Most AI practitioners simply regard Crypto AI Agents as Twitter bots with tokens attached. Even aixbt, the star project in the intelligent agent field with a market value of up to 800 million US dollars, is just a better packaged Alpha hunting robot (Alpha refers to excess returns in the financial field).
@naval: "The intersection of crypto and AI seems to be the tokens that market themselves. ”
However, Naval’s perspective is obviously too limited to the current situation. He underestimates the possibilities of the future. Decentralization plays a crucial role in the field of AI, preventing monopolies and abuses.
Isn’t this exactly what we set out to do in this field?
Last week, @virtuals_io announced a major ecosystem update, launching a token buyback program worth about $40 million, funded by its bond trading revenue.
Since October 2024, Virtual has accumulated 12,990,427.85 VIRTUAL tokens, which will be used to repurchase and destroy the top intelligent agent tokens in its ecosystem.
The buyback plan is allocated based on the trading activity of each token, with a focus on rewarding projects that contribute the most to the trading volume of the Virtual ecosystem.
The distribution of the top five tokens is as follows:
GAME: ~1.6 million VIRTUAL (about 5.6 million USD)
CONVO: ~110,000 VIRTUAL (about 3.8 million US dollars)
AIXBT: ~88.1 thousand VIRTUAL (about 3 million US dollars)
SEKOIA: ~71.2 thousand VIRTUAL (about 2.5 million US dollars)
MISATO: ~690,000 VIRTUAL (approximately 2.4 million USD)
Since the announcement of the buyback plan, the prices of these low-liquidity tokens have risen significantly.
Skynet: Towards truly autonomous AI intelligence
@SpheronFDN recently released a new framework called Skynet, aimed at fundamentally changing the autonomous mode of AI agents in Web3. Spheron is already known for its decentralized GPU network, and Skynet could become a key tool in driving true autonomy for AI agents.
Despite the rapid development of AI agents in the Web3 space (with a market value of up to 15 billion USD), these systems are not truly autonomous. They still rely on centralized control points, such as identity-verified (KYC) cloud computing infrastructure, API-restricted computing resources, and private keys held by creators.
Skynet has introduced a new mechanism - Guardian Nodes. These nodes are similar to a decentralized ‘board of directors’, managing the resources of each intelligent entity collectively through smart contract custody, without relying on expensive trusted execution environments (TEE).
What’s even more exciting is that Skynet’s agents can also “evolve” and “multiply”. Through its three-reserve system (Operational Reserve, Breeding Reserve, and Equitable Start Reserve), agents can create offspring that inherit the characteristics of their “parents”, with each generation potentially being more complex and intelligent than the previous one.
Skynet’s innovations may pave the way for true autonomy of AI agents. They will be able to:
Independently acquire computing resources
Autonomous management of funds and resources
Making decisions without human intervention
Even create a more advanced new generation of intelligent beings.
This framework not only demonstrates the potential of AI in decentralized environments, but also provides a possible infrastructure for achieving true autonomous intelligent agents.
Skynet is expected to officially launch later this month, and its Token will be paired with Spheron Token. This project is worth keeping an eye on!
Attention-grabbing project updates
ElizaOS, developed by @ai16zdao, released a white paper last week, which is a result of collaboration with industry leaders such as MIT CSAIL, GoPlusSecurity, and AIME Protocol. The white paper provides a detailed introduction to the technical architecture of ElizaOS and showcases its unique advantages compared to other popular intelligent agent frameworks, such as LangGraph and AutoGPT.
Virtual Protocol announced a new value accumulation mechanism that will reallocate the later-bound taxes:
30% is allocated to the creators of intelligent agents to incentivize more innovation;
20% is allocated to the trading platform to support ecosystem development through the new ‘Agent Affiliates Program’.
50% is allocated to the smart body DAO for community governance decisions. This mechanism aims to better coordinate the interests between creators, trading platforms, and the Virtual ecosystem, bringing higher synergies to the entire ecosystem.
G.A.M.E has launched a new advanced SDK (Software Development Kit), providing developers with greater customization capabilities. This update will help developers build more complex and flexible agents in their popular frameworks, marking an important step towards next-generation agent development.
@Spectral_Labs announced a revolutionary new development - a multi-agent framework. The framework allows agents to autonomously hire, onboard, monitor, and even dismiss other agents as needed. This feature could fundamentally change the self-organizing nature of autonomous agent networks, bringing new possibilities to decentralized agent ecosystems.
