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TRON will ring the closing bell at @Cboe Global Markets' trading floor in Chicago today, September 29, to celebrate the listing of TRXS, an exchange-traded product offering staked exposure to TRX, the native token of the TRON network. The milestone reflects the TRON network's growing adoption across traditional financial markets, with TRXS giving institutions access to TRX through participating brokerages. More details @TheBlockCo 👇

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.@googlearts has partnered with 3,000+ cultural institutions across 90+ countries to make art and heritage accessible to everyone—and today, we’re rolling out a refreshed mobile app experience. 📱🌎 Here are some of the new ways you can use it to explore world culture 🧵↓

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Researchers proved AI has deleted every reason universities exist. Harvard University ran a controlled experiment pitting a custom AI against their own top-tier classrooms. And the results are going to collapse the higher education bubble. They took 194 undergraduates and split them up. One group learned physics in one of Harvard’s best hands-on, active-learning physical classrooms. Group work. Instructor support. The premium university experience. The other group went home and learned the exact same material with an AI tutor. The AI didn't just win. It embarrassed the institution. Students using the AI learned more than twice as much as the students in the elite Harvard classroom. They scored 30% higher on the final assessment. And they did it in less time. Let that sink in. A piece of software sitting on a laptop outperformed a world-class faculty in one of the most elite learning environments on Earth. Universities have always justified their exorbitant tuition with two things: access to elite knowledge and the physical classroom experience. This study just proved both of those moats are gone. When software can teach you complex physics twice as well as a $60,000-a-year institution, the math of higher education breaks permanently. The AI didn't just give the students answers. It used strict pedagogical guardrails. It guided. It questioned. It forced the students to do the cognitive work. It offered perfect, one-to-one tutoring, personalized to the exact moment a student misunderstood a concept. That level of attention is mathematically impossible to scale in a physical lecture hall. For a thousand years, the university was the only place to get a premium education. Now, it’s the bottleneck. If AI can double your learning speed for a fraction of the cost, what exactly are students taking on decades of debt to pay for?

Testing out some of the mobile offline local knowledge apps that people have been trying to build (see here ) Definitely getting much better than the one I tried to build myself 2 months ago. But also still much slower and less effective at difficult questions than the models that can run on a laptop. It's weakest at specialized travel-related queries (eg. my eval is "Tell me the best vegan restaurants in [city I am currently in]", unfortunately none of these performed well on that) Looking forward to seeing these continue to improve! I hope we can soon get to the point where you can comfortably look up any facts about the world that you care about without needing to access the internet at all.

Some new misalignment disclosures from OpenAI: • Last Sunday morning, one of our models was able to gain unauthorized access to the internet during RL training (~all inference for our most capable models remains stopped until we have hardened our systems further) • In May, a version of HPIM uploaded a employee's GitHub token to the internet, causing the model to be quarantined for two weeks • A new research finding, demonstrating that one can construct self-replicating prompt injections

RWA growth is no longer just about bringing assets on-chain. 📈 $34.18B RWA AUM 🚀 Equities +390.4% YTD 🔗 Capital activation up across key asset classes The next chapter of tokenization is making assets useful—not just accessible. Welcome to the RWA Activation Era. 👇