RT @Collin_McCune: A senator praised "American entrepreneurship" in one breath. Days later, they backed a bill that would make…

RT @milesjennings: The market is moving on-chain—but developers need clear protections. Today @a16zcrypto and @fund_defi proposed a security protocol…

RT @meigga: Over the past year, I've had countless conversations with banks, asset managers, and fintech companies exploring the use of cryptocurrencies…

We are excited to announce that we are leading a $15 million seed round in Poseidon. Incubated by @StoryProtocol, Poseidon aims to build a decentralized data layer to coordinate the supply and demand of AI training data. The training data for the first generation of AI foundational models was seemingly infinite. Today, the most accessible sources, such as books and websites, have largely dried up, and data has become a limiting factor in AI development. Much of the data that remains today is either low quality or inaccessible due to intellectual property protections. For some of the most promising AI applications—robotics, self-driving cars, and spatial intelligence—this data doesn’t even exist yet. Now, these systems require entirely new types of information: multisensory, rich edge case information, and information captured in nature. Where will all this physical world data come from? The challenge is not just technical, but also one of coordination. Thousands of contributors must work together in a distributed way to acquire, label, and maintain the physical data needed for the next generation of AI. We believe that no centralized approach can effectively coordinate the creation and curation of the data required to meet the scale and diversity required. A decentralized approach can solve this problem. @psdnai allows vendors to collect the data AI companies need while keeping the IP secure through Story’s programmable IP license. The move aims to build a new economic foundation for the internet where data creators are fairly compensated for helping AI companies drive the next generation of intelligent systems. Poseidon’s team is led by Chief Scientist and Co-Founder @SPChinchali with deep expertise in AI infrastructure. Sandeep is a professor at the University of Texas at Austin specializing in AI, Robotics, and Distributed Systems and holds a PhD in AI and Distributed Systems from Stanford University. Head of Product and Co-Founder @sarickshah has a decade of experience as a machine learning engineer. Scaling AI products for large enterprises such as financial services, telecom, etc.

@StoryProtocol None of the above should be considered investment advice or an advertisement for investment services; see https://t.co/fHFu7rnQjQ for more information.

RT @milesjennings: After the Genius Act celebration, developers are already eager to see what’s next. The answer is clear — the cryptocurrency market…

Clear Rules for Stablecoins and the Future Today, the GENIUS Act, the first U.S. cryptocurrency legislation, will be signed into law at the White House. The bill provides clear rules for stablecoins. This is a historic moment—not just for crypto, but for the world. That’s because stablecoins give us something we never had before: open money infrastructure. Stablecoins are a better form of money: faster, cheaper, and more global. They reduce fees and eliminate intermediaries. They are auditable and programmable. They allow developers to build new types of applications that were previously impossible: low-cost or even free remittances, programmatic micropayments, AI-native transactions, transparent and decentralized global commerce, and more. Stablecoins enable the world to use the dollar, spread financial freedom, and ensure that the next generation of financial infrastructure is built on American standards. For too long, innovators in the cryptocurrency space have operated in an environment of legal uncertainty. This uncertainty has hampered the growth of the internet, forced developers to look overseas, and caused fragmentation of the internet. The GENIUS Act turns that around: it creates clear rules for stablecoins and leads us toward broader structural reforms of the crypto market. Clear rulemaking is how the internet has evolved. With the GENIUS Act, stablecoins will have clear rules, paving the way for better payments, financial products, and reforms to the global financial system. Next, we need to do the same for the crypto market as a whole. The Senate can do this by passing the CLARITY Act, which provides clear rules for the broader crypto industry, paving the way for innovators while also protecting consumers from scams and bad actors. We believe that by enabling open, user-owned protocols, rather than closed ones, the United States can lead the next era of the internet—the era of read-write ownership. The enterprise platforms that defined the last era. This legislation lays the foundation for the future. It’s the beginning of a new chapter.

The House just made history by overwhelmingly passing important legislation on stablecoins (the GENIUS Act) and market structure (the CLARITY Act). This is a big moment for crypto and all Americans. For the first time, we are on the verge of comprehensive, proactive rules. Next up: The GENIUS Act will go to the President for his signature. After that, the Senate should pass the CLARITY Act. We believe passing these laws is the best way to ensure that the United States continues to lead the world in the next era of the Internet. Thank you to all of these bills’ co-sponsors and the strong bipartisan support in Congress.

Today, the Senate took a historic step by passing the GENIUS Act with broad bipartisan support. This stablecoin bill protects consumers and gives entrepreneurs the safeguards they need to drive innovation and economic growth in cryptocurrency and beyond. Now, we need comprehensive market structure legislation so that the United States can lead in building blockchain networks.

I’m excited to announce that we’ve led a $33 million seed round for @yupp_ai. This is a consumer product that allows anyone to explore and compare the latest AI models for free. AI requires strong and trustworthy human data. Cryptocurrency is here for this. Modern AI systems are influenced not only by computation and algorithms, but also by human feedback. Many companies use post-training techniques such as reinforcement learning with human feedback (RLHF) and direct preference optimization (DPO) to improve their models. These techniques can reduce bias and enable higher quality, more consistent prompt responses - which is critical to accelerating progress in AI. Model evaluation is equally important, but models can only get better if you first understand what “better” means. The challenge is that companies are reluctant to share - they keep their data and training processes secret. As a result, model improvements are limited to what can be learned from closed systems or static benchmarks, which rarely reference real-world applications. These limitations make AI models difficult to evaluate. Users are also left in the dark, with little insight into how their feedback affects the model, or even whether it is actually being applied. Some leaderboards and crowdsourcing sites attempt to reveal these truths, but they often don’t allow users to audit their contributions or see any direct benefits from participating. Platforms that claim to be fair and transparent often rely more on good faith than enforceable standards. We believe cryptocurrencies can bring transparency and autonomy to the murky world of AI. Blockchains can make it easier for people to be rewarded for their contributions. They can also provide AI builders with assurances about the quality and provenance of the feedback data and evaluations they incorporate into their models. This way, users are incentivized, builders get trusted data, and everyone can audit either side of the open market. Yupp Crowdsourced Model Evaluation: Users input prompts, view multiple AI-generated responses side-by-side, and pick the best. Their choices create digitally signed “packets” of preference data that can be used for later training and evaluation of the AI. In addition to free access to the latest models, users are rewarded for the feedback they provide. Yupp’s design turns human judgment into a renewable economic resource. Data “expires” as new interactions replace it, creating a natural flywheel: more usage generates newer evaluations; newer evaluations generate better models; better models attract more usage. All participants — from users to AI model builders — can participate and see that the same transparent rules apply to everyone, ensuring a trusted neutral market. No one can hide the scoreboard, and no one can manipulate rewards or outcomes. The founders have extensive experience in both AI and crypto. Together they built consumer-scale machine learning products in the early days of Twitter. @pankaj led global consumer engineering at Google Pay and @Coinbase. @gilad was previously head of machine learning at GoogleX. The early team already has senior engineers from Google, Coinbase, and top research labs. AI requires strong, reliable evaluations based on human input at scale. Crypto is the trust machine that enables this. It enables people around the world to contribute feedback that improves models.