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They make it sound easy.
I guess they think this all happens by magic or something.
So, I laid it out straight for them.
I said, "Yes, I can do it."
Pablo Pernías retweeted
I read about an experiment where people are paid to build little Lego action figures called Bionicles. They’re paid for each one they complete, but each one pays a little less than the last. $2 for finishing the first one, $1.89 for the second, and 11 cents less for each one after.
The builders are split into two groups. In one group, each Lego figure is taken apart after it’s finished and the pieces put back in the box. In the other, completed figures are kept intact and lined up on the desk in front of them. The more figures they build, the fuller the desk gets.
The second group keeps building longer, even as they get paid less and less.
People want to get paid, sure, but they also want their work to amount to something. At the most basic level, they want their work not to disappear the second it’s done. And that’s just in an experiment.
In real life, work gets tangled up with who you are and how you spend your life. People want something to show for their work. They want to see their creations in their hands, on screen, on display, out in the real world. They want to go to dinner with friends and family, show them something, and say, I made that.
The Valley likes its binaries. Mercenaries versus missionaries. And all the talk about how much we prefer to work with the latter. The Lego experiment draws out a third motivation that the binary misses. For makers, making the thing and the finished thing itself are part of the reward, along with the simple recognition of having made it.
The headlines make AI research look a lot like free agency. Researchers swapping team jerseys and getting poached by big labs and bigger offers. Some of this is real. But the best people always have options. A lot of companies can pay them well. Not that many can give them something genuinely hard and new to work on that really matters.
There are different kinds of things people want to have made.
Some people want to take a new capability and figure out how to package it, get it into people’s hands, make it a bit more useful. Others want to be on the ground floor of creating an entirely new capability. Every technology wave has people moving the frontier, and others figuring out what to build with what just became possible.
I’ve always been drawn to creating that new thing. There’ll always be another chance to arbitrage what’s already been made. And there’s something hard to really price about getting to create the primitive that other people eventually build on. That motivation to keep finding the next crazy thing has kept me playing the long game.
The beauty of building on the frontier is there’s reward on both ends.
There’s a reward while you’re making the thing, especially when it’s hard enough that you don’t know if you can and important enough that people care that you figure it out. Then there’s the thing you’ve brought to life. Over time, the artifacts add up to a body of work. And the body of work becomes part of the reward.
The long-term version of this is pretty simple. Once people make one thing they’re proud of, they tend to want to make another. And it’s nice when the people you spend all day making stuff with feel like your kind of people, and you admire them. You admire how they think, how they approach their craft, their values and standards, their taste.
An underappreciated part of choosing where you work is choosing who you want to become more like.
The pay should still be good. Great, even. But by then, it’s not the only thing keeping you there. A place where you keep getting to make things you’re proud of, surrounded by people you respect, becomes a place you want to stay.
Mercenaries want money. Missionaries want purpose. Makers want to make. They may want money and purpose too, but they want them by way of what they create. Makers want something they’re proud to have made, with people they’re proud to have made it with. Something they hope stays standing when the work is done.
Something to show for it.
Pablo Pernías retweeted
We sent a swarm of AI agents to solve Karpathy’s NanoChat benchmark, and they crushed SoTA in 3 days.
We built our own harness on top of a graph database to do auto-autoresearch, each iteration learning from mistakes to do research better.
The team wrote >15,000 entries. 🧵
Pablo Pernías retweeted
We crossed $200M ARR last week, doubling from $100M in April.
Runway is the world model company. We power the daily work of more than 60 million creators and 95% of the Fortune 100. From award-winning films and ad campaigns to real-time media applications to generalist robotics. Our largest customers are increasingly licensing our frontier models directly.
As we expand our research in robotics, the wonderful team from Kinetix, a Paris-based research lab, is joining Runway to help drive our efforts there.
Proud of the team for getting us here. Back to building the universal world simulator.
Pablo Pernías retweeted
In the last 10 days, we announced Solaris, GWM 2 Worlds, the new Teams plan, Runway Dev MCP, Runway Ruby and the world went crazy playing HORSE. We also launched Runway Agent 10 weeks ago. It now has over 2 million users who have exchanged more than 100 million messages with it and built over 10,000 custom skills on top of Agent.
