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Hugging Face unveils two new humanoid robots
Hugging Face unveils two new humanoid robots

Yahoo

time29-05-2025

  • Business
  • Yahoo

Hugging Face unveils two new humanoid robots

AI dev platform Hugging Face continued its push into robotics on Thursday with the release of two new humanoid robots. The company announced a pair of open-source robots, HopeJR and Reachy Mini. HopeJR is a full-size humanoid robot that has 66 actuated degrees of freedom, or 66 independent movements, including the ability to walk and move its arms. Reachy Mini is a desktop unit that can move its head, talk, listen, and be used to test AI apps. Hugging Face doesn't have an exact timeline for shipping these robots. The company's co-founder and CEO, Clem Delangue, told TechCrunch over email that they expect to start shipping at least the first few units by the end of the year, and the waitlist is currently open. Hugging Face estimates that the HopeJR will cost around $3,000 per unit and the Reachy Mini will cost around $250-$300, depending on tariffs. "The important aspect is that these robots are open source, so anyone can assemble, rebuild, [and] understand how they work, and [that they're] affordable, so that robotics doesn't get dominated by just a few big players with dangerous black-box systems," Delangue said via email. This robot release was made possible in part by the company's acquisition of humanoid robotics startup Pollen Robotics, which was announced in April, according to Delangue. He added that the Pollen team gave Hugging Face "new capabilities" required to make these bots. Hugging Face has been making a concerted push into the robotics industry over the past few years. It launched LeRobot, a collection of open AI models, data sets, and tools to build robotics systems, in 2024. So far in 2025, the company has released an updated version of its 3D-printed and programmable robotic arm, the SO-101, which the company built in a partnership with French robotics firm The Robot Studio. It also expanded the training data on its LeRobot platform, through a partnership with AI startup Yaak, to include training data for self-driving machines. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Hugging Face unveils two new humanoid robots
Hugging Face unveils two new humanoid robots

TechCrunch

time29-05-2025

  • Business
  • TechCrunch

Hugging Face unveils two new humanoid robots

AI dev platform Hugging Face continued its push into robotics on Thursday with the release of two new humanoid robots. The company announced a pair of open-source robots, HopeJR and Reachy Mini. HopeJR is a full-size humanoid robot that has 66 actuated degrees of freedom, or 66 independent movements, including the ability to walk and move its arms. Reachy Mini is a desktop unit that can move its head, talk, listen, and be used to test AI apps. Meet HopeJr, a full humanoid robot lowering the barrier to entry! Capable of walking, manipulating many objects, open-source and costs under $3000 🤯 Designed by @therobotstudio and @huggingface 👇 — Remi Cadene (@RemiCadene) May 29, 2025 Hugging Face doesn't have an exact timeline for shipping these robots. The company's co-founder and CEO, Clem Delangue, told TechCrunch over email that they expect to start shipping at least the first few units by the end of the year, and the waitlist is currently open. Reachy Mini Credit: Hugging Face Hugging Face estimates that the HopeJR will cost around $3,000 per unit and the Reachy Mini will cost around $250-$300, depending on tariffs. 'The important aspect is that these robots are open source, so anyone can assemble, rebuild, [and] understand how they work, and [that they're] affordable, so that robotics doesn't get dominated by just a few big players with dangerous black-box systems,' Delangue said via email. This robot release was made possible in part by the company's acquisition of humanoid robotics startup Pollen Robotics, which was announced in April, according to Delangue. He added that the Pollen team gave Hugging Face 'new capabilities' required to make these bots. Hugging Face has been making a concerted push into the robotics industry over the past few years. It launched LeRobot, a collection of open AI models, data sets, and tools to build robotics systems, in 2024. Techcrunch event Save now through June 4 for TechCrunch Sessions: AI Save $300 on your ticket to TC Sessions: AI—and get 50% off a second. Hear from leaders at OpenAI, Anthropic, Khosla Ventures, and more during a full day of expert insights, hands-on workshops, and high-impact networking. These low-rate deals disappear when the doors open on June 5. Exhibit at TechCrunch Sessions: AI Secure your spot at TC Sessions: AI and show 1,200+ decision-makers what you've built — without the big spend. Available through May 9 or while tables last. Berkeley, CA | REGISTER NOW So far in 2025, the company has released an updated version of its 3D-printed and programmable robotic arm, the SO-101, which the company built in a partnership with French robotics firm The Robot Studio. It also expanded the training data on its LeRobot platform, through a partnership with AI startup Yaak, to include training data for self-driving machines.

