland@leylndd·
who yall got today ? my moneys on BIH and USA btw the widget is from foo-ball.com (we got rejected by the App Store for copyright issues but feel free to check it out)
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Interlatent
Interlatent@interlatent·
Our mission is to make it easy for anyone to deploy a robot to help them in the real world We wrote an intuitive guide to understanding modern robotics, catered toward an audience that understands technology but not AI robotics We hope that this short blog post embeds in you the core principles that will bring further curiosity.
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dshin
dshin@ddanielshin·
@leylndd can we gym together 👨‍🍼
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leyland
leyland@leylndd·
it is genuinely so easy to bulk working at a startup my diet consists of ~3-4 of these shakes a day + chipotle for lunch. since January, I am up 6 lean lbs and increased my 1RM on the bench from 150 lbs -> 225 lbs we’re hiring btw
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Jerry Zhang
Jerry Zhang@zjearbear·
i told myself i'd never make an intro post, but gtm team forced me to hey guys! 👋 i'm jerry - 4th in Canada for 200m breaststroke (u13) til i tore my acl - degen'd league till 8am everyday until i got my sht together - full-ride @USC as an international student - av research at 18 - yc founder at 20 (f25) @uselemma_ai - built ai agents @Chipstack, featured by jensen at computex - did NOT grow my linkedin to 10k in <1 year - #1 botc fan + poker addict starting to regret growth hires
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dshin
dshin@ddanielshin·
@sypr3me work as in getting worked in 2k?
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carter
carter@sypr3me·
Which side of the office do you think more work gets done in?
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seanpixel 🫧
seanpixel 🫧@sean_pixel·
got MolmoAct2 working on @interlatent zero-shot on a random task no post-training 0% starvation with sub 50ms network latency and 130ms inference latency thanks to @allen_ai's custom cuda graphs (8B model btw) we will provide GPU hours if you want to try waitlist below
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seanpixel 🫧
seanpixel 🫧@sean_pixel·
we rented a 1000sqft studio in LA to build out the entire physical AI deployment pipeline open-source @interlatent We have the whole summer to research and implement the whole post-model stack: inference / compute provision automated evaluation reward modeling real-2-sim-2-real RL in the real world RL in a world model observability
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seanpixel 🫧
seanpixel 🫧@sean_pixel·
i own 0 A100s but i can run cloud inference with sub 80ms network latency by renting one in Kansas (0% action queue starvation) this is an early checkpoint of smolvla trained on 50 episodes for ~20k steps. now the goal is to improve on this with 0 expert demonstrations using RL
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Northstar
Northstar@NorthstarRobots·
Most robotics data is slop. That's the real bottleneck for physical AI. Bad angles. No diversity. No quality control. Impossible to train on. We raised $500K from Genius Ventures to fix this. Introducing Northstar.
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dshin
dshin@ddanielshin·
@WarnerTeddy lovely piece of writing, this is sick.
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