We’ve teased for long enough. MachineFun goes live within the next 48 hours.

MachineFun was designed to remove the speculative friction from what we think will be one of the highest-growth sectors of the coming decade: Robotics. One of the most heavily funded corners of robotics over the past two years has been robot brains, the AI models that let a robot see, decide and move, with roughly $5B raised by its best-known developers since 2024. One company in this field just had a breakthrough. @dreamlabs_ai, a 12-person robotics lab, released Dream-1, a new kind of model they call a World Action Model. It learns how the world moves from video and uses that to control a robot through a simple API, meaning any developer can plug into it the way they'd plug into ChatGPT. That kind of tooling opens doors for hardware companies that were stuck before. @makermodsai, which sells $2k robot arms, says theirs was up and running in a few minutes and "attempting tasks we never programmed." Teaching a robot one task used to take specialists months, and now it's starting to feel as quick as prompting an LLM. Breakthroughs like this are happening almost daily in robotics, but for anyone outside the industry they've been nearly impossible to get involved in. Dream alone raised a $90M first round, and none of it was open to the public. We've seen where this leads. When AI models became something you could call through an API, a wave of smaller startups got built on top of them, and plenty of YC companies got funded that way. Robotics is starting down the same road. @physical_int, another lab building robot brains, recently opened its own API to outside teams. Almond, a company that builds a robot called Axol, used it to teach Axol to smooth rough edges off metal parts for its own assembly line, and it took only 4 days. Examples like these are why we built MachineFun. As bottlenecks unlock and hardware gets more efficient, businesses that didn't make economic sense before can turn into real revenue almost overnight. Letting teams raise publicly for their ideas is the first step toward an open source robotics hub. We know funding alone isn't enough, though, so we've built a foundry network with @peaq and @codecopenflow to back high-agency teams taking their ideas into the real world with peaqOS and SimArena. As foundation model, tooling, benchmarks and onchain economies keep scaling, MachineFun wants to sit at the center of it, with developers building in public and traders getting in early through speculation.

How's our gm AI v2 event? One thing we heard this year was that "You could walk into almost any groups and find yourself in an interesting agentic convos" With 1.5K+ signups for gm AI v2, we put a lot of thought into who we brought into the room, hoping everyone could find their people and convos worth joining Onchain AI seemed to be one of the most talked topics in the room The Agentic Economy drew the most attention, complemented by our pocketbook "The Agents are Buying" 55% of guests were founders, builders & developers. Another 25% coming from investors, VCs, and market makers Thanks to everyone who made it to our gm AI v2, our guests & cohosting partners @BlockRunAI, @codecopenflow, @dphnAI, @GoKiteAI, @openservai, @reppo for making this possible

machine.fun on the ground at TOKEN2049 Singapore. Live at gm AI v2 with our partner @codecopenflow, connecting with teams building robots, physical AI, and simulations. We’re here to bring more machines onchain.

On September 30, the launch configuration didn’t work as expected, so we’ve made further changes and are running additional testing before moving forward. We committed to a launch timeline and didn’t meet it. We understand that the lack of clarity around the delay has been frustrating. We won’t set another launch date until we’re confident we can deliver. Once confirmed, we’ll give at least 12 hours’ notice before going live. Our focus now is on getting the configuration right, testing it properly, and making sure everything is ready before we go live. The next status update will be shared on Monday at 16:00 UTC, with further updates as we make progress. Thank you to everyone who’s been waiting with us.