You're right, @MrMeudiz , AI is an explosive sector, and some AI-related cryptos like FET (Fetch.AI) have already shown huge potential.
We are still far from reaching the full potential of AI, and advances will likely continue to attract huge amounts of capital. FET and other AI-related cryptos could benefit from this in the long run, especially if they are integrated into real-world projects.
TAO (Bittensor) has a particularity which partly explains its high value relative to its capitalization: its low circulating supply.
Unlike other cryptos with billions of tokens, TAO has a relatively limited supply, which mechanically pushes its unit price higher.
Additionally, TAO is based on a unique model of decentralized infrastructure for AI, which attracts many forward-thinking investors. It is a bit like the “Bitcoin of AI” for some, as it aims to become an open network where AI models train and exchange knowledge in a decentralized manner. This scarcity and perceived utility partly justify its high price.
FET focuses on the autonomy of intelligent agents to automate tasks and optimize complex systems, while TAO seeks to create a decentralized infrastructure where different AIs can collaborate and improve each other.
If decentralized AI really takes off, these two projects could thrive together, with FET facilitating autonomous interactions and TAO providing a basis for sharing and collaboratively training AI models. 👍
Diversification helps reduce risk while taking advantage of multiple opportunities.
Here are some other cryptos that have similarities with FET and TAO in AI and decentralized blockchain:
1. AGIX (SingularityNET) – Decentralized AI platform where developers can create, share and monetize AI models. It is a historic player in the sector.
2. OCEAN (Ocean Protocol) – Focused on sharing and monetizing data to train AI models.
3. VAI (Velas AI) – Combines AI and blockchain to optimize network performance.
4. NRGY (Neurai) – Emerging project aiming to integrate AI into industrial applications via blockchain.
If decentralized AI takes off, these projects could play a key role.
5. QUBIC
Qubic is an ambitious project that aims to extend the capabilities of the IOTA network by introducing smart contracts, oracles, and external computations. The name "Qubic" comes from the English acronym QBC, meaning "Quorum-Based Computations". This initiative aims to transform IOTA into a platform capable of handling complex smart contracts and distributed computations, while maintaining a zero-transaction-fee approach.
The team behind Qubic is led by Sergey Ivancheglo, co-founder of IOTA and pioneer in the development of protocols such as NXT and IOTA. His expertise brings an innovative vision to the project, with a focus on speed, security, and efficiency of transactions and smart contract execution.
As for Qubic’s potential, its integration with IOTA and the addition of advanced features could strengthen its position in the cryptocurrency ecosystem. However, as with any project in development, it is essential to closely monitor its progress and assess its ability to deliver on its promises.
In addition to the previously mentioned cryptocurrencies, other projects combining blockchain and artificial intelligence deserve attention:
6. Numerai (NMR): A decentralized hedge fund platform that uses AI and machine learning to manage investment portfolios.
7. DeepBrain Chain (DBC): A decentralized computing network designed for training AI models, providing computing power at lower costs.
8. Cortex (CTXC): A platform that enables the execution of AI models on the blockchain, facilitating the integration of AI into smart contracts.
These projects illustrate the growing convergence between artificial intelligence and blockchain technology, each providing unique solutions to current challenges.