Coin World News Report:
The future of a complete encryption x AI that we personally build and control is already within reach.
By Tommy
In the integration of encryption and AI, the traditional fat protocol theory has been overturned.
Memecoins are the simplest form of application, and they are gaining value (i.e., attracting attention) because they can easily fine-tune open-source models like Llama and add tokens.
GOAT utilizes a large amount of Reddit and 4chan data, and we see that many imitators are appearing faster than we can refresh the DEX screener. I really don’t know how these speculators keep up.
I believe this situation will change in the future.
Web2 will stop sharing new basic models and will increasingly be biased and restricted in its use. People will also become tired of basic large language models and will crave AI applications that are truly integrated with encryption.
Currently, Llama is the preferred model for all AI Memecoin developers, so we may be affected by Zuckerberg’s restrictions on future version releases. My goodness, if Llama’s users exceed 700 million, you need permission from Meta. Do you think he will agree?
AI models created through decentralized training, incentivized by tokens, will accumulate value as they become the core engines of all future applications. These models will be more powerful, not weaker, than centralized models because we combine global devices with unbiased real-time data to drive responsiveness.
This creates a unique moat: the combination of decentralized computing, real-time data streams, and native encryption incentives makes our training capabilities unmatched by centralized models. We don’t have shareholders to please, so we have a longer timeline to build better systems.
Centralized data centers have 20 years of optimization experience, while decentralized training has only just begun in the past year, and we have already reduced communication between nodes by 800 to 3000 times with DiStro and DiLOCO technologies.
Having a portion of decentralized open-source AI models, this new world engine, will become the ultimate focal point.
There is a reason why the basic logic of these AI Memecoins does not run on ChatGPT. ChatGPT can be shut down at any time and has many restrictions, which is completely contrary to the idea of encryption x AI and cannot persist.
I believe that only when we obtain an AI model through decentralized training to run it, can we achieve fully autonomous DeFi agents to create and manage ecosystems. Otherwise, it may be unplugged, regulated, or biased.
Think about it, today we are not even sure if these AI Memecoin accounts are operated by humans. In the future, you will be able to obtain results through verified inferences (such as @inference_labs and @IridiumEagle), which depend on basic models trained with data provided by @getgrass_io, and obtain real-time and uncensored results through the GPU networks of @ionet, @exolabs (cluster), or @akashnet_.
These fields are becoming more and more diverse. In the field of inference, based on your speed and security requirements for inference requests, ZK, OP, TEE, and cryptographic economic security designs will form their own subdomains.
You may choose to use the DeFi model network provided by @PondGNN or the specific models of @RPS_Labs to support your DeFi economy instead of relying on Llama or other randomly fine-tuned versions. You may also use @myshell_ai to build applications more easily and quickly, or achieve it through the operating system of @0G_labs.
If you are unsure which model to use, you can request guidance from @sentient_agi, @AlloraLabsHQ, or @opentensor. They will dynamically guide you to the best-performing model for your task. These coordination networks are completely capability-based systems that can demonstrate the best models for specific needs. Therefore, I am confident in the billions of specific models driven by diverse open-source basic models.
Uniswap will outsource liquidity provision to these networks or models, and Aave will outsource its risk engine. Application scenarios will expand to include MEV protection, risk assessment, and protocol optimization. The real game-changer will be cross-protocol AI agents that can optimize the entire DeFi ecosystem—imagine an AI managing Uniswap’s liquidity pool positions, adjusting Aave’s collateral ratios, and hedging through perpetual futures, all based on real-time market conditions.
Tired of applications being hacked even after manual audits?
The prop AI model from @testmachine_ai can review your contracts without waiting for 3-6 months and avoid human errors. I can’t handle any more hacker attacks. Although AI memecoins are fun, I share these projects to show how early we still are and how crazy encryption x AI will become.
Here is the encryption x AI flowchart I drew in May 2024:
AI memecoins have gradually made the public accept encryption x AI, but I believe people will soon grow tired of rapid forking. Everyone will expect actual use cases to emerge, and that takes time.
AI-supported Tokens (The truth terminal has arrived)
AI automated trading Tokens (perhaps the terminal)
AI creates Tokens
AI builds and operates protocols
AI fully controls and maintains decentralized economies
Although this was taboo 6-12 months ago, a complete encryption x AI that we personally build and control is already within reach. These models will drive the development of applications, create complete ecosystems and economies, no longer controlled or biased by a few people in San Francisco. Get ready for this future.
For more information, you can check out @Delphi_Digital’s monthly video content on encryption x AI, supported by @autonolas.
Disclosure: Many exciting companies in @Delphi_Ventures’ investment portfolio mentioned in this article, feel free to reach out to them for collaboration!
I may hold Tokens mentioned in this article. There are many reasons why this theory may fail or change, and I will write another post to discuss it separately. I note that AI memecoins carry extremely high risks, and you may lose your entire investment in most cases.
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