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Coinbase CEO refutes the argument that crypto enthusiasts should turn to AI, stating that cryptocurrency is an indispensable universal infrastructure

Coinbase CEO Brian Armstrong tweeted in response to the viewpoint "If you're in the cryptocurrency space, turn to AI," stating that this is a flawed way of thinking and a zero-sum game mentality. Brian Armstrong emphasized that cryptocurrency is a universal technology, an infrastructure, just like electricity or the internet. It does not compete with the next hot technology because it supports the latter. It is "both-and," not "either-or." Artificial intelligence, as a major trend, does not diminish the importance of cryptocurrency. On the contrary, it makes cryptocurrency even more important.AI agents require their own financial infrastructure, and ultimately their daily trading volume will far exceed the total of all human trading volumes. They cannot open bank accounts, cannot wait three days to receive remittances, and they cannot reside in just one country. They need real-time programmable money (which is exactly what cryptocurrency is). Agents need to hold funds and make payments themselves. Coinbase was the first to launch the x402 protocol, Base, and USDC, which now support the vast majority of payments for agents. Agents will also participate in trading and act as financial advisors. They will raise or borrow funds for ongoing new projects. They will also save users from the tedious tasks of tax planning, portfolio rebalancing, and bill payments.

Kalshi: The prediction market outperforms Wall Street consensus expectations in inflation forecasts

According to CoinDesk, a study by the prediction market platform Kalshi found that prediction markets outperform Wall Street consensus expectations in inflation forecasting. Over a data span of 25 months, their average error was 40% lower than the consensus forecast.The study pointed out that the advantage of prediction markets lies in their aggregation of diverse information from numerous traders based on economic incentives, creating a "wisdom of the crowd" effect that allows for a more responsive reaction to changing environments. These findings suggest that market-based predictions can serve as a valuable supplementary tool for institutional decision-makers, especially during periods of high uncertainty.Kalshi found that by comparing inflation forecasts on its platform with Wall Street consensus expectations, market-based traders had higher accuracy in predictions than traditional economists and analysts during the 25-month observation period, with this advantage being particularly pronounced during economic fluctuations.Specifically, the study found that from February 2023 to mid-2025, the prediction market's estimates of year-over-year changes in the Consumer Price Index (CPI) had an average error 40% lower than the consensus forecast. When actual data deviated significantly from expectations, the advantages of prediction markets became even more pronounced, with accuracy exceeding consensus expectations by as much as 67%.
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