Thank you for your thoughtful feedback and for seeing the potential benefits of the proposal for the DAO. I appreciate your observations.
Regarding your question about timelines and budget: If we find that we cannot meet the proposed timelines, we are committed to completing the project within the same budget. We will not request additional funding. Instead, we’ll adjust our approach and allocate our resources efficiently to ensure we deliver the promised outcomes.
Our priority is to responsibly manage the resources provided and to maintain transparency with the DAO throughout the project’s execution. If any delays or significant changes arise, we’ll promptly communicate them to keep everyone informed and to discuss the best way forward.
I’m confident that with careful planning and open communication, we’ll successfully execute the proposal.
Thank you for pointing that out! You’re absolutely correct. We’ll update the proposal to reflect the budget in ARB . We appreciate your attention to detail and are making that adjustment right away. Thanks again for your support!
Thank you for highlighting this important aspect! Yes, we absolutely plan to publish the results on the forum to keep the community informed. We’ll provide monthly updates throughout the project to share our progress, achievements, and any challenges we encounter.
Upon completion, we’ll release a comprehensive final report detailing the outcomes and insights gained from the project. We’re also open to conducting a final evaluation a few months after completion to assess the success and impact of our work.
Regular communication is crucial, and we value the community’s involvement every step of the way.
Thank you for catching that error in the timeline! We’ll adjust the proposal to reflect this.
We’ll ensure all dates align correctly with the voting schedule. Thank you again for your attention to detail. we appreciate your help in strengthening the proposal!
We completely understand your concerns, and we appreciate your honesty. We’re open to receiving funds in stages—only upon the completion of each milestone. This way, we would receive funding after delivering the agreed-upon results, ensuring accountability and creating a win-win situation for everyone.
we will be hiring new team members to bring this project to life, we’ll be transparent about who is involved as we build the team. We believe that by showing our commitment and being open about our team and progress, we can build the trust needed to move forward.
Thank you for your feedback. We’re dedicated to making this project a success and are eager to work together to achieve our shared goals.
Thank you for your thoughtful feedback! I completely agree that the real measure of success will be in attracting developers to build and deploy AI models on this infrastructure. To achieve this, we plan to implement a robust outreach and engagement strategy:
Community Engagement: We’ll host workshops, webinars, and hackathons to introduce developers to our framework and showcase its capabilities. These events will provide hands-on experience and encourage collaboration.
Developer Incentives: Offering grants, bounties, and rewards for innovative projects built on our infrastructure to motivate developers to get involved.
Partnerships: We’ll collaborate with universities, developer communities, and influential figures in the AI and blockchain spaces to expand our reach and credibility.
Marketing Efforts: Utilizing social media, blogs, and industry conferences to raise awareness about the opportunities our platform offers.
Comprehensive Resources: Providing excellent documentation, tutorials, and support to make it easy for developers to get started, even if they’re new to AI or Rust.
Regarding the competitive landscape, we’re aware that other L2s like Mode Network are shifting toward AI agents. However, we believe that Arbitrum’s unique capabilities with Stylus and the ability to use Rust give us a significant advantage. Our focus is on creating a developer-friendly environment that offers efficiency and scalability for on-chain AI applications.
By proactively engaging with the developer community and highlighting the strengths of Arbitrum, we aim to position it as the go-to platform for on-chain AI. We’re excited about the potential and are committed to fostering an ecosystem where innovation thrives.
The proposal is very forward-thinking, leveraging Stylus and Rust to enhance Arbitrum’s technical influence. However, I find the connection between the budget details and the expected outcomes a bit unclear. For instance, could the outcomes include some quantifiable metrics to provide a clearer picture of success?
I think this is a promising proposal, and Arbitrum can expand their blockchain use cases with verifiable AI. However, I’m a bit concerned about security. With AI running on the blockchain, are there any security risks we should be worried about? Is there any mechanism in place to prevent these AI models from being exploited or misused by third parties? Also, I’m not sure what long-term benefits Arbitrum will gain from this.
Thank you @0xredacted for this interesting proposal. While we like the idea of an open-source framework for projects to utilize in building AI agents. We have a few questions.
Can you provide your Github with past completed work for review? We agree with @KlausBrave that there isn’t much information provided to give us confidence that you are the right person/team to fund for this.
We share @Ignas’s thoughts. What are the potential security implications of enabling this tooling for development on Arbitrum?
We would be supportive of disbursement in tranches and we see that you’re acceptable to those terms as well. For this proposal to go through, you’ll need:
i. to prove that you can carry out the project as planned
ii. update the proposal to take into account disbursement in tranches
iii. provide insights into the potential downsides / risks (possibly can be covered in the feasibility)
Thank you for providing very detailed replies to the questions that have been asked so far and we look forward to seeing if this proposal can pass the DAO and necessary evaluations. Good luck!
Hey @0xredacted , thank you for your reply! While I understand your point of view, I still believe that attracting more applications is more valuable than focusing on specific AI groundwork. What makes one’s groundwork better than another? With an open application we could have multiple “groundwork” submissions exploring different approaches and once everything is submitted one can decide whats the best direction, and at the same time if some find useful what others submitted they can elaborate and innovate on the rest. I’m a big fan of letting the market decide what’s best and maximising options.
Moreover, another benefit of open calls is that they bring more eyes to Arbitrum’s development and ecosystem, which is always a good thing. That said, I really like your idea but maybe we should consider a balanced approach that combines both strategies.
Thank you for providing such detailed responses to the questions raised so far. We look forward to seeing whether this proposal can pass through the DAO and the necessary evaluations. I personally think, and suggest, that you consider applying for funding in batches and executing in phases. This approach allows the community to monitor project progress in real-time while ensuring transparency and efficient use of funds.
Additionally, you could introduce internal audits first. Internal audits can identify and resolve fundamental issues early on, thereby reducing the workload and complexity of external audits. This not only helps save costs but also improves overall audit efficiency.
Here’s the translation,After reviewing the recent updates, I have a few questions:
Running AI models on-chain may introduce more complex security risks, such as issues related to the privacy of computational data. Are there plans to allocate additional time and budget for security testing? The contingency fund is only $5,000, which seems relatively low. If unforeseen technical challenges arise, such as the need for more resources to optimize AI models, will this amount be sufficient?
Suggestions:
• Increase the contingency fund: Consider raising it from $5,000 to $10,000, making it 5% of the total budget, to address potential unforeseen technical challenges or delays.
Have you considered launching a “developer incentive program or collaborative initiative, such as rewarding the first 10 developers to deploy projects on the framework with additional incentives? This could rapidly accelerate ecosystem development.
Suggestions:
• Establish a long-term incentive fund (e.g., $20,000) to support community developers in building open-source tools or extension modules. Additionally, consider hosting activities like regular online/offline workshops or hackathons (in collaboration with EthGlobal) to help developers onboard the framework more efficiently.
• Launch collaborative projects with existing DeFi or NFT initiatives to showcase practical use cases of the AI framework, such as on-chain prediction markets or dynamic NFTs.