Jeff Park argued that crypto is entering a phase similar to Nvidia’s pre- 
mainstream AI era, when the technological shift was visible to early believers 
but not yet obvious to the broader market. In an X post defending crypto’s 
ideological roots on Sunday, Park framed today’s industry as being in a 
difficult “middle game” before onchain capital markets become self-evident 
infrastructure. Park’s comparison centered on Nvidia CEO Jensen Huang and Elon 
Musk’s first public appearance together at GTC 2015, a moment he described as 
occurring inside a narrow window before AI had become a mainstream consumer or 
institutional priority. By then, Huang had spent decades backing parallel 
graphics processing and had supported CUDA since 2006, while Musk had already 
had what Park called his “Hassabis moment” in 2012. OpenAI, he noted, had not 
yet been founded. “This is that narrow window where a revolution is visible to 
some but not others,” Park wrote, “in which both of these geniuses had early 
inklings of recognizing AI’s pervasive potential, but the broad public was not 
yet made aware. It would take another 10 years for it reach mainstream 
applications of course.” Why Crypto Looks Like Nvidia Park said he sees crypto 
in a similar position today. Before GPUs became central to the AI boom, the 
technology was sustained by gamers, hobbyists and researchers who pushed its 
capabilities without necessarily knowing they were helping subsidize a much 
larger computing transition. In his analogy, early DeFi played a comparable 
role for crypto by subsidizing the development path toward institutional 
tokenization. Related Reading: European Commission Launches Crypto Rules 
Review As Euro Stablecoin Project Gains Support “Gamers subsidized AI’s 
development, just like early DeFi subsidized the institutional tokenization 
development,” he wrote. The core of Park’s argument is that crypto’s hardest 
phase is not the early ideological phase or the eventual mature phase. It is 
the transitional stage between them. He borrowed from Elon Musk’s remarks 
about autonomous driving at GTC 2015, where Musk said the simplest parts were 
very low-speed driving, where a vehicle can stop, and high-speed driving, 
where rules are more structured. The hardest part, in Park’s telling, is the 
10-to-50 mph zone: urban environments with bikes, children, cones, manholes 
and edge cases requiring both precision and speed. Park applied that framework 
to crypto infrastructure. The “0-10 mph” phase was permissionless money, a use 
case he said people could understand from a practical standpoint. The “50 
mph+” phase, in his view, will be onchain capital markets becoming obvious 
because of self-custody, capital efficiency, money velocity and settlement 
optimization. The difficult part is what sits in between. “But its the 10-50 
thats hard, where money in a pre-internet financial infrastructure is hitting 
AML/KYC, offshore capital conduits, discretionary bank risk models, lagging 
reporting regimes create all kinds of need of need for precision and speed 
that institutional infrastructure today needs to develop further,” Park wrote. 
“Its fundamentally solvable, but this is the most challenging portion of 
fulfilling the dreams of onchain capital markets.” Related Reading: Washington 
Moves To Review Crypto Tax Rules With New IRS Study Bill Park also drew a 
distinction between Bitcoin and the wider crypto sector, while rejecting the 
idea that support for one must exclude the other. He said Bitcoin and crypto 
are not trying to solve identical problems, even if both originate from a 
similar ideological impulse around open access. “I love bitcoin. But contrary 
to some opinion, I believe its possible to love crypto too, because bitcoin is 
a monetary experiment enabled by the evolution of technology, while most of 
crypto is the inverse: a technology experiment enabled by the evolution of 
money,” he wrote. “They are fundamentally solving different problems, though 
rooted in one ideal: to make its access as much of a public good as possible.” 
Park’s broader thesis is that the ideology behind crypto is not fading but 
changing shape. He described the “winning ideology” as “technological 
financialization,” a form of hyperfinancialization with decentralizing 
elements that exports sovereign finance, agentic rails and self-determination 
as public goods. That framing matters because much of the industry’s current 
debate is focused on whether crypto’s institutionalization weakens its 
original purpose. Park’s answer is that the ideological layer remains 
essential, but the practical expression of that ideology is now moving through 
financial infrastructure, tokenized markets and systems that need to interact 
with existing compliance and banking regimes. “This ‘middle game’ period will 
be remembered as the most critical juncture for the industry,” Park wrote, 
adding that the future belongs to “those who recognized it was always 
ideological.” At press time, the total crypto market cap stood at $2.55 
trillion. Featured image created with DALL.E, chart from TradingView.com

