This episode of Uneasy Money features host Kane Mark alongside co-hosts Taylor Monahan (security expert and former MetaMask) and Luca Netz (CEO of Pudgy Penguins). Their guest is Porter Stoll, CEO of W3.io, who brings a decade of experience across IBM Blockchain, Coinbase, Filecoin, and Hedera, and is now building AI agents and programmable infrastructure for on-chain finance.

The conversation opens with a deep dive into Coinbase's sweeping product announcements — including the Deribit acquisition, tokenized stocks, agentic payments via Base MCP and x402, and a Bitcoin rewards credit card — debating whether the exchange is finally fixing its core UX or spreading itself too thin. Luca reveals that Igloo has developed a novel financial instrument to list crypto tokens directly on the NYSE or NASDAQ. The panel then shifts to the dramatic shutdown of Anthropic's Fable AI model via government export control, dissecting the communication failures between Dario Altman and the Trump administration. The episode closes with analysis of Michael Saylor's Strategy selling 32 Bitcoin to 'test the market,' triggering a panic sell-off, and what it reveals about Bitcoin's belief-based fragility.

Coinbase's Big Announcements: Ambition vs. Core UX

Porter, 4 years removed from Coinbase, sees the announcements as a continuation of a long-standing strategy: 'They're making a concentrated effort to be the one-stop shop for everything retail and everything institutional.'

Luca, a self-described Coinbase power user, argues the core product still underperforms competitors: 'Can you just do the thing that you're supposed to do — just as good as your biggest competitors? They're going wider, not deeper.'

Luca described a $1M Zcash trade where only $700K filled and the UI showed an incorrect mark price of $380 when the real price was $300.

He says he has to troubleshoot Coinbase 'once a week' just to buy Bitcoin — charts won't load across devices.

Porter attributes Coinbase's product quality to exceptional internal discipline: 'Colleagues who worked at Google said Coinbase was 3x the product management discipline. You can't assemble a crew like that and put restrainers on them.'

The panel identifies two sources of community antipathy toward Coinbase: legitimate frustration with fees and UX, and a 'cool to shit on' dynamic that inflates minor issues — similar to what MetaMask experienced.

Merging US spot markets, Deribit, and international derivatives is seen as addressing tech debt and consolidating liquidity — but Luca says his problems are more fundamental than spreads or depth.

Agentic Payments: Base Is the Only One Thinking About This

Kane argues Base is not just furthest ahead on agentic payments infrastructure — 'they're the only ones who are really even thinking about this,' citing the Base MCP and x402 announcements as the sleeper story of the day.

Porter frames Coinbase's agentic play as a convenience-first enterprise pitch: 'I have no idea how to do this, but I want to one-stop shop it. Coinbase, great reputation, works with AWS. Boom.'

The panel distinguishes two agentic use cases: user-facing agents (still unclear UX) vs. agent-to-agent micropayments for API calls — the latter being a more natural fit for on-chain rails.

Kane: 'It might be like a tiny fraction of a Bitcoin — for an API call. And so that's like, oh yeah, sure, go and do that thing.'

Taylor notes the chicken-and-egg problem: the payment infrastructure needs agents on the other end actually buying things before it becomes non-theoretical.

Porter sees W3.io as complementary rather than directly competitive: 'Coinbase competes on convenience. I'm offering something different — more à la carte for people who want to pick their custody, payment rail, and compliance separately.'

Tokenized Stocks: What Does 'Real' Actually Mean?

Coinbase announced tokenized stocks with 'no derivatives, no IOUs,' but the panel notes a token is legally a different instrument from a share — making the 'real' claim ambiguous pending documentation.

Kane's best guess: Coinbase holds shares one-for-one in custody and issues tokens against them, similar to how USDC is backed by dollars in a regulated bank account.

Kane argues most users don't care about the instrument — they care about the venue: 'Is the venue solvent? Does it have liquidity? Is it tracking the price? What are the fees?' Voting rights are irrelevant to retail.

Market makers are increasingly pivoting from native token liquidity to equity perps: 'All of the push is away from token launches and toward equity perps — because perps are by far the best instrument. You can have a 1x leverage perp that's the same as holding the share.'

Luca reveals that Igloo built a novel financial instrument to list crypto tokens directly on the NYSE or NASDAQ, one-to-one redeemable in crypto markets, structured as a security to enable direct protocol revenue distributions to shareholders.

