Key Points
- Fetch.ai (FET) surged by 31% today.
- SingularityNET, FetchAI, and Ocean Protocol recently announced July 15 as the date for the ASI token merger.
Fetch.ai (FET) surged by 31% today. At the moment of writing this article, FET’s market cap is almost $1.4 billion.
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In a post on X, the team at Fetch.ai revealed that The Artificial Superintelligence Alliance Launch event is on its way to celebrate the ASI Token merger.
The team wrote that the event will celebrate the formation of the ASI token, and they will be holding an event on June 29, in Antalya, Turkey. The teams will meet there to discuss the future of decentralized AI.
Also, on June 18, the team behind Fetch.ai revealed in a post on X that they support Outlier Ventures with their AI x Crypto Base Camp program.
Recently, the ASI Alliance announced a delay in the ASI token merger of FET, AGIX, and OCEAN.
In an official message via X, the team noted that the Alliance is dedicated to the successful and seamless integration of the anticipated token merger.
According to the announcement, SingularityNET, FetchAI, and Ocean Protocol have announced a revised date for the ASI token merger. They moved the date from June 13 to July 15, 2024.
Once third-party integrations are finalized, the ASI token will be launched and the three tokens will cease to trade independently and merge into ASI.
In other AI-related news, Michael Dell, the CEO and Chairman of Dell Technologies, said that the company is teaming up with Nvidia GPUs to build an AI Factory to power Grok, xAI chatbot.
What is Fetch.ai (FET)?
Fetch.ai was founded back in 2017 and launched via an IEO on Binance in March 2019.
This is an AI lab that’s building an open, permissionless, decentralized machine learning network with a crypto economy.
According to their official notes, Fetch.ai democratizes access to AI tech with a permissionless network that anyone can connect and access secure datasets by using autonomous AI to execute tasks that leverage the global network of data.
They also note that the Fetch.AI model is rooted in use cases like optimizing DeFi trading services, transportation networks (parking, micromobility), smart energy grids, travel, and any complex digital system that relies on large-scale datasets.