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DeepSeek is currently making waves in the tech stock market, with the FET team expressing confidence in its potential to perform well with a low budget. While DeepSeek may not yet outperform existing models like ChatGPT, its offerings are commendable for a startup valued at $6 million. This indicates that the FET team could also produce a tangible product.
FET Coin News
Just a few hours ago, the FET Coin team announced the ASI-1 Mini. This initial Web3-based large language model (LLM) aims to work specifically with complex workflows, offering a cost advantage due to its low hardware requirements compared to leading LLMs. Remember, DeepSeek also designed its open-source LLM to operate on average computers.
Web3 integration is the key aspect here, enabling users to autonomously interact with AI. This model, designed to work in conjunction with FetchAI’s FET Coin, may not cause immediate fluctuations in altcoin prices but can motivate users to anticipate tangible products in the long run.
ASI-1 Mini
We are discussing a three-layered system. The ASI-1 Mini consists of a Base Layer, an Expertise Layer (MoM Marketplace), and an Action Layer comprising agents. This tri-layered structure aims to generate benefits for solving complex tasks.
“ASI-1 Mini will have the capacity to work with larger datasets, enabling deeper data analyses. It aims to reduce the ‘black-box’ problem, providing more transparent results. The model will make decision-making processes explicable through continuous multi-step reasoning.
ASI-1 Mini allows users in the Web3 ecosystem to invest in AI models, participate in training, and own these models. This decentralized approach contributes to the development of AI technologies through community-based input, enhancing adaptive decision-making and the capacity to handle a wider variety of data types.” – Fetch Announcement
As more details and experiences related to the product are shared, the impact on token prices may become noticeable. The community tends to show initial positive bias towards newly released models. For example, recent discussions suggested that the new Grok version performed better than GPT, but once that seasonal excitement fades, GPT continues to maintain its position as the most widely used model.