DeepSeek claims its 'reasoning' model beats OpenAI's o1 on certain benchmarks
DeepSeek claims its 'reasoning' model beats OpenAI's o1 on certain benchmarks

Yahoo

time28-01-2025

  • Science
  • Yahoo

DeepSeek claims its 'reasoning' model beats OpenAI's o1 on certain benchmarks

Chinese AI lab DeepSeek has released an open version of DeepSeek-R1, its so-called reasoning model, that it claims performs as well as OpenAI's o1 on certain AI benchmarks. R1 is available from the AI dev platform Hugging Face under an MIT license, meaning it can be used commercially without restrictions. According to DeepSeek, R1 beats o1 on the benchmarks AIME, MATH-500, and SWE-bench Verified. AIME employs other models to evaluate a model's performance, while MATH-500 is a collection of word problems. SWE-bench Verified, meanwhile, focuses on programming tasks. Being a reasoning model, R1 effectively fact-checks itself, which helps it to avoid some of the pitfalls that normally trip up models. Reasoning models take a little longer — usually seconds to minutes longer — to arrive at solutions compared to a typical nonreasoning model. The upside is that they tend to be more reliable in domains such as physics, science, and math. R1 contains 671 billion parameters, DeepSeek revealed in a technical report. Parameters roughly correspond to a model's problem-solving skills, and models with more parameters generally perform better than those with fewer parameters. Indeed, 671 billion parameters is massive, but DeepSeek also released "distilled" versions of R1 ranging in size from 1.5 billion parameters to 70 billion parameters. The smallest can run on a laptop. As for the full R1, it requires beefier hardware, but it is available through DeepSeek's API at prices 90%-95% cheaper than OpenAI's o1. Clem Delangue, the CEO of Hugging Face, said in a post on X on Monday that developers on the platform have created more than 500 "derivative" models of R1 that have racked up 2.5 million downloads combined — five times the number of downloads the official R1 has gotten. There is a downside to R1. Being a Chinese model, it's subject to benchmarking by China's internet regulator to ensure that its responses "embody core socialist values." R1 won't answer questions about Tiananmen Square, for example, or Taiwan's autonomy. Many Chinese AI systems, including other reasoning models, decline to respond to topics that might raise the ire of regulators in the country, such as speculation about the Xi Jinping regime. R1 arrives days after the outgoing Biden administration proposed harsher export rules and restrictions on AI technologies for Chinese ventures. Companies in China were already prevented from buying advanced AI chips, but if the new rules go into effect as written, companies will be faced with stricter caps on both the semiconductor tech and models needed to bootstrap sophisticated AI systems. In a policy document last week, OpenAI urged the U.S. government to support the development of U.S. AI, lest Chinese models match or surpass them in capability. In an interview with The Information, OpenAI's VP of policy Chris Lehane singled out High Flyer Capital Management, DeepSeek's corporate parent, as an organization of particular concern. So far, at least three Chinese labs — DeepSeek, Alibaba, and Kimi, which is owned by Chinese unicorn Moonshot AI — have produced models that they claim rival o1. (Of note, DeepSeek was the first — it announced a preview of R1 in late November.) In a post on X, Dean Ball, an AI researcher at George Mason University, said that the trend suggests Chinese AI labs will continue to be "fast followers." "The impressive performance of DeepSeek's distilled models [...] means that very capable reasoners will continue to proliferate widely and be runnable on local hardware," Ball wrote, "far from the eyes of any top-down control regime." This story originally published on January 20 and was updated on January 27 with more information. TechCrunch has an AI-focused newsletter! Sign up here to get it in your inbox every Wednesday.

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