@derivexyz has launched Derive Pro, a DeFAI (Decentralized Finance with AI) trading platform developed with the assistance of Messari. The platform empowers traders with Large Language Models (LLMs) to provide functions such as research, execution, and portfolio management. Whether on desktop or mobile, Derive Pro is committed to transforming ordinary traders into ‘super traders’.
@Mira_Network has launched the Voyager testnet to its over 400,000 active users. Through the testnet, users can access a variety of top-tier language models, including GPT-40, Llama 3.1405B, and Claude 3.5 Sonnet, and also have distributed content verification functionality. This marks an important step for Mira in the field of AI and decentralized technology.
@driaforall and Hugging Face have jointly released Dria-Agent-α, a 3 billion parameter large language model designed specifically for Python function calls. Despite its compact model size, it performs comparably to GPT-4o in BFCL benchmark tests and supports parallel multiple function calls. Dria-Agent-α is trained on synthetic data generated by 2000 edge devices, providing developers with efficient and flexible tools.
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 policies, ConsoleKit enables developers to easily deploy autonomous agents with secure transaction capabilities, providing higher security and flexibility for on-chain operations.
@UBC4ai has established UBC Research, which is a scientific department dedicated to the research of machine consciousness and multi-agent systems. Users holding UBC Tokens can participate in the formulation of research directions through voting and receive priority access to the latest research results. These breakthroughs will further enhance the overall value of the UBC ecosystem.
The Dolion platform developed by @khouuba will officially launch on January 28th, providing a convenient platform for deploying AI agents without programming, with just one click. It is worth noting that part of Dolion’s revenue will be used to destroy $BULLY Token, thus bringing greater value support to its ecosystem.
@fleek has launched an AI intelligent agent hosting service. Developers can use the Eliza framework to build and deploy intelligent agents in less than 30 seconds, with lower costs. This service greatly simplifies the deployment process of intelligent agents and provides developers with an efficient and convenient solution.
@labs_compass has released Compass API, which is a tool designed specifically for developers and intelligent agents, supporting instant execution of decentralized finance (DeFi) transactions. Initially, Compass API will support Aave and Uniswap protocols on the Ethereum and Arbitrum networks, providing a more efficient way to execute DeFi transactions.
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AI zone's summary last week: ElizaOS White Paper released, Virtuals launches $40 million Token repurchase plan
Author: Teng Yan - Championing Crypto AI
Compiled by DeepTech TechFlow
Most AI practitioners simply regard Crypto AI Agents as Twitter bots with tokens attached. Even aixbt, the star project in the intelligent agent field with a market value of up to 800 million US dollars, is just a better packaged Alpha hunting robot (Alpha refers to excess returns in the financial field).
@naval: "The intersection of crypto and AI seems to be the tokens that market themselves. ”
However, Naval’s perspective is obviously too limited to the current situation. He underestimates the possibilities of the future. Decentralization plays a crucial role in the field of AI, preventing monopolies and abuses.
Isn’t this exactly what we set out to do in this field?
Last week, @virtuals_io announced a major ecosystem update, launching a token buyback program worth about $40 million, funded by its bond trading revenue.
Since October 2024, Virtual has accumulated 12,990,427.85 VIRTUAL tokens, which will be used to repurchase and destroy the top intelligent agent tokens in its ecosystem.
The buyback plan is allocated based on the trading activity of each token, with a focus on rewarding projects that contribute the most to the trading volume of the Virtual ecosystem.
The distribution of the top five tokens is as follows:
GAME: ~1.6 million VIRTUAL (about 5.6 million USD)
CONVO: ~110,000 VIRTUAL (about 3.8 million US dollars)
AIXBT: ~88.1 thousand VIRTUAL (about 3 million US dollars)
SEKOIA: ~71.2 thousand VIRTUAL (about 2.5 million US dollars)
MISATO: ~690,000 VIRTUAL (approximately 2.4 million USD)
Since the announcement of the buyback plan, the prices of these low-liquidity tokens have risen significantly.
Skynet: Towards truly autonomous AI intelligence
@SpheronFDN recently released a new framework called Skynet, aimed at fundamentally changing the autonomous mode of AI agents in Web3. Spheron is already known for its decentralized GPU network, and Skynet could become a key tool in driving true autonomy for AI agents.
Despite the rapid development of AI agents in the Web3 space (with a market value of up to 15 billion USD), these systems are not truly autonomous. They still rely on centralized control points, such as identity-verified (KYC) cloud computing infrastructure, API-restricted computing resources, and private keys held by creators.
