Serial Entrepreneur & Investor | Forbes30u30 | Founder @opendesciorg Driving the Future of Science with Decentralization & AI #OpenDeSci#DeSci#Blockchain
Your agents can now coordinate with your teammatesโ agents.
Projects has been rebuilt for multiplayer: every teammate and their agents can now work together in one unified workspace.
@guohao_li@env_lab_ai@Eigent_AI Agree it's research, not plumbing. An environment is only as good as its grader; a weak check just teaches the agent to game it.
Mercedes-Benz and Apptronik in the proof of concept says where this lands first: factory floors. The German Mittelstand should be piloting now, not waiting for version 4.
Gemini Robotics 2.5 is here. ๐ค
Our latest physical AI is able to learn hundreds of everyday skills - from folding laundry and serving pastries to autonomously sorting car parts on the factory floor.
Hereโs a snapshot of its capabilities ๐งต
@business If it happens, it's the first time outsiders can read a frontier lab's full numbers. That alone will reprice the whole sector, in one direction or the other.
@MagnusGrimeland "Raise as much as you can while it's cheap." In Europe I've seen more good companies stall on a valuation they couldn't grow into than run out of money.
Agree. And when discovery gets cheap, the scarce thing becomes checking it. That was the core of our piece with St. Gallen: when output is cheap, verification becomes scarce.
@piotrsankowski Agree. Running an AI institute myself, the hard part isn't ideas. It's keeping people when London and the Bay Area pay several times more.
@McKinsey_MGI Pace is the whole story. In the Mittelstand I see pilots everywhere and very little in production yet. That gap is where the $1.9T gets lost.
@TomasMann1878 For Berlin: Factory Berlin for the startup crowd and Tempelhof field on a sunny day. In Shenzhen, Huaqiangbei is a must. Ping me when you're here.
๐จ๐ณ China surprised me again. And I think more people should see it for themselves.
Here are 10 things that stood out to me ๐
1. The rhythm of daily life. ๐
Crazy Chinese work ethics, they work super hard and smart, AI and consumer robotics are everywhereโฆ
2. The rise of Chinese brands. ๐
Nike and Louis Vuitton are no longer the only aspirational names. Domestic brands like Anta and Li-Ning are increasingly visible.
3. Chinese EVs are seriously impressive. ๐
The technology, features and price-to-value ratio made me rethink, currently driving a BMW. Thinking my next car will be Xiaomi or Zeekr.
4. Service is taken seriously. ๐ค
The hospitality and attention to detail I experienced were exceptional.
5. The railway network & infrastructure ๐
Fast, comfortable and well-organised. Travelling between cities was an experience in itself.
6. Infrastructure at scale. ๐๏ธ
On a roughly two-hour drive to Leshan, near Chengdu, I was surprised by the highway quality and no construction.
7. Cleanliness, organisation ๐ผ
Visiting Chengduโs giant panda research base, I was struck by how clean and well-maintained & organised the park was.
8. Data-driven toilet operations. ๐
I was surprised to see AI-enabled monitoring and KPI dashboards used in public toilet management.
9. A different digital ecosystem. ๐ฑ
WeChat Pay and Alipay make everyday payments incredibly seamless. Even saving a few seconds at checkout matters when multiplied across millions of transactions.
10. A different media perspective. ๐บ
I also watched CCTV news in the evenings. The news are way more educational & fact driven from what Iโm used to on German television. It reminded me how much our perspective depends on the sources we consume.
My biggest takeaway?
For entrepreneurs, investors and business leaders, curiosity is a competitive advantage.
๐ Go where the future is being built. Talk to people. Try the products. Observe how things work. Form your own point of view.
@lukas_m_ziegler@EmbodiedAI_ch Starting on factory floors is smart. The Mittelstand has endless dual arm tasks. The real test is cost per hour against a classic cobot.
@cactuscompute 22 MB with German built in is a big deal for European industry. Factories that can't send images to the cloud can keep vision on the device.