Founder turned investor. Managing Partner @ZhenFund. Wrote first checks in Kimi, Manus, Genspark, Dyna, Inferact, etc. Co-founder of NYSE:JMEI. Stanford dropout
Beijing | Palo Alto, CA, USA
Joined July 2007
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Yusen DAI | 戴雨森 retweeted
Robotics is entering its scaling law era.
Dyna-2 isn’t a one-off demo. It addresses one of the biggest constraints in robot intelligence today: data.
We show that as human experience scales from 1,000 to 1,000,000 hours, robot intelligence keeps improving, including on robots and tasks the model never saw during pre-training.
More data. Better generalization. More capability. More use cases and deployments.
And we’re already seeing capabilities emerge with scale that surprised us.
Dyna-2 isn’t the only breakthrough we’ve been working on. There’s a lot more coming in the next few weeks.
Today we are introducing Dyna-2, a world-action model pre-trained on one million hours of human video. At this scale, for the first time, we discovered several new scaling laws:
• world-action models exhibit scaling law on human data across four orders of magnitude, from 1000 to 1,000,000 hours,
• this human data scaling law implied a scaling law on never seen robot data,
• both data and objective matter; world modeling and scaling on video data are essential for cross-embodiment scaling transfer to emerge
🧵
Yusen DAI | 戴雨森 retweeted
After so many demos, models, pilots, robots are still struggling to land real deployments with real customers. Until now.
Today we’re excited to share that our robots have successfully crossed the ROI threshold, and Din Tai Fung, one of the highest revenue per location restaurant chain in the US, is rolling out Dyna robots across its extensive restaurant network.
This brings our rollouts across hotels, logistics, data centers, and many other use cases to a fleet that reaches hundreds of robots by the first half of 2027. And we’re just getting started.
It’s been a wild year, and today we’re double clicking on the battlefield stories and sharing a few learnings about scaling robot deployments. We are just scratching the surface.
Read the full blog post: dyna.co/news/scaling-custome…
Yusen DAI | 戴雨森 retweeted
This is our release that I am actually most excited about because it shows and proves what truly matters. Deployment is the ultimate prize and the only reliable eval for robotics. After having worked on so many research projects and models in my career, where I saw so many new capabilities I had never seen before, there was always a question in the back of my mind: do they matter and how?
At a time in robotics where the signal-to-noise ratio is so low, where there’s so many demos, models, pilots, you see everyday, the conclusion I arrived at has always been shipping our models, robots, and entire systems to real customers and proving that they actually fulfill a need for real people. Showing a demo is easy, proving that the robots create sustainable value for customers over a long period of time is extremely hard. We know it's hard, but we also know it's necessary to get right. This mindset is also why I decided to start Dyna with @Lindon_Gao and @YorkYang5050 in the first place, because our heart has been focusing on the right problems from day 1. It’s great to see the whole team’s effort culminating in this first scaled deployment release of its kind for the industry. But we are just getting started, and I am more excited about the future of the physical economy than ever before.
After so many demos, models, pilots, robots are still struggling to land real deployments with real customers. Until now.
Today we’re excited to share that our robots have successfully crossed the ROI threshold, and Din Tai Fung, one of the highest revenue per location restaurant chain in the US, is rolling out Dyna robots across its extensive restaurant network.
This brings our rollouts across hotels, logistics, data centers, and many other use cases to a fleet that reaches hundreds of robots by the first half of 2027. And we’re just getting started.
It’s been a wild year, and today we’re double clicking on the battlefield stories and sharing a few learnings about scaling robot deployments. We are just scratching the surface.
Read the full blog post: dyna.co/news/scaling-custome…
Yusen DAI | 戴雨森 retweeted
A Note to Our Users
Manus will soon resume operating as an independent company.
As part of this transition and to comply with regulatory requirements in specific jurisdictions, some users will need to back-up their data before 7:59 a.m. on August 23, 2026 (SGT) and then begin restoration starting from 8:00 a.m on August 25, 2026 (SGT) to ensure normal usage.
More information can be found in the blog post and we’ve provided detailed guides, including to understand if you’re affected, in our Help Center
For affected users, these are the key details:
We’ll notify you by email and in the Manus app. If you signed up with an Apple ID or Facebook account, please check your in-app notifications.
Back up your data from now until August 23 (SGT) before 7:59 a.m. You can back up more than once, you can create new data after backing up, just run it again.
Starting from 8:00 a.m. on August 25 (SGT), the restoration portal will open. Restore your data and pick up right where you left off.
Affected users will not be charged during the transition, and we will be providing welcome back bonuses.
If your account is not affected, you don’t need to do anything - keep using Manus as usual. You’ll get an in-app notification confirming this.
For those affected, we know this is disruptive and we’re sorry for the inconvenience. Supporting you through it is our top priority. In addition to the full guides in the Help Center, our customer service team is ready to help 24/7 with any questions.
As we look ahead, we couldn’t be more excited by the future. We’re preparing a series of new features that will push the boundaries of what’s possible for general AI agents once again.
Thank you for being with us as we go through this process together. The best is still ahead.
Yusen DAI | 戴雨森 retweeted
After 8 months, Wuji Hand fully upgraded.
Wuji Hand 2 -- Creating for elegance, redefining the dexterous.
Learn more: wuji.tech
Sales Inquiries: [email protected]
Careers: [email protected]
#wujitech #wujihand #Robotics #DexterousHand #EmbodiedAI #PhysicalAI
Very excited to partner with
@inferact in support of their mission to build the inference engine for AI. ZhenFund is proud to have been an early supporter of @vllm_project. Huge congrats to
@simon_mo_, @woosuk_k, @KaichaoYou, @rogerw0108, @istoica05, and the rest of the founding team.
vLLM has grown to 2000+ contributors scale with a diverse community of model, hardwares, and applications. I see @vllm_project on the path of becoming the world's inference engine and @inferact to accelerate AI progress. We cannot be more excited about the road ahead.
Yusen DAI | 戴雨森 retweeted
being asked how to experience the full version of the Kimi K2 API from our official platform. Simply visit platform.moonshot.ai/, click on 'Console' and then 'Recharge.' You will receive a $5 voucher after your first successful payment. We have a clear rate limit schedule, and if you reach the threshold, it's time to upgrade to the next level. If there’s anything we can assist you with, please feel free to leave your comments here.
Yusen DAI | 戴雨森 retweeted
I finally wrote another blogpost: ysymyth.github.io/The-Second…
AI just keeps getting better over time, but NOW is a special moment that i call “the halftime”. Before it, training > eval. After it, eval > training. The reason: RL finally works.
Lmk ur feedback so I’ll polish it.
Yusen DAI | 戴雨森 retweeted
We’re beyond grateful for the amazing community that’s taken shape around Manus already.
To get to know you better, we're hosting some in-person Manus meetups in the coming days:
San Francisco 3/26
San Francisco 3/27
Provo 3/29
NYC 3/31
Tokyo 4/9
DM for details - we hope to see you there!
