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Fueled by friendly competition, students in MechE’s popular course 2.155/156 apply AI theory to real-world engineering design challenges, from bike frames to city grids. The class has “opened the curtains” on machine learning, Ilan Moyer says.

Massachusetts Institute of Technology (MIT)

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31,306 views • 10 months ago •via X (Twitter)

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FleetLab 1.0 is LIVE. Join us for the first-ever Saronic hackathon — where your code will run real autonomous boats. We are building autonomous surface vessels from the ground up — designing hardware, software, and autonomy systems in-house and deploying them at scale. FleetLab 1.0 puts you in the middle of our work, challenging you to solve the same autonomy problems our team faces in the real world. Winning teams will watch their code deploy live on Saronic’s autonomous test vessels. Participants will choose one of three tracks: 📍 Track 1: UI: Visualizing Autonomous Decisions How should operators understand what an autonomous system is thinking? Design interfaces and apps that make autonomy transparent, intuitive, and mission-ready. 📍 Track 2: Autonomy + Navigation Develop logic, modeling, or machine learning approaches that improve decision-making in dynamic maritime environments. 📍 Track 3: Machine Learning Track Apply machine learning techniques to real autonomy-focused datasets and deployment scenarios. Are you a Texas-based student and ready to take on the challenge? Application link in the first comment!

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Saronic

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Origins Beta Mainnet goes live today. Built for AI-native execution. Modular by design. Compute aware from day one. This is the first real step toward infrastructure that moves at machine speed, not human bottlenecks. If you’ve been watching from the sidelines, now’s the time to plug in. Let’s see what gets built.

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Origins Network

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Adix is built from the ground up to be AI-powered - not as a feature, but as core infrastructure. $ADIX uses machine learning to match brands with the right creators, optimize campaign outcomes, and build on-chain reputation profiles based on real performance. It replaces manual workflows, reduces spend inefficiencies, and introduces precision at every step of the marketing process. Adix is what happens when AI and blockchain come together to solve real-world problems at scale. 🔥 👉

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74,005 views • 10 months ago

Sometimes knowledge waits quietly for the right moment. Vera the Owl has been keeping record, observing how systems move and how meaning forms over time. Her Library holds the foundations of DataHaven, from architecture and token design to AI infrastructure and real world assets. Step into Vera’s Library in Camp Haven. Bring along a curious mind who would enjoy learning this with you. 🏕🫎

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DataHaven 🫎

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On January 20, at Davos 2026, CATL was honored with the World Economic Forum (World Economic Forum )'s 2026 MINDS Award, recognizing its groundbreaking project "Augmented Intelligence Leading Next-Generation Lithium-ion Battery Design," which has been acclaimed as a global benchmark for AI-driven industrial application. The project marks a fundamental shift from traditional "reverse design and trial-and-error experimentation" to "forward design with predictive intelligence before manufacturing." By integrating proprietary multimodal data across materials, design, processes and equipment, the initiative has built an intelligent battery cell design platform for the lithium-ion battery industry. The system supports customized performance targets and dynamic priority adjustments, achieving a design prediction accuracy of up to 95%. Compared with manual design, it generates recommendations in seconds and virtual cells in minutes, increasing design efficiency by 30%. CATL will continue to evolve AI from "enablement" to "creation," and from solving known problems to discovering new frontiers, building a cornerstone for the global energy transition. #CATL #WEF #Davos2026 #ArtificialIntelligence #BatteryInnovation

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CATL

40,931 views • 6 months ago

A popular request from folks on the Alpha has been to copy things by dragging while holding down option. Easy enough in theory, kind of essential - but man such a gnarly one to get working right.. 🫠 This will be in Alpha no 3, and another batch will be getting an invite soon.

