AI DAO: 6 Application Directions Of DAO Using AI’s Powerful Potential
The next wave of DAOs may have a new acronym: AI DAO. DAOs can leverage AI to make better governance decisions, increase efficiency, and integrate with other DAOs. But the cross-application of AI DAO could be much more than that. DAOs and AI can reinforce each other and help each other grow.
Ocean Protocol founder Trent McConaghy argued in a 2016 article that, in effect, DAOs could facilitate the “wake-up” of AI.
“AI DAO may be much larger than the scenarios and tracks of AI or DAO. AI fills the gap-resources through DAO, and DAO forms autonomous decision-making through AI, and its potential impact is multiplied.”
Today, we will discuss the application scenarios where AI and DAO are mutually driven. Scenarios are sorted by implementation time “from recent to near future”:
AI Bots and Assistants: Boosting DAO Productivity and Improving Product Services
AI tools can be used to speed up and improve a host of DAO activities, such as writing proposals, summarizing governance decisions, conducting asset transactions, and recruiting new members. This use case already exists and works well in the DAO space.
The AI can also read resumes, decide which new members to bring into the DAO, and assign the most qualified members to roles. This can be achieved through on-chain reputation or credential storage that reveals skills on the blockchain.
DAO contributors increase productivity and get more done faster by using AI assistants like DALL-E for art and Chat GPT for writing. In DAO, this thing is already running.
“AI is having a major impact on writing and content creation. TalentDAO is using AI to improve organizational health. Today’s DAO is very emphatic – white papers, manifestos, Mirror blogs, proposals, etc. There is no doubt that AI will enhance these and will be one of the major use cases. “
DAO members train AI models to do mundane tasks so they can spend more time on creative and strategic work. “In DAOs, we spend a lot of time on low-level tasks that could be spent creating value.” This is a net benefit for everyone, as people will start doing more fulfilling work, even if is in the early stages of a career.
AI improves the user experience of DAO governance
AI also has great potential to improve the user experience of DAO governance.
Jengajojo, a member of BanklessDAO, a governance enthusiast and “another LARPer in the metaverse”, mentioned the huge potential of AI in governance to accelerate DAO productivity.
AI has the ability to “break down context. Imagine instead of waking up to DM spam every morning, an AI sums up everything a biological human misses into a 140-character tweet or a two-minute clip. As many creatures as there are to keep up with what’s going on.
Currently, DAO governance proposals are lengthy dissertations that require extensive DAO background knowledge. What if the proposal was tailored to the media format that best suits the reader?
In addition to providing governance summaries, AI can also assist with forum moderation. It can automatically flag or remove posts containing keywords or phrases related to prohibited content, such as hate speech or harassment, or alert when users post relevant content that is inappropriate for the forum. This helps keep the forum limited to relevant content.
AI can assist forum moderators in reviewing flagged content and deciding on next steps. By analyzing forum codes of conduct and other guidelines, the AI reviews the context and history of user posts to decide whether to delete a post or ban a user entirely.
With all these tools in place, AI can still provide a signal amidst all the noise in the DAO space and beyond.
A DAO offering AI-driven products and services
AI can also be incorporated into products or services offered by DAOs, such as SingularityDAO’s decentralized portfolio management protocol for managing crypto assets.
Emmet Halm, co-founder of DAO dashboard and marketplace DAOHQ, predicts that many DAOs will be built on top of the Open AI model. “Entrepreneurs and online builder communities will use the DAO structure to manage AI-driven products, and the DAO’s unique value distribution mechanism makes it easier to distribute the wealth generated by products and services built on AI models.
“AI may become one of the most powerful wealth creation tools in history. DAOs are a way of distributing ownership. In the past, when a world-changing invention hit the market, its benefits flowed to a small group of owners. DAOs allow that wealth to flow to a larger group.”
AI at the DAO’s Edge: Acting as a Token Holder
DAO governance is cumbersome and slow. This is a disadvantage for many organizations, especially those developing products in a fast-paced startup environment.
AI DAO can solve this problem by voting instead of humans. They can delegate tokens to an AI agent to vote on their behalf, rather than a human making a voting decision and signing it with a wallet.
