🔥 gate #TON ecological project voting grand event Gather the power of the community, vote to win #TON、#DOGS Token and other great gifts! 🔍 Which Token community has the most cohesion? - $HMSTR - $DOGS - $CATI - $NOT - $REDO Participate now: https://gate.io/activities/cryptovote/?now_period=8  

🔥 gate #TON ecosystem project voting summit Gathering community strength, vote to win #TON、#DOGS and other great rewards! 🔍 Which Token community has the most cohesion? - $HMSTR - $DOGS - $CATI - $NOT - $REDO Participate now: https://gate.io/activities/cryptovote/?now_period=8 

TON Foundation: 300,000 TON has been airdropped to Dedust and the most active Memecoin traders on the Ston.fi The TON Foundation said on the X platform that it has airdropped 300,000 TON (about $2.19 million) to the most active Memecoin traders on Dedust and Ston.fi. The whitelisted tokens are: FISH, ANON, REDO, MRDN, TONY, ARBUZ, durev, TPET, BTC25, WIF, COFE, CATS, and BOLT, and the airdrop snapshot is April 10th. The Witch wallet address is disqualified.

PANews reported on April 12 that the TON Foundation said on the X platform that it had airdropped 300,000 TON (about $2.19 million) to the most active Memecoin traders on Dedust and Ston.fi. The whitelisted tokens are: FISH, ANON, REDO, MRDN, TONY, ARBUZ, durev, TPET, BTC25, WIF, COFE, CATS, and BOLT, and the airdrop snapshot is April 10th. The Witch wallet address is disqualified.

The TON Foundation announced that it has airdropped 300,000 TON (about $2.19 million) to the most active meme coin traders on Dedust and/or Ston.fi. The airdrop snapshot date is from March 4th to April 10th, the Witch Wallet address is disqualified, and the whitelisted tokens include: FISH, ANON, REDO, MRDN, TONY, ARBUZ, durev, TPET, BTC25, WIF, COFE, CATS, and BOLT.

According to a report by the Science and Technology Innovation Board Daily on January 22, GPT-BI, a large-scale model application created by China FAW and Alibaba Cloud Tongyi Qianwen, has landed. It is reported that this is not only the first large-scale model landing case of China FAW, but also the first large-scale model BI application in the automotive industry. The app can receive natural language queries and automatically generate analytic charts based on enterprise data, which is now nearly 90% accurate. Men Xin, vice president of the FAW Hongqi Brand Operation Committee, said, "The large model is the cornerstone of the future production relationship, and we want to redo all the businesses of the FAW Group with the GPT large model." ”