Patrick O'Shaughnessy × David Vélez

Vélez sees fintech disruption in its first inning: roughly 90% of the $10 trillion consumer-finance market still runs through branches.Nubank serves 140 million customers with 10,000 employees, at about 3% of traditional incumbents' cost to serve.Its US launch and stablecoin-backed accounts in upwards of 35 countries test whether that efficiency can travel, with organic brand-building the key hurdle.

Michael Arrington

Michael Arrington frames AI panic, sovereign debt, geopolitical tension, and institutional decay as overlapping Fourth Turning symptoms, not one clean “doom” event.He argues US labs cannot slow AI development while China may continue racing; Bitcoin could hedge institutional risk and become autonomous AI’s native transaction layer, while founder psychology and capitulation inform bear-market entry.

DeFi Dad × Nomatic × Kyle

Capital is concentrating in businesses with usage, revenue and tokenholder alignment, as Hyperliquid’s roughly 99% buyback model raises token-economics and disclosure standards.Kyle favors Venice’s VVV and selected digital-asset treasuries, while expecting a K-shaped cycle where roughly 90% fail and strong alts can rise even if BTC ranges around $90,000-$100,000.

邵艾伦 × 孙宇晨

核心不是押中单一赛道，而是把健康、工作与决策沉淀为可迁移数据，用多模型交叉分析并持续调参。机会集中在数据密集且处理不足的领域，AI基础设施、生物健康金融、全球支付与Agent结算可受益于更低的搜索、分析和交易成本，但波场规模、合规与采用仍待验证。

Doug Colkitt

AI’s progress from contest mathematics to Erdős problems, a claimed Navier–Stokes result, and 400 open problems has widened uncertainty around cryptographic hardness, without showing an imminent break.Doug sees signature forgery as an internet-wide threat, but favors Y2K-style migration over bunker mode today: years could permit hash-signature upgrades, while weeks might not, and formal verification may offer nearer-term security gains.

Jason Yanowitz × Santiago Roel Santos

AI’s narrative dominance masks a possible crypto bull market, as Yano reports revived interest after 18 barren months and tokens that have increased 50 times.Anthropic’s reported $1 of revenue per $60 of compute, possible ARR stabilization, and customer switching leave frontier-model economics unresolved, while 1 gigawatt of AI capacity costs $50–60 billion.Falling inference costs could strand capacity or trigger Jevons’ paradox, as LPs seek crypto’s growth-stage fintech opportunity as a countercyclical alternative to crowded AI.

Avi Felman × Jonah Van Bourg

Avi’s GP dispute alleges holders publicly promised to hold while selling concealed inventory, making on-chain wallet behavior the key test of verifiable trust.Both hosts contrast meme-coin speculation with positive-sum crypto built on “good product, good revenues, good team,” citing Avi’s ZRO-versus-ETH trade and Robinhood’s perpetuals rollout through Bitstamp.They frame five-year mega trends, retail investors’ tolerance for volatility and AI-driven concentration as the durable signals, while leaving the best expression—broad exposure or concentrated winners—unresolved.

Peter Diamandis × Emad Mostaque × Cathie Wood × Nikhil Chandhok

Peter said a Tesla-SpaceX merger could be announced this year, and Cathie said ARK believes it will happen, combining rockets, broadband, AI, electric vehicles and energy around Musk’s Mars-directed compute strategy, though China remains a major obstacle.Nikhil Chandhok expects AI agents to outnumber humans next year, while Arc tests agent credit and stablecoin rails whose capacity must grow from tens of thousands to potentially millions of transactions per second.

Kevin × Yan × Jose × Jason × Ceteris

Crypto returns concentrated in stores of value and revenue-producing protocols including Zcash, Ethena, LIT and HYPE, while ETH and SOL lagged.Zcash’s constrained mining supply and Bitcoin-relative reflexivity supported upside, but its store-of-value trade remains vulnerable to an 80% drawdown.HYPE’s buybacks, RWAs, HyperEVM and new products offer catalysts, alongside onchain options and tokenized equities, amid liquidity, protocol and macro risks.

Jordi Visser

Jordi Visser sees a “bear market happening inside a bull market”: Magnificent 7 stocks make highs while IWM/QQQ and rate-sensitive sectors trade at bear-market levels.Quiet credit spreads, jobless claims and earnings up 17% challenge the rate-doom trade, while Meta’s Muse makes consumer agents a 12-month catalyst whose hype could fuel multiple compression over the next 3 months.