Expert Rating 1.6

Terrence Hooi

Project Owner

Decentralized AGI-Powered Trading

Expert Rating

1.6

Type SingularityNET RFP
Funding Request $80,000 USD
RFP Guidelines Utilize LLMs for modeling within MOSES

Overview

Singular AI leverages Artificial General Intelligence (AGI) to bring high-level trading tools to a decentralized community, breaking barriers that have kept such technology exclusive to financial giants like Two Sigma and JPMorgan. Offering advanced pattern recognition, real-time data analysis, bias reduction, and continuous learning, Singular AI empowers users with high-speed, AGI-driven insights. By democratizing access to institutional-grade trading intelligence, Singular AI redefines trading for individual traders and smaller firms in a decentralized, community-focused platform.

RFP Guidelines

Utilize LLMs for modeling within MOSES

Complete & Awarded

Type SingularityNET RFP
Total RFP Funding $150,000 USD
Proposals 10
Awarded Projects 1

SingularityNET

Oct. 9, 2024

This RFP invites proposals to explore the integration of LLMs into the MOSES evolutionary algorithm. Researchers can pursue one of several approaches, including generation modeling, fitness function learning, fitness estimation, investigation into domain-independent “cognitively motivated” fitness functions, or propose new innovative ways to leverage LLMs to enhance MOSES's capabilities within the OpenCog Hyperon framework.

Proposal Description

Company Name (if applicable)

Singular Global

Project details

Project Overview: Singular AI for Decentralized AGI-Powered Trading

Singular AI is pioneering the integration of Artificial General Intelligence (AGI) to transform trading. By leveraging AGI’s capabilities in advanced pattern recognition, real-time data analysis, multi-factor and bias-reduced insights, continuous learning, and high-speed processing, Singular AI brings institutional-grade trading intelligence into a decentralized, accessible environment. This innovation challenges the dominance of resource-rich organizations like Two Sigma Investments, JPMorgan Chase, and Renaissance Technologies by democratizing access to powerful trading tools that were once exclusive to major financial players.

Core Features and Objectives

1. Advanced AGI-Powered Pattern Recognition: Singular AI’s AGI-driven algorithms can detect complex patterns in market data, providing users with more precise trading signals.

2. Real-Time Data Analysis with Reduced Bias: Utilizing AGI allows for real-time, unbiased analysis of multiple data sources, helping traders make more informed decisions across diverse market conditions.

3. Continuous Learning and Adaptive Models: Singular AI continuously learns from new data and evolving market patterns, offering adaptive strategies that stay current and effective in dynamic market environments.

4. High-Speed, High-Volume Processing: Singular AI processes complex data at speeds traditionally limited to the largest financial institutions, giving individual traders the power to compete at an institutional level.

5. Decentralized and Democratized Access: This platform disrupts the status quo, making AGI-driven trading insights accessible to a broad community rather than remaining exclusive to a select few elite firms.

Open Source Licensing

GNU GPL - GNU General Public License

Singular AI will operate under the AGPL v3 license, which ensures that all source code and any modifications made, including those hosted over a network, remain accessible to the community. This license is selected to align with our commitment to transparency, collaboration, and decentralized AI development, encouraging contributions from a broad community of developers.

Exceptions & Non-Open Components

While the majority of Singular AI will be AGPL v3-compliant, there are a few exceptions for components requiring proprietary or third-party integrations to maintain security, efficiency, or functionality. These include:

• API Integrations for Data Feeds: Certain market data feeds, due to licensing restrictions, will utilize proprietary APIs.

• Encryption and Security Modules: Proprietary encryption libraries or modules may be used to enhance data security, especially where open-source alternatives cannot provide equivalent protection.

Links and references

https://singulardex.com

Activity Summary

Milestones

2

Total

Discussion

0

Total Comments

Reviews

3

Total Posted

Project Team

2

Total People

Total Milestones
2
Total Budget
$80,000_USD
Last Updated
15 Nov 2024

Milestone 1 - Core Platform Development and Initial Deployment

Description

• Develop the core functionality of Singular AI, including AGI-powered analytics, pattern recognition, and real-time data processing modules. • Implement and integrate the AGPL v3 open-source licensing framework. • Establish foundational data pipelines for secure access to decentralized data feeds. • Conduct internal testing to ensure stability, performance, and security of the core components.

Deliverables

• Functional, open-source core platform code under AGPL v3. • Initial documentation and user guides for community onboarding. • Completion of internal testing with basic user interface.

Budget

$50,000 USD

Milestone 2 - Security Enhancements, and Final Deployment

Description

• Release the platform’s beta version for community testing and feedback. • Integrate proprietary security components and finalize encryption modules for transaction and data protection. • Enhance community support resources, including guides, tutorials, and developer engagement initiatives. • Host initial community workshops for knowledge sharing and on-boarding new contributors.

Deliverables

• Beta release of Singular AI platform for community testing. • Security modules integrated and open for community review. • Complete developer documentation, including API references. • At least two community workshops and a dedicated support forum for feedback.

Budget

$30,000 USD

Join the Discussion (0)

Expert Ratings

Reviews & Ratings

Group Expert Rating (Final)

Overall

1.6

Compliance with RFP requirements 2.0
Solution details and team expertise 2.3
Value for money 2.3

Expert Review 1
Overall

1.0
- Compliance with RFP requirements 1.0
- Solution details and team expertise 2.0
- Value for money 0.0
This proposal does not really address what the RFP asks for, it proposes a trading system

Expert Review 2
Overall

2.0
- Compliance with RFP requirements 3.0
- Solution details and team expertise 2.0
- Value for money 0.0
Nice use case but no apparent relationship with the RFP.

Nice use case (financial trading), but no apparent relationship with LLMs and MOSES.

Expert Review 3
Overall

2.0
- Compliance with RFP requirements 2.0
- Solution details and team expertise 3.0
- Value for money 0.0
Unclear whether trading is tradfi or defi? In particular, the proposal references bringing “ institutional-grade trading intelligence into a decentralized, accessible environment.” While the core features and objectives make sense as goals, it is unclear to me how “Singular AI processes complex data at speeds traditionally limited to the largest financial institutions, giving individual traders the power to compete at an institutional level” especially given overhead related to AGI processing. Is the proposal targeting high-frequency trading? What specific AGI-powered tools are being targeted? All sounds great, but where are the details?

The weighted average of the 4 perspectives Overall

0.0
Each RFP defines a maximum allowed budget, but teams can differentiate their proposal by offering a solution with a lower budget or a wider scope.Value for money

0.0
This rating indicates compliance to 'Must haves' but also adaptation of 'Nice to haves' and Non-functional requirements defined in the RFP.Compliance with RFP requirements

0.0
RFPs will offer varying degrees of freedom. This rating indicates the quality of the team's specific solution ideas, the provided details, and the reviewer's confidence in the team's ability to execute.Solution details and team expertise

0.0

Review Headline

0 /50 chars

Review Summary

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The weighted average of the 4 perspectives Overall

1.6
Each RFP defines a maximum allowed budget, but teams can differentiate their proposal by offering a solution with a lower budget or a wider scope.Value for money

2.3
This rating indicates compliance to 'Must haves' but also adaptation of 'Nice to haves' and Non-functional requirements defined in the RFP.Compliance with RFP requirements

2.0
RFPs will offer varying degrees of freedom. This rating indicates the quality of the team's specific solution ideas, the provided details, and the reviewer's confidence in the team's ability to execute.Solution details and team expertise

2.3

Review Headline

0 /50 chars

0 /5000 chars

Warning: Adding final group rating for this project will prevent expert users from adding new or editing existing reviews

Reviews and Ratings in Deep Funding are structured in 4 categories. This will ensure that the reviewer takes all these perspectives into account in their assessment and it will make it easier to compare different projects on their strengths and weaknesses. Overall (Primary) This is an average of the 4 perspectives. At the start of this new process, we are assigning an equal weight to all categories, but over time we might change this and make some categories more important than others in the overall score. (This may even be done retroactively). Feasibility (secondary) This represents the user\'s assessment of whether the proposed project is theoretically possible and if it is deemed feasible. E.g. A proposal for nuclear fission might be theoretically possible, but it doesn’t look very feasible in the context of Deep Funding. Viability (secondary) This category is somewhat similar to Feasibility, but it interprets the feasibility against factors such as the size and experience of the team, the budget requested, and the estimated timelines. We could frame this as: “What is your level of confidence that this team will be able to complete this project and its milestones in a reasonable time, and successfully deploy it?” Examples:

A proposal that promises the development of a personal assistant that outperforms existing solutions might be feasible, but if there is no AI expertise in the team the viability rating might be low.
A proposal that promises a new Carbon Emission Compensation scheme might be technically feasible, but the viability could be estimated low due to challenges around market penetration and widespread adoption.

Desirability (secondary) Even if the project team succeeds in creating a product, there is the question of market fit. Is this a project that fulfills an actual need? Is there a lot of competition already? Are the USPs of the project sufficient to make a difference? Example:

Creating a translation service from, say Spanish to English might be possible, but it\'s questionable if such a service would be able to get a significant share of the market

Usefulness (secondary) This is a crucial category that aligns with the main goal of the Deep Funding program. The question to be asked here is: “To what extent will this proposal help to grow the Decentralized AI Platform?” For proposals that develop or utilize an AI service on the platform, the question could be “How many API calls do we expect it to generate” (and how important / high-valued are these calls?). For a marketing proposal, the question could be “How large and well-aligned is the target audience?” Another question is related to how the budget is spent. Are the funds mainly used for value creation for the platform or on other things? Examples:

A metaverse project that spends 95% of its budget on the development of the game and only 5 % on the development of an AI service for the platform might expect a low ‘usefulness’ rating here.

A marketing proposal that creates t-shirts for a local high school, would get a lower ‘usefulness’ rating than a marketing proposal that has a viable plan for targeting highly esteemed universities in a scaleable way.
An AI service that is fully dedicated to a single product, does not take advantage of the purpose of the platform. When the same service would be offered and useful for other parties, this should increase the ‘usefulness’ rating.

Terrence Hooi

Project Owner

Lead project vision, oversee milestones, manage budgets, and engage stakeholders. Ensure quality deliverables, foster community collaboration, and drive alignment with Singular AI’s mission.

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