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Category: robotics/AI – Page 206

Nvidia’s CEO lays out his vision of what the next 10 years will look like — and his simple advice to young people

Nvidia CEO Jensen Huang has a vision for the future — and some advice for the generations that will have to navigate it.

In a recently released interview on Cleo Abram’s “Huge Conversations,” recorded on January 7, Huang said he expected massive leaps in what he called “human robotics” within the next half decade and a broadening in the applications of artificial intelligence.

Multiple companies across both the US and China, among other countries, are working to launch and scale the production of humanoid robots for use in manufacturing and consumer applications.

Using AI, researchers devise a fast and precise way to teach robots complicated skills

At UC Berkeley, researchers in Sergey Levine’s Robotic AI and Learning Lab eyed a table where a tower of 39 Jenga blocks stood perfectly stacked. Then a white-and-black robot, its single limb doubled over like a hunched-over giraffe, zoomed toward the tower, brandishing a black leather whip.

Through what might have seemed to a casual viewer like a miracle of physics, the whip struck in precisely the right spot to send a single block flying out from the stack while the rest of the tower remained structurally sound.

This task, known as “Jenga whipping,” is a hobby pursued by people with the dexterity and reflexes to pull it off. Now, it’s been mastered by robots, thanks to a novel, AI-powered training method.

AI Has Rocked the Stock Market, But What Will It Do for the Economy?

Bloomberg on the Economic Singularity:

“If AI is about to get much cheaper, the path to an answer on its economic impact is going to get shorter. For workers nervously wondering if large language models will make their skills redundant, a lot is riding on which camp is right.”

For investors in artificial intelligence, the last week delivered a painful shock. The sudden appearance of DeepSeek — a Chinese AI firm boasting a world-class model developed at bargain-basement costs — triggered a massive selloff in Nvidia and other US tech champions.

What matters for the economy, though, is not the ups and downs of stock prices for the Magnificent Seven, but whether AI drives gains in productivity, and how those gains are divided up. For all the excitement, and the trillion-dollar valuations for AI firms, evidence of a boost to productivity remains thin on the ground.

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Tesla’s Path to $10 Trillion

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.

MIT engineers help multirobot systems stay in the safety zone

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.

Sam Altman Says OpenAI Will Adopt AI Approaches From DeepSeek And Meta

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.

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