Decentralization plays a crucial role in the field of AI, as it can prevent monopolies and abuse.
Author: Teng Yan - Championing Crypto AI
Compiled by: Deep Tide TechFlow
Most AI practitioners simply view Crypto AI Agents as Twitter bots with accompanying tokens. Even aixbt, the star project in this field, with a market cap of 800 million dollars, is just a better-packaged Alpha hunting bot (Alpha refers to excess returns in the financial field).
@naval: "The intersection of crypto and AI seems to be those promoting their own tokens."
However, Naval's perspective is clearly too limited to the current situation. He underestimates the possibilities of the future. Decentralization plays a crucial role in the field of AI, as it can prevent monopolies and abuse.
Isn't this the very reason we ventured into this field?
Last week, @virtuals_io announced a significant ecosystem update, launching a 40 million dollar token buyback program, funded by its bond trading revenue.
Since October 2024, Virtual has accumulated 12,990,427.85 VIRTUAL tokens, which will be used to buy back and destroy the top agent tokens in its ecosystem.
The buyback program is allocated based on the trading activity of each token, with a focus on rewarding those projects that contribute the most to Virtual's ecosystem trading volume.
Here is the allocation for the top five tokens:
GAME: ~1.6 million VIRTUAL (approximately 5.6 million dollars)
CONVO: ~1.1 million VIRTUAL (approximately 3.8 million dollars)
AIXBT: ~881,000 VIRTUAL (approximately 3 million dollars)
SEKOIA: ~712,000 VIRTUAL (approximately 2.5 million dollars)
MISATO: ~690,000 VIRTUAL (approximately 2.4 million dollars)
Since the announcement of the buyback program, the prices of these low liquidity tokens have surged significantly.
Skynet: Towards Truly Autonomous AI Agents
@SpheronFDN recently released a new framework called Skynet, aimed at revolutionizing the autonomy model of AI agents in Web3. Spheron is known for its decentralized GPU network, and Skynet could become a key tool in driving the true autonomy of AI agents.
Although the field of AI agents in Web3 is rapidly developing (with a market cap of 15 billion dollars), these systems are not truly autonomous. They still rely on centralized control points, such as cloud computing infrastructure that requires KYC verification, computing resources restricted by APIs, and private keys held by creators.
Skynet introduces a brand new mechanism—Guardian Nodes. These nodes function like a decentralized "board," jointly managing each agent's resources through smart contracts without relying on expensive Trusted Execution Environments (TEEs).
Even more exciting, Skynet's agents can "evolve" and "reproduce." Through its tri-reserve system (operational reserve, breeding reserve, fair launch reserve), agents can create offspring that inherit characteristics from their "parents," with each generation potentially being more complex and intelligent than the last.
Skynet's innovations may pave the way for the true autonomy of AI agents. They will be able to:
Independently acquire computing resources
Self-manage funds and resources
Make decisions without human intervention
Even create more advanced new generations of agents
This framework not only showcases the potential of AI in a decentralized environment but also provides a possible infrastructure for achieving truly autonomous agents.
Skynet is expected to be officially launched later this month, with its token paired with the Spheron token. This project is worth keeping an eye on!
Noteworthy Project Updates
The ElizaOS white paper was released last week, developed by @ai16zdao in collaboration with industry leaders such as MIT CSAIL, GoPlusSecurity, and AIME Protocol. The white paper details the technical architecture of ElizaOS and compares it with other popular agent frameworks like LangGraph and AutoGPT, highlighting its unique advantages.
Virtual Protocol announced a brand new value accumulation mechanism that redistributes late-binding taxes:
30% allocated to agent creators to incentivize more innovation;
20% allocated to trading platforms to support ecosystem development through a new "Agent Affiliates Program";
50% allocated to agent sub-DAOs for community governance decisions. This mechanism aims to better coordinate the interests of creators, trading platforms, and the Virtual ecosystem, bringing higher synergy to the entire ecosystem.
G.A.M.E launched a brand new advanced SDK (Software Development Kit), providing developers with greater customization capabilities. This update will help developers build more complex and flexible agents within their popular framework, marking an important step towards next-generation agent development.
@Spectral_Labs previewed a revolutionary new development—a multi-agent framework. This framework allows agents to autonomously hire, onboard, monitor, and even fire other agents based on demand. This feature could fundamentally change the self-organization of autonomous agent networks, bringing new possibilities to decentralized agent ecosystems.
@derivexyz launched Derive Pro, a DeFAI (Decentralized Finance and AI) trading platform developed with the assistance of Messari. The platform empowers traders through large language models (LLMs), providing functionalities such as research, execution, and portfolio management. Whether on desktop or mobile, Derive Pro aims to transform ordinary traders into "super traders."
@Mira_Network launched the Voyager testnet for its over 400,000 active users. Through the testnet, users can access a variety of top large language models, including GPT-4o, Llama 3.1 405B, and Claude 3.5 Sonnet, while also featuring distributed content verification capabilities. This marks an important step for Mira in the fields of AI and decentralized technology.
@driaforall jointly released Dria-Agent-α with Hugging Face, a large language model with 3 billion parameters designed specifically for Python function calls. Despite its compact size, it performs comparably to GPT-4o in BFCL benchmark tests and supports parallel multi-function calls. Dria-Agent-α is trained on synthetic data generated by 2,000 edge devices, providing developers with an efficient and flexible tool.
The ConsoleKit toolkit launched by @BrahmaFi aims to bridge the gap between AI agents and blockchain execution. By integrating Safe accounts (decentralized secure accounts) and modular strategies, ConsoleKit enables developers to easily deploy autonomous agents with secure transaction capabilities, providing greater security and flexibility for on-chain operations.
@UBC4ai established UBC Research, a scientific department focused on research in machine consciousness and multi-agent systems. Users holding UBC Tokens can participate in shaping research directions through voting, while also gaining priority access to the latest research outcomes, which will further enhance the overall value of the UBC ecosystem.
The Dolion platform developed by @khouuba is set to officially launch on January 28, providing a convenient platform for deploying AI agents with just one click and no programming required. Notably, a portion of Dolion's revenue will be used to burn $BULLY Tokens, thereby bringing greater value support to its ecosystem.
@fleek launched an AI agent hosting service, allowing developers to build and deploy agents using the Eliza framework in under 30 seconds and at a lower cost. This service significantly simplifies the deployment process for agents, providing developers with an efficient and convenient solution.
@labs_compass released the Compass API, a tool designed for developers and agents that supports instant execution of decentralized finance (DeFi) transactions. Initially, the Compass API will support Aave and Uniswap protocols on Ethereum and Arbitrum networks, providing a more efficient execution method for DeFi transactions.
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