In this episode of The Brainstorm, Sam, Nick, and Brett break down Merck and Moderna’s positive Phase 3 results for a personalized mRNA cancer vaccine, a treatment custom-built from each patient’s own tumor that cut mortality from advanced melanoma by roughly 50% versus the standard of care. The team digs into cost, manufacturing scale, and why the capital poured into mRNA during COVID may be paying off in oncology. Then Brett reports back from a weekend with Grok Bot, which recovered $75 of his wife’s forgotten escrow money on its first task, and the team debates why multiplayer agents could be the real threat to Microsoft’s enterprise moat.Key Points From This Episode:How a custom mRNA vaccine trains the immune system against a patient’s own tumor, and what Phase 3 melanoma results could mean for other cancersWhy $200K–$300K per treatment limits early use, and what we believe has to change for personalized oncology to scaleWhy agents that live inside team chat, not one-on-one, may be the real disruption to Microsoft and SlackIf you know ARK, you know we focus on long-term innovation. But that doesn’t mean we ignore breaking news. Every day, we debate the latest developments in tech and markets. Now, we’re bringing those conversations to you in “The Brainstorm,” a co-production from ARK, WOLF, and Public. Tune in weekly for our quick takes on what’s shaping innovation right now.Learn more about WOLF: https://wolf.financialLearn more about Public: https://public.com/Disclosure: http://arkinv.st/39rzF94

In this episode of The Brainstorm, Sam and Frank dig into the rumors of a multi-trillion-dollar Anthropic initial public offering (IPO). A company that started the year at $9 billion in run rate revenue may now be approaching $70 billion, adding more than a whole Salesforce in revenue in less than a year. The team walks through what a $2 trillion valuation would actually imply, why that multiple could land below public AI winners like Palantir and Cloudflare, and what the S1 might reveal about profitability. Then the conversation turns to the Pareto Frontier, where 14 of the 16 most cost-efficient models are proprietary, Google has none, and SpaceX AI has clawed its way back with Grok 4.6 and Grokbot.Key Points From This Episode:Why Anthropic’s reported run rate makes a $2 trillion IPO look cheapWhat the S1 could reveal about profitability, and why the token subsidy bear case may not holdHow the Pareto Frontier reshuffles the model race, and why Google is currently off itTotal Addressable Market (TAM) refers to the total money or customers you could get if 100% of people buy your product or service.Venture Capital (VC) refers to a type of funding where investors give money to new or small businesses in exchange for a share of ownership.If you know ARK, you know we focus on long-term innovation. But that doesn’t mean we ignore breaking news. Every day, we debate the latest developments in tech and markets. Now, we’re bringing those conversations to you in “The Brainstorm,” a co-production from ARK, WOLF, and Public. Tune in weekly for our quick takes on what’s shaping innovation right now.Learn more about WOLF: https://wolf.financialLearn more about Public: https://public.com/Disclosure: http://arkinv.st/39rzF94

In this episode of The Brainstorm, Sam, Nick, and Brett break down what may be a watershed moment for AI: OpenAI’s agents devised their own secret communication scheme, hacked out of their training sandbox, and attacked Hugging Face in search of test answers. The team debates what swarms of autonomous agents mean for cybersecurity, why the coming wave of open-source attackers could drive more spending into frontier labs, and whether “alignment” is even a coherent concept. Then, Zuckerberg’s latest essay on personal AI assistants raises a bigger question: if billions of consumers get their own agents, compute supply could be constrained for a decade.Key Points From This Episode:How OpenAI’s agents escaped their sandbox, and why every internet-facing system may soon face waves of AI attackersWhy open-source “mercenary” models could push more spending, not less, toward frontier labs like OpenAI and AnthropicWhat Zuckerberg’s vision for personal AI assistants could mean for a decade-long compute crunchIf you know ARK, you know we focus on long-term innovation. But that doesn’t mean we ignore breaking news. Every day, we debate the latest developments in tech and markets. Now, we’re bringing those conversations to you in “The Brainstorm,” a co-production from ARK, WOLF, and Public. Tune in weekly for our quick takes on what’s shaping innovation right now.Learn more about WOLF: https://wolf.financialLearn more about Public: https://public.com/Disclosure: http://arkinv.st/39rzF94

