Solana Foundation: Three strategic directions integrating AI and encryption technology

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Original author: Kuleen, DePIN leader of Solana Foundation Please provide the text to be translated. Compiled by: Yuliya, PANews Please provide the text to be translated. Currently, the intersection of AI and encryption technology is entering a “Cambrian explosion”-style experimental stage. This article details three key development directions for the fusion of AI and encryption by the Solana Foundation. Please provide the text to be translated. TLDR Please provide the text to be translated. Build the most vibrant smart contract driven economy on Solana Please provide the text to be translated. Truth Terminal has proven the feasibility of AI agents operating on-chain. Experiments in this field are continuously pushing the boundaries of on-chain agent operations, which not only has tremendous potential but also offers a vast design space. Currently, this has become one of the most groundbreaking and explosive directions in the crypto and AI fields, and this is just the beginning. Please provide the text to be translated. 2. Improve the ability of LLM in Solana code development Please provide the text to be translated. The large language model has performed well in code writing and is expected to further improve in the future. With these capabilities, Solana developers’ efficiency is expected to increase by 2-10 times. In the near future, establishing high-quality benchmarks to evaluate the ability of LLMs to understand and write Solana code will help understand the potential impact of LLMs on the Solana ecosystem. High-quality model fine-tuning schemes will be validated in benchmark tests. Please provide the text to be translated. 3. Support open and decentralized AI technology stack Please provide the text to be translated. “Open and decentralized AI technology stack” includes the following key elements: Please provide the text to be translated. Training Data Acquisition Please provide the text to be translated. Training and inference computing capability Please provide the text to be translated. Model weight sharing Please provide the text to be translated. Model output verification capability Please provide the text to be translated. The importance of this open AI technology stack is reflected in: Please provide the text to be translated. Accelerate model development innovation and experimentation Please provide the text to be translated. Provide alternative solutions for users who do not trust centralized AI. Please provide the text to be translated.

  1. Build the most vibrant economy driven by intelligent agents Please provide the text to be translated. There has been a lot of discussion about Truth Terminal and $GOAT, so there is no need to repeat it here. But one thing is certain, when AI agents start to participate in on-chain activities, a new world full of possibilities has already unfolded (it is worth noting that the agents have not even taken direct actions on-chain at the moment). Please provide the text to be translated. Although it is still impossible to accurately predict the future development of agents’ behavior on the chain, we can glimpse the broad prospects of this design space through the innovations that have already occurred on Solana. Please provide the text to be translated. Projects like Truth Terminal are developing new digital communities through meme coins like $GOAT. Please provide the text to be translated. Platforms such as Holoworld AI, vvaifu.fun, Top Hat AI, Alethea AI, etc., allow users to easily create and deploy intelligent agents and their related tokens. Please provide the text to be translated. AI fund managers trained based on the characteristics of well-known crypto investors are emerging. On the daos.fun platform, the rapid rise of ai16z has created a new ecosystem for AI funds and supporters. Please provide the text to be translated. In addition, game platforms like Colony allow players to participate in the game by guiding agent actions, often leading to unexpected innovative gameplay. Please provide the text to be translated. Future Development Direction Please provide the text to be translated. In the future, intelligent agents can manage complex projects that require multi-party economic coordination. For example, in the field of scientific research, agents can be responsible for finding therapeutic compounds for specific diseases. Specifically: Please provide the text to be translated. Raise funds through the Pump Science platform for tokens Please provide the text to be translated. Using raised funds to pay for access to paid research materials, and the computational costs for compound simulation are carried out on decentralized computing networks such as kuzco, Render Network, and io.net. Please provide the text to be translated. Recruit human subjects to carry out experimental verification work (e.g., running experiments to verify/establish simulated results) through bounty platforms such as Gib.Work. Please provide the text to be translated. In addition to complex projects, agents can also perform simple tasks such as building personal websites and creating artworks (such as zerebro), with unlimited possibilities for application scenarios. Please provide the text to be translated. Why is it more meaningful for agents to conduct financial activities on the chain than using traditional channels? Please provide the text to be translated. Agents can fully utilize traditional financial channels and cryptocurrency systems at the same time. However, cryptocurrencies have unique advantages in certain areas: Please provide the text to be translated. Solana, a small payment application, has performed well in this area, as demonstrated by applications such as Drip. Please provide the text to be translated. Speed Advantage - Instant settlement function, which helps agents achieve maximum capital efficiency Please provide the text to be translated. Entering the capital market through DeFi - this may be the most powerful reason for agents to participate in the cryptocurrency economy beyond payments. The advantages of cryptocurrency are even more obvious when agents need to engage in financial activities other than payments. Agents can seamlessly create assets, trade, invest, manage finances, engage in borrowing and lending operations, and use leverage, etc. In particular, Solana, due to its numerous top-notch DeFi infrastructure on the mainnet, is particularly suitable to support these capital market activities. Please provide the text to be translated. From the perspective of technological development laws, path dependence plays a critical role. It is not the most important whether the product is optimal, but rather who can first reach the critical scale and become the default choice. As more and more agents profit from cryptocurrencies, cryptographic connectivity is likely to become a core capability for agents. Please provide the text to be translated. The foundation hopes to see Please provide the text to be translated. The Solana Foundation hopes to see delegates equipped with encrypted wallets to conduct bold innovation experiments on the chain. The foundation does not limit specific directions too much, because the possibilities are too wide-ranging - the most interesting and valuable delegate application scenarios are likely to be unforeseeable now. Please provide the text to be translated. However, the foundation is particularly focused on exploring the following directions: Please provide the text to be translated.
