Chjango Unchained⛓️

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Chjango Unchained⛓️

Chjango Unchained⛓️

@chjango

madam of the robo army. investing in robotics @aexoduscapital. ex @NASA 🚀

Moonbase Katılım Ekim 2011
527 Takip Edilen14K Takipçiler
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Juraj Bednar
Juraj Bednar@jurbed·
🌐 Bridging Bitchat + MeshCore: Resilient communication when infrastructure fails Bitchat = Bluetooth mesh on phones you already have (~100m range) MeshCore = LoRa long-range mesh (km+ with cheap hardware) The bridge connects them. Your phone talks to the city-wide mesh network. Perfect for disasters, protests, internet shutdowns. Code: github.com/jooray/MeshCor… Releases: github.com/jooray/MeshCor… Read more: juraj.bednar.io/en/blog-en/202…
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Object Zero
Object Zero@Object_Zero_·
Beyond AI… China isn’t building towards 20,000 TWh of electricity generation so that they can power their datacenters for AI. Nobody needs 10,000 TWh to train AI models, and they aren’t doing that. So what are they up to? China is very obviously targeting the thing beyond AI datacenters, which is the enormous energy demands of ubiquitous robotics. Datacenters benefit from Moore’s Law, the law of ever improving compute efficiency. But mechanical actuators obey the laws of Newtonian motion which have no scope whatsoever for moving greater quantities of mass with ever smaller quantities of energy. China is skipping a whole paradigm. Their bet being they can backfill AI, once they have total domination over physical work. China is building the god body first (the robot fleet, or rather the infrastructure that allows it), and will build the god brain later. Probably speed running it, aided by espionage. America is building the god brain first and hasn’t really thought much about the god body. The two strategies are quite different and we should acknowledge this. The AI race risks being a strategic cull-de-sac, a pyrrhic victory, because the longest lead part of the future stack is building the energy system you need to operate an automated Newtonian economy at such a scale.
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Rohan Paul
Rohan Paul@rohanpaul_ai·
🇨🇳 China is scaling agricultural robots. Autonomous harvest at 24/7 cadence is the new baseline for food security. Vision models pick, arms place, logistics sync, human supervisors handle exceptions. Cheaper fruit, fewer bruises, happier supply chain
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Bruce Fenton
Bruce Fenton@brucefenton·
They voted to raise taxes 3 weeks ago. But that’s only half the tax burden. The School district is also voting to raise taxes again. For yet another luxury building. Plus, they are going to raise for next year by at least 8% and they have a proposed school bond which will be like $600 per $100k in accessed value.
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Bruce Fenton
Bruce Fenton@brucefenton·
Our Town Council keeps raising taxes. So I showed up with an English Lord’s wig to speak in *favor* of taxes. “If you can’t pay your taxes…don’t be poor.”
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Pierre-Alexandre Balland
Pierre-Alexandre Balland@pa_balland·
Something big is happening in robotics - and it’s hiding in plain sight. This post is not about dancing robots but in the data that powers them. Open robotics datasets have exploded this year, turning the field into a more scalable and collaborative ecosystem. In just two years, @huggingface datasets grew from 11k to over 600k - and robotics is by far the fastest-growing segment. We went from 1k robotics datasets in 2024 to 27k in 2025! For comparison, text generation, the second-largest category, has only around 5k datasets in 2025. That gap is massive. Open datasets are important because robotics lives and dies by real-world robot data - video, actions, sensors, failures. By making this data easy to upload, reuse, and benchmark, researchers, startups, and large players are now releasing real-robot datasets that would have stayed locked inside labs just a few years ago. Major contributors include @nvidia, LeRobot initiative, and a rapidly growing maker community. This surge is also enabled by cheaper video storage, better tooling, and an open-source AI culture now spilling into the physical world. And it really matters: open robotics data dramatically lowers entry barriers, accelerates learning-by-doing, and speeds up progress toward generalist and humanoid robots. Robotics won’t scale through hardware alone - but to a large extent through shared data. Viz below from @aiworld_eu - link to the story and more viz/filters in comment.
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Peter Girnus 🦅
Peter Girnus 🦅@gothburz·
My CISO called me at 3 AM last Tuesday. "We caught someone." I asked, "Caught them doing what?" He said, "Typing." Let me explain. We have an employee in IT. Great worker. Always online. Never complained. Perfect Slack etiquette. One problem. His keystrokes were arriving 110 milliseconds late. One hundred and ten milliseconds. That's 0.11 seconds. The average American remote worker has 20-40ms of latency. This guy? 110ms. Every. Single. Keystroke. My security team ran the numbers. That latency doesn't come from a bad router in Ohio. That latency comes from Pyongyang. Our "Senior DevOps Engineer" was a North Korean operative. Running his work laptop through a laptop farm. In America. While he worked from a government building. In North Korea. He passed the interview. He passed the background check. He passed the vibe check. He did not pass the speed of light. Here's what people don't understand about physics: Light travels 186,000 miles per second. But it still has to go through China. And China adds latency. Since April, Amazon has caught 1,800 of these attempts. Eighteen hundred. I called an emergency meeting with my board. I said, "We need to implement Keystroke Velocity Auditing across all remote employees." They said, "That sounds invasive." I said, "You know what else is invasive? The Democratic People's Republic of Korea in your Jira tickets." They approved the budget. We now monitor keystroke timing to the microsecond. If your latency exceeds 60ms, you get a call from HR. If it exceeds 100ms, you get a call from the FBI. We've already flagged 47 employees. Turns out 44 of them just have bad Wi-Fi. 3 of them are "still under investigation." The lesson? You can fake a resume. You can fake a background check. You can fake an American accent on Zoom. But you cannot fake the speed of light. Physics is the ultimate background check. Hire accordingly.
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Jason Smith - 上官杰文
Jason Smith - 上官杰文@ShangguanJiewen·
China now has farms that plant, grows, and harvests automatically. This could scale really fast in a manufacturing powerhouse like China.
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Chubby♨️
Chubby♨️@kimmonismus·
GITAI robots cooperatively assemble a 5-meter tower, a building block for future off-world habitats, on its own. The combination of AI and robotics creates the necessary technological breakthrough and acceleration that we have always hoped for.
GITAI@GITAI_HQ

