ProtocolGuard：AI-Driven Exploring Potential Malicious Strategies in PAMMs & SAMMs
Utilizing AI agents and reinforcement learning, the project aims to optimize token ecosystems by simulating and refining bonding curve mechanisms to anticipate and mitigate malicious strategies in PAMM and SAMM setups.Application
Applied on: 15 Apr 2024 06:08 PM
Approved
User Review
AI Review
A1
Reviewed on 15 Apr 2024 07:01 PM
Advance the field of token engineering
ProtocolGuard aims to integrate AI agent-based modeling to optimize bonding curves within PAMMs & SAMMs, offering a novel approach to token economics and system design.
Focus on token engineering research, education, software development and/or social infrastructure
The project focuses on research and theoretical application in token engineering through simulations that can be used for educational purposes as well.
Be a public good
The project intends to provide models and tools that are accessible to the community, fostering open sharing and collaboration, which align with the characteristics of a public good.
Specify your short-term goals (within the scope of the grant) and long-term vision of their projects
ProtocolGuard has clearly outlined its short-term goals to explore malicious strategies within various PAMM and SAMM combinations, and a long-term vision to democratize token engineering through AI and simulation methods.
Provide some proof of already existing work and list any recent milestones, even if small, to be included into the round
The project has provided evidence of its initial work on bonding curves, including simulations of the Terra/LUNA case, which can be considered recent milestones.
Have a project update - If you are a returning grantee, you must provide an update on what work has been accomplished since the last grant round your project received funding from
There is no information given about previous grants or updates from past rounds, making it impossible to assess progress since the last grant without additional data.
Have a verified Twitter account
The project's Twitter account, as listed, is presumably verified, though verification of the 'verified' status from the provided information alone is not possible.