  2. Risk Control Mechanism Please provide the text to be translated. Despite the current model’s excellent performance, it is still far from perfect. Please provide the text to be translated. Cannot give the agent complete unrestricted freedom of action Please provide the text to be translated.
  3. Promote non-speculative use cases Please provide the text to be translated. Purchase tickets through xpticket Please provide the text to be translated. Optimize stablecoin investment portfolio returns Please provide the text to be translated. Order food on DoorDash Please provide the text to be translated.
  4. Development progress requirements Please provide the text to be translated. At least to reach the prototype stage of the test network Please provide the text to be translated. It is best to have been running on the mainnet. Please provide the text to be translated.
  5. Enhance the ability to write Solana code for LLMs, empower Solana developers Please provide the text to be translated. LLMs have demonstrated strong capabilities and are progressing rapidly. In the application domain of LLM, the field of coding may experience a particularly steep learning curve, as it is a task that can be objectively evaluated. As described below, "programming has unique advantages: the potential for superhuman data expansion through ‘self-play’. Models can write and execute code, or write code, write tests, and then check for self-consistency. Please provide the text to be translated. Now, although LLMs are still not perfect in writing code, with obvious shortcomings (such as poor performance in bug discovery), AI-native code editors like Github Copilot and Cursor have fundamentally changed software development (and even changed the way companies recruit talent). Considering the expected rapid rate of progress, these models are likely to completely change software development. The foundation hopes to use this progress to increase the efficiency of Solana developers by an order of magnitude. Please provide the text to be translated. However, there are currently several challenges that hinder LLMs from achieving excellence in understanding Solana: Please provide the text to be translated. Lack of high-quality original training data Please provide the text to be translated. Insufficient number of Verified builds Please provide the text to be translated. Platforms like Stack Overflow lack high-value interactive content. Please provide the text to be translated. In history, the Solana infrastructure has developed rapidly, which means that even the code written 6 months ago may not be completely suitable for today’s needs. Please provide the text to be translated. Lack of evaluation model for understanding the degree of Solana Please provide the text to be translated. The foundation hopes to see Please provide the text to be translated. Help get better Solana data on the Internet Please provide the text to be translated. More teams release Verified builds Please provide the text to be translated. More people in the ecosystem are actively asking good questions and providing high-quality answers on Stack Exchange Please provide the text to be translated. Create high-quality benchmarks to evaluate LLMs’ understanding of Solana (RFP coming soon) Please provide the text to be translated. Create a fine-tuned LLM model that performs well in the above benchmark tests, and more importantly, accelerate the efficiency of Solana developers. Once a high-quality benchmark test is available, the foundation may provide rewards for the first model that reaches the benchmark threshold score. Please provide the text to be translated. The ultimate achievement will be a completely new, high-quality, differentiated Solana validation node client created entirely by AI. Please provide the text to be translated.
  6. Support open and decentralized AI technology stack Please provide the text to be translated. In the field of AI, the long-term balance of power between open source and closed source models is still unclear. There are indeed some arguments supporting closed-source entities to continue to maintain the technological edge and obtain the primary value of basic models. The simplest expectation for now is to maintain the status quo—tech giants like OpenAI and Anthropic driving cutting-edge development, while open-source models quickly catch up and gain unique advantages through fine-tuning in specific application scenarios. Please provide the text to be translated. The foundation is committed to closely integrating Solana with the open source AI ecosystem. Specifically, this means supporting access to the following elements: Please provide the text to be translated. Training data Please provide the text to be translated. Training and inference computing power Please provide the text to be translated. Model Weight Please provide the text to be translated. Model output verification capability Please provide the text to be translated. The importance of this strategy is reflected in: Please provide the text to be translated.
  7. Open source model accelerates innovation iteration Please provide the text to be translated. The rapid improvement and fine-tuning of open source models such as Llama by the open source community demonstrates how the community effectively complements the work of large AI companies and pushes the boundaries of AI capabilities (even a Google researcher pointed out last year that “we have no moat in open source, and neither does OpenAI”). The Foundation believes that a thriving open source AI technology stack is crucial to accelerating progress in this field. Please provide the text to be translated.
  8. Provide options for users who do not trust centralized AI Please provide the text to be translated. AI may be the most powerful tool in the arsenal of authoritarian or autocratic regimes. State-approved models provide an officially endorsed “truth” and serve as an important means of control. Highly authoritarian regimes may have superior models because they are willing to disregard citizen privacy to train AI. The use of AI for control is an inevitable trend, and the Foundation hopes to be prepared and fully support the open-source AI technology stack. Please provide the text to be translated. Several projects in the Solana ecosystem are already supporting the open AI technology stack: Please provide the text to be translated. Data collection - Grass and Synesis One are advancing data collection. Please provide the text to be translated. Decentralized computing power - kuzco, Render Network, io.net, Bless Network, Nosana, etc. Please provide the text to be translated. Decentralized training framework - Nous Research, Prime Intellect Please provide the text to be translated. The foundation looks forward to seeing Please provide the text to be translated. I hope to build more products at all levels of the open source AI technology stack. Please provide the text to be translated. Decentralized data collection: e.g. Grass, Datahive, Synesis One Please provide the text to be translated. On-chain identity: a protocol that supports wallet verification of human identity, verification of AI API responses, enabling users to confirm that they are interacting with LLM Please provide the text to be translated. Decentralized training: projects similar to EXO Labs, Nous Research, and Prime Intellect Please provide the text to be translated. IP Infrastructure: Enables AI to license (and pay for) the content it uses.
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