AI DAO agents can be programmed to vote in a variety of ways. For example, an AI can only vote “yes” on proposals that meet certain requirements in the governance process. Or it could even vote based on strategies, such as always saying “no” to proposals that mint more governance tokens and dilute power.
In Ocean Protocol founder Trent McConaghy’s article “AI DAO and Three Ways to Do It,” he argues that AI as a token holder can ensure that a quorum is reached every time and that voting never stalls. Token holders are busy people. But busy human token holders can simply control the edge script AI DAO of choice. This way, there is always a quorum in governance! “
How AI agents representing token holders can make DAOs truly unstoppable.
“Imagine if all token holders in The DAO gave up to AI bots. We would have $150 million managed by AI that you couldn’t turn off. Every bot holding tokens could also become more Complex, with its own marketplace for automated small decision making. DAOs may end up being more complex and automated than we thought,” McConaghy said.
AI does not have to completely take over the voting power of every token holder in the DAO. Humans and AI agents can co-exist in harmony, talking in forums and voting on decisions, as we do today.
AI for DAO Core Functions: Interacting with Core Contracts
AI DAO can directly interact with DAO’s smart contracts.
AI DAO can automate certain operations on a DAO’s treasury, such as asset management strategies to earn yield. This will be done without human intervention. Plenty of wealth management platforms already use AI to make trading decisions, so this only needs to be applied specifically to DAOs.
A plugin could be installed in the DAO that would allow the AI DAO to transact in cryptocurrency in the treasury as long as it falls below a certain dollar value. Votes are automatically triggered in different plugins as soon as the AI DAO tries to make a transaction above that dollar value.
When the DAO decides it wants to use a new investment strategy, it simply revokes the license to that plugin and grants permission to another plugin that implements a different AI trading strategy.
AI can also improve the security of DAOs by checking for malicious proposals. If the address from which funds are sent when automated does not match the address specified in the forum proposal, it will be flagged as malicious.
Additional parameters can be embedded to discourage malicious proposals, such as those seeking to increase the quorum and pass rate so high that no votes pass.
AI can perform another important security function: reading proposals and estimating how risky the funds are, assigning a score to proposals based on risk. This could be done like a credit scoring algorithm or a robo-wealth advisor today. Instead of humans needing to identify risks and allow their own biases to creep in, AI can simply do the job.
AI Connectors Within or Between DAOs: Forming a “Swarm Intelligence”
AI agents can act as connections or liaisons between DAOs, forming a sort of agent or “swarm intelligence” of DAOs that can work together without human assistance.
Here’s another interesting idea brought up by Trent McConaghy: AI agents aren’t very smart themselves, but their strength comes from their numbers and their connections, like ants or bees.
For example, an AI DAO that knows how to check real-time cryptocurrency prices isn’t very useful by itself. But when paired with an AI DAO that can perform exchanges, an AI DAO that can create proposals for the DAO, and an AI DAO that can search for the best yield, you have a service DAO run entirely by AI DAO that provides asset management for the DAO.
If all AIs keep learning and getting better at what they do, they can outperform the best asset management teams in the world in no time. This is swarm intelligence at work.
Swarm intelligence can be applied not only within DAOs, but also between DAOs. Such as: meta-governance.
If a DAO’s mission is to slow down the rate of deforestation in the Amazon. Another DAO’s mission is to slow down global warming in general. Whenever the Global Warming DAO makes a proposal related to the Amazon Rainforest, the AI DAO agent will comment in the forum and vote on behalf of the Amazon Rainforest DAO. This can greatly simplify meta-governance between DAOs.
Through this swarm intelligence use case, AI DAO can form connections within and across DAOs, ultimately making DAOs fully autonomous in nature, not just in name.
DAOs Governing AI as a Public Good: Improving AI Security
Currently, AI DAO is largely in the hands of private companies or governments. We don’t know what’s going on in the back end of an organization like OpenAI right now. The model may not be constructed in a way that is most suitable for humans.
Building AI DAO in silos has significant risks. Morally questionable AI is “taking off” (at a rapid, irreversible pace toward superintelligence). Suppose a totalitarian government is programming an AI to target and track specific groups of people. This AI is achieved before anyone can stop it, then this AI may become the superintelligence that rules our world. Or, an AI designed for good could become misaligned because of the way it learns and then be irreversible.
