The Parallel Between AI and Bitcoin: Open-Source Struggles Resemble Crypto's Early Days
In a recent edition of the Chain of Thought newsletter, penned by Ben Lilly of Brownstone Research, there is an intriguing comparison being drawn between the current landscape of open-source artificial intelligence (AI) and the early regulatory challenges faced by Bitcoin.
Lilly asserts that decentralized AI projects have the potential to emulate the investment opportunities reminiscent of Bitcoin in 2014, particularly as governments intensify their efforts to regulate open-source models.
The Warning from AI Leaders
The discussion begins with insights from Dario Amodei, CEO of Anthropic, who, during his testimony before Congress in July 2023, acknowledged the benefits of open-source in various scientific disciplines. However, he cautioned that the release of open-source models is venturing into a perilous territory.
Lilly interprets this cautionary stance to suggest that, as the narrative goes, if open-source models pose risks, then proprietary models, like those developed by Anthropic, are deemed safer. Consequently, this could lead to policies favoring the restriction of open-source and the promotion of proprietary solutions.
Historical Parallels with Bitcoin's Opposition
This narrative echoes the skepticism that Bitcoin encountered during its inception. Lilly highlights moments from Bitcoin's early days, such as Representative Jared Polis purchasing Bitcoin on Capitol Hill in 2014, and Senator Joe Manchin's vociferous calls for banning what he termed a "dangerous currency." He notes that, in recent times, there have been allegations of regulators attempting to sever cryptocurrency’s ties with the banking system, an initiative dubbed "Operation Choke Point 2.0."
Despite these challenges, Lilly points out that the cryptocurrency sector has persisted, and the regulatory environment appears to be evolving towards clearer legislation, as evidenced by the passage of the GENIUS Act and the ongoing discussions surrounding the CLARITY Act.
The Current Struggles of Decentralized AI
Lilly proposes that decentralized AI, or "DeAI," is currently in a parallel struggle. He cites significant developments, such as the U.S. imposing export restrictions on Anthropic’s latest AI model, which may compel the company to adopt a permissioned access approach that verifies users' identities before allowing access to the model. He also observes OpenAI's recent decision to limit the rollout of GPT-5.6 to select trusted partners.
Lilly foresees that identity verification requirements are likely to proliferate in the space, which he describes as being touted as measures for user protection. This sentiment is underscored by recent statements from national-security experts regarding the risks associated with certain AI models.
The Progress in Open-Source AI
Despite these challenges, Lilly highlights that the open-source sector is closing the gap with proprietary technology. He notes that the GLM-5.2 model has achieved performance levels comparable to Anthropic's Sonnet 4.6, indicating that open-source models are only a few months behind in terms of technological advancement. Lilly predicts that a competitive open-source alternative to both Mythos and GPT-5.6 could emerge by this fall.
This evolving landscape presents intriguing prospects for investors who can draw connections between the current AI regulatory environment and the historical challenges that Bitcoin successfully navigated.
