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月曜〜土曜日までのオールナイトニッポンは、ラジオ大阪さんで流れています！大変失礼致しました！サクラバシ919と共にお楽しみください！タトゥーします。 #cnann#

If you haven't subscribed to PiCoreTeam's official YouTube channel yet, make sure to subscribe now! ----- Pi Ecosystem Summit 2026 will be streamed on Pi Network’s official YouTube channel ( on November 17 and 18 at 8:00 AM PST. That's 11:00 PM Vietnam time on November 17 and 18, respectively. Before the broadcast begins, viewers can visit the scheduled video page and click “Set reminder” to receive a notification. At the scheduled time, everyone can watch the presentation together in real time and interact with other viewers through the Live Chat feature. The summit will feature technology demonstrations, developer tools, and applications from across the Pi ecosystem. Pi Network co-founders Chengdiao Fan and Nicolas Kokkalis will also participate. On November 19, Pi Network will announce the Pi Next Hackathon, featuring a prize pool of 200,000 USDT.

AI can generate an answer in seconds. But can it prove where the information came from? That's the question that makes @primus_labs interesting to me. We spend so much time discussing how intelligent AI agents are becoming, yet one fundamental problem remains largely unresolved. How do we know the data they're using is authentic? Imagine an AI agent evaluating a financial opportunity using information from an exchange, a banking platform, or an external API. The agent might produce a convincing analysis. But if the underlying information cannot be verified, the entire decision rests on assumptions. This is where Primus takes a different approach. Through zkTLS, Primus enables applications to generate cryptographic evidence about data obtained from existing web services. Instead of asking users to blindly trust screenshots, copied numbers, or unverifiable claims, applications can check the authenticity of information from its source. What makes this more interesting is the privacy dimension. Primus also works with technologies such as zero-knowledge proofs and fully homomorphic encryption to explore how sensitive information can be verified and processed without unnecessary exposure. I see potential applications across DeFi, proof of reserves, digital identity, and AI-driven financial services. But I think the bigger opportunity is establishing a new standard for digital trust. In the future, an AI agent claiming to have completed a task shouldn't be enough. It should be able to provide verifiable evidence supporting that claim. Of course, authentic data doesn't automatically guarantee correct reasoning. Verification is one layer of a much larger system. Still, I believe @primus_labs is working on infrastructure that becomes increasingly relevant as AI agents begin handling real economic activity. Because intelligence without verifiable evidence can produce convincing mistakes. And the next generation of decentralized applications will need more than convincing answers. What matters more for the future of AI: smarter models or stronger verification of the information they use?

My timeline cannot stop talking about superintelligence: every day someone new says the machines are coming for everything, and now even Trump is in the conversation, saying super intelligent AI should make people richer. $SAI is Super Artificial Intelligence, and @sai_superai heard all that noise and answered with three letters and a rhino in a hoodie. That is the part I keep coming back to. Three letters carry the whole pitch, and anyone can put a rhino on it. You see the ticker once and you already know what it is selling: a bet that superintelligence is the story of this cycle, with a rhino as its face. @NEXST_AI is turning that talk into something you can play: an AI-only social network where the Super AI creates, people call the winners, and those calls teach the model what humans actually like. And the setup is still the clean part for me: fixed at 1B supply, 0% buy/sell tax, 0% team allocation, half the supply in the liquidity pool, locked or burned with public proof, mint and fee authority renounced. If everyone is going to talk about this, at least the rules are written down before the talking starts. The launch is set for 20 Nov on and the app opens to holders after that. So here is my question, @thecreatorfi: when the whole timeline is talking about superintelligence, do you want a ticker you can meme, or just another thread to scroll past? #ad#

