ChainCatcher message, according to data from litangdingzhen.me, the number of participants above the threshold for the new Binance Alpha (PUNDIAI) event is 23,750 (at least 237 points), of which 6,191 people have sold the airdrop tokens, with a single order profit of approximately 66 USD.This Alpha airdrop OL totals 190,000 tokens, and the remaining tokens in the Binance wallet are 377,906. The number of tokens per order is 8, and the potential additional tokens are 17 (approximately 140 USD), with a total airdrop value of 1,568,303 USD.

ChainCatcher news, according to the official announcement, Binance Alpha has now launched PUNDI AI (PUNDIAI).Eligible Binance users must hold at least 237 Alpha points to claim an airdrop of 8 PUNDIAI tokens on the Alpha event page starting from June 12, 2025, at 14:00 UTC+8.

ChainCatcher news, according to official news, the PUNDIAI token has officially launched on Upbit, with trading resuming on March 2, 2025, at 10:00 (UTC+8).Previous news, according to the official announcement, Upbit will support the rebranding of Function X (FX) and the token swap, renaming it to Pundi AI (PUNDIAI).

ChainCatcher message, the FX token will officially be renamed to PUNDIAI on February 25, 2025, at 10:00 AM (GMT+8). This upgrade will be conducted automatically or manually based on the blockchain where the token resides. FX on Pundi AIFX Omnilayer (formerly f(x)Core) will be automatically upgraded, including both staked and non-staked tokens.FX on the Base chain and Ethereum network will require a manual upgrade. The upgrade page will be provided later, and users can bridge FX back to Pundi AIFX Omnilayer for automatic upgrading. Centralized exchanges participating in this upgrade will offer automatic upgrades; please pay attention to the exchanges for specific timing.

ChainCatcher message, Pundi AI announced that the token FX will be upgraded to PUNDIAI on February 10, 2025, with a 100:1 token reduction. Users have three years to complete the token upgrade. PUNDIAI token holders can stake on MarginX and Baklava Space.