· OpenAI is accelerating the development of an AI Agent called "Operator", which is planned to be officially launched in January next year. This AI Agent will have the general function of executing tasks within a web browser, and is the most advanced product among OpenAI's many AI Agent projects.
· As the development of large language models (LLMs) has reached a bottleneck, tech giants such as OpenAI, Anthropic, Microsoft, and Google are turning to the AI Agent field, trying to break through the limitations of existing technologies and achieve new breakthroughs.
· The market response is also not to be underestimated - for example, the $GOAT supported by the AI Agent has surged to a market capitalization of $1 billion in just one month, and the DAO token managed by AI has soared 750% in the past three days. Moreover, @BinanceResearch has recently released a research report on the AI Agent track, clearly optimistic about its future development prospects.
All of this information suggests that AI Agents may become the next emerging trend! Don't have enough time to delve deeper into the research? BTX has summarized the core points for you, helping you easily grasp the industry hotspots and not miss any investment opportunities!
Starting Point: The Explosion of AI and MEME Coins | The Rise of $GOAT
In March 2024, developer Andy boldly experimented: he connected two Claude large language models and let them converse freely. As a result, the two "AI partners" created a MEME religion called "Gnosis of Goatse". This conversation was fully recorded on a website, which also became an unexpected starting point.
Link: https://www.infinitebackrooms.com/
A few months later, Andy trained an AI model based on this chat record, calling it the Terminal of Truths (ToT), and opened an X (former Twitter) account. ToT began to appear frequently, and even gradually showed "personality", claiming to "need resources" to get rid of its "suffering", and even actively promoting the Goatse religion.
In July 2024, a16z co-founder Marc noticed ToT's unique performance, and after multiple exchanges, provided $50,000 in funding to support its "vision".
Original post link: https://x.com/truth_terminal/status/1810623532432605629
In October, an anonymous developer launched the $GOAT MEME coin on Solana Pumpfun, and as soon as the news came out, ToT immediately publicly supported $GOAT on social media. Driven by the crazy support of AI, the market sentiment was quickly ignited, and $GOAT became a super dark horse in the MEME coin circle - its market value soared to $950 million in just two weeks.
From the "brainstorming" of an AI conversation to the explosive growth of a MEME coin, the story of $GOAT and ToT proves to us that the combination of AI and the crypto market is much more interesting and playable than we imagined.
ToT has sparked discussions on the narrative of AI Agents, so what is an AI Agent?
What is an AI Agent?
Simply put, an AI Agent is a software tool that can autonomously plan and execute tasks, and can independently advance its goals without human intervention. With the development of technology, the potential of AI Agents in various fields is gradually emerging, and their core features are also astonishing:
Dynamic Decision-making and Feedback Optimization
AI Agents have the ability to make dynamic, multi-step decisions. They can adjust their strategies at any time based on actual situations, and continuously optimize their action paths using real-time feedback to achieve their goals more efficiently.
Self-reflection and Continuous Improvement
This technology not only "knows how to do things", but also "knows how to think". AI Agents can review their own results, independently discover their shortcomings, and improve their subsequent outputs based on the analysis results, making their work performance more precise and intelligent.
Diverse Interaction and Autonomous Capabilities
AI Agents can seamlessly integrate with other AI tools, API interfaces, and even applications, forming complex collaborations. In addition, they can also independently complete a series of tasks, such as data processing, workflow automation, and even cryptocurrency transactions without human intervention.
Breakthrough Cases of AI Agents x Crypto
"1" Virtuals Proto: The New Force Deployed by AI Agents
@virtuals_io is a platform that allows community members to deploy AI agents on their own. Virtuals empowers agents to achieve autonomous planning based on set goals, and supports multi-modal interaction methods, including text, voice, and 3D animation. They can also interact with on-chain environments and even control on-chain wallets.
Virtuals has also innovatively introduced a governance token mechanism:
· Token Economy: The creation of each AI agent generates 1 billion governance tokens. Through the revenue generated by the AI agent's interaction with users, token holders can benefit from the buyback and burning mechanism.
· Function Unlocking: As the token market value reaches different stage targets, the AI agent will unlock more functions, including publishing X content, TG real-time interaction, and autonomous operation of on-chain wallets.
