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.
About Expert 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.
Here is my reply in clearer terms to questions during Pitch Spotlight for a practical example of our project's use case: https://deepfunding.ai/proposal/4675/
Facts Autistic individuals have high unemployment (~84%) and mortality (39-54 yrs) mostly due to barriers to employment, accommodations, and the personal stress of "masking" or hiding neurodivergent traits to try and blend in. This leads, in financial terms, to high lost productivity, income and higher medical costs of 0.5 to 3 million dollars USD per person, worldwide. Research links: https://docs.google.com/document/d/1VLh0Pq0nUeU3Su9bymEJ17IpTgM8YFsZzpX047o2qOo/edit#heading=h.b4grant72lcyOur Proposal's Pillars - employment, side income, and a place at the table of future AGIGiven the magnitude of this inequality at odds with the education, skills and talent neurodivergent (ND) people actually have, I've designated employment opportunity and outreach as the two most important factors to focus on. ND traits are mostly understood only through a very small portion of the community, and it is a worldwide, human, phenomenon. So, our solution needs to work with a wide variety of individualized traits, worldwide - a perfect problem to develop in context with AI and AGI. We've already been developing outreach over the past year thanks to our team who have the connections.Practical Use CaseA practical example is an individual connects with the League through outreach, our social media, or in concert with existing ND services that have pre-vetted the neurodiverse situation of their client. The new League member signs on and works with us to develop their private profile of skills, accommodations needs, traits, and how they'd like to present themselves in the style of the League.Our then-existing AI service works to match their traits, skills and needs to employers worldwide registered with us, or with existing employment services we work with VIA outreach. We can present our new League member directly to employers, or the ND applicant can do so themselves. AGIX, SingularityNET and Virtual Economies Play a Vital RoleI've found that knowledge of AI and cryptocurrency, which has given me an opportunity, is not so well known in my support groups. So, I've added on-boarding to SNET to our proposal to help grow our SNET community with the ND community. A trial (test) of a virtual economy is an important pillar to include because many of us work from home, which gives us control over our environment, but also can limit our new opportunities. Also, existing markets and service plaforms have too many teams or bad actors disrupting others' income, so a new service dedicated to our needs is valuable.Our Place in the Future of AI: AGILastly, given that ND individuals worldwide are essentially kept out of mainstream income, promotion, online and IRL prosperity opportunities, I think it important to make a place for us in the near future of AGI, and to leaven AGI's characteristics with our brilliantly neurodiverse minds. So to that end we will start figuring out AGI development using the OpenCog framework, to make a platform with a worldview for neurodiverse minds (1 in 5 people worldwide, 1 in 100 are autistic). Thank you! If I can accomplish all of this, I know ND people worldwide can too with the League of Extraordinary Talent and the fully skilled team we now are. Pitch SpotlightPitch video (a wonderful chance for me to design a narrative and edit again, elevated to a higher standard by our team's voiceover and critiques): https://youtu.be/nsv1Ogbp-VM?si=CKvNLSghL1da25mj
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Rating Categories
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.
About Expert 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.
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Here is my reply in clearer terms to questions during Pitch Spotlight for a practical example of our project's use case: https://deepfunding.ai/proposal/4675/
Facts Autistic individuals have high unemployment (~84%) and mortality (39-54 yrs) mostly due to barriers to employment, accommodations, and the personal stress of "masking" or hiding neurodivergent traits to try and blend in. This leads, in financial terms, to high lost productivity, income and higher medical costs of 0.5 to 3 million dollars USD per person, worldwide. Research links: https://docs.google.com/document/d/1VLh0Pq0nUeU3Su9bymEJ17IpTgM8YFsZzpX047o2qOo/edit#heading=h.b4grant72lcy Our Proposal's Pillars - employment, side income, and a place at the table of future AGIGiven the magnitude of this inequality at odds with the education, skills and talent neurodivergent (ND) people actually have, I've designated employment opportunity and outreach as the two most important factors to focus on. ND traits are mostly understood only through a very small portion of the community, and it is a worldwide, human, phenomenon. So, our solution needs to work with a wide variety of individualized traits, worldwide - a perfect problem to develop in context with AI and AGI. We've already been developing outreach over the past year thanks to our team who have the connections.Practical Use CaseA practical example is an individual connects with the League through outreach, our social media, or in concert with existing ND services that have pre-vetted the neurodiverse situation of their client. The new League member signs on and works with us to develop their private profile of skills, accommodations needs, traits, and how they'd like to present themselves in the style of the League.Our then-existing AI service works to match their traits, skills and needs to employers worldwide registered with us, or with existing employment services we work with VIA outreach. We can present our new League member directly to employers, or the ND applicant can do so themselves. AGIX, SingularityNET and Virtual Economies Play a Vital RoleI've found that knowledge of AI and cryptocurrency, which has given me an opportunity, is not so well known in my support groups. So, I've added on-boarding to SNET to our proposal to help grow our SNET community with the ND community. A trial (test) of a virtual economy is an important pillar to include because many of us work from home, which gives us control over our environment, but also can limit our new opportunities. Also, existing markets and service plaforms