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Tesla can train FSD on billions of miles and Optimus on endless simulations. At some point, xAI has to stop learning only from what we’ve already seen and start figuring things out as it goes. Where Tesla AI is going, the real world becomes the training ground. Tesla xAI @Optimus / Writer: Annette, Grok Imagine Designer: Janné

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Battlefield lessons from the Ukraine conflict are shaping military tactics worldwide. China has begun training its troops on how to evade drone threats. The goal here is to dodge or evade them at the last second by relying on quick reflexes, dropping to the ground. It's hard to see how that would play out in a real world combat environment.

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Lukas Ziegler

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ROBOMAEDA TALK TODAY: Thank you to Professor Hiroshi Ishii 石井裕 as the inspiration for my talk today at the Massachusetts Institute of Technology (MIT) MIT Media Lab on "life as a hybrid." And it's not going to be my Azure AI Avatar talking for me today -- it'll be the real me. I think ... Date: November 8 (Friday), 11am Boston time Talk info at MIT: Zoom livestream (free): ** --- Building A Hybrid Career Across Tech, Business, And Design. Or, ”How I Learned to Speak Human After Leaving MIT :-)” What happens when a computer science major steps out of MIT and into design, business, and leadership? In “How I Learned To Speak Human After Leaving MIT :-),” I’ll share how leaving the Media Lab in 2008 set me on an unexpected path—from advocating for the arts with the STEAM movement at RISD to navigating venture capital, startups, and industries of all scales. Does being a multidisciplinary “hybrid” thinker and doer enhance or limit one’s career prospects? Through insights from my own journey, I’ll explore the unique challenges and opportunities hybrids face today, offering key takeaways for those building careers across multiple disciplines. This talk brings my journey full circle—from the early foundations of AI in the 80s to the dawn of a new AI-powered industrial revolution. --- Related links: - “Design Against AI” / Design in Tech Report 2024 at SXSW - “The Art and Craft of Business Resilience” / LinkedIn Learning - “Mr. Maeda’s Cozy AI Kitchen” / Learn LLM Coding Easy as CAIK - “Design, Business, Inclusion” / LinkedIn Learning - “How art, technology, and design inform creative leaders” / TED 2012

John Maeda

13,022 views • 1 year ago

As a newly appointed 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗼𝗿 at Imperial College London, I'm thrilled to announce the 𝗦𝗮𝗳𝗲 𝗪𝗵𝗼𝗹𝗲-𝗯𝗼𝗱𝘆 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗟𝗮𝗯 (𝗦𝗪𝗜𝗥𝗟) at 𝗜𝗺𝗽𝗲𝗿𝗶𝗮𝗹 𝗖𝗼𝗹𝗹𝗲𝗴𝗲 𝗟𝗼𝗻𝗱𝗼𝗻. 𝗦𝗮𝗳𝗲 𝗪𝗵𝗼𝗹𝗲-𝗯𝗼𝗱𝘆 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗟𝗮𝗯 (𝗦𝗪𝗜𝗥𝗟) ( is a new research lab focused on the intersection of safety and intelligence in next-generation robotics. We're hiring exceptional PhD students who are passionate about pushing the boundaries of robot learning. 𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗦𝗪𝗜𝗥𝗟 𝘂𝗻𝗶𝗾𝘂𝗲? We operate at the exciting convergence of: • Online & offline reinforcement learning • Imitation learning & human demonstrations • Sample-efficient learning methods • Whole-body and soft robotics systems We're 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗽𝗿𝗼𝘀𝗽𝗲𝗰𝘁𝗶𝘃𝗲 𝗣𝗵𝗗 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 interested in: • Developing safe exploration algorithms for robotic systems • Creating sample-efficient learning methods that minimize real-world trials • Building foundation models for robotics with safety guarantees • Advancing soft robotics and compliant human-robot interaction • Bridging theory and practice in embodied AI Why now? As robots become more capable and work closer with humans, we need systems that are both intelligent enough to handle complex tasks 𝗔𝗡𝗗 safe enough for real-world deployment. Traditional approaches treat safety and intelligence as competing priorities, we believe they're synergistic. If you're a motivated researcher who wants to develop the theoretical foundations and practical algorithms for tomorrow's safe, intelligent robots, I'd love to hear from you. Want to join? Apply via

