#BTC资金流动性 Recently, a seasoned industry practitioner shared his latest thoughts, and some of his viewpoints are indeed quite thought-provoking.

His current main focus remains on three areas: one is the charity project Giggle, another is startup incubation (YZi Labs), and additionally the development of the BNB ecosystem. He is also providing strategic consulting in the crypto field for different countries.

Regarding the prediction market, he believes it is still in its early stages. Looking back at the US elections last year, the trading activity on Polymarket was quite impressive. He speculates that next year's World Cup could again become a new hot topic, which would be a great window for prediction platforms to capture market share. But what is the threshold for this track? Team execution capability. Because prediction markets will learn from and borrow ideas from each other in the future, and demand is constantly changing, speed of response and product iteration ability are key.

When discussing AI trading agents, he pointed out an interesting logical loophole: if an AI can truly make stable profits, then why would it still be sold? Because of this paradox, if an AI claims to have super strong earning ability, raising funds should be easy. However, he believes that AI will become widespread among traders in the future, just that each company's algorithm approach may differ.

In terms of stablecoins, he thinks competition is a good thing. Currently, the yields of USDT and USDC are not attractive, and he looks forward to more innovative stablecoin solutions emerging, such as FDUSD, USD1, which can offer different value propositions.

Finally, regarding BNB Chain, he revealed that its data performance this year has been quite impressive, likely making it one of the best-performing public chains in terms of total transaction volume for the year. He also encourages developers to build more on this chain. The movements of mainstream assets like $BTC, $ETH, and $BNB remain the focus of attention.