the team is in argentina day 1

Announcing the Dimensional Residency For hungry founders eliminating physical labor with robots in any vertical No equity, just free hardware, access to customers, test environments, and engineering support to scale deployments 3 months. 10 teams. Apply now.

my latest game @OnDeck is a robot that connects to my openai subscription and can observe, think, and explore autonomously by using the new web sdk by @dimensionalos

Update: We're now here And we're not ready for what's coming next

Introducing the Dimensional Hardware Grant Program We’re giving away quadrupeds and arms to devs and creators to build with dimOS Deploy robot agents as easily as software Apply below, reply with your project ideas and we’ll fast track your application

I'm hiring a head of storytelling to document our mission as we scale to 1000s of shipped robots and build the application layer for atoms Profound taste, technical knowledge, and end to end creative execution experience required After AGI only human stories remain

I just fixed my dishwasher with the help of ChatGPT. A trivial task. I had been about to order a new one. So this software has increased the country's real wealth yet decreased the measured GDP. The main economic indicator is structurally incapable of registering the thing that actually makes people better off, namely the growth of knowledge

The Astra videos are fun. But I am trying a much cheaper setup with my laptop, around 11GB of open models and a $1.6k @UnitreeRobotics Go2 Air After one walk I can search what the dog saw and where it saw it. Next I want it to recognize those places when we go back and use that memory This is the Air, not the EDU model with official support for secondary development. It was not really built for this, which makes it more fun I drove it around my apartment (sorry for the mess) and github.com/dimensionalOS/dim… (@dimensionalos) recorded frames along with LiDAR, odometry and transforms. Having the images and the robot's position in one recording gave me something to build on On the right of the video, the dog is map filling in with what it saw where. The left one shows what it detects Three very small and open models ran later on my laptop: SigLIP around 200M parameters, made the frames searchable. huggingface.co/google/siglip… Qwen3-VL-8B in 4-bit through @ollama described the selected views and checked search result github.com/QwenLM/Qwen3-VL Moondream2, from @moondreamai supplied the object boxes huggingface.co/vikhyatk/moon… All zero shot. We can upload the recordings and saved maps to the @dimensionalos cloud and download them later. The goal is for the Go2 to know where he is and where is what Next step is running this minimal stack on a 16 GB @NVIDIAEmbedded Jetson mounted on the Go2 Air

MAKE IT SMALLER! MICROER! DUCKIER!

Drivers? where we are going we don't need drivers

I looked at manufacturing ramps (from Chinese and US robotics and car companies) a few years ago and ran a poll here. My own back of envelope estimate then was tight-ish on ~1M, with a steep curve (~1B by ~2035). It hinged a lot on when we hit a “useful enough for industrial use cases” bar, which I had quite late: 2028-2029 (so the ramp starts late in the period). Since then, the capital scale realized so far in AI derisked some of the downside cases, so my updated view (still very informal) is wider: - ~1-10M if it still takes 2-3y to figure out the AI models - and much more open (~20%?) to 10-100M if (a) we get good models in 1-2y to cross over the “useful to industry” bar sooner, (b) the AI companies continue scaling revenue ramps smoothly (ie don’t trigger a gigantic bubble that chokes/slows things down for 1-2y), and (c) we avoid AI takeover/disaster scenarios. War adds high variance: can speed up a lot (drawn out war accelerates transition), or slow it down (fast war breaking economies). The shape of the curve (very fast manufacturing ramp, going from 100Ks to 100Ms in 2-5y) I think is stable. Which year it inflects & how quickly depends on factors above. I should also add: my totals today include human-sized robots with similar strength & dexterity, that may not be strictly humanoids. Because we may or may not outgrow the “must-be-human-looking” requirement, but im more interested in how we get to automation of all production. 2030 might still be similar to today, but 2035 will be very different. nitter.net/juanbenet/status/18713…

AI can do many wonderful things and grant many wishes, but we have only one earth, one California, one Patagonia, one Mendoza. USA and Argentina are two of the freest countries that also happen to have the most glorious land and geography. I'm very long 🇺🇸🇦🇷. We're so early.

The fragmentation between China and the US is not commerce, it’s labor architecture. Palmer isn’t wrong!

Hundreds of 2d photos lifted into 3d. Left exactly when and where they happened at TED. Now I can fly through this spatial memory palace and jump between moments -- from the green room to backstage to the main stage. Imagine your entire camera roll coming to life like this.

HopTo’s Hop-1 is a hybrid hopping-and-flying robot built for rough terrain. It looks weird at first, but the logic is actually pretty smart. Flying all the time burns a ton of energy just fighting gravity, so they let the robot spend most of its time bouncing on a passive spring instead. The rotors mainly steer, put back the energy lost on each hop, and only fully take over when the robot actually needs to fly. HopTo says hopping uses around 25% of the energy of continuous flight. So the whole idea is pretty simple: stay on the ground as much as possible, and only fly when you have to.

BREAKING: The Robot Lamp Wars are coming. Choose your lamp! They’re all cute, use AI and are animatronic. 🇻🇳 - @dee_hw Autonomous AI 🇺🇸 - @natalieyeo PlaiPin 🇯🇵 - @skylark_mmm Nightingale01 🇫🇷 - @Karim_RC Ongo 🇺🇸 - @SarkaryShahvir LeLamp Which one is your favorite one?