Solana (SOL) Co-Founder Yakovenko Pins AI Slowdown Calls on $1 Trillion Profitability
Solana (SOL) co-founder Anatoly Yakovenko calls the AI industry's slowdown push a $1 trillion profitability move, as David Sacks decries lab hypocrisy.
AI SummaryAI
- Anatoly Yakovenko replied “Profitability at $1 trillion mcap” to Dario Amodei’s AI pacing essay on X.
- Dario Amodei proposed third-party evaluators with standing inside access to audit AI training and models.
- David Sacks argued labs believing in deadly AI risk should halt work voluntarily, not lobby regulation.
- Sam Altman accepted staff-level access for external evaluators; Elon Musk echoed Amodei’s safety concerns.
Yakovenko Answers Amodei’s Pacing Essay
Anatoly Yakovenko, the co-founder of Solana (SOL), has publicly dismissed the AI industry’s coordinated call to slow frontier-model development, framing it as a move to lock in trillion-dollar valuations rather than a genuine safety measure. The dispute began when Anthropic CEO Dario Amodei published “We Must Pace the Frontier,” an essay arguing that model capabilities — including recursive self-improvement, in which AI systems help build their successors — are advancing faster than safeguards can keep up, and that leading labs should therefore adopt paced development under outside oversight. Amodei explicitly ruled out a full stop to training, and Anthropic committed to applying the framework to itself first. Sam Altman of OpenAI and Elon Musk of xAI echoed the safety rationale within hours, though no binding halt agreement between the companies has been confirmed. Yakovenko’s response was economical. Replying directly to Amodei’s manifesto, he delivered a four-word verdict — “Profitability at $1 trillion mcap” — then followed up by joking that he had instructed his Codex coding agent to use tokens more sparingly, openly mocking the notion of an artificial pause. The post carried no cost breakdowns or financial disclosures, and the link between the $1 trillion figure and lab economics remains Yakovenko’s personal interpretation. But the implied argument is direct: chip, power and data-center expenses are compounding, and backers of labs valued at or near a trillion dollars increasingly expect realized profit instead of open-ended budget burn. Social media users quickly amplified the same reading — that a slowdown conveniently shields incumbents from fast-moving open-source challengers — though no company filing substantiates any such motive, and the debate now reaches well beyond the labs into the Solana ecosystem.
“Profitability at $1 trillion mcap”https://x.com/toly/status/2098982071452696976?s=20
Sacks Slams Hypocrisy of Voluntary Halts
David Sacks, the former White House AI and crypto czar, escalated the fight. In a post on X, he argued that if OpenAI and Anthropic genuinely believe their next systems are deadly, they do not need industry-wide legislation — they can halt their own work voluntarily. Instead, he contended, top-down regulation serves two pragmatic goals for incumbents. First, strict compliance barriers would freeze out startups and open-source projects — he cited Meta’s model releases and the Hugging Face platform, both rapidly closing the gap with commercial leaders — effectively manufacturing an OpenAI–Anthropic duopoly. Second, a global AI truce is unworkable because China will not honor such pacts, meaning restrictions on American labs amount to voluntary technological capitulation by the United States. The proposal underneath the rhetoric is more granular than headlines suggest. Amodei’s plan would grant third-party evaluators standing, inside access to AI companies, letting them audit not only finished models but also training runs and development procedures for safety compliance and incident review. Altman has signaled acceptance of external evaluators receiving access comparable to that of employees, while Musk endorsed Amodei’s concerns without committing xAI to any accord. Amodei conceded that international coordination — China included — is difficult, and separately warned that uncontrolled clusters of AI agents could dominate the internet within six to twelve months, a projection rather than an observed event. No concrete operating model for the evaluators, or terms for other labs’ participation, has been published. Markets, for their part, are not pricing in panic ahead of Monday’s open: the prevailing read is that a slower frontier cadence stretches equipment procurement cycles rather than cutting AI infrastructure investment — capex deferral, not capex cuts. Readers tracking the market in real time can follow live spot and futures prices on MEXC.
a post on Xhttps://x.com/DavidSacks/status/2098973625252708460?s=20
Cost of “Safety” Now a Web3 Question
For COINOTAG, the load-bearing primary record is the X reply itself: a four-word post that reframes a safety debate as a capital-markets story. The stakes reach the Solana network and its Web3 economy, where on-chain trading volume and memecoin trading activity have kept expanding even in cool markets, alongside a record 263,151 new SPL tokens created in a single day. If third-party audits materialize as Amodei outlined, compliance costs land on every frontier lab; if the rhetoric fades, the $1 trillion profitability question stands unanswered. Either way, capital allocation between AI infrastructure and crypto rails will track the outcome as altcoin markets digest the exchange.
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