The instrument is defined as a security, enabling fee distributions from protocol revenue directly back to shareholders.

The barrier to entry is steep: underwriting costs run $10–20M depending on due diligence rigor, plus a portion sold to underwriting banks like Goldman or Cantor.

Luca connected with Superstate's Brock Pierce through this process, referencing the Superstate model of making a share and a token the same legal instrument.

Fable's Shutdown: Government Rugs Anthropic's Best Model

Anthropic's Fable model — described as Mythos wrapped with a hard fallback trigger — was pulled via export control after a 'highly credible trusted partner' surfaced a jailbreak and Dario refused to patch it before deployment.

David Sachs stated publicly: 'If those guardrails fail, you've exposed Mythos and its advanced cyber capabilities. The admin asked Dario to fix the jailbreak or deploy the model. Dario refused. The admin issued the export control reluctantly.'

The model had already been given to ~10 security researchers pre-launch, all of whom independently found zero-days in legacy Linux modules from the early 1990s.

Kane's core diagnosis: Dario committed a fatal communication error by telling the government that jailbreaks are impossible to fully prevent — 'You say that to the admin, they're going to be like, what if they shut down all of our models?'

Kane's suggested playbook: lead with mitigation data (monitoring, reporting systems, zero evidence of offensive use), never with epistemological uncertainty about safety guarantees.

The panel contrasts this with what Luca would say to David Sachs: 'I steelman it — if we don't have access to this, somebody else will. The Chinese are going to open source it.'

The broader precedent concerns Kane more than the immediate loss: 'The cat's out of the bag. The government now knows it can shut down models if they don't like them — and the market didn't react. No one really reacted.'

Kane draws a parallel to crypto: 'The government started blowing the brains out of crypto founders and realized no one cares. It's actually fine.' The same dynamic may now apply to AI models.

The panel agrees Anthropic's structural problem is a lack of DC-based policy staff: 'You're a multi-billion dollar company about to go public. Why are you flying people to DC? How do you not have people that live in DC?' — Kane

Strategy's 32 Bitcoin Sale: Belief Systems and Structural Risk

Strategy sold 32 Bitcoin (~$2M) on June 1st, triggering a broad market panic sell-off, then bought back 1,587 Bitcoin roughly two weeks later — with Saylor publicly stating 'I never said I wouldn't sell my Bitcoin. I told you not to sell your Bitcoin.'

Luca's read: the sale was a deliberate market test — 'gauge the reaction of what would happen if they were sellers. Start planting the seed that they are sellers.'

Kane's structural critique: Bitcoin's belief-based system creates fragility when too much supply is concentrated in one holder. 'There's no fundamentals to go back to — it's such a belief-based system that if one guy has too much of it and we think he might dump on us, there's nothing to stop the rational move of selling.'

Kane used a Pudgy Penguins analogy: if someone secretly accumulated 50% of Pengu supply and said they were 'testing the market,' any rational holder would immediately sell to get out of the way.

'He sold 32 Bitcoin and then everyone else sold like 32 million Bitcoin. Those people need to look in the mirror and ask why they put their faith in this nut who trolls them.'

The panel's proposed solution: 'We need more Sailors — like 2 guys, and then they can disagree with each other.' Diversifying the whale base would reduce single-point-of-failure belief risk.

Europe, Regulation, and the Cost of Compressed Outcomes

Binance is reportedly losing its bid for a MICA license in the EU. The panel is largely indifferent: 'People have VPNs. Europe will find a way. Every major European crypto exchange rugged or shut down.'

Kane frames Europe's regulatory model as 'DAO governance writ large — weird incentive incompatibility, decisions made by people detached from the thing, lowest common denominator thinking.'

The panel's core economic argument: compressing outcomes (preventing failure) necessarily compresses upside. 'If you compress outcomes, you're going to have a bad time. That's the trade — but they think they can get away with it and there's no downside.'

Kane draws a parallel to Australia's nanny-state dynamic: 'In the US, the line between death and success is so thin. The consequence is people are like — if you can fail, you can also succeed.'

On European AI competitiveness: 'You cannot create an AI that can learn in that environment. And you know how you know? Because there isn't one. You have empirical evidence of why that won't happen.' — Kane

Resources Mentioned

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