Crypto regulation is coming one way or another, but will the CLARITY Act become law? How did we get here? What's the hold up? What does it all mean for WisdomTree? @Ryan_Louvar explains this and more on his recent interview at @NYSE @TakingStockLive @FINTECHTVglobal @Cheddar

AI regulation is far less simple than it looks. It’s prisoners dilemma at insane scale. In theory if all leading AI labs globally agreed to the same process of review and slow down, then we’d get frontier intelligence at similar rates and it diffuses relatively evenly. If the US remains at the frontier at all times, and has heavy regulation on the release of intelligence then we end up with an economic and geopolitical edge because we can control who has access to frontier intelligence. If we delay model releases, however, and another player - specifically China - doesn’t slow down and has equally strong models (not now but soon?) then our delays end up advantaging their models and eventually their tech stack. Now, the US could ban these models, but that actually only puts the US at a steeper disadvantage because other countries won’t have those bans. Then, from a relative competitiveness standpoint the US has now fallen behind even though it started in front. So, none of this is as simple as it looks. At some point it’s a simple bet of can closed models remain at the frontier in perpetuity or is there a risk of any other player or market catching up or just not falling behind.

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Crypto regulation could be heading to the president’s desk sooner than people think. “We have the vote tomorrow to get the SEC part of the draft out of the banking committee. And then where we go from there, there will be the two bills will have to be melded together... and then we will get to the full Senate floor vote.” @lindsayfraser0 from @BlockchainAssn breaks down the CLARITY Act timeline, the Senate vote math, House reconciliation, and why August recess is the key deadline.

Did you know Regulation A gives investors an opportunity to invest in smaller and early-stage companies? Learn what you need to know and what risks to be aware of:  

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URGENT: MICA regulations hit the EU on Wednesday 1 July. Binance won't have a MICA license by then (Due to political interference by the scum at the ECB that have an anti-crypto/pro CBDC agenda) If you are European and have a Binance account: 1. You will not be able to open new positions. 2. You will be able to sell existing posistions. 3. You will be able to withdraw funds. If you want to exit positions - do it before 1 July.

🐡 One day a regulation changes and the model you depend on loses its API overnight—that reality lays bare the risk of single-vendor dependence in AI. Export controls on Fable and Mythos showed access can be cut in an instant. So rather than betting everything on one giant model, maybe the resilient blueprint for AI sovereignty is collective intelligence: many models, orchestrated to collaborate. That is the question Sakana AI poses. Its answer is Sakana Fugu: One Model to Command Them All. Fugu isn't a mere router—it's a language model trained to call various LLMs in an agent pool. You send a request to one endpoint, and Fugu decides whether to solve it directly or assemble a team of specialized models, handling selection, delegation, verification, and synthesis internally. It calls itself recursively, and because agents in the pool are swappable, it can dynamically route around restricted models—the crux of "sovereignty." It builds on Trinity and Conductor (ICLR 2026), running on learned orchestration rather than fixed workflows. 🚀 The accuracy-focused Fugu Ultra stands shoulder-to-shoulder with Fable 5 and Mythos Preview on rigorous reasoning, science, and engineering benchmarks, and on some tasks beats Gemini 3.1 Pro, Opus 4.8, and GPT 5.5. Among 500 beta users, a code reviewer found more than twenty issues where competitors flagged about three, and data-science research progressed with little human intervention. From monolithic scaling toward a collaborative ecosystem. URL: #AIAgents# #LLM#