After 3.5 years building Story from scratch, I’m stepping out of my full-time role. I’ll stay closely involved as a strategic advisor. While incubating Poseidon, I rekindled my original passion from my DeepMind days: applying AI to frontier industries like science and space. It's time for me to fully pursue this path. I believe we’re approaching a crucial inflection point in humanity’s arc as an industrial society. Language generation is just the initial wave of a cascade of abundant intelligence across fields like robotics, biopharma, and space that, if successful, will constitute a new Industrial Revolution. Looking back, building Story has been the most meaningful experience of my life. What began as a whiteboard sketch when I was 22 turned into more than I could have imagined: a network supporting IPs from Balmain to BTS, with millions of transactions and $130M+ in backing from partners like a16z. Now, Story enters Chapter 2 with SY at the helm, Andrea as our new CPO, and Sandeep as Chief AI Officer. And as I embark on my next venture, I won't be going far, as Story plans to partner and invest. To our investors, partners, and nearly 100 incredible teammates: thank you for an incredible ride!

Announcing the first cohort of AI x Truth-Seeking grant recipients: Proud to build this partnership between @cosmos_inst and @TheFIREorg. From 300+ strong applications, we chose 27 builders to pilot approaches for AI to strengthen open inquiry and intellectual freedom. Our grantees come from 10 countries and include: 🔹 11 AI alignment researchers 🔹 7 startup founders 🔹 4 PhD students 🔹 1 NBC News reporter Each will receive $1k-10k in funding, plus compute from @PrimeIntellect and community support, to build prototypes that advance AI for truth-seeking. Cohort and project details below ⬇️

Inworld Runtime is live! The first AI runtime built to auto-scale consumer apps from prototype to millions of users, automate MLOps, and launch one-click AI experiments. We heard you: “I vibe-coded a prototype in 4 hours. Why does it take us 4 months to launch?” We delivered: - Adaptive Graphs: Auto-scale from 10 to 10M users. No rework. - Automated MLOps: Ops, telemetry, optimizations automatically. - Live Experiments: Instant A/B tests, no code changes. Thanks to partners like @nvidia @Google @Xbox @Disney @NBCUniversal @MistralAI @NianticLabs @MiniMax__AI for the early collab. Wins from early access partners: Status hit 1M users in 19 days, Bible Chat scaled voice features, @streamlabs nailed real-time multimodal magic.

This is the fastest a token has gone from launch to a Grayscale Trust. $IP is barely out of the gate and already has institutional rails. If you’re still thinking of onchain IP as a niche use case, might be time to rethink.

The @Grayscale Story Trust is live. Accredited investors can now access $IP, the token powering Story's AI-native infrastructure for the $80T+ IP economy. IP's institutional era starts today. Details ↴

LLMs are cheap. Compute is plentiful. Data is the new bottleneck.

Data is the bottleneck for the next wave of AI foundation models across science, robotics, and more. Today, we're excited to reveal Poseidon: Backed by $15m from a16z crypto, Poseidon is a Story-incubated project for collecting & licensing training data at scale.

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.

Hey there 👋 We look new!