As a newly appointed 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗼𝗿 at Imperial College London, I'm thrilled to announce the 𝗦𝗮𝗳𝗲 𝗪𝗵𝗼𝗹𝗲-𝗯𝗼𝗱𝘆 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗟𝗮𝗯 (𝗦𝗪𝗜𝗥𝗟) at 𝗜𝗺𝗽𝗲𝗿𝗶𝗮𝗹 𝗖𝗼𝗹𝗹𝗲𝗴𝗲 𝗟𝗼𝗻𝗱𝗼𝗻. 𝗦𝗮𝗳𝗲 𝗪𝗵𝗼𝗹𝗲-𝗯𝗼𝗱𝘆 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗟𝗮𝗯 (𝗦𝗪𝗜𝗥𝗟) ( is a new research lab focused on the intersection of safety and intelligence in next-generation robotics. We're hiring exceptional PhD students who are passionate about pushing the boundaries of robot learning. 𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗦𝗪𝗜𝗥𝗟 𝘂𝗻𝗶𝗾𝘂𝗲? We operate at the exciting convergence of: • Online & offline reinforcement learning • Imitation learning & human demonstrations • Sample-efficient learning methods • Whole-body and soft robotics systems We're 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗽𝗿𝗼𝘀𝗽𝗲𝗰𝘁𝗶𝘃𝗲 𝗣𝗵𝗗 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 interested in: • Developing safe exploration algorithms for robotic systems • Creating sample-efficient learning methods that minimize real-world trials • Building foundation models for robotics with safety guarantees • Advancing soft robotics and compliant human-robot interaction • Bridging theory and practice in embodied AI Why now? As robots become more capable and work closer with humans, we need systems that are both intelligent enough to handle complex tasks 𝗔𝗡𝗗 safe enough for real-world deployment. Traditional approaches treat safety and intelligence as competing priorities, we believe they're synergistic. If you're a motivated researcher who wants to develop the theoretical foundations and practical algorithms for tomorrow's safe, intelligent robots, I'd love to hear from you. Want to join? Apply via

Stephen James

16,605 views • 10 months ago

The concept of creating an exact digital replica of the physical world has always fascinated me: environments that look and behave exactly like our everyday reality, precisely captured in the digital domain. This is the essence of 𝐖𝐨𝐫𝐥𝐝 𝐌𝐨𝐝𝐞𝐥𝐬, simulated realities indistinguishable from our own. Generating these models is the core mission behind what we are building at SpAItial AI. True World Models must capture both photorealistic appearance and underlying physics, spatially-consistent across the environment. For static scenes, current models already deliver impressive results, unlocking downstream applications from gaming to 3D design. However, the true frontier lies in modeling dynamics, which will enable the training of AI agents whose learned behaviors can bridge the sim-to-real gap, thus unlocking countless real-world applications.

The concept of creating an exact digital replica of the physical world has always fascinated me: environments that look and behave exactly like our everyday reality, precisely captured in the digital domain. This is the essence of 𝐖𝐨𝐫𝐥𝐝 𝐌𝐨𝐝𝐞𝐥𝐬, simulated realities indistinguishable from our own. Generating these models is the core mission behind what we are building at SpAItial AI. True World Models must capture both photorealistic appearance and underlying physics, spatially-consistent across the environment. For static scenes, current models already deliver impressive results, unlocking downstream applications from gaming to 3D design. However, the true frontier lies in modeling dynamics, which will enable the training of AI agents whose learned behaviors can bridge the sim-to-real gap, thus unlocking countless real-world applications.

Matthias Niessner

21,673 views • 5 months ago

Street cleaners from India start working in St. Petersburg The first group arrived back in September to fill the labor shortage. Some Indians claim they previously worked in the IT sector. For example, one of them says he was an AI developer at Microsoft. At the same time, the city has extended the ban on foreign workers in the courier and taxi sectors, while regular raids on migrants are being carried out.

Street cleaners from India start working in St. Petersburg The first group arrived back in September to fill the labor shortage. Some Indians claim they previously worked in the IT sector. For example, one of them says he was an AI developer at Microsoft. At the same time, the city has extended the ban on foreign workers in the courier and taxi sectors, while regular raids on migrants are being carried out.

NEXTA

846,935 views • 7 months ago

Valthos builds next-generation biodefense. Of all AI applications, biotechnology has the highest upside and most catastrophic downside. Heroes at the frontlines of biodefense are working every day to protect the world against the worst case. But the pace of biotech is against them: more powerful methods to design biological systems, with near-universal access, open up an increasing surface area of threats. In this new world, the only way forward is to be faster. So we set out to build the tech stack for biodefense. Our team of computational biologists and software engineers applies frontier AI to identify biological threats and update medical countermeasures in real-time. We are backed by $30M from OpenAI, Lux Capital, Founders Fund and others including Definition. We are actively hiring engineers to join in the mission - if that sounds like you, get in touch.

Valthos builds next-generation biodefense. Of all AI applications, biotechnology has the highest upside and most catastrophic downside. Heroes at the frontlines of biodefense are working every day to protect the world against the worst case. But the pace of biotech is against them: more powerful methods to design biological systems, with near-universal access, open up an increasing surface area of threats. In this new world, the only way forward is to be faster. So we set out to build the tech stack for biodefense. Our team of computational biologists and software engineers applies frontier AI to identify biological threats and update medical countermeasures in real-time. We are backed by $30M from OpenAI, Lux Capital, Founders Fund and others including Definition. We are actively hiring engineers to join in the mission - if that sounds like you, get in touch.

Valthos

1,420,950 views • 9 months ago

This was all streamed from Bitcoin using Ordinals. The 3D world supports real-time multiplayer interactions, and decentralized land ownership. All this is on-chain on Bitcoin, and as immutable and secure as Bitcoin itself. The weather in the world reacts to Bitcoin fees, clouds are linked to transaction volume, and time in the world is determined by block height. Makes sense for a Bitcoin world. Real-time multiplayer interactions is one of the newest features. This is particularly difficult to do because Bitcoin block times are ~10 minutes. Bitcoin has been around for 17 years, and we're now seeing fascinating new things being built on top of it.

This was all streamed from Bitcoin using Ordinals. The 3D world supports real-time multiplayer interactions, and decentralized land ownership. All this is on-chain on Bitcoin, and as immutable and secure as Bitcoin itself. The weather in the world reacts to Bitcoin fees, clouds are linked to transaction volume, and time in the world is determined by block height. Makes sense for a Bitcoin world. Real-time multiplayer interactions is one of the newest features. This is particularly difficult to do because Bitcoin block times are ~10 minutes. Bitcoin has been around for 17 years, and we're now seeing fascinating new things being built on top of it.

danny huuep

103,069 views • 3 months ago

AI will kill Polymarket. $2.2M in 2 months using probability models. This news is going to blow up the internet. Polymarket trader made $2.2M in just 2 months using AI. His account is traded entirely by a bot. I’ve heard plenty of stories about AI trading bots before, and almost all of them turned out to be scams or didn’t work properly. But this case is different and honestly I’m shocked. He uses AI probability models, training machine learning to estimate real odds based on news and social media data. If his model says an outcome has a 60% chance, while the market prices it at 50% (50¢), he buys because the market is mispricing it. According to his profile: > His prediction accuracy is 74%. That’s insane. He runs an ensemble of 10 AI models that retrain themselves every week to stay up to date. What do you think about this? This feels like the new reality.

igorizuchaetcrypty

509,887 views • 7 months ago