Still, what’s coming from Runway might be among the most consequential releases we’ve ever made.
Pablo Pernías retweeted
Manny got a bit carried away! @runwayml @c_valenzuelab
Pablo Pernías retweeted
We raised $5M from Y Combinator to scale AI scientists whose own breakthroughs accelerate the next.
In days, they matched top models on ARC-AGI at up to 10,000× lower cost, every gain from methods they invented themselves.
How it works below:
Pablo Pernías retweeted
Runway's Agent 2.0 is state of the art in narrative coherence, cinematic language, and production quality. Agentic video generation is becoming an entirely new product category, opening the door to a whole new set of users and applications.
🎬 Video agents can now generate minute-long videos. But can they actually direct?
Today, we’re launching 𝐏𝐡𝐲𝐬𝐢𝐨𝐧-𝐀𝐫𝐜 1.0, a new benchmark evaluating complete, multi-scene videos across narrative coherence, cinematic language, and production quality.
We tested @runwayml, @LumaLabsAI, @MiniMax_AI, @Kling_ai , @UtopaiStudios and @TapNow_AI on 100 screenplays and 600 generated videos.
🏆 𝐑𝐮𝐧𝐰𝐚𝐲 𝐀𝐠𝐞𝐧𝐭 2.0 𝐫𝐚𝐧𝐤𝐞𝐝 𝐍𝐨. 1 𝐨𝐯𝐞𝐫𝐚𝐥𝐥 𝐚𝐧𝐝 𝐥𝐞𝐝 𝐞𝐯𝐞𝐫𝐲 𝐞𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧 𝐝𝐢𝐦𝐞𝐧𝐬𝐢𝐨𝐧. Its advantage was especially clear across subjective metrics, where cinematic taste matters most. Runway ranked first on all eight.
🔗 Read the full benchmark: lnkd.in/g-5tcwK7
Pablo Pernías retweeted
The restaurant is opening, and the chefs are starting to cook something delicious, something you've never tasted before.
Today we're announcing the opening of Runway's first office in France, establishing a new research hub in Paris anchored by an initial team of ten employees.
France is one of the world's strongest AI ecosystems. Its concentration of world-class research institutions, the depth of engineering talent coming out of them and the French government's sustained investment in AI infrastructure make it one of the most important places to be building frontier AI.
We're hiring in Paris, and across Europe. To learn more and apply for open roles, visit the link below.
Introducing Another Big Ad Contest For Products That Don't Exist. Your chance to make any ad you can imagine for up to $100K in cash prizes. No client notes. No producers saying no. Just 7 new briefs to choose from and 4 weeks to make your wildest concepts come to life. Big ideas win big.
Learn more and get started at the link below.
Pablo Pernías retweeted
Yesterday, we hosted our 4th Annual AI Festival at Lincoln Center in NYC, our biggest and most ambitious festival yet.
A sold out audience had the opportunity to hear Ron Howard discuss the role of technology in filmmaking before watching the 10 finalist films. The films were just extraordinary. This year’s selections raised the bar yet again.
A demonstration of what’s possible when powerful new tools are placed in the hands of great artists.
Thank you to our partners: Lionsgate, Tribeca Festival, The Gotham, Monks, Adobe, Roku, and NVIDIA.
And congratulations to all of the creative minds who shared their work with us. The future of media, entertainment and art is being written right now.
Pablo Pernías retweeted
The (current) Next-Gen Video model, now available on Runway. Go have some fun today!
A breakthrough in real-time video generation.
As a research preview developed with @NVIDIA and shared at @NVIDIAGTC this week, we trained a new real-time video model running on Vera Rubin. HD videos generate instantly, with time-to-first-frame under 100ms. Unlocking an entirely new creative paradigm and bolstering the foundations of our General World Model, GWM-1.
Real-time generation opens a fundamentally different design space for video models and world simulation. We're investing in co-designing our models alongside advances in hardware to keep pushing this frontier.
Introducing Image to Video for Gen-4.5, the world's best video model.
Built for longer stories. Precise camera control. Coherent narratives. And characters that stay consistent.
Gen-4.5 Image to Video is available now for all paid plans.
Pablo Pernías retweeted
Meta's ex Chief AI officer is raising €500n at a €3bn valuation for his startup before it's even launched.
Yann LeCun (@ylecun) will be launching his new venture, Advanced Machine Intelligence Labs, in January and he will serve as an executive chair.
The fundraising is in early stages and could change.
According to the FT the startup:
"will focus on creating a new generation of superintelligent AI systems by building so-called world models, which are able to understand the physical world and have a wide range of applications, such as robotics and transport"
Bubble - what bubble?
Pablo Pernías retweeted
A short statement on our mission ahead: to train generalist models directly on observations from the universe, in what we believe will be the most important (and fun) technological quest of our time.
Universal World Simulator
Soon, everyone will have access to their own world simulator. This will be the most important technological development of our time.
Video models trained at sufficient scale become world models. To predict the next frame, a video model must learn how the world works. How objects move, how forces propagate, how actions cause effects. General world models are learned approximators of physics.
The hardest problems facing humanity are rooted in physical reality. Robotics, medicine, climate, materials, energy. Language models will not get us there. Text distills existing human knowledge. In order to move beyond that, we need to learn directly from raw observations of the world.
Universal simulation is fundamentally about access. Experiences limited by geography and cost will become available to anyone. Running experiments today requires equipment, funding, and institutional access. With world simulators, the tools of discovery stop being scarce. Small teams will be able to develop autonomous systems and test policies across millions of scenarios without physical infrastructure. A student anywhere in the world will have her own biology lab and her own particle accelerator.
Progress will not happen overnight, but it will happen faster than people expect. We anticipate half a decade before we achieve human-scale world simulation: interactive simulations indistinguishable from the real world. Within a decade, we expect to simulate physics and biology accurately enough to solve a significant percentage of today's scientific challenges.
At Runway, we choose to invest in this long-term research vision rather than short-term optimization. At the same time, we will be deploying world models incrementally: this is how the world comes to understand what they are capable of, and how we learn to build them responsibly.
Science is about understanding reality. Art is about transcending it. These are two expressions of the same capability, which is why we need to advance them together. Runway will always operate at their intersection.
AAC
Anastasis, Alejandro, Cris
Pablo Pernías retweeted
Universal World Simulator
Soon, everyone will have access to their own world simulator. This will be the most important technological development of our time.
Video models trained at sufficient scale become world models. To predict the next frame, a video model must learn how the world works. How objects move, how forces propagate, how actions cause effects. General world models are learned approximators of physics.
The hardest problems facing humanity are rooted in physical reality. Robotics, medicine, climate, materials, energy. Language models will not get us there. Text distills existing human knowledge. In order to move beyond that, we need to learn directly from raw observations of the world.
Universal simulation is fundamentally about access. Experiences limited by geography and cost will become available to anyone. Running experiments today requires equipment, funding, and institutional access. With world simulators, the tools of discovery stop being scarce. Small teams will be able to develop autonomous systems and test policies across millions of scenarios without physical infrastructure. A student anywhere in the world will have her own biology lab and her own particle accelerator.
Progress will not happen overnight, but it will happen faster than people expect. We anticipate half a decade before we achieve human-scale world simulation: interactive simulations indistinguishable from the real world. Within a decade, we expect to simulate physics and biology accurately enough to solve a significant percentage of today's scientific challenges.
At Runway, we choose to invest in this long-term research vision rather than short-term optimization. At the same time, we will be deploying world models incrementally: this is how the world comes to understand what they are capable of, and how we learn to build them responsibly.
Science is about understanding reality. Art is about transcending it. These are two expressions of the same capability, which is why we need to advance them together. Runway will always operate at their intersection.
AAC
Anastasis, Alejandro, Cris




















