Odaily Planet Daily reported that according to official news, the second week Meet Your Anima event of Palio, the AI companion project launched by blockchain game publisher Xterio, has been launched, and Xterio ecosystem airdrops can be obtained by earning PALIO POINT.

Odaily Planet Daily News Xterio, a blockchain game publisher, announced on X platform that their AI companion project Palio has launched the "Meet Your Anima" activity, where participants can earn PALIO POINT and receive Xterio ecosystem airdrops.

PANews news on January 18, Non-fungible Token chain game Apeiron announced the launch of the incentive Token ANIMA Airdrop, users can earn Airdrop points by completing certain tasks in the game, interacting with the game's social media, minting and owning Non-fungible Tokens, and the team also released an explanation detailing the various ways to earn points. In addition, Apeiron also announced that S2.R's Apostle minting will end on January 31, and its governance Token APRS' Token Generation Activity (TGE) is scheduled to start in February, and after the TGE event starts Airdrop points will be converted to ANIMA Token for users to claim. PANews previously reported that Apeiron closed a $10 million seed round in April 2022, led by South Korean Blockchain investment firm Hashed, with participation from DeFiance Capital, Morningstar Ventures, SpartanGroup and De-FiCapital.

According to the IT House on October 23, NVIDIA recently announced an AI system called Eureka, which is based on OpenAI's GPT-4 and can allow robots to perform more than 30 complex actions such as "turning the pen", "opening drawers", "holding scissors", "passing the ball with both hands" and so on. It is reported that NVIDIA Research Institute led the development of Eureka, an AI system that allows developers to cooperate with NVIDIA's own physics simulation software Isaac Gym for reinforcement learning (reference learning). Anima Anandkumar, senior director of NVIDIA's AI research department, believes that although "reinforcement learning" has made progress in the past 10 years, there are still many challenges, such as "reward design", which is still in the "trial and error" stage. At present, Nvidia announced Eureka, which is designed to perform difficult tasks, combined with generative AI and reinforcement learning algorithms, for the first attempt. Eureka is able to take over 80% of human experts, increasing the average robot training efficiency by more than 50%.