Preventing malicious AI DAO from taking off is fundamentally a coordination problem, and DAOs provide a way to coordinate across geographies at scale. If open-source, democratically governed AI models become possible through DAOs, AI that takes off may be less harmful to humans.
The DAO is positioned to help create responsible AI that is both open and decentralized. However, building AI DAO is very expensive, and it may take a long time for DAOs to build their own models and catch up with centralized parties.
AI becomes a DAO: AI owns an on-chain treasury
DAOs allow shared ownership of treasuries. But what if the DAO is AI? Then, AI is the “master” of the vault. Now you have an AI DAO ready to deploy capital.
Trent and his team at Ocean Protocol wrote this interesting prediction: “We may have a future where humans have nothing but rent services from AI DAO.”
The prediction here is that AI will have its own coffers and control its own actions. For example, if the AI is a DAO that owns a treasury, a self-driving car controlled by the AI could “own” itself. Instead of humans owning self-driving cars, we pay rent to the vault of an AI DAO.
A world in which AI owns assets will be fundamentally different from the world we know today. The prospect is equally exciting and terrifying!
Conclusion
There has been a lot of negativity about what would happen if human-level AI was achieved and how quickly superintelligence would emerge.
But with any new technology comes worry and fear. Throughout the history of technology, there have always been growing pains. For example, with the birth of the Internet, the typesetter who typeset newspapers on old-fashioned printing presses was replaced by the graphic designers who typeset websites. Old jobs disappear and new ones appear. We could see the same thing happening with AI DAO.
For now, all we can do is take this technology, apply it to DAOs, and see where it takes us!
DISCLAIMER: The Information on this website is provided as general market commentary and does not constitute investment advice. We encourage you to do your own research before investing.
Join us to keep track of news: https://linktr.ee/coincu
Website: coincu.com
Harold
Coincu News
Author
Knowledge
AI DAO: 6 Application Directions Of DAO Using AI’s Powerful Potential
The next wave of DAOs may have a new acronym: AI DAO. DAOs can leverage AI to make better governance decisions, increase efficiency, and integrate with other DAOs. But the cross-application of AI DAO could be much more than that. DAOs and AI can reinforce each other and help each other grow.
Ocean Protocol founder Trent McConaghy argued in a 2016 article that, in effect, DAOs could facilitate the “wake-up” of AI.
“AI DAO may be much larger than the scenarios and tracks of AI or DAO. AI fills the gap-resources through DAO, and DAO forms autonomous decision-making through AI, and its potential impact is multiplied.”
Today, we will discuss the application scenarios where AI and DAO are mutually driven. Scenarios are sorted by implementation time “from recent to near future”:
AI Bots and Assistants: Boosting DAO Productivity and Improving Product Services
AI tools can be used to speed up and improve a host of DAO activities, such as writing proposals, summarizing governance decisions, conducting asset transactions, and recruiting new members. This use case already exists and works well in the DAO space.
The AI can also read resumes, decide which new members to bring into the DAO, and assign the most qualified members to roles. This can be achieved through on-chain reputation or credential storage that reveals skills on the blockchain.
DAO contributors increase productivity and get more done faster by using AI assistants like DALL-E for art and Chat GPT for writing. In DAO, this thing is already running.
“AI is having a major impact on writing and content creation. TalentDAO is using AI to improve organizational health. Today’s DAO is very emphatic – white papers, manifestos, Mirror blogs, proposals, etc. There is no doubt that AI will enhance these and will be one of the major use cases. “
DAO members train AI models to do mundane tasks so they can spend more time on creative and strategic work. “In DAOs, we spend a lot of time on low-level tasks that could be spent creating value.” This is a net benefit for everyone, as people will start doing more fulfilling work, even if is in the early stages of a career.
AI improves the user experience of DAO governance
AI also has great potential to improve the user experience of DAO governance.
Jengajojo, a member of BanklessDAO, a governance enthusiast and “another LARPer in the metaverse”, mentioned the huge potential of AI in governance to accelerate DAO productivity.
