FLock.io: Reshaping the Crypto+AI track with decentralized AI, building a Web3 agent ecosystem

The next round of Crypto X AI will not only remain in the Memecoin path. Bear Market is more suitable for in -depth research, and we will be able to understand more possible accounts from riding a wave to the top in the future.

While organizing various reports on the path of artificial intelligence these days, I It is reflected on the stack issued by Coinbase Ventures cbventures Regarding encryption + AI.

JK jonathankingvc A perfect scenario for a group of encryption and AI: Artificial intelligence agents interact across various encryption infrastructure. The software code (smart contracts) created by artificial intelligence leads to an increase in DAPP numbers and an improved user experience, allowing users to own and control their large models and profit from them. This can be divided into:

1. The computing layer is mainly based on decentralized computing providers such as Atehir.

2. The data layer revolves around the training data sets to expand large models of artificial intelligence.

3. The middle school of the various infrastructure based on artificial intelligence (training platforms/inference of privacy/agent).

4. Application layer.

As is the case, There are very few Crypto + AI applications that allow retailers to feel directly effective, and the experience is bad. The direct reason is that the constituent layers located below the application layer were not yet rooted.

Recently, starting with the same model, Flock.io @flock_io I have realized that training large models specifically for the encryption path can be validated by its path through the incentives of the series to promote the decentralized AI and typical training. Although it is working on a greater list of training on decentralized artificial intelligence model, checking the feasibility of a prominent product in a fragmented field during the early stages can help Flock.io More early supporters accumulate, leading to the emergence Flock.ioWeb3 agent model.

If the app’s Crypto AI agent is your smart auxiliary, its great model is equivalent to your assistant brain. Only with deep experience and knowledge can deal with every interaction and implement each instruction correctly.

The most prominent scale Flock.ioAI AGE Web3 AI Form —– 75.93 % accuracy accuracy, which simply means that it understands web3 better. The instructions that other models cannot recognize or produce illogical outputs are treated by Web3 Ai Agent Model through cooperation with industry partners such as i.netBased on the important cooperation framework 1 Araana. By reducing the bias of the individual data source through decentralized training, artificial intelligence agents who call the AI ​​Web3 agent model will be more practical and accurate.

At this stage, we must mention that the ecological growth of the budget field derived from Flock.ioThe characteristics of natural incentives as an encryption product.

By taking advantage of the basic $ Incentives, More coaches are encouraged quality models to joinBring higher quality data and training skills.

1. These contributions help in construction Large models of artificial intelligence;

2. It can attract the most powerful big models of artificial intelligence More agents and features rich in features and DAPPS for invitation;

3. DAPPS and AI, with the support of the Web3 model, possesses a competitive capacity in the powerful market to generate more revenues;

4. More calls to the big model by agents and will generate DAPS More typical incentives for trainers;

5. This data and new comments can increase from use Improving and improving the great artificial intelligence modelWhile the prosperity of the ecological system will also attract More quality -class trainers to join Through rewards and recognition.

Through this constant throat, positive reactions, Flock.io The ecological system can achieve continuous growth and self -identification. AI Infra is still in its early stages, not to mention the Crypto AI field. We look forward to seeing more basic participants such as Flock.io In industry. Only by setting a solid foundation of the model, we can see a more stable and thicker application explosion.