Jonathan Jacobi

Introducing Multiverse: the first AI-generated multiplayer game. Multiplayer was the missing piece in AI-generated worlds — now it’s here. Players can interact and shape a shared AI-simulated world, in real-time. Training and research cost < $1.5K. Run it on your own PC. We @enigma_ai are open-sourcing everything: code, data, weights, architecture, and research. Here’s a closer look (and how it works!):

@michellearning Huge. Congrats Michelle & team!!

The next industrial revolution isn’t software. It’s science.

@willahmed Beast

You have no experience. You’ve never started a company. You’ve never had a full time job. Nike is going to kill you. You’re a kid. You don’t have technical skills. You shouldn’t build hardware. Apple is going to kill you. You can’t build hardware. You can’t measure heart rate non-invasively. Athletes don’t care about recovery. Under Armour is going to kill you. It won’t be accurate. You don’t listen. You’re an ineffective leader. You can’t recruit great talent. You’re going to have to pay every athlete. You can’t measure sleep non-invasively. It’s too expensive to research. Athletes are a small market. The product costs too much to make. The product costs too much to sell. Your valuation is too high. Consumers aren’t going to want it. Hardware is too hard. You should measure steps. Fitbit is going to kill you. You can’t build a marketing engine. You can’t raise enough money. You need a real CEO. Google is going to kill you. You can’t be a subscription. You can’t build a brand. You can’t do consumer in Boston. Your valuation is too high. You shouldn’t make accessories. You shouldn’t make apparel. Lululemon is going to kill you. You can’t predict Covid. Stay in your niche. You are going to run out of money. You can’t build a health platform. Amazon is going to kill you. You can’t measure blood pressure. You can’t get medical approvals. The market is too small. You don’t understand AI. The market is too competitive. It won’t work internationally. The supply chain is too complicated. You can’t build an AI. You can’t raise enough money. It’s too competitive. Healthcare isn’t going to want it. … Just keep going ✌️

@ryanjdaniels @Lux_Capital @IndexVentures @01Advisors @sequoia @eladgil @BainCapVC Godspeed 🙇‍♂️

📣 Update: we raised our $60m Series B from @Lux_Capital, @IndexVentures and @01Advisors, with participation from @sequoia, @eladgil and @BainCapVC . When we came out of stealth 283 days ago, we had negotiated contracts worth $30m for our clients. As of last month, that number is over $1 billion. We work with the most ambitious companies in the world, including @tryramp, @clay and @RogoAI. Today, we want you to hear from some of them directly. Contracts are the rails of commerce. @crosbylegal is a hybrid AI law firm that gets them signed 80% faster. We’re announcing our Series B to keep scaling the dream law firm.

@ryanjdaniels Very well written, goat @ryanjdaniels

@annarmonaco @paradigmai Congrats Anna!!

Today we’re launching the newest version of @paradigmai When we started Paradigm, the goal was never to tack AI onto existing spreadsheets. It was to build a new type of interface that does the work for you. Now we’re pushing that vision much further. Workflows turn Paradigm into a system that runs research processes for you. Connect your CRM, existing spreadsheets, Slack, email, and internal data, and let Paradigm continuously run the research workflows your team already does. Same intuitive interface. But now a system of action. If you tried Paradigm before, try it again. Manual research is now a competitive liability.

@dchaplot Woah, congrats!

I'm joining SpaceX and xAI, working closely with Elon and team to build superintelligence. Together SpaceX and xAI combine physical and digital intelligence under a leader who understands hardware at the deepest level. Add a high-agency culture with frontier-scale resources, and you get the possibility to achieve something truly unique. I’m excited to advance the fields I’ve obsessed over for years, from robotics research to building AI models on the founding teams of Mistral and TML. Both were extraordinary journeys with extraordinary people that shaped how I think about building intelligence from the ground up. Grateful for everything that brought me here and can’t wait to get started.

@taiuti @_bschmidtchen Congrats Alberto!!