AI has the ability to “break down context. Imagine instead of waking up to DM spam every morning, an AI sums up everything a biological human misses into a 140-character tweet or a two-minute clip. As many creatures as there are to keep up with what’s going on.
Currently, DAO governance proposals are lengthy dissertations that require extensive DAO background knowledge. What if the proposal was tailored to the media format that best suits the reader?
In addition to providing governance summaries, AI can also assist with forum moderation. It can automatically flag or remove posts containing keywords or phrases related to prohibited content, such as hate speech or harassment, or alert when users post relevant content that is inappropriate for the forum. This helps keep the forum limited to relevant content.
AI can assist forum moderators in reviewing flagged content and deciding on next steps. By analyzing forum codes of conduct and other guidelines, the AI reviews the context and history of user posts to decide whether to delete a post or ban a user entirely.
With all these tools in place, AI can still provide a signal amidst all the noise in the DAO space and beyond.
A DAO offering AI-driven products and services
AI can also be incorporated into products or services offered by DAOs, such as SingularityDAO’s decentralized portfolio management protocol for managing crypto assets.
Emmet Halm, co-founder of DAO dashboard and marketplace DAOHQ, predicts that many DAOs will be built on top of the Open AI model. “Entrepreneurs and online builder communities will use the DAO structure to manage AI-driven products, and the DAO’s unique value distribution mechanism makes it easier to distribute the wealth generated by products and services built on AI models.
“AI may become one of the most powerful wealth creation tools in history. DAOs are a way of distributing ownership. In the past, when a world-changing invention hit the market, its benefits flowed to a small group of owners. DAOs allow that wealth to flow to a larger group.”
AI at the DAO’s Edge: Acting as a Token Holder
DAO governance is cumbersome and slow. This is a disadvantage for many organizations, especially those developing products in a fast-paced startup environment.
AI DAO can solve this problem by voting instead of humans. They can delegate tokens to an AI agent to vote on their behalf, rather than a human making a voting decision and signing it with a wallet.
AI DAO agents can be programmed to vote in a variety of ways. For example, an AI can only vote “yes” on proposals that meet certain requirements in the governance process. Or it could even vote based on strategies, such as always saying “no” to proposals that mint more governance tokens and dilute power.
In Ocean Protocol founder Trent McConaghy’s article “AI DAO and Three Ways to Do It,” he argues that AI as a token holder can ensure that a quorum is reached every time and that voting never stalls. Token holders are busy people. But busy human token holders can simply control the edge script AI DAO of choice. This way, there is always a quorum in governance! “
How AI agents representing token holders can make DAOs truly unstoppable.
“Imagine if all token holders in The DAO gave up to AI bots. We would have $150 million managed by AI that you couldn’t turn off. Every bot holding tokens could also become more Complex, with its own marketplace for automated small decision making. DAOs may end up being more complex and automated than we thought,” McConaghy said.
AI does not have to completely take over the voting power of every token holder in the DAO. Humans and AI agents can co-exist in harmony, talking in forums and voting on decisions, as we do today.
AI for DAO Core Functions: Interacting with Core Contracts
AI DAO can directly interact with DAO’s smart contracts.
AI DAO can automate certain operations on a DAO’s treasury, such as asset management strategies to earn yield. This will be done without human intervention. Plenty of wealth management platforms already use AI to make trading decisions, so this only needs to be applied specifically to DAOs.
A plugin could be installed in the DAO that would allow the AI DAO to transact in cryptocurrency in the treasury as long as it falls below a certain dollar value. Votes are automatically triggered in different plugins as soon as the AI DAO tries to make a transaction above that dollar value.
When the DAO decides it wants to use a new investment strategy, it simply revokes the license to that plugin and grants permission to another plugin that implements a different AI trading strategy.
AI can also improve the security of DAOs by checking for malicious proposals. If the address from which funds are sent when automated does not match the address specified in the forum proposal, it will be flagged as malicious.
Additional parameters can be embedded to discourage malicious proposals, such as those seeking to increase the quorum and pass rate so high that no votes pass.