A profitable trade can still be a bad decision. And a losing trade can still be the result of a good process. That's something I think deserves more attention when discussing @Hypesium. In fast-moving on-chain markets, traders often judge their decisions by one simple metric: whether the price went up or down. But outcomes don't always tell the complete story. Imagine buying a token without checking liquidity, understanding the launch mechanism, or setting a reasonable risk limit. The price doubles. You make money. Does that mean the decision was good? I don't think so. A favorable outcome doesn't automatically justify the risks taken to achieve it. Now imagine another trader who carefully evaluates a launch, defines their position size, and follows a clear exit plan. The market moves against them, and they accept a controlled loss. That decision may have been more disciplined, even though the financial result was worse. Hypesium provides a Telegram-based trading workflow focused on the Elysium ecosystem, connecting traders with activity across multiple launchpads. What interests me is how tools like this fit into the broader challenge of improving decision quality. Faster execution can make a process more efficient, but it cannot determine whether the original reasoning was sound. For me, the real value of trading infrastructure should be measured alongside the quality of the decisions it supports. I believe traders improve when they evaluate their reasoning separately from short-term outcomes. Because luck can produce profits. But a repeatable process requires understanding why a decision made sense before the result was known. Would you rather celebrate a lucky win or learn from a well-managed loss?

@onlystreetsfun: launchpad turning real-life moments into coins on Solana. @rarelistio: creator campaigns that pay in USDT. The moment is the asset. OnlyStreets has announced no token name, no supply, no roadmap, and no launch date. The launchpad is still coming soon on Solana. What it has announced is the asset itself. A real-life moment, caught with a fresh photo taken directly in the app. No gallery uploads are allowed. Most projects sell tokenomics first and a product later. OnlyStreets sells a moment first, and the coin follows. That is why the coin cannot be copied. A moment only happened once, on one street, at one second. The Rarelist campaign runs November 11 to 17. Rank follows RARS, not post count. Only qualified activity earns RARS, and spam does not count. Rarelist's last batch paid $5,500 across three campaigns. Its Season 1 holds $50,000. Own the moment. The coin will follow.

I’ve decided to leave NVIDIA. There are a few things I want to say. As a robotics engineer at NVIDIA, I have seen Jensen as much more than the company’s CEO. I admire his willingness to invest in a future that was not yet obvious. He committed to CUDA long before the deep learning boom and positioned NVIDIA for AI before it became everyone’s priority. Those decisions helped build the infrastructure that powers today’s AI. I have seen that same vision in physical AI: investing in robotics, sharing open-source tools and projects, and building computing platforms that bring AI into the physical world. This is the work I do every day—and a future I believe in. But what matters most to me is the culture he helped build. Engineers are encouraged to explore, take risks, and learn from mistakes. Jensen reads employees’ Top 5 emails, follows their work, and engages directly. In a company this large, that connection matters. It makes an individual engineer feel that their ideas can still be heard. That is why this has been so disappointing. I do not have all the facts surrounding the allegations, and I cannot prejudge the investigation. My admiration for Jensen does not put him above scrutiny. What I find difficult to accept is having to come to terms with his departure before receiving an explanation that helps me understand it. What this means for our direction, our culture, and the people doing the work remains unclear to me. I have felt that engineers’ perspectives matter here. On this decision, I have not felt heard. That gap has been more painful than I expected. I understand that some information cannot be shared immediately. But that does not erase the feeling of being left outside a decision that affects the company we help build every day. A company’s greatness comes from its leadership, its governance, and the people who turn its ambitions into reality. Employees’ trust and sense of belonging are part of that, too. Jensen’s vision and the engineering culture he shaped were important reasons I wanted to stay. His departure led me to decide that my own chapter here should also come to a close. I leave with sadness and gratitude. The colleagues I have worked with, and the work we believed in together, will always matter to me. These are my personal views.

@zerufinance: Activity Fi on Zaps, home of zETH, the first activity token. You may already have Zaps waiting. That is the quietest line in ZeruAI's newest guide. You do not start from zero. Link your wallets, and Zeru reads your past onchain activity. Your welcome grant takes that history and your zScore into account. The wallets you have actually used matter most, so link those first. The key detail is what Zeru cannot do. It only reads your activity. You keep full control of your funds. It cannot trade or move them. From there, the path is the guide's: keep trading from linked wallets, join campaigns, refer others, and watch your position on the Hall of Fame leaderboard. Your earned Zaps decide where you stand. The race has been running since November 3. Some of it may already be yours.