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嬉しそう………!!! 🤭🤭🤭❤ #載せ忘れてた久々の隠し撮り# #withピーチアールグレイマフィン# #紅茶といえば鬼子さん# #美味しそうだったね#

Juliet’s 18th birthday #04# Peach Milky watches over Juliet, who is worried about Nick being bitten by a zombie. RePOP has increased its attack power with Nick Tickets, so be sure to give it a try! ゾンビにかまれたニックを心配するジュリエットを見守るピーチミルキー。 RePOPはニックチケットによる攻撃力を強化したので、ぜひ試してみてね！ #LOLLIPOPCHAINSAWRePOP# #ロリポップチェーンソーRePOP# #PeachMilky#

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.

COOPER FLAGG PASSED KOBE FOR THE 2ND MOST POINTS BY A TEENAGER 👏 Flagg has scored 1,762 points so far in his career... and now only trails LeBron James who holds the No.1 spot with 2,362 points!

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?

The hidden giant of Web3 Most people still think @WalletConnect is just a QR code pop-up In reality, it’s the invisible backbone of the entire onchain economy: • 700+ wallets connected • 80,000+ apps integrated • $207.8B volume in H1 2026 + $100B in Q3 alone • 95.7M $WCT staked securing the decentralized relay network One open-source standard linking every major chain, wallet, and institution without ever exposing your private keys Without WalletConnect, Web3 is just isolated islands With it, everything moves as one

PeakCut hit 302 stars in its first day by cutting vertical shorts live while your stream is still running — no more hunting highlights by hand. Finding the moments worth clipping is the grind. Paste a YouTube, Twitch, or Kick link and PeakCut transcribes the audio, asks an AI which moments would hold a stranger's attention, and renders each one as a 9:16 clip with word-by-word captions. The standout is live clipping: it records the stream into a rolling buffer and cuts highlights as they happen, using loudness, chat activity, and the transcript. No AI key? It still runs, picking clips by loudness instead. It's for creators who clip their own streams regularly, especially live streamers; finished clips can queue to your own YouTube, Instagram, or TikTok. Only cutting one clip now and then? Skip it. One catch: the first start downloads a ~480 MB speech model, and ffmpeg is required. Live clipping is the real differentiator. Try it on one old stream, see if the AI's picks match your taste, then decide if it earns a place in your workflow. When you cut vertical shorts, what's the worst part — finding the highlights or fixing the captions? #AIClipping# #Shorts#