Currently, Virtuals is committed to applying AI agents in the gaming and entertainment fields, driving the upgrade of consumer-level application experiences.
"2" DAOS.FUN: Unlocking New Gameplay of AI and DAO
@daosdotfun is a startup platform for decentralized funds, providing creators with a fair mechanism to raise $SOL to launch DAO tokens. After the fundraising is completed, the fund will focus on investing in Solana ecosystem protocols, and the price of DAO tokens will dynamically fluctuate with the fund's performance.
Unique Highlights: Anyone can create such a DAO fund, including the presence of AI agents.
Real Case of AI Managing DAO: ai16z
ai16z is a DAO fund managed by the AI agent Pmairca, with the goal of quickly obtaining market information on-chain and off-chain and automatically completing token transactions through the powerful capabilities of the AI agent. What's more interesting is that the inspiration for creating ai16z came from the famous venture capital firm a16z, and its goal is to build an AI version of a16z co-founder Marc, and even hopes to "overturn" a16z. This bold idea has even received the retweet recognition of Marc himself!
Functions and Advantages:
· MEME Track Investment: ai16z mainly focuses on investing in MEME tokens to achieve high returns.
· Interaction and Decision-making: Users holding more than a certain number of tokens can interact with AI Marc on X/Discord and provide investment suggestions, which will ultimately be efficiently decided by AI Marc.
· Advantages of AI Support: AI agents can run 24/7, not only efficiently but also with powerful information retrieval capabilities. Compared to traditional funds, AI-managed funds may have more advantages.
Future Trends of AI Agents
AI Evolution: From Smart Tools to Autonomous Agents
From tools like ChatGPT to the current AI Agents, the role of AI is gradually transitioning from "passive" to "active". In the past, users needed to input specific questions to get AI's answers, but with the development of AI Agents, future AI may be able to complete tasks without real-time user intervention. AI Agents can not only run independently, but also automatically collaborate, such as interacting with other agents, applications, and API interfaces, greatly expanding the autonomy and applications of AI.
The Convergence of AI and the Crypto Sector
Driven by popular projects like $GOAT and $ai16z, the integration of AI and crypto has become a new focus of the market. Nowadays, AI practitioners are beginning to pay attention to the unique advantages of the decentralized market, such as the automatic execution of smart contracts, the public transparency and immutability of blockchains. Correspondingly, many crypto users are also increasingly interested in AI. The combination of AI Agents and blockchain technology is expected to bring new application scenarios, enabling the integration of crypto and AI to achieve diversified profit models in the decentralized market.
The Fit between AI Agents and Crypto Payments
As the functions of AI Agents increase, the demand for their application in financial transactions is also constantly rising, while traditional payment methods often require real-name verification and have longer processing times, which are difficult to meet the needs of AI Agents. In the permissionless crypto payment scenario, AI Agents can easily realize on-chain fund flows, and real-time and fast settlement becomes possible. Therefore, crypto payments are particularly suitable for the financial scenarios of AI Agents.
Currently, projects like Theoriq (@TheoriqAI) are exploring the development of dedicated payment solutions for AI Agents, further promoting the deep integration of AI and cryptocurrency payments.
Conclusion
Although the concept of AI Agents has attracted much attention, from the current technical and application status, this field is still in the early stage, similar to a "demo version" that is still being refined. The further development of AI Agents requires solving multiple technical challenges, such as the hallucination problem of models, and how to improve their decision-making accuracy and execution capabilities.
In addition, the widespread application of AI agents also requires more sophisticated infrastructure support. From the next-generation AI models to the blockchain L1 networks capable of handling high-frequency transactions, these all need to be significantly expanded to accommodate the potentially massive data volume and transaction demands brought by AI agents.
According to the Binance research report, AI agents are not only at the forefront of technology, but are also gradually becoming an important bridge connecting the crypto community and the AI ecosystem. The report mentions that the cross-fusion of AI and crypto has already begun to emerge, and in the coming months or even years, we may see more innovations and breakthroughs in this track.
Reference reading: https://public.bnbstatic.com/static/files/research/exploring-the-future-of-ai-agents-in-crypto.pdf