sell the robots.
California, USA
Joined May 2009
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For the last decade, my craft has been 0 → 1 GTM.
Finding the right first customers and use cases. Defining what success looks like. Testing the motion until it repeats.
In a lot of ways, it all feels like it’s been building toward Dyna.
Here, that means getting out of the office and into the places where Taku will actually work.
On a recent trip, Amy, our Head of Product, Skyler, one of our deployment engineers, and I spent the day on the road deep in the East Bay. We walked four hotel laundry rooms where Taku could go to work next. We hadn’t even started a POC yet.
Every hotel was different. Towels, carts, layouts, workflows. Things you don’t learn on Zoom.
We’re doing a lot of this right now: getting into the field early, learning what changes from site to site, and bringing those lessons back to the team as we build a repeatable motion.
We each own a part, but we’re all responsible for whether the whole thing works.
Proud to keep sharpening my craft alongside this team. Here’s more about what that looks like at Dyna.
Taku takes its name from Takumi, a master craftsman.
Behind it is a team united by a love for what they do and a relentless pursuit of excellence.
Meet the people and the craftsmanship behind robots built to last.
Come build with us: dyna.co/careers
miles kane retweeted
So this is who made Taku--comfortable, practical, and built by these very craftspeople.
It's nice to finally see the faces behind it. Humanoid robots that last come from people who truly care about the work.
🤝 Paid partnership
Taku takes its name from Takumi, a master craftsman.
Behind it is a team united by a love for what they do and a relentless pursuit of excellence.
Meet the people and the craftsmanship behind robots built to last.
Come build with us: dyna.co/careers
miles kane retweeted
From the audience seat, the robotics industry is always surrounded by celebration: the fancy demo, the massive raise, the spotlighted stage, all the fun stuff.
When you're in the game, you know those "dopamine moments" only last a few minutes.
It's the few minutes an athlete stands on the podium, after hundreds of thousands of reps.
It's the few minutes a musician plays one piece to a full hall, after years of rehearsal.
It's the few minutes a rocket climbs off the pad, after years of engineering.
It's the few minutes a craftsman hands over the finished piece, after a lifetime of refining the same cut.
If you only enjoy those few minutes, I'm afraid the robotics game will disappoint you. If you enjoy the craftsmanship behind them just as much, welcome to the game.
Taku takes its name from Takumi, a master craftsman.
Behind it is a team united by a love for what they do and a relentless pursuit of excellence.
Meet the people and the craftsmanship behind robots built to last.
Come build with us: dyna.co/careers
miles kane retweeted
Management efficiency at its best: a flat team, zero cross-functional friction, and the freedom to tackle problems that matter. Whenever we need resources, teammates are always eager to help. Check out our craft video below: 📷
Interested to apply? Check dyna.co/careers
Taku takes its name from Takumi, a master craftsman.
Behind it is a team united by a love for what they do and a relentless pursuit of excellence.
Meet the people and the craftsmanship behind robots built to last.
Come build with us: dyna.co/careers
miles kane retweeted
Growing up, my biggest dream was to become a professional soccer player performing at the highest level.
I never made it to the senior pros. Life had other plans, as they say. Somehow, a random kid growing up with the ball along the Mekong river in Vietnam ended up at Penn, where I got my hands on a robot for the first time. I spent nearly all my waking hours there working on reinforcement learning and robotics research, and eventually came to Dyna as a research scientist.
There's something about being a professional athlete that every kid dreams of. You wake up knowing what you want, spend an unreasonable amount of time getting better at it, and care about winning probably more than you should. It's that sense of purpose in what you do, and the feeling of chasing mastery.
The other day, I pushed this one training feature that shot up our models' precision and capabilities across our office experiments and deployments all at once. A coworker dropped a Messi photo in Slack (swipe for the receipts 😭). I was smiling at my screen for a while.
I think that soccer dream never really faded. I just found something else I wanted to master along the way. And at Dyna, I've found the other parts of what I loved about soccer: a locker room locked in on the same goal, and teammates who somehow make you want to run another kilometer when your legs are already completely dead. You look to your left and right, and some of the best players of this generation trust you with the ball just as much as you trust them.
I guess robotics & AI is my sport now. In a way, even the models I train are out there competing in their own sport, where quality, throughput, and reliability across all capabilities are the goals they have to score, no matter what the real world throws at them. And ofc, the models (and Taku 🤖) are obsessed with learning and mastering all their crafts too!
It's been quite an adventure working on Dyna-2, Dyna-2.1, and bringing Taku to life. Pretty damn happy I get to keep making history with this team. We've got a lot more goals to score ⚽️🦾
Taku takes its name from Takumi, a master craftsman.
Behind it is a team united by a love for what they do and a relentless pursuit of excellence.
Meet the people and the craftsmanship behind robots built to last.
Come build with us: dyna.co/careers
miles kane retweeted
A friend at Dyna once told me his career goal is to put 100 million robots into the world. I think that sums up why many of us are here: an ambitious vision, backed by a grounded understanding of what it takes to get there.