Skynet has introduced a new mechanism - Guardian Nodes. These nodes are similar to a decentralized ‘board of directors’, managing the resources of each intelligent entity collectively through smart contract custody, without relying on expensive trusted execution environments (TEE).
What’s even more exciting is that Skynet’s agents can also “evolve” and “multiply”. Through its three-reserve system (Operational Reserve, Breeding Reserve, and Equitable Start Reserve), agents can create offspring that inherit the characteristics of their “parents”, with each generation potentially being more complex and intelligent than the previous one.
Skynet’s innovations may pave the way for true autonomy of AI agents. They will be able to:
Independently acquire computing resources
Autonomous management of funds and resources
Making decisions without human intervention
Even create a more advanced new generation of intelligent beings.
This framework not only demonstrates the potential of AI in decentralized environments, but also provides a possible infrastructure for achieving true autonomous intelligent agents.
Skynet is expected to officially launch later this month, and its Token will be paired with Spheron Token. This project is worth keeping an eye on!
Attention-grabbing project updates
ElizaOS, developed by @ai16zdao, released a white paper last week, which is a result of collaboration with industry leaders such as MIT CSAIL, GoPlusSecurity, and AIME Protocol. The white paper provides a detailed introduction to the technical architecture of ElizaOS and showcases its unique advantages compared to other popular intelligent agent frameworks, such as LangGraph and AutoGPT.
Virtual Protocol announced a new value accumulation mechanism that will reallocate the later-bound taxes:
30% is allocated to the creators of intelligent agents to incentivize more innovation;
20% is allocated to the trading platform to support ecosystem development through the new ‘Agent Affiliates Program’.
50% is allocated to the smart body DAO for community governance decisions. This mechanism aims to better coordinate the interests between creators, trading platforms, and the Virtual ecosystem, bringing higher synergies to the entire ecosystem.
G.A.M.E has launched a new advanced SDK (Software Development Kit), providing developers with greater customization capabilities. This update will help developers build more complex and flexible agents in their popular frameworks, marking an important step towards next-generation agent development.
@Spectral_Labs announced a revolutionary new development - a multi-agent framework. The framework allows agents to autonomously hire, onboard, monitor, and even dismiss other agents as needed. This feature could fundamentally change the self-organizing nature of autonomous agent networks, bringing new possibilities to decentralized agent ecosystems.
@derivexyz has launched Derive Pro, a DeFAI (Decentralized Finance with AI) trading platform developed with the assistance of Messari. The platform empowers traders with Large Language Models (LLMs) to provide functions such as research, execution, and portfolio management. Whether on desktop or mobile, Derive Pro is committed to transforming ordinary traders into ‘super traders’.
@Mira_Network has launched the Voyager testnet to its over 400,000 active users. Through the testnet, users can access a variety of top-tier language models, including GPT-40, Llama 3.1405B, and Claude 3.5 Sonnet, and also have distributed content verification functionality. This marks an important step for Mira in the field of AI and decentralized technology.
@driaforall and Hugging Face have jointly released Dria-Agent-α, a 3 billion parameter large language model designed specifically for Python function calls. Despite its compact model size, it performs comparably to GPT-4o in BFCL benchmark tests and supports parallel multiple function calls. Dria-Agent-α is trained on synthetic data generated by 2000 edge devices, providing developers with efficient and flexible tools.
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 policies, ConsoleKit enables developers to easily deploy autonomous agents with secure transaction capabilities, providing higher security and flexibility for on-chain operations.
@UBC4ai has established UBC Research, which is a scientific department dedicated to the research of machine consciousness and multi-agent systems. Users holding UBC Tokens can participate in the formulation of research directions through voting and receive priority access to the latest research results. These breakthroughs will further enhance the overall value of the UBC ecosystem.
The Dolion platform developed by @khouuba will officially launch on January 28th, providing a convenient platform for deploying AI agents without programming, with just one click. It is worth noting that part of Dolion’s revenue will be used to destroy $BULLY Token, thus bringing greater value support to its ecosystem.
@fleek has launched an AI intelligent agent hosting service. Developers can use the Eliza framework to build and deploy intelligent agents in less than 30 seconds, with lower costs. This service greatly simplifies the deployment process of intelligent agents and provides developers with an efficient and convenient solution.
@labs_compass has released Compass API, which is a tool designed specifically for developers and intelligent agents, supporting instant execution of decentralized finance (DeFi) transactions. Initially, Compass API will support Aave and Uniswap protocols on the Ethereum and Arbitrum networks, providing a more efficient way to execute DeFi transactions.