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Category: robotics/AI – Page 80
Tesla plans to revolutionize manufacturing and achieve unprecedented growth by producing 100 million humanoid robots by 2035, leveraging advancements in AI and robotics to significantly enhance efficiency and profitability.
Questions to inspire discussion.
Production and Scaling.
🏭 Q: What are Tesla’s production targets for Optimus bots? A: Tesla aims to ramp up Optimus bot production to 10,000 per month in 2,024,100,000 per month in 2025, and 1 million per month in 2026, with aggressive growth targets of 1000% (10x) year-over-year.
Associate Professor Qing Zhong shared insights on AI breakthroughs in proteomics and multiomics, challenges in data sharing and his vision for a high-resolution lens on biology that could redefine science and healthcare.
Drone show accidents highlight the challenges of maintaining safety in what engineers call “multiagent systems” — systems of multiple coordinated, collaborative, and computer-programmed agents, such as robots, drones, and self-driving cars.
Now, a team of MIT engineers has developed a training method for multiagent systems that can guarantee their safe operation in crowded environments. The researchers found that once the method is used to train a small number of agents, the safety margins and controls learned by those agents can automatically scale to any larger number of agents, in a way that ensures the safety of the system as a whole.
Researchers in China have developed a unique running stance for their four-legged robot, which allows it to move at far greater speeds than similar machines.
In today’s AI news, When rivals take a different approach and succeed, it sometimes pays to change course. This is what Sam Altman said OpenAI will do, according to a Reddit AMA session on Friday. Altman was asked about DeepSeek, which has taken the tech world by storm after rolling out top-performing AI models that are relatively cheap to use.
Then, Andreessen Horowitz general partner and Mistral board member Anjney “Anj” Midha first spied DeepSeek’s jaw-dropping performance six months ago. That’s when DeepSeek introduced Coder V2, which rivaled OpenAI’s GPT4-Turbo for coding-specific tasks, according to a paper it released last year.
S V3 and R1 models. These efforts “achieved significant bypass rates, with little to no specialized knowledge or expertise being necessary.” ‘ + And, MLCommons, a nonprofit AI safety working group, has teamed up with AI dev platform Hugging Face to release one of the world’s largest collections of public domain voice recordings for AI research. The dataset, called Unsupervised People’s Speech, contains more than a million hours of audio spanning at least 89 languages.
In videos, in this episode of “How To Build The Future,” YC President and CEO Garry Tan sits down with Bob to discuss the lessons learned from his time at OpenAI, scaling laws, his advice for startups, and what all of this means for the jobs of the future.
Then, “Maybe I Got Carried Away” is an experimental short film that fuses playful visuals with a surreal narrative. It was created by [@panaviscope](https://www.youtube.com/@panaviscope) using Sora generated shots. The story follows a protagonist who begins releasing vibrant balloons into the sky as a personal act of rebellion against her city’s monotony.
Meanwhile, Shashank Dogra breaks down AI Agents in the simplest way possible. AI Agents: The Future of Business & Technology Agents are the new apps. In the near future, we expect to see thousands of AI agents transforming the way businesses operate.
We close out with NVIDIA Developer showing how DeepSeek-R1 model is packaged as NVIDIA NIM microservice delivers superior throughput performance and can be easily deployed on any GPU-accelerated system with standard API. Get started now at build.nvidia.com.
A string of startups are racing to build models that can produce better and better software. They claim it’s the shortest path to AGI.
UC Berkeley researchers devised a fast and precise way to teach robots tasks like assembling a motherboard or an IKEA drawer.
Wandering salamanders are known for gliding high through the canopies of coastal redwood forests, but how the small amphibians stick their landing and take-off with ease remains something of a mystery.
A new study in the Journal of Morphology reveals the answer may have a lot to do with a surprising mechanism: blood-powered toes. The Washington State University-led research team discovered that wandering salamanders (Aneides vagrans) can rapidly fill, trap and drain the blood in their toe tips to optimize attachment, detachment and general locomotion through their arboreal environment.
The research not only uncovers a previously unknown physiological mechanism in salamanders but also has implications for bioinspired designed. Insights into salamander toe mechanics could ultimately inform the development of adhesives, prosthetics, and even robotic appendages.
SemiAnalysis debunks the $6 million DeepSeek AI training cost myth, revealing a massive $1.3 billion investment in infrastructure and GPUs.