CoinInsight360.com logo CoinInsight360.com logo
America's Social Casino

crypto.news 2025-02-25 16:29:31

Fetch.ai unveils first web3 LLM for agentic AI

Fetch.ai says ASI-1 Mini will open up artificial intelligence and web3-native large language model architecture to the community. According to the Delaware-based artificial intelligence company, which is a founding member of the Artificial Superintelligence Alliance, ASI-1 Mini offers users the opportunity to build and optimize agentic workflows. The Artificial Superintelligence Alliance ( FET ) token will power this web3 LLM ecosystem, with ASI-1 Mini also leveraging ASI wallet integration. As part of its mission to improve artificial intelligence, blockchain, and cryptocurrency integration, ASI-1 Mini democratizes both access to artificial intelligence models and opportunities in investing, training, and decentralized ownership. You might also like: Exclusive: Aurora launches instant blockchain deployment via Cloud Console In recent months, the broader industry has seen significant growth at the intersection of artificial intelligence and cryptocurrency. One area driving this expansion is the surging interest in agentic artificial intelligence. “ASI-1 Mini is just the start,” said Humayun Sheikh, chief executive officer of Fetch.ai and chairman of the ASI Alliance. “Over the coming days, we will be rolling out advanced agentic tool-calling, expanded multi-modal capabilities, and deeper Web3 integrations. With these enhancements, ASI-1 Mini will drive agentic automation while ensuring that AI’s value creation remains in the hands of those who fuel its growth,” he added. ASI-1’s unveiling introduces capabilities such as real-time execution and adaptability in agentic workflows. The feature allowing for scalable deployment on smaller hardware reduces computational overhead, while transparent outputs help address the black-box problem. By black-box problem, Fetch.ai refers to cases where an artificial intelligence system generates outputs without explaining how it reached a conclusion. For example, a healthcare artificial intelligence model might outline the risks associated with an ailment but fail to explain how it arrived at that assessment. According to Fetch.ai, ASI-1’s design helps address the black-box problem through a multi-step reasoning feature that enables real-time corrections. While opacity remains an industry challenge, the platform enhances transparency, intelligent collaboration, and clearer insights. You might also like: Changpeng Zhao takes advisory role at AI blockchain startup Vana

면책 조항 읽기 : 본 웹 사이트, 하이퍼 링크 사이트, 관련 응용 프로그램, 포럼, 블로그, 소셜 미디어 계정 및 기타 플랫폼 (이하 "사이트")에 제공된 모든 콘텐츠는 제 3 자 출처에서 구입 한 일반적인 정보 용입니다. 우리는 정확성과 업데이트 성을 포함하여 우리의 콘텐츠와 관련하여 어떠한 종류의 보증도하지 않습니다. 우리가 제공하는 컨텐츠의 어떤 부분도 금융 조언, 법률 자문 또는 기타 용도에 대한 귀하의 특정 신뢰를위한 다른 형태의 조언을 구성하지 않습니다. 당사 콘텐츠의 사용 또는 의존은 전적으로 귀하의 책임과 재량에 달려 있습니다. 당신은 그들에게 의존하기 전에 우리 자신의 연구를 수행하고, 검토하고, 분석하고, 검증해야합니다. 거래는 큰 손실로 이어질 수있는 매우 위험한 활동이므로 결정을 내리기 전에 재무 고문에게 문의하십시오. 본 사이트의 어떠한 콘텐츠도 모집 또는 제공을 목적으로하지 않습니다.