／ &TEAM KR 1st Mini Album 'Back to Life' Official MV 30 million views on YouTube!! ＼ LUNÉ, thank you for pushing us past the limit🌕 🎥 #ThankstoLUNÉ# #BacktoLife# #andTEAM# #앤팀#

A clean sheet for Matt Freese, the US men's national team goalkeeper. TIL that he turned down Manchester United as a teenager to go to Harvard and study economics and computer science (this makes him spiritually Asian btw). He's a legit data nerd too - models expected goals, builds Pythagorean expectation formulas, and did deep research on penalty-taker tendencies that gives him a real edge. He said that he'll publish the full findings only after retiring from football. He's also Catholic so I'm guessing, his baseline is pretty based. Well done to him and Team USA! 🇺🇸

Main takeaways from @pointzeroforum > the frame for the whole forum: europe regulates, asia builds, the us scales liquidity, and whoever owns the settlement asset owns the rails > antoine martin (@SNB_BNS) opened by saying central banks aren’t the innovators and the private sector has to step in > zurich was very hot, the kongresshaus aircon did not survive day one > project agorá took over the roundtables, 8 central banks and 40+ institutions all asking if tokenization fixes cross-border without breaking the banking system > the recurring obsession was settlement, everyone wants T+1 to go instant and nobody’s there yet > matcha game was weak this year, sort it out for day three > stablecoins everywhere, anchorage (@sergiofly) on tokenized deposits, circle on stage, and the reminder that 97% of the market is still dollar > “agentic economy” got its panels but it was all identity and trust, near zero on actual m2m payments > met old friends @AlessiaBaumgar , @gaudenzio_eth , @Lili_Zurich > best networking was in the palmenhaus, conference badges in a greenhouse is a vibe > very different energy from crypto cons, central bankers giving real answers in 1.5hr panels that went deep > shout out to @pointzeroforum, @gftn_official and team for a genuinely senior room

NEW EPISODE - How @HyperliquidX Becomes the Backend for ALL of Finance @multicoin cofounder @tushar_jain joins @TrustlessState to unpack why @HyperliquidX may be much bigger than a fast-growing perp DEX. Portfolio margining, HIP3 markets, builder codes, real vs farmed volume, hyperliquid:native value capture, unlock risk, and the path to US access. The big idea: every market, one DeFi backend. TIMESTAMPS --- 0:00 Intro 1:50 Perps Get TradFi’s Attention 3:17 More Than a Perp DEX 6:29 Why Portfolio Margining Matters 11:13 HIP3 and Permissionless Market Creation 13:47 Hyperliquid Becomes a Platform 19:54 The On-Ramp Question 21:36 Perps Are Not the Whole Thesis 28:04 Cash Flow as the Credibility Signal 33:05 Valuation Multiples and Lighter 34:36 Multicoin’s HYPE Framework 42:05 Token Value Capture 43:34 Unlocks, Wealth, and Team Motivation 48:30 The US Perps Question 52:27 Does Hyperliquid Need to Come Onshore? 54:32 The Final Bull Case --- RESOURCES Multicoin's Hype Analysis and Valuation report can be found here: The report includes important disclosures concerning the data and assumptions by Multicoin discussed today. Multicoin may have interests in companies mentioned during the episode.

Yes, our latest special guest is Fuli Luo @_LuoFuli . The second battle in the global large model arms race has begun: shifting from the Chat era dominated by pre-training to the Agent era driven by post-training. This marks Fuli Luo’s first-ever interview, as well as her first in-depth technical conversation. We talked systematically about the massive AI upheaval triggered by technological breakthroughs including Claude Opus 4.6 and OpenClaw in 2026, along with its subsequent structural impacts across the industry. Amid the fierce large-model arms race, the world around us is undergoing brutally rapid changes—even for researchers who train models firsthand. “I used to believe our work was highly creative, and could never be simplified into fixed skills or standardized workflows. But now I realize it can be automated after all. If that’s possible, can models train stronger models on their own? Can they achieve iterative improvement through self-evolution? This is exactly what will unfold in the next couple of years,” Fuli Luo says. As human knowledge and wisdom are internalized into model capabilities, what will humanity pursue in the future? Is our society truly ready for this tsunami-scale technological revolution? All in all, this is an information-dense dialogue. It reveals how an AI lab makes strategic technical bets, allocates resources, and adjusts organizational structure and team planning amid a major paradigm shift. At the core of its response to drastic change lies its established culture and core values. Though lengthy and technically intensive, we hope this conversation brings great insights to every viewer. Our podcast, video episode and article are released simultaneously across platforms, with English subtitles provided to assist non-Chinese-speaking audiences. Luo Fuli: OpenClaw, Agent Frameworks — The AI Paradigm Has Already Chang... 来自 @YouTube