Jeff Park argued that crypto is entering a phase similar to Nvidia’s pre- mainstream AI era, when the technological shift was visible to early believers but not yet obvious to the broader market. In an X post defending crypto’s ideological roots on Sunday, Park framed today’s industry as being in a difficult “middle game” before &#8230;

Crypto Today Looks Like Nvidia Before AI Went Mainstream, Jeff Park Says

S&amp;P 500 Q1 earnings grew 27-28% YoY, the highest since Q4 2021. Magnificent 
Seven posted 63.2% EPS growth while non-Mag7 hit 17.4%, their best in five 
years.
The post S&amp;P 500 earnings growth accelerates to highest level since 2021, 
powered by Magnificent Seven appeared first on Crypto Briefing.

S&amp;P 500 Q1 earnings grew 27-28% YoY, the highest since Q4 2021. Magnificent Seven posted 63.2% EPS growth while non-Mag7 hit 17.4%, their best in five years. The post S&amp;P 500 earnings growth accelerates to highest level since 2021, powered by Magnificent Seven appeared first on Crypto Briefing.

S&amp;P 500 earnings growth accelerates to highest level since 2021, powered by Magnificent Seven

The incident heightens geopolitical tensions, potentially impacting global 
energy markets and increasing scrutiny on financial transactions.
The post Iran accuses US of deadly missile strike killing 24 in Lamerd during 
joint operations with Israel appeared first on Crypto Briefing.

The incident heightens geopolitical tensions, potentially impacting global energy markets and increasing scrutiny on financial transactions. The post Iran accuses US of deadly missile strike killing 24 in Lamerd during joint operations with Israel appeared first on Crypto Briefing.

Iran accuses US of deadly missile strike killing 24 in Lamerd during joint operations with Israel

The Kohaku SDK could redefine privacy norms in Ethereum, potentially 
increasing regulatory scrutiny while democratizing cryptographic tools.
The post Kohaku Initiative releases SDK for wallet-level privacy integration 
appeared first on Crypto Briefing.

The Kohaku SDK could redefine privacy norms in Ethereum, potentially increasing regulatory scrutiny while democratizing cryptographic tools. The post Kohaku Initiative releases SDK for wallet-level privacy integration appeared first on Crypto Briefing.

Kohaku Initiative releases SDK for wallet-level privacy integration

The strike exacerbates US-Iran tensions, potentially impacting regional 
stability and air traffic, while market reactions suggest cautious optimism.
The post US missile strike on Iran sports hall kills 24, raises airspace 
closure concerns appeared first on Crypto Briefing.

The strike exacerbates US-Iran tensions, potentially impacting regional stability and air traffic, while market reactions suggest cautious optimism. The post US missile strike on Iran sports hall kills 24, raises airspace closure concerns appeared first on Crypto Briefing.

US missile strike on Iran sports hall kills 24, raises airspace closure concerns

Encouraging LLMs to express uncertainty could enhance trust and reliability in 
AI applications, impacting fields like finance and beyond.
The post Google paper advocates for LLMs to express uncertainty clearly 
appeared first on Crypto Briefing.

Encouraging LLMs to express uncertainty could enhance trust and reliability in AI applications, impacting fields like finance and beyond. The post Google paper advocates for LLMs to express uncertainty clearly appeared first on Crypto Briefing.

Crypto Today Looks Like Nvidia Before AI Went Mainstream, Jeff Park Says

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