without people, there’s no Open AI!!

Congrats son of a peasant 💪💪💪

Heartbreaking end to Max’s race 😣 #F1 || #MonacoGP 🇲🇨

Is it a national Blackout? The entire Entebbe has no electricity now? Do you have?

It you run into difficulties, find a Party member. If you need service, find a Party branch

Ryanair talking about toilets is crazy when yours are so tiny you have to stand in the aisle to wipe.

Who has felt the earthquake around Entebbe @ 21:30 31 June 2026??

Unitree building things we dreamed about when we were kids!!

Hi 👋 I am Summer and I am building my dream companion robot. ☺️ Today is Day 8 update, I customized facial expression of my robot using Xiaozhi assets generator, but faced a issue due to small PSRAM (8mb). So I referenced Roboeyes repo (github.com/fluxgarage/roboey…) to programmatically render my robot’s facial expressions. Enjoy and let me know what you think :) #esp32 #robotics #engineering

This combat robot from North East University of China really gives off Star Wars vibes.

Robotics lab, ca. 2026 ember-lab.eecs.berkeley.edu

9 years old. While most kids are playing mobile games, this kid is already diagnosing circuit boards under a microscope at midnight.

Americans cheering on two Chinese companies competing in San Francisco 🤣😂🤣😂

ROBOTUO｜X-Meet 0001. We project that by the 200th X-Meet, China will have achieved a crewed lunar landing. By the 800th X-Meet, humanity will have set foot on Mars. Hopefully our open-source robots and related products will help this journey for the world.

More and more sci-fi scenes are happening in Shenzhen. You’ve gotta come see it in person.

Second price drop in two days! On top of the base 75% off, stack an extra 90% discount for cache hits — that brings it down to just 0.003625USA/0.025 RMB per 1M input tokens with cache hit~ 🎉💰 Go wild and have fun~ 🚀 📌 Just a heads-up: the cache discount is permanent, while the base 75% off promo runs until May 5th — so make the most of it while you can! #DeepSeek #AGIforEveryone

BYD Chairman Wang Chuanfu and his wife, both corporate executives, took the subway to attend the Beijing Auto Show. It is said that the ground is prone to traffic jams.😃

Yes, our latest special guest is Fuli Luo @_LuoFuli . The second battle in the global large model arms race has begun: shifting from the Chat era dominated by pre-training to the Agent era driven by post-training. This marks Fuli Luo’s first-ever interview, as well as her first in-depth technical conversation. We talked systematically about the massive AI upheaval triggered by technological breakthroughs including Claude Opus 4.6 and OpenClaw in 2026, along with its subsequent structural impacts across the industry. Amid the fierce large-model arms race, the world around us is undergoing brutally rapid changes—even for researchers who train models firsthand. “I used to believe our work was highly creative, and could never be simplified into fixed skills or standardized workflows. But now I realize it can be automated after all. If that’s possible, can models train stronger models on their own? Can they achieve iterative improvement through self-evolution? This is exactly what will unfold in the next couple of years,” Fuli Luo says. As human knowledge and wisdom are internalized into model capabilities, what will humanity pursue in the future? Is our society truly ready for this tsunami-scale technological revolution? All in all, this is an information-dense dialogue. It reveals how an AI lab makes strategic technical bets, allocates resources, and adjusts organizational structure and team planning amid a major paradigm shift. At the core of its response to drastic change lies its established culture and core values. Though lengthy and technically intensive, we hope this conversation brings great insights to every viewer. Our podcast, video episode and article are released simultaneously across platforms, with English subtitles provided to assist non-Chinese-speaking audiences. Luo Fuli: OpenClaw, Agent Frameworks — The AI Paradigm Has Already Chang... youtu.be/V9eI-t3TApE?si=WBSo… 来自 @YouTube

Kimi k2.6 used DeepSeek’s v3 architecture. DeepSeek v4 used kimi's muon optimiser. 1.6 trillion parameters & 1M context - both match or beat closed models on benchmarks while being 8x cheaper. Both build on each other's breakthroughs. Both keep shipping frontier LLMs w far less & nerfed NVIDA GPUs. China’s full domestic stack/ecosystem chip-model-cloud is now on full speed. Debate on distillation all you want. The dragon 🐉 is fully awake & good luck stopping it.