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1️⃣ Branding: This year’s visual brand identity was a close collaboration between our team and AI. We started by giving Gemini previous brand guidelines and five years of I/O recaps. We then generated new imagery and iteratively fed outputs back into Nano Banana with feedback. We also used Nano Banana to explore icon styles. Here’s a prompt we used to explore icon styles with Nano Banana in the @GeminiApp: You are an expert image editor. You will be given two images. **Image 1** provides the **texture and material**. **Image 2** provides the **pose, shape, and lighting**. Your task is to create a new image by applying the detailed texture and pattern from the icon in **Image 1** onto the surface of the white icon in **Image 2**. **Crucial Constraint:** The output image must perfectly preserve the exact pose, camera angle, scale, and lighting of the icon in **Image 2**. Do not change its orientation or position in any way. The final result should be the icon from Image 2, but with the texture of Image 1.

Introducing the Buy-Side Equity Research SOP on xBubble. State a ticker. Get a research memo built to the standard of an internal buy-side note. Thesis first, every number sourced to the original filing. One request in. A full equity deep dive out. What comes back isn't a news recap. It's the structure a real analyst writes: ✅ Where the company sits in its value chain ✅ Competitive map, edge, and key risks ✅ Filing-level financials + management read ✅ SOTP valuation, Bull / Base / Bear per share ✅ The catalysts to watch over the next 3 to 6 months Every claim is traceable. Each data point carries its original source and access date: SEC filings (10-K, 10-Q, 8-K), official IR decks, earnings call transcripts. You can check the work. That's the point. Here's what makes this more than one good report. The SOP isn't fixed. Bubble Engine builds it, tests it, and keeps generating stronger ones. Need a version tuned to a sector, a market, or your own thesis style? It generates that too. You don't get a template. You get a research engine. Buy-side research used to take 15 to 20 hours per company. Now it's one request. The edge was never about access. It was about depth. xBubble puts the depth on your side. Work mode → Buy-Side Equity Research SOP.

Jensen Huang just revealed the mathematics of manufacturing a mind. We are no longer writing software. We are pouring concrete. The world is racing to construct AI factories. Not data centers. Planetary-scale nervous systems. The largest infrastructure buildout in human history. Huang: “Each one of these, at 1 gigawatt level, started at 30, 20, 30 billion dollars. It is at 50, 60 billion dollars, and soon it will be 80, 100 billion dollars per gigawatt.” One hundred billion dollars. That is not a corporate budget. That is the GDP of a sovereign nation. Poured into a single physical structure designed to convert raw electricity into cognition. Biology had millions of years to iterate. To mutate. To fail and adapt. These factories get one attempt. Huang: “100 billion dollars into an AI factory. It must work the first time and it must work right away.” Evolution had the luxury of time. A hundred billion dollars does not. So Nvidia built a digital universe to stress-test the physical one. Using the DSX Sim Omniverse blueprint, partners design and validate an entire Vera Rubin AI factory inside a digital twin before a single rack ships. Every layer. Chips. Network. Cooling. Power grid. Designed end to end. We are simulating reality inside a machine to ensure we can build the machine in reality. Because compute is revenue. And the bottleneck was never silicon. It is thermodynamics. Current AI factories overprovision power by up to 40%. DSX Max LPS eliminates that. More GPUs inside the same power envelope. Billions in recaptured annual revenue. And Nvidia is deploying AI agents inside the factory itself. Balancing cooling and power in real time. Steering stranded watts rack to rack. Routing energy wherever compute demand lives. The intelligence is regulating its own physiology. Hunting for stranded energy. Balancing its own thermals. The machine is learning to keep itself alive. Huang: “Because Nvidia ultimately is not just building a GPU, not just building a system, we’re helping customers build these AI factories, these AI infrastructure that is so immensely complex.” Nvidia’s moat is not silicon. It is that no other entity on Earth has built the complete architecture for constructing and operating intelligence at industrial scale. TSMC fabricates the chips. Nvidia fabricates the factory that turns those chips into cognition. For ten thousand years humanity built monuments to outlast our bodies. Pyramids. Cathedrals. Skyscrapers. We are now pouring hundreds of billions into structures designed to outthink our minds. They must work the first time. Because there is no second draft when the thing you are building might one day write its own.

📷 Event Recap | The Tokenisation Forge: Building the Institutional Playbook At HashKey RWA, one question we hear often is: “I want to tokenise an asset. Can you show me how?” The reality is that we are moving beyond simply creating tokenised products. The more important question is: what does the playbook look like after launch? Together with @chainlink, @galaxyhq, and APEX Digital, we spent an afternoon with industry practitioners sharing best practices and key considerations for building and implementing institutional tokenisation strategies. A big thank you to all our speakers and participants for making the afternoon both insightful and engaging. We look forward to seeing you at the next one.

CEO Jensen Huang took the stage at GTC Taipei and redefined the future of AI. He unveiled AI infrastructure running the world's AI factories, autonomous agents that actually do things, physical AI and robotics stepping into the real world, and a brand-new generation of personal computing built for AI from the ground up. If you're curious where AI is actually headed, this keynote is your answer. 📰 Get the recap: ▶️ Watch the full keynote: #NVIDIAGTC#

Huge win for gamers and consumer rights! The California State Assembly just passed AB 1921, the Protect Our Games Act. It passed on the floor by a vote of 43 to 16. The bill would force video game companies to give players a heads-up before they shut down the servers for a game. It would also make them provide a way for people to keep playing afterward, like adding offline mode or letting community servers take over. Quick recap of what the bill does: >60-day advance notice before any server shutdown or major service change that would make a game unplayable in its “ordinary use.” >Companies must then provide a workable solution so players can keep playing, usually an offline mode/patch, community server support, or (in some cases) a full refund. >Applies to digital games first sold or substantially re-released in California after January 1, 2027. >Does not affect subscription games, free-to-play titles, or games that are already permanently offline/single-player. >Enforceable by the Attorney General or district attorneys. In short: If you buy a game, you should still be able to play it even after the company moves on. No more “purchase” turning into a rental that expires when the servers die.