AI can perform another important security function: reading proposals and estimating how risky the funds are, assigning a score to proposals based on risk. This could be done like a credit scoring algorithm or a robo-wealth advisor today. Instead of humans needing to identify risks and allow their own biases to creep in, AI can simply do the job.
AI Connectors Within or Between DAOs: Forming a “Swarm Intelligence”
AI agents can act as connections or liaisons between DAOs, forming a sort of agent or “swarm intelligence” of DAOs that can work together without human assistance.
Here’s another interesting idea brought up by Trent McConaghy: AI agents aren’t very smart themselves, but their strength comes from their numbers and their connections, like ants or bees.
For example, an AI DAO that knows how to check real-time cryptocurrency prices isn’t very useful by itself. But when paired with an AI DAO that can perform exchanges, an AI DAO that can create proposals for the DAO, and an AI DAO that can search for the best yield, you have a service DAO run entirely by AI DAO that provides asset management for the DAO.
If all AIs keep learning and getting better at what they do, they can outperform the best asset management teams in the world in no time. This is swarm intelligence at work.
Swarm intelligence can be applied not only within DAOs, but also between DAOs. Such as: meta-governance.
If a DAO’s mission is to slow down the rate of deforestation in the Amazon. Another DAO’s mission is to slow down global warming in general. Whenever the Global Warming DAO makes a proposal related to the Amazon Rainforest, the AI DAO agent will comment in the forum and vote on behalf of the Amazon Rainforest DAO. This can greatly simplify meta-governance between DAOs.
Through this swarm intelligence use case, AI DAO can form connections within and across DAOs, ultimately making DAOs fully autonomous in nature, not just in name.
DAOs Governing AI as a Public Good: Improving AI Security
Currently, AI DAO is largely in the hands of private companies or governments. We don’t know what’s going on in the back end of an organization like OpenAI right now. The model may not be constructed in a way that is most suitable for humans.
Building AI DAO in silos has significant risks. Morally questionable AI is “taking off” (at a rapid, irreversible pace toward superintelligence). Suppose a totalitarian government is programming an AI to target and track specific groups of people. This AI is achieved before anyone can stop it, then this AI may become the superintelligence that rules our world. Or, an AI designed for good could become misaligned because of the way it learns and then be irreversible.
Preventing malicious AI DAO from taking off is fundamentally a coordination problem, and DAOs provide a way to coordinate across geographies at scale. If open-source, democratically governed AI models become possible through DAOs, AI that takes off may be less harmful to humans.
The DAO is positioned to help create responsible AI that is both open and decentralized. However, building AI DAO is very expensive, and it may take a long time for DAOs to build their own models and catch up with centralized parties.
AI becomes a DAO: AI owns an on-chain treasury
DAOs allow shared ownership of treasuries. But what if the DAO is AI? Then, AI is the “master” of the vault. Now you have an AI DAO ready to deploy capital.
Trent and his team at Ocean Protocol wrote this interesting prediction: “We may have a future where humans have nothing but rent services from AI DAO.”
The prediction here is that AI will have its own coffers and control its own actions. For example, if the AI is a DAO that owns a treasury, a self-driving car controlled by the AI could “own” itself. Instead of humans owning self-driving cars, we pay rent to the vault of an AI DAO.
A world in which AI owns assets will be fundamentally different from the world we know today. The prospect is equally exciting and terrifying!
Conclusion
There has been a lot of negativity about what would happen if human-level AI was achieved and how quickly superintelligence would emerge.
But with any new technology comes worry and fear. Throughout the history of technology, there have always been growing pains. For example, with the birth of the Internet, the typesetter who typeset newspapers on old-fashioned printing presses was replaced by the graphic designers who typeset websites. Old jobs disappear and new ones appear. We could see the same thing happening with AI DAO.
For now, all we can do is take this technology, apply it to DAOs, and see where it takes us!
DISCLAIMER: The Information on this website is provided as general market commentary and does not constitute investment advice. We encourage you to do your own research before investing.
Join us to keep track of news: https://linktr.ee/coincu
Website: coincu.com
Harold
Coincu News
Other Posts
Related Posts
News
iOS Zero-day Exploit Discovered by Trust Wallet Is Causing Confusion Among iPhone Users
Knowledge
