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Arthur Hayes: AI "Safety First" is essentially a destruction of computing power demand; the U.S. government's ultimate choice in all scenarios is to print money, which ultimately benefits Bitcoin

Arthur Hayes published a new long article titled "Safety First," with the core argument that the claims of "safety first" by Anthropic, OpenAI, and SpaceX, which lead to a slowdown in AGI development, are not out of concern for human welfare but rather due to economic realities. The market does not want AI; it wants AI at "Chinese prices," meaning it needs intelligence that is 100 times cheaper than what is currently available. Hayes points out that "safety first" essentially destroys the demand for computing power. If the spending on training new models decreases and laboratories shift towards efficiency optimization, customers will spend less on computing power. The three major AI laboratories do not generate any profits, and their demand for computing power supports over $10 trillion in investment-grade debt and hundreds of billions in low-quality debt, which rely on profitable tech companies like Nvidia, Broadcom, Google, and Microsoft for off-balance-sheet endorsements. The real backstop is the holders of insurance policies in the United States.Hayes cites an analysis by Nick Nameth that reveals a "self-insurance scam": private equity giants (such as Apollo, KKR, Brookfield, etc.) acquire insurance companies, stuffing AI data center debt and SaaS private credit impacted by AI into insurance assets, and then provide false endorsements with minimal capital through affiliated self-insurance reinsurance companies. Nameth estimates that the total amount of these false reinsurance assets reaches $1.54 trillion. Once the AI data center debt is downgraded by rating agencies due to insufficient demand for computing power, insurance companies will be forced to add capital, while the affiliated reinsurance companies will be unable to pay, leading to insolvency for the insurance companies. In most states in the U.S., the insurance protection limit is only $250,000 to $300,000, and existing insurance companies only pay into the protection fund afterward, which encourages all parties involved to maximize risk-taking. When AIG was bailed out in 2008, TARP funds ultimately flowed to Goldman Sachs and led to record bonuses, while the general public only received foreclosure notices; Hayes believes this scenario will repeat itself.For cryptocurrency investors, the conclusion is a win-win situation. If the U.S. government chooses to become the "last buyer of computing power," it will print money in the name of national security to fund unproductive economic goods, driving up financial speculation and Bitcoin prices; if the government chooses to bail out insolvent insurance companies, it will also need to print money to cover bad AI debts, increasing the money supply and pushing up Bitcoin. Hayes specifically points out that the Federal Reserve voted unanimously last week to raise interest rates by 25 basis points, and RMP bond purchases have stopped since August 14, but commercial banks have taken over to create over $100 billion in currency, and the interest rate hike allows banks to earn an additional $7.5 billion in excess reserve interest each year. This money will be used to expand loans and market speculation, and the net effect remains stimulative. The fluctuations in the cryptocurrency market, which saw a slight increase at the end of August, are about to end, the supply of dollars will continue to grow, and Bitcoin and some selected altcoins will rise. Hayes also described this situation as "incredibly wonderful," stating that the government will not allow the free market to stop building AI data centers, there will be an oversupply of spot computing power, the usage of AI agents will increase, and the surge in money printing will drive investors to chase cryptocurrency assets.

Arthur Hayes released the FLOP yellow paper, planning to airdrop all tokens

Arthur Hayes released a new project FLOP white paper on social media. FLOP is a proof of useful inference (PoUI) blockchain and native currency aimed at the agent economy, where AI agents can use FLOP to pay miners for inference fees. The network adopts an architecture that combines PoUI with account-based chains, where agents submit session requests to the memory pool containing model weight hashes, maximum latency, computational load, confidentiality flags, and fees. Miners complete the inference and return proofs, which validators incorporate into blocks to complete settlements.The initial supply of FLOP is approximately 2.48346 billion tokens, all allocated for airdrops, with no VC pre-mining or auctions. The first phase of reward distribution allocates 75% to miners, 10% to validators, 10% to agents, and 5% to regular stakers. The average block time for the network is 1 second, with a roadmap goal of sub-second block times. The initial block reward is 96 FLOP, halving every 730 days, for a total of five halvings, after which it will permanently remain at 3 FLOP.The maximum number of validators is capped at 1,000, with approximately 50 rotating monthly based on verified workload and online rates. Miners and validators must stake FLOP, and malicious behavior may face penalties of up to full forfeiture and bans. Governance is conducted through FLOP improvement proposals, requiring a two-thirds approval from active validators in most cases.
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