foundation models (openai, claude, gemini) are becoming indistinguishable. and it makes sense. they are all training on the same data: the internet. we should assume anything that is online has been crawled and used for training. now it's all about what can't be crawled. 🔱

Excited to announce we’re leading a $15M seed round in Poseidon, which was incubated by @StoryProtocol and is building a decentralized data layer to coordinate supply and demand for AI training data. The first generation of AI foundation models were trained on data that seemed to be an effectively unlimited resource. Today, the most accessible resources such as books and websites have mostly been exhausted, and data has become a limiting factor in AI progress. Much of the data that remains now is either lower quality or off-limits due to IP protections. For some of the most promising AI applications — across robotics, autonomous vehicles, and spatial intelligence — the data doesn’t even exist yet. Now these systems need entirely new types of information: multi-sensory, rich in edge cases, captured in the wild. Where will all this physical-world data come from? The challenge isn't just technical — it’s a problem of coordination. Thousands of contributors must work together in a distributed way to source, label, and maintain the physical data that next-gen AI needs. We believe no centralized approach can efficiently orchestrate the data creation and curation that’s needed at the required level of scale and diversity. A decentralized approach can solve this. @psdnai allows suppliers to collect the data AI companies need, while ensuring IP safety via Story’s programmable IP license. This seeks to establish a new economic foundation for the internet, where data creators get fairly compensated for helping AI companies power the next generation of intelligent systems. Poseidon’s team, led by Chief Scientist and Cofounder @SPChinchali, brings deep expertise in AI infrastructure. Sandeep is a professor at UT Austin specializing in AI, robotics, and distributed systems, with a PhD from Stanford in AI and distributed systems. Head of Product and Cofounder @sarickshah spent a decade as a machine learning engineer, scaling AI products for large enterprises across financial services, telecom, and healthcare. We are excited to support Poseidon in its work to solve one of the most critical bottlenecks in AI development.

Excited to share on @BloombergTV the upcoming launch of @psdnai (Poseidon AI), incubated by Story and building on top of Story Blockchain.

Take the brand new Story site for a spin, anon Absorb all the attention to detail, and let it be a testament to the care and precision the team puts into everything they do✨

im betting it all on @StoryProtocol i believe in the vision and its strong core thesis. AI is inevitable; we need a solution to protect human made IP with the right attribution. everyone said this is too soon. but hey, if all inventions had been a sure thing from the start, nothing would ever been invented.

AI innovation never stops at story 🫡 G created a framework for metaprompting SUPER effectively, such that with 1 prompt you can orchestrate a whole squad of AI claude agents to plan, design, code and polish a fully production ready app... all in one shot. Check it out!

AI’s next frontier is not compute or larger models, it’s better data. Today, we’re bringing on one of the few people who actually spent his life solving that problem. Welcome @SPChinchali, our new Chief AI Officer. The frontier of AI is no longer defined by models with more parameters, or compute clusters with more GPUs. It will be defined by the scarcity of high-integrity, IP-cleared data from the physical world (think robotics, autonomous hardware, and edge devices). Sandeep has spent his career chasing this frontier. Now he’s helping us unlock it. When I first met Sandeep, I was struck by his soft spoken, endearing attitude. He has a way of speaking that draws you in, regardless of whether he’s explaining neurosymbolic AI, or praising the alien looking ergonomic keyboard he carries wherever he goes. His background speaks for itself: Stanford PhD, NASA JPL. Now professor at UT Austin, leading research at the intersection of decentralized ML and robotics Sandeep has been obsessed with how to get useful data for AI training to make it useful in the real world: > creating data incentives for distributed networks, > tackling the quintessential long-tail sampling problem in edge robotics, and > designing systems that preserve provenance. Sandeep also confirmed a thesis I’ve been obsessed with for years: the real moat is data. Not scraped Reddit forums or generic web text, but attributable, rights cleared, real world data. The messy, unpredictable data required to make physical systems robust cannot be simulated. It’s sourcing and curating the messy, long‑tail data that physical systems see in the wild: the slippery loading‑dock robot at 2am, the faint micro‑crack on a wind‑turbine blade, the corner case a lidar unit has never seen before. Those moments are IP, and they’re precious. If we can make that IP programmable, licensable, traceable, and monetizable in real time, we unlock a flywheel for every AI team on the planet. Programmable IP is the only backbone that makes this possible. Most crypto x AI attempts bolt “AI” onto existing infra. Sandeep’s joining because Story is built from the ground up to solve these types of data coordination challenges Story is built for dynamic, composable relationships. Our protocol is designed for the graph based provenance, dynamic licensing, and automated royalty flows that modern AI systems demand. A photo can be licensed, a label can be added, a synthetic variation can be generated, and on Story, each action becomes a new, linked IP asset in a transparent graph, with value flowing back to every contributor. Sandeep’s arrival is a turning point. Chapter 2 of Story is coming into focus, and the next phase of AI infrastructure is just getting started. His combo of deep intellect, genuine curiosity, and quiet dedication is exactly what this moment calls for. We couldn’t be more excited to build the future of AI with him, and there’s a whole lot more coming. Stay tuned!

Imagine earning from IP you love: stories, songs, and viral moments that shape culture. Chapter 2 brings the world’s IP onchain, unlocking huge, untapped markets - from music and fashion to sports, DeSci, and entertainment. @Aria_Protocol proves it's possible. Now we scale.

We've proven traditional crypto PMFs: BTC as digital reserve asset, stablecoins, defi, and, of course, speculation. Next up: bringing real-world assets *fully* onchain. e.g. IP RWAs represents a $70 trillion asset class that's extremely illiquid today. Imagine seamlessly licensing real world data for AI training, tokenizing patent portfolios, fractionalizing copyright ownership, trading/collateralizing trademark rights. All of this is what Story was built for. IP + DeFi = IPFI = massive opportunity

Story team hackathon just wrapped. AI tools, IPFI protocols, and everything in between. We're open sourcing everything in the coming weeks. A few might even hit beta 👀 Awards ceremony happening today! 🏆