Robotics is a complex systems problem. No matter how much you know, there's always another part of the stack you don't. What I love about Dyna is being surrounded by people who are masters of their own craft, and getting to learn from them every day.
Building useful robots takes much more than a great model. It takes the full stack, and a team that knows how to bring it all together. If this sounds like the kind of challenge you'd love to work on, come join us!
Taku takes its name from Takumi, a master craftsman.
Behind it is a team united by a love for what they do and a relentless pursuit of excellence.
Meet the people and the craftsmanship behind robots built to last.
Come build with us: dyna.co/careers
miles kane retweeted
Had a lot of fun briefly visiting @JasonMa2020 at @DynaRobotics on the way back to the airport. Super impressed and got to meet Taku (it works! Its real!)
miles kane retweeted
👇 probably the most impressive photo in @DynaRobotics 's deployment blog
someone should talk about PLG in robotics :)
source: dyna.co/research/scaling-cus…
The best robotics demo is a reorder.
@DynaRobotics says Din Tai Fung signed a bigger contract after deploying napkin-folding robots across locations.
Show me sites live, repeat orders and margins after support.
Pilot count is messaging market fit.
Growing the total number of robots deployed at the individual location level and the total number of locations is product-market-fit.
Good work by Dyna.
miles kane retweeted
The best robotics demo is a reorder.
@DynaRobotics says Din Tai Fung signed a bigger contract after deploying napkin-folding robots across locations.
Show me sites live, repeat orders and margins after support.
Pilot count is messaging market fit.
Growing the total number of robots deployed at the individual location level and the total number of locations is product-market-fit.
Good work by Dyna.
miles kane retweeted
A proud moment for the team behind Taku!
Thank you @RoboStrategy for bringing us together at Nasdaq.
miles kane retweeted
Robots That Predict the Future: Dyna-2, Million-Hour World Models, & the Bitter Lesson of Robotics
@DynaRobotics’s @JasonMa2020 explains how world-action models predict the future to guide physical robot actions, why training on over a million hours of human video lets robots adapt to new tasks with as little as 45 minutes of demonstrations, how synthetic data and self-improving world models could accelerate robotics, why agentic harnesses are enabling hour-long autonomous workflows, and how the Bitter Lesson of scaling, full-stack hardware, and real-world deployments at Din Tai Fung are turning physical AI from impressive demos into useful robots.
miles kane retweeted
Nice breakdown of some of the choices we made in Dyna-2.1!
Inspired by the discussion between @qiayuanliao and @wenlong_huang, @kun_h____'s explanation, and insights from Pengxiang and Junfeng. I admire @DynaRobotics' thoughtful choices and look forward to what's next.
miles kane retweeted
Why are frontier physical AI labs like @DynaRobotics and @gs_ai_ building their own hardware?
Dyna’s latest release, Dyna-2.1, offers some clues.
Dyna has been doing stationary arms, with deployments like napkin folding at Din Tai Fung. They got really good at it, with a demo showing them folding napkins for 24 hours straight without a single failed fold.
The problem was that humans still had to babysit the robots. It wasn't because they weren't reliable, but because they needed to clear napkin stacks, refill the bin, etc. Any process is only as fast as its slowest bottleneck, so if humans are waiting around for robots to do their task, or vice versa, it nerfs the ROI.
So Dyna released Taku, their own semi-humanoid robot. It has a wheeled base, a folding lower body, and two arms with grippers. With Taku, Dyna can open the aperture for the tasks it can accomplish and remove more humans from the loop. In a laundry room, Takyu can do it all: load, unload, fold, and shelve laundry.
Genesis' Eno is also a semi-humanoid robot. This has two benefits. First, it lets the robot learn from human data, which is still easier and cheaper to collect than robot demonstrations. It also takes out the most difficult part about building humanoids: the legs and the hands.
With their own hardware, these labs can iterate faster. Dyna describes all motion, human or robot, in one shared format. When the hardware changes, Dyna retrains the low-level controller in simulation and keeps everything else. Data from every robot generation remains useful indefinitely.
A workflow, like doing laundry, has many, many substasks. Dyna estimates a laundry cycle at about 79 steps. If each step is only 95% reliable, the whole cycle succeeds less than 2% of the time.
The lesson that Dyna learned from deploying robots is one that others will soon learn too. Building useful robots means owning the entire stack and engineering reliability into every single part.
miles kane retweeted
but there has also never been a more interesting time to lead sales or finance! what sales hiring, training, comp cycles are compressible? what business models align with customers? how to preserve margin/manage supply risk? if intelligence makes products ~universally better, how much can we spend on compute? what credit creativity do we have?
miles kane retweeted
We’re ringing the Nasdaq closing bell with a bunch of @RoboStrategy portfolio robots next week
Before that we’ll be hosting a Robotics Forum with the founders and senior leaders from @Apptronik, @standardbots, @DynaRobotics, @DexmateAI, @mavenrobotics, @PathRobotics, @noxmetals and more
Who are the best large public equity managers interested in robotics? We have a few spots reserved for them.
globenewswire.com/news-relea…