@itspublu

team carbon. shadowy dev. hyper optimizor

 Tierra del Fuego Antarctic and
roborun.dev
Joined February 2010
  • Tweets4.3K
  • Following4.9K
  • Followers7.9K
678Media
robot arms are the bane of my existence the unitree was easy pickings arms? every codebase is different no wonder everybody just shares photos
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dark gpus era is coming
Ed Zitron
@edzitronOct 20
Business Insider confirms it: Amazon has warehouses of GPUs that can’t be installed, and is buying them so far in advance that a supply chain team said they “didn’t have a clear forecasted path” to installing them. businessinsider.com/amazon-2…
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buy a bunch of cameras, create ur own data sets, take big bets, if it doesn't work out become a data broker
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need this kind of overcapacity
Shanghai Daily
@shanghaidailyOct 18
Tech blogger 神奇阿宇 from Hubei, China, built a working hoverboard. Electric, with 10 brushless motors pushing over 30kg of thrust each—enough to lift 4 people—and peak current hitting 2,000 amps. 2 STEPX Neo phones as the board's brain. One inside the board reads posture data in real time; the other on his wrist feeds AI voice prompts through his earbuds—"Weight's shifting left!" "Bend your right knee!" After 10+ days of brutal training and AI-assisted correction, he achieved man-machine sync.
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Models capabilities are data bound, Therefore the further the; F(model + compute + training recipe) is from the data source, the more polluted and expensive it gets Kind of like an inverse square law
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penguin retweeted
Shumo Chu
@shumochuOct 16
One question I get from business owners all the time: How to turn everyday work into robotics training data? Now, I finally write an article about that. The best way to "catch up" on the physical AI transformation is to embrace it.
General Intelligence Labs
@gi_labsOct 16

How to Turn Everyday Work into Robotics Training Data

Article · @gi_labs
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the biggest psyop is the assumption AI can do anything. it can only do things its shown or, if given enough and sufficiently complex tasks, de/construct other them into seemingly new ones
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penguin retweeted
Shumo Chu
@shumochuOct 7
We are hiring data operators in our SF office. Please apply.
General Intelligence Labs
@gi_labsOct 7
GI Labs is hiring Robot Data Collection Operators in San Francisco 🤖 Work hands-on with robots and teleop systems to collect the data that trains next-gen robots. Part-time, in person. No robotics experience needed. Apply: [email protected] gilabs.xyz/join/robot-data-c…

Robot Data Collection Operator

At General Intelligence, we're building the next generation of general-purpose robots capable of operating across a wide range of real-world environments. Over the past year, we've assembled a...

gilabs.xyz
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building this building that why don’t u build meaningful relationships instead?
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if only bankless had told us to start inference farming
Bankless
@Bankless15 Sep 2022
Top 5 Ways to Use Your GPU After The Merge 1.) Entertain your dog in a field
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it doesn’t work with astra fyi. it doesn’t want to trade
cryppi / perpdexlist
@cryppimagicSep 25
- open Claude Code - buy it a $20 news aggregator API key - connect it to the Hyperliquid API - ask it to build a bot that opens a 5x XMR long every time a major project gets hacked congrats, you've unlocked the infinite money glitch
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My first piece for @NewYorker is out today! As Xi Jinping lands in DC to start his state visit, you'll hear a lot about the US-China AI race. I'd like to tell a complementary AI story. This past May, a few days after Trump visited Beijing, I went to the town people call China's vibe-coding capital, Liangzhu. There, you learn that China's AI scene is not monolithic. It's also full of contrarians, cool vibe coders, spiritual seekers, and people who love AI but refuse to join the 996 grind. Liangzhu is on the edge of Hangzhou. I hung out with a group of anti-mainstream builders who use AI to make whimsical apps for fortune-telling, mental well-being, and creativity. Some of them run their lives entirely by bazi astrology (their founder almost became a Taoist monk). They meet on "Crazy Thursday" to vibe-code together. Rent is cheap, so they can get a bigger place with a living room to have friends over (unthinkable in Beijing or Shenzhen). In Liangzhu, they want to use AI to forge their own future. It’s a ground-level story—less about model capabilities, hyperscalers, or AI policy, and more about how people in China are using AI, and the human stories behind it.
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can’t eat snow anymore 😭
Niko McCarty.
@NikoMcCartySep 21
When you go skiing in the winter, and see those big machines spitting out snow, know that they are spitting out purified proteins made from dead bacteria. I didn’t realize this until recently! Basically, they take Pseudomonas syringae cells — not engineered; a natural microbe found on plants — and grow them up in huge bioreactors. The cells make ice-nucleating proteins, which sit on their outer membranes and help ice crystals form. The cells are concentrated, freeze-dried, and sterilized until only these proteins remain. The reason these proteins are useful is because they help water molecules form ice more quickly. Water can remain liquid even below 0°C, and only freezes when enough molecules form into a crystal. The proteins have, on their surfaces, repeating snippets of amino acids that help water molecules organize into that shape. So these snow machines just blast super cold water with these proteins, and the two hit the air, mix together, and immediately freeze into snow.
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proof of work blockchains could make a huge comeback
MTS
@MTSliveSep 18
SITUATION EXPLAINED: Why are OpenAI and Anthropic suddenly buying tiny data centers? • OpenAI and Anthropic are both looking at deployments of 20 to 30 megawatts • Anthropic has sounded out agreements in that range across the UK and the Nordics. OpenAI has been exploring the Nordics too • The reason is inference. It was 9% of global data center workloads in 2025 • By 2030 it's projected to take 37% of capacity against 13% for training, with the crossover in 2027 • Crusoe is investing in smaller data centers too, and raised $3.9 billion yesterday at a $30.9 billion post-money valuation @theojaffee: "It's much easier to build 20 megawatts and get that online than two gigawatts, 100 times larger."
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when she asks if u wear a harness
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AOL Time Warner of our generation
Salesforce
@salesforceSep 15
Live: @DarioAmodei x @Benioff The @AnthropicAI co-founder & CEO joins us at @Dreamforce for a conversation worth hearing ☁️
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startup job title translations: “chief of staff” = assistant but with equity + power “founding engineer” = on-call at 2am “head of special projects” = comes to fix fires sometimes “advisor” = talks the founder out of ledges once a month
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ai discourse in a nutshell
Squiggly Hair Shanks
@redhairshanks86Sep 15
dis cat clearly cannot comprehend that it can get killed instantly by this weapon and yet it doesn’t attack my theory is that the man’s aura changed by knowing that he would win in an altercation w the cat and the cat feels the increase in confidence and doesn’t want the smoke
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tenderloin is the nicest cut of steak and there’s a whole neighborhood called that
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📸
Jared Smith
@woodchipdaddySep 11
Embeddings can decode ACTUAL VIDEO from a mouse's brain. Not activity patterns. Not approximations. Reconstructed frames of what it saw in real time. Every AI lab training on text embeddings is looking at 5% of what's possible.
Readers added context they thought people might want to know
The video is a CEBRA demo showing "predicted" frames selected via kNN decoding of embeddings (trained with DINO video features as labels) to match known movie frame IDs from mouse V1 recordings, not exact reconstructions. cebra.ai cebra.ai/docs/demo_note… nature.com/articles/s4158…
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