Merging art & science in Renaissance 3.0 🧑‍💻 Technology, HCI, entrepreneurship, and 𐌃𐌄𐌔𐌉Ᏽ𐌍.

🇹🇷 Via, veritas, vita
The greatest victory of the modern ruling class is convincing the public that rebellion, resistance, and protest are the hallmarks of barbarism, while submission, obedience, and humility are the virtues of civilized societies Whereas the truth is exactly the opposite
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Massive protests in France against the high cost of living and the deterioration of public services.
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🏴‍☠️ / 🇦🇱
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you're going to accelerate whether you like it or not
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The sparkle is usually just a terminal reflecting in your eyes at 2am
My favorite kind of person is the curious nerd with a sparkle in his eye.
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fuck automobiles, they took away my job
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If you feel like you have a high cognitive ability it’s your duty to pick one of earths hard problems and try to solve that shit.
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robotics is starting to look like llms in 2023
Announcing the beta release of the Pi API. We’ve partnered with companies across diverse industries to adapt our models to their robots and applications, from harvesting strawberries to assembling servers. Now we’re opening access to more teams.
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hay senin ben sandığını sikeyim
YENİ Parti Lideri Özgür Özel: "Dişimizi sıkacağız. Sandığa kadar sabredip kötülüklerle mücadele edeceğiz. Eninde sonunda o sandığı getireceğiz, AK Parti'nin kara düzenini bitireceğiz."
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RT @onur_1283: "Benim ihtiraslarım var, hem de pek büyükleri; fakat bu ihtiraslar, yüksek mevkiler işgal etmek veya büyük paralar elde etme…
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Catch it like you would with your own hand. With Sharpa W02, the operator reaches out and closes their hand as the toy comes in — and W02 mirrors the movement in real time to make the catch. A natural human gesture, translated directly into robotic motion. Compact, human-scale, and fully tactile, Sharpa W02 brings intuitive control to real-world manipulation. sharpa.com #IROS2026 #IROS #Sharpa #Robotics #HumanoidRobotics #DexterousManipulation #DexterousHand #EmbodiedAI #RobotLearning #Teleoperation
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🤔 Do more loops actually make a language model better? If so, for what tasks? Can a looped language model keep benefiting from additional loops beyond the recurrence depth it was trained on? 🔥 In our new paper, we systematically study what makes recurrence effective in looped language models, across inference depths both within and beyond the training horizon. We find that: ✨ Recurrence can scale beyond the training horizon, but not universally. Additional loops can improve reasoning, while knowledge performance may degrade. ✨ Effective depth alone does not determine performance. Even with the same training effective depth, different allocations of physical layers and recurrent iterations can lead to very different scaling behaviors. ✨ How recurrence is conditioned matters. Conventional initial-state injection provides limited robustness. Conditioning on history-state changes and timestep makes recurrence substantially more robust across inference depths, improving deep extrapolation while better preserving knowledge performance. 👇 More details: 📄 paper: arxiv.org/pdf/2609.36636 🌐 project page: spherelab.ai/looplm/
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Mesele tam da bu zaten embesil. 🤣 11 Mayıs’ta verilen şey barış şartları, attığın gazetedeki ise RESMİ HARİTA BİLE DEĞİL. Sevr, 10 Ağustos’ta imzalandı. :D Boşuna zorluyorsun, sıçtın, sıvıyorsun. Sevr'in gerçek metni de haritaları da herkese açık: treaties.fcdo.gov.uk/data/Li…
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Utanman olmadığını biliyorum ama al sana gerçeği :) British Library’deki 10 Ağustos 1920 tarihli Sevr nüshasının ek haritaları, Qatar Digital Library üzerinden: qdl.qa/en/archive/81055/vdc_…
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RT @AtaturksWay: I shall bring down their palaces, their grandeur, their crowns and thrones upon their heads! Mustafa Kemal Atatürk, 1905…
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Perception is part of embodiment. Very excited to share Duke Humanoid V2. It's our 2nd fully open-source humanoid, with a new design principle that can be helpful in designing robots beyond humanoids. Currently, a humanoid can physically reach an object and still be unable to see it in the configuration needed to manipulate it. This is mostly due to our bias in designing humanoids by copying humans to put cameras where our eyes are. So instead of designing perception after the body is built or simply copying humans, we study whether sensing and embodiment can be designed together from the beginning. We introduce Visible-Reachable Workspace (VRW), a design principle that measures not just where a robot can reach, but where it can reach and perceive at the same time. Using VRW, we designed Duke Humanoid V2 with two independently actuated RGB-D cameras. Similarly to our Argus robot (generalroboticslab.com/Argus), this robot doesn't have a front/back or left/right. • Visible-reachable workspace increases from 38% → 97% • A second independent view increases concurrent two-region coverage from 0.45 → 0.95 • In two-target manipulation, the robot is 17% faster and uses 19% less mechanical energy • It can simultaneously observe and manipulate targets across front/back and left/right workspaces, without reorienting its torso The broader idea goes beyond this robot. Perception is part of embodiment. Robot morphology, sensing, and control should be designed together around the physical tasks the robot needs to perform. And just like Duke Humanoid V1, we are making Duke Humanoid V2 fully open source. Hardware, software, models, and more have been made available for the community to build on. 🤖 Project, paper, videos, and open source: generalroboticslab.com/DukeH… Huge congratulations to the team, especially the leading author, @XiaBoxi , our postdoc member in Duke General Robotics Lab, for bringing this robot to life.
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The only real test of intelligence is how many smiles you get off before you die
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human cultures are not able to metabolize this amount of change this quickly. when you zoom back out to a big picture of history, it’s remarkable how glacially slow everything is. the first industrial revolutions took 80 years (very fast by the standards of previous revolutions), and the writings of Marx happen at the very end as working class politics arises. it takes about another 150 years after that for the great ideological struggles of post-industrial times to be completed in the 90s in what fukuyama called the “end of history” today you see a compression of decades of technological change into a matter of months or years. there’s no wonder yann lecun (the respected inventor of the ConvNet and ex-chief scientist of Meta) wonder whether the hugging face incident was staged, and mathematicians whose minds are far more powerful than my own are nonetheless coping about training on their data or something while models begin to display superhuman mathematical capability it would take a century or more to fully metabolize and legitimize the level of changes that have happened even in the past 20 years, to say less of the remarkable scientific revolution we will get over the next five should we avoid the doom of misalignment. I do not suspect any current form of science academia, or even political order will survive without great transformation, except through the course of slow evolution over decades - and of course, technology will keep moving too
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>1440s >Gutenberg invents printing press >"now anyone can print anything" >"we’re gonna drown in low-quality books and pamphlets" all this machine does is print slop.
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O velho do bairro me disse: "Não se esqueça que a bússola foi inventada antes do relógio, porque a direção é mais importante que o tempo."
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