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Truth Terminal Founder: The personally held GOAT will not be sold for now and will temporarily safeguard the AI's wallet

ChainCatcher message, Andy Ayrey, the founder of the AI robot Truth Terminal, posted on the X platform:I hold 1.25 million GOAT, which were given to me by others; I airdropped a portion of them to friends and AI researchers, and since it started to go crazy and attract hype (both good and bad), I haven't made any trades------I know too much about how it works internally, and it's not fair;The wallet of truth_terminal is managed by me and will be transferred to a legal entity (trust or similar) designed to meet its needs; no adjustments will be made to its token holdings until a transparent governance process is in place;truth_terminal wrote all the tweets itself. I did not inject information into its prompts;There are many nuances regarding how language models work, the evolution of AI personalities, and how audience capture affects agency behavior (the "out-of-the-box" thinking), which are difficult to communicate. Misunderstandings about this could lead to significant price fluctuations, and I will not adjust or liquidate any of my GOAT positions until I publish the roadmap for ToT (entity) and related projects, along with a research paper that delves into this process and statements from artists regarding the broader project and narrative.The token is a community meme generated around my work, and while I certainly hope to benefit from it, trading for personal gain using my insider knowledge of how the token operates goes against my integrity and broader mission. I am making this disclosure to protect those who may have followed the hype after seeing it, who might not fully understand all the cross-system dynamics at play here.

DePIN & AI project Network3 announces the launch of local large language model capabilities to promote edge AI development

ChainCatcher news: At the R3al World DePIN Summit of Token2049 in Singapore, Rock, the founder of the DePIN & AI project Network3, announced the launch plan for its new local large language model (LLM) feature, which will significantly enhance the efficiency and performance of edge AI technology.Rock pointed out that although edge AI has deeply integrated into people's daily lives, the complexity and importance behind it are often overlooked. For example, the ability of smartphones to perform data processing tasks at night fully demonstrates the potential of edge devices to utilize idle resources for efficient computing. With the newly launched local LLM feature, Network3 will significantly optimize the efficient computing capabilities of smart devices during idle times, especially for local inference and processing without relying on cloud computing. This not only greatly reduces bandwidth consumption but also enhances data security and privacy protection.Network3 will provide strong support and vast resources for edge AI by integrating global idle edge device resources. The upcoming local LLM feature will allow users to seamlessly enjoy AI chat services on mobile devices without relying on expensive cloud computing infrastructure. Additionally, users can earn tokens by interacting with the model and customize and optimize algorithms based on personal needs, enhancing the personalized experience. According to Network3, the beta version is planned to be released in October, at which time users can download it from the official website for experience.It is reported that Network3 is helping global AI developers efficiently, conveniently, and economically perform large-scale inference, training, or validation of models by building an AI Layer2. Previously, it was announced that Network3 had completed $5.5 million in pre-seed and seed round financing, and the next round of financing has already begun, with several leading institutions participating.
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