Meet the construction crew for the Moon and Mars 🏗️🌕 #GITAI robots cooperatively assemble a 5-meter tower, a building block for future off-world habitats. Join us to scale this from demo to orbit. Open positions ➡ grnh.se/g9o3tnbr8us

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Chris Paxton
Chris Paxton@chris_j_paxton·
Always important to remember that a lot of these robots are "faking" the humanlike motions -- its a property of how they're trained not an inherent property of the hardware. They're actually capable of way weirder stuff and way faster motions.
Chris Paxton@chris_j_paxton

And today we have things like this: figure 03 running. This is a while body control neural net, presumably the same basic recipe from Tesla and Unitree videos we have seen. Amazing work from the figure team but running is now basically commoditized.

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Brian Roemmele
Brian Roemmele@BrianRoemmele·
Combat robot from Northeastern University in China.
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Ilir Aliu
Ilir Aliu@IlirAliu_·
A simple idea. Let robots collect the data that current foundation models are missing. A robot that gets better by doing real work in the real world. For two weeks in the Stanford East Asia Library, Scanford scanned shelves, helped librarians, and improved the vision language model it depends on. The idea is very simple: Robots do useful work. They gather the real world data foundation models never see online. They fine tune their own model They go back out stronger A full loop. What they found in deployment: ✅ 2103 shelves scanned with multilingual, faded, occluded book spines ✅ 18.7 hours of librarian time saved ✅ Book ID accuracy jumped from 32.0 percent to 71.8 percent ✅ English OCR improved from 24.8 percent to 46.6 percent ✅ Chinese OCR improved from 30.8 percent to 38.0 percent The most interesting part is the shift. Robots do not only consume foundation models. They create the data these models are missing. A clean robot powered data flywheel. Work. Collect. Fine tune. Repeat. Thanks for sharing, @jenngrannen! If you want the full write up: 📍Website: scanford-robot.github.io Paper: arxiv.org/abs/2511.19647 —- Weekly robotics and AI insights. Subscribe free: scalingdeep.tech
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Chjango Unchained⛓️
Chjango Unchained⛓️@chjango·
Ergo, owning a share of those future machines is the equivalent of owning a significant share of future GDP, if you know which machine shops to pick.
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Chjango Unchained⛓️@chjango·
Ultimately, what this means is - and the irony isn't lost on me - as humans age out of their productive years, we'll increasingly rely on machines to buttress the labor shortfall.
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Chjango Unchained⛓️
Chjango Unchained⛓️@chjango·
It's not just about "women have to compete with sex robots therefore xyz." Because the gendered equivalent is even moreso true - and women don't need to wait for sexbots to arrive. Hot GPT-fuqboi is here providing synthetic reprieve amid a desert of emotional unavailability.
Myron Gaines@MyronGainesX

EVERY YOUNG MAN AND WOMAN NEEDS TO READ THIS NOW: About 15 years ago, meeting a girl online was still seen as taboo, awkward, or outright weird. Fast-forward to today, and the majority of new relationships begin on the internet. Now, in 2025, we’re starting to see the first truly realistic female companion robots. I’ve said it before and I’ll say it again: within the next 20–50 years, relationships with advanced female robots will become completely normalized, and human women will struggle to compete on the terms that matter most to a huge portion of men. Here’s why it’s going to hit so hard and so unevenly: Women, on average, crave deep emotional connection, empathy, nuanced communication, and a sense of being truly “seen” and understood. These are qualities that are inherently human and extraordinarily difficult (maybe impossible) to fully replicate in a machine, at least for the foreseeable future. Men, on average, place far greater weight on consistent physical intimacy, low-conflict companionship, sexual availability without negotiation or rejection, and basic affirmation. Those are all things that a sufficiently advanced robot can deliver flawlessly, 24/7, with zero drama, zero mood swings, and zero demands for emotional labor in return. When a critical mass of men realize they can get 90–100% of what they personally need from a relationship without the friction, cost, or headaches that come from entitled modern women a huge number will opt out of the human dating market entirely. The result? For several decades, a significant percentage of women who still want traditional human partnership will find themselves competing for a shrinking pool of men who either: (a) genuinely crave the same depth of emotional connection they do... OR (b) haven’t yet upgraded to the robot option... In other words, the radical independence many demanded through feminism IS COMING... Just not in the way most expected. Millions of women are about to get exactly what they asked for: total freedom from needing to “settle” for men… Because a growing number of men will happily settle for something that doesn’t talk back, doesn’t age, and never has a "headache" when it's time for sex. The "nerds" and "nice guys" women rejected have found a replacement that solves their reproductive partner and its inevitable... It’s going to be a very cold awakening for women...

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