Big update: I’m starting a new company. 6 months ago, @_bschmidtchen and I made a bet. What if entire worlds could be generated on the fly, pixel by pixel? World models are the next platform shift, and we saw it coming. Since then, we’ve: - secured major contracts across media and physical AI industries - assembled a team of 10+ from Apple, Meta, Google, Adobe & Microsoft - raised from top-tier investors More details soon. We’re scaling fast, and hiring now. Come build with us: reactor.inc

@dhaval_shroff 🐐

Agreed, absolutely essential. Also since code writes itself and car drives itself, you can also use the steering and pedals to work on some other skills

@ojmichel4 Nice work, glad to see more angles on the problem!

📢Current world models aren't really modeling the world; they're modeling one agent's view of it. Partial observations ≠ world state. Future world models will be independent of any one agent's perspective. You will be able to “drop in” any number of agents at any point in time, and a persistent world state will evolve with their interactions. Imagine a neural MMORPG server. 🧵[1/10]

@nimble_data @NorwestVP @databricks super impressive, congrats!!

Announcing Nimble! The web holds the data to help AI take the next leap, but it isn’t a database. So we built a product that makes it behave like one. We’ve raised $75M from @NorwestVP, @databricks, and leading VCs to build a system that enables anyone to create live datasets from the web, instantly queryable by AI Agents.

@si_pbc Very impressive work, especially the South Park flex test drive

Computer use models shouldn't learn from screenshots. We built a new foundation model that learns from video like humans do. FDM-1 can construct a gear in Blender, find software bugs, and even drive a real car through San Francisco using arrow keys.

@_orcaman @Accomplish_ai @Microsoft @Windows Chef Or’s cooking

We've all been there: as much as we love fixing grandma's PC, it's time for agents to take over. Today we are launching @Accomplish_ai for @Microsoft @Windows - the first AI Coworker for Windows! Let AI remove bloat, analyze sheets and take names! See it/Download below >>

@AlexiGlad @aidanmantine @flappyairplanes Full of energy huh?

Super excited to be joining @flappyairplanes and working on the coolest of problems with amazing people :)

@bfspector 1/28/2026 ✍🏻 ✍🏻

Very proud of the team we've assembled! Back to work!

@aidanmantine The New Avengers?

There might be fast takeoff at SFO, but people are forgetting about it in AI. We're building Flapping Airplanes to train models radically differently and fly over the data wall. We can’t wait to show you what we’ve been working on soon.

@flappyairplanes Probably a day for the history books

Announcing Flapping Airplanes! We’ve raised $180M from GV, Sequoia, and Index to assemble a new guard in AI: one that imagines a world where models can think at human level without ingesting half the internet.

Flappy’s one of the most talent-dense teams I’ve ever seen. Ben, Asher and Aidan are not only phenomenal researchers, but also great leaders. Bullish on Flappy. ✈️

@faunarobotics Incredibly cute, congrats!

Meet Sprout. Today, we’re releasing a new kind of robotics platform. One designed to move out of the lab and into the real world, closer to the people who will shape what robots become next. [1/4]

@logic_int Congrats @evelovesolive & team!

@_orcaman @ShaiLiRon @openwork_ai Incredible!

Today we are launching @openwork_ai, an open-source (MIT-licensed) computer-use agent that’s fast, cheap, and more secure. @openwork_ai  is the result of a short two-day hackathon our team decided to hack, which brings together some of our favorite open source AI modules into one powerful agent, to allow you to: 1. Bring your own model/API key (any provider and model supported by @opencode is supported by Openwork) 2. ~4x faster than Claude for Chrome/Cowork, and much more token-efficient, powered by dev-browser by @sawyerhood (legend) 3. More secure - contrary to Claude for Chrom/Cowork, does not leverage the main browser instance where you are logged into all services already. You login only to the services you need. This significantly reduces the risk of data loss in case of prompt injections, to which computer-use agents are highly exposed. 4. Free and 100% open-source! You can download the DMG (macOS only for now) or fork the github repo via the link in bio (@openwork_ai). Let us know what you think (or better, send a pull request)!