OK it's training!!! (A100 80GB, there was no H100 available on Colab Pro) Yay @UnslothAI Studio
COMPUTING
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Hyperscaling compute: history’s biggest bet or failure?
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Big implications, folks, for today's new reports on the thymus gland and healthspan —Our thymus gland largely involutes after the teenage years, but AI used to determine its persistent level of health
—Healthy adult thymus linked to an array of remarkably improved health -
Good Programmers Think Twice Before Acting
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"A good programmer is someone who always looks both ways before crossing a one-way street." — Doug Linder
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NVIDIA CUDA: 20 Years Empowering 6 Million Developers
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In 2006, NVIDIA made a bold bet on a parallel computing platform that would eventually redefine the limits of science and industry. 20 years later, CUDA serves as the foundation for 6 million developers worldwide—and we are only just beginning. Join the next wave of architects
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Discussing local AI models, reliability, and community engagement
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as i think about the challenges of filtering ai content and replies, i’m reminded of this quote by a park ranger on the challenges of designing trash cans: “there is considerable overlap between the intelligence of the smartest bears and the dumbest tourists”
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Scaling AI at the Edge: Axelera AI’s MWC Barcelona Insights
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Scaling AI at the Edge: Insights from MWC Barcelona
— Axelera AI (@AxeleraAI) 18 mars 2026
Most AI today is still tethered to the cloud. Why? Because the industry has lacked a solution that combines high performance with the price efficiency needed for true edge deployment.
At MWC Barcelona, our CEO and Co-Founder,… pic.twitter.com/XYjGGj9tl3Scaling AI at the Edge: Insights from MWC Barcelona Most AI today is still tethered to the cloud. Why? Because the industry has lacked a solution that combines high performance with the price efficiency needed for true edge deployment. At MWC Barcelona, our CEO and Co-Founder, Fabrizio Del Maffeo, shared how Axelera AI is changing this narrative. By building a hardware architecture from the neural network up, we are enabling enterprises to run powerful AI efficiently right where the data is created. Key Takeaways: Digital In-Memory Computing: Our unique architecture merges memory and computing on a single chip to deliver high throughput and low cost. The Power of Ecosystems: Real-world AI success isn't just about the chip. It requires a synergy of hardware, software, and strong partnerships with industry leaders like Dell Technologies, HP, and Lenovo. What’s Next: We are preparing for a future where world models and advanced sensing will redefine how devices interact with the world. Watch the highlights below to see how we're bringing the future of computer vision and edge inference to life. #EdgeAI #AIInference #ComputerVision #MWC26 #AxeleraAI #Innovation
→ View original post on X — @axeleraai, 2026-03-18 15:25 UTC
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Hetzner Instances Become New Tech Status Symbol
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the new status symbol is having a hetzner instance
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Real-time Video Generation Breakthrough with NVIDIA Hardware
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A breakthrough in real-time video generation.
— Runway (@runwayml) 18 mars 2026
As a research preview developed with @NVIDIA and shared at @NVIDIAGTC this week, we trained a new real-time video model running on Vera Rubin. HD videos generate instantly, with time-to-first-frame under 100ms. Unlocking an entirely… pic.twitter.com/juafjvk0wmA breakthrough in real-time video generation. As a research preview developed with @NVIDIA and shared at @NVIDIAGTC this week, we trained a new real-time video model running on Vera Rubin. HD videos generate instantly, with time-to-first-frame under 100ms. Unlocking an entirely
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Space Engineers 2 NPC Pathfinding Experiments Launch
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SE2 — first NPC pathfinding experiments gone wrong We resumed work on NPCs for Space Engineers 2. Petr Minařík, who's been with me at Keen Software House since the very beginning, is now working on NPCs for VS4. Here's one of our first experiments with Kythera navigation and
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GPU Requirements Barrier Limits AI Adoption for Most Users
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Not to mention most ppl prolly don’t even have the gpu needed to turn it on