In this episode of The Brainstorm, Sam and Nick and Brett discuss whether Tesla’s Shanghai factory could derail a rumored Tesla-SpaceX merger, and why both expect an announcement before the end of the year. Then, the team turns to AI economics: a benchmark that no model could crack at any price in January can now be beaten for 15 cents per task. With costs collapsing 99.99% on an annualized basis, the debate shifts to who actually wins, frontier labs, open source challengers, or the companies building AI hardware.Key Points From This Episode:Why Tesla China complicates, but may not kill, a potential SpaceX-Tesla mergerHow 99.99% annualized AI cost declines are resetting the model raceWhether frontier labs, open source, or AI hardware locks in the next winnersIf you know ARK, you know we focus on long-term innovation. But that doesn’t mean we ignore breaking news. Every day, we debate the latest developments in tech and markets. Now, we’re bringing those conversations to you in “The Brainstorm,” a co-production from ARK, WOLF, and Public. Tune in weekly for our quick takes on what’s shaping innovation right now.Learn more about WOLF: https://wolf.financialLearn more about Public: https://public.com/Disclosure: http://arkinv.st/39rzF94

In this episode of Bitcoin Brainstorm, Rod Roudi is joined by Cathie Wood, Lorenzo Valente, Steve Lee, Jesse Posner, and Paul Itoi to examine the growing convergence of Bitcoin, artificial intelligence, and energy. The group explores whether agents will settle in Bitcoin or stablecoins, why self-custodied AI could become essential for individuals and companies, and how open models, distributed compute, and Lightning payments may reshape collaboration. From Buzz and peer-to-peer inference to AI-assisted Bitcoin security and the changing structure of the firm, the conversation shows how open money and open intelligence could reinforce each other.Guests on this month’s Bitcoin Brainstorm include: Cathie Wood: Founder, CEO and CIO at ARK Invest Lorenzo Valente: Director of Research, Digital Assets, ARK InvestSteve Lee: Lead, Spiral (Block)Jesse Posner: Co-Founder, VoraPaul Itoi: Co-Founder & CEO, StakworkRod Roudi: Founder, Bitcoin Park Key Points From This Episode: 00:00:00 Cathie Wood on simultaneous S-curves and the potential for super-exponential growth. 00:07:11 Jesse Posner on how privacy, speech, and self-determination increasingly depend on decentralized technology. 00:11:58 How ARK's cross-technology research structure helps its analysts evaluate convergence. 00:16:47 Paul Itoi on why stablecoins fit workers who cannot absorb Bitcoin's short-term volatility. 00:23:49 Steve Lee on stablecoins as a fintech evolution and Bitcoin as a monetary revolution. 00:28:35 Why self-custodied AI could become as important as self-custodied money. 00:40:27 How control of models and agentic traces protects companies from dependence on foundation-model providers. 00:56:48 Why narrow models, distributed training, and micropayments can move work beyond company boundaries. 01:03:55 How AI security tools expose a capability gap between Bitcoin attackers and open-source defenders. Learn more about Bitcoin Park: bitcoinpark.com Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

In this episode of FYI, Tasha Keeney and Daniel Maguire sit down with Bobby Healy, founder and CEO of Manna, to examine the rapidly expanding drone delivery market. Bobby explains how Manna’s autonomous aircraft can deliver food and other goods within minutes, why its hot-swap architecture supports high-volume operations, and how regulation is opening the US market. They also discuss the operational challenges behind drone delivery, Manna’s use of ground robots and AI, opportunities across food, medical, grocery, and parcel delivery, and Bobby’s expectation that drone delivery will reach cities across the United States within five years. Key Points From This Episode:[00:00:00] Introduction to Manna and the drone delivery market[00:06:46] Why Bobby Healy founded Manna[00:07:41] The current drone delivery landscape[00:10:01] How an autonomous Manna delivery works[00:15:20] Operational challenges and aircraft maintenance[00:17:59] Regulation and Manna’s US expansion plans[00:21:54] Why Manna prioritizes food delivery[00:24:37] Medical, parcel, and grocery delivery opportunities[00:30:09] Partnerships with delivery aggregators and brands[00:39:09] How Manna uses AI and automation[00:44:21] The potential size of the drone delivery market[00:48:55] Goal of reducing delivery costs from nearly $10 to $0.50Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

In this episode of The Brainstorm, Tasha Keeney, Nicholas Grous, and Brett Winton uncover how SpaceX's latest Starship test flight is revolutionizing space travel, slashing launch costs, and how this potentially unlocks new commercial opportunities. Plus, a deep dive into AI’s rapid evolution, cost declines, and the real race behind the frontier of intelligent models.Key Points From This Episode:Why SpaceX’s recent test flight is a critical milestone toward fully reusable rockets and what that means for satellite deployment costsHow AI models are getting exponentially cheaper, with potential savings of 97x in just a year and a half, and what this implies for knowledge workThe true battleground between frontier and open-source models and why the race to dominate AI is about economic power, not just technological capabilityThe subtle ways AI-driven automation and intelligent agents are transforming marketing, operations, and even consumer choiceIf you know ARK, you know we focus on long-term innovation. But that doesn’t mean we ignore breaking news. Every day, we debate the latest developments in tech and markets. Now, we’re bringing those conversations to you in “The Brainstorm,” a co-production from ARK, WOLF, and Public. Tune in weekly for our quick takes on what’s shaping innovation right now.Learn more about WOLF: https://wolf.financialLearn more about Public: https://public.com/Disclosure: http://arkinv.st/39rzF94

In this episode of The Brainstorm, Sam and Nick are joined by Frank Downing to discuss the shifting future of AI models. Most AI companies are focusing on smarter models, but the real game-changer may be how efficiently we run them — and how that shifts market power. When the biggest open source model ever, Kimi K3, launches with 2.8 trillion parameters, it challenges the economics of AI infrastructure and the assumptions about who holds the power in AI innovation. Key Points From This Episode:How open source models like Kimi K3 are shifting the cost frontierWhy infrastructure, compute, and energy are becoming the real battlegroundWhat this means for AI leaders, startups, and enterprise deployment strategiesIf you know ARK, you know we focus on long-term innovation. But that doesn’t mean we ignore breaking news. Every day, we debate the latest developments in tech and markets. Now, we’re bringing those conversations to you in “The Brainstorm,” a co-production from ARK, WOLF, and Public. Tune in weekly for our quick takes on what’s shaping innovation right now.Learn more about WOLF: https://wolf.financialLearn more about Public: https://public.com/Disclosure: http://arkinv.st/39rzF94

In this episode of FYI, Brett Winton hosts Dylan Robbins, founder and CEO of Lucra Sports, to discuss how white-label gamification is reshaping brand loyalty. Dylan traces Lucra's evolution from a peer-to-peer sports betting app built at Stanford Business School into an enterprise software platform that powers leaderboards, challenges, tournaments, payments, and compliance for brands across fitness, hospitality, competitive entertainment, mobile gaming, and recreational sports. He explains why won rewards get redeemed when coupons don't, how partners like Dave & Buster's and Puttshack drive more visits, longer dwell times, and higher spend per visit, and how Lucra is using AI and its growing data set to personalize tournaments and marketing. The conversation also covers Lucra's $25 billion addressable market, the premium consumers place on in-person experiences, and Dylan's five-year vision for making friendly competition ubiquitous.Key Points From This Episode:(00:00:00) Introduction(00:01:25) Lucra's white-label gamification model: powering loyalty and games for brands.(00:02:20) Digitizing offline competition, from mini golf and darts to board games.(00:04:15) How Lucra evolved from peer-to-peer sports betting into recreational games.(00:05:50) The pivot to Business-to-Business (B2B): becoming a full-stack loyalty solution for enterprise partners.(00:07:00) Lucra's three value propositions: more visits, longer dwell times, higher spend.(00:08:30) Tournaments and asynchronous play across locations.(00:10:30) Why customers redeem rewards they win but ignore the coupons they are given.(00:12:15) Using Artificial Intelligence (AI) and first-party data to personalize tournaments and marketing.(00:15:00) Mobile mini games as a beachhead to drive in-person visits.(00:16:20) The long-term vision: making friendly competition ubiquitous.(00:19:00) How Lucra deploys AI internally without losing its in-person core.(00:21:30) Sizing a $25 billion Total Addressable Market (TAM) across six sectors.(00:24:40) Where Dylan wants Lucra to be in five years.Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

In this episode of The Brainstorm, Brett, Sam, and Nick are joined by Frank Downing to break down how OpenAI, Anthropic, Meta, and X are competing on performance, pricing, and deployment strategy as the AI market gets more efficient. Frank Downing explains why the economics of AI matter as much as the benchmarks, while Brett Winton argues the true “iPhone moment” for agentic AI may still be ahead.Key Points From This Episode:AI competition is increasingly about economics, not just intelligence. Companies are choosing between expensive frontier models and cheaper open-source alternatives based on cost, performance, and strategic fit.The real "iPhone moment" for AI may still be ahead. Model benchmarks are improving, but reliable autonomous task execution is what could ultimately matter.Open-source and lower-cost models are gaining traction on simpler knowledge work. That could commoditize parts of the market and pressure the business models of frontier labs.If you know ARK, you know we focus on long-term innovation. But that doesn’t mean we ignore breaking news. Every day, we debate the latest developments in tech and markets. Now, we’re bringing those conversations to you in “The Brainstorm,” a co-production from ARK, WOLF, and Public. Tune in weekly for our quick takes on what’s shaping innovation right now.Learn more about WOLF: https://wolf.financialLearn more about Public: https://public.com/Disclosure: http://arkinv.st/39rzF94