Super Intelligence

Today, Zipline raised $1.5b at a $21.5b valuation. When we started Zipline, flying autonomously in the US was illegal. Which made it really hard to convince investors to give us money! But we were too naive to think that meant we shouldn’t try. We started the company on a cow farm. We worked out of run-down construction trailers so that we could keep engineering, manufacturing, and flight test all unified and in one place. Hiring people from normal companies like Google was hard because we didn’t have a cafe or laundry service. But enough risk takers and rebels wanted to go on an insane adventure with us. They became the early team. We decided to launch in smaller countries and focus on life-saving use cases. We hired incredible entrepreneurs and operators in Rwanda, Ghana, Cote D’Ivoire, and other countries. For eight years, Zipline expanded our service across Africa, serving thousands of hospitals and health facilities and reducing maternal mortality by 51%. Today, the network saves over 14k lives every year and is cash flow positive. Last year, Zipline launched at scale in the US and the service exploded. We grew flight volumes about 100x over the last 18 months, and now make more than a million deliveries a year per metro. We’re now expanding with our partners to millions of deliveries per day. Normal families love having access to anything they need in 10-20 minutes, no matter where they live. Spend more time with loved ones and less time worrying about errands. Zipline builds drone delivery that is silent and safe. No one wants to hear an extremely loud “swarm of bees” delivering to their backyard or their neighbor’s. Automated delivery needs to be insanely quiet, which guided the overall architecture of our technology delivering from 330 ft in the air. We are 6 times quieter than the closest competitor during delivery. Zipline also now has over 150m commercial autonomous miles (10x the rest of the industry combined) and no safety incidents. Neighborhoods should demand silent and safe delivery! Today, Zipline is announcing two things. First, we just signed the largest autonomous vehicle contract in human history to expand automated delivery nationally with Walmart, our first and biggest partner in the US. We’re starting by scaling to 300 supercenters throughout the country. Second, we’ve raised $1.5b at a $21.5b valuation from existing and new investors, led by Paradigm, WCM, and Layer. Zipline was a hard company to believe in for the first ten years of our history. Investors didn’t think the company was “investable”. Most people didn’t even think Zipline was an economic venture. Thanks to those who have rooted for us along the way. To all of the tens of millions of customers and families who rely on Zipline day in and day out: thank you for helping us build the future. Zipline has grown more than @ryanzip, @keenanwyrobek, I, and all others at the company could have imagined. There is a big opportunity to build a new layer of infrastructure for humanity over the coming years. We want to approximate teleportation. We can build a logistics network that connects and serves all people on earth. We can free human flourishing from the choking constraint of traffic and roads. There are no roads where we’re going. 🚀🌎

Introducing Liber-0, our World Action Model for zero-shot robot manipulation—including dexterous, multi-step tasks. Across 60 tasks proposed by GPT-6 and 600 trials, Liber-0 achieved 36% overall success without robot demonstrations collected specifically for those tasks: • Pick-and-place: 63.5% • Other manipulation tasks: 34.0% • Challenging multi-step tasks: 10.5% Zero-shot capability extends beyond individual actions to coordinated sequences. Pretrained on 2.2M+ hours of human experience, Liber-0 jointly predicts future observations and actions to turn human experience into robot skills. Technical blog: liberai.com/blog/liber0

ChatGPT and Codex are helping engineers build for the physical world. We’re sharing our progress across mechanical design, electrical engineering, and simulation—from helping our hardware teams iterate faster to testing new workflows with industry collaborators.

Our team used Gemini 4 Argon to build and edit this entire video, then displayed it on a real vintage CRT TV 📺 We used Argon in @Antigravity to script the 3D Blender boot animations and retro SuperCollider audio, then piped the signal via Raspberry Pi to a real TV screen.

Robots rarely fail on the clean runs. They fail on the edge cases. On Field Trips, @schrep and @gigascale watched our robot hit one live on camera and work through it on its own, with no human stepping in. That's what out DVA model is built for. 🎥 youtu.be/VnzfHhovGDk

We gave 10 frontier AI models control of a surgical robot in a simulated operating room. Across 800 trials, only two models completed the task at all: Gemini 4 Argon nine times, and GPT-6 Astra twice. Models claimed success 213 times. Every claim was wrong. In 94 of them, the robot never touched the object. Introducing Dual-Arm Sim, our new robotics benchmark evaluating how well frontier models can control embodiments in simulated environments. More info in thread around what we tested and found.

A ‘hello world’ milestone for Project Suncatcher 🚀 After launching our prototype satellite a few weeks ago, we’ve now successfully sent a command up to orbit, booted up the TPU, ran the prompt, and received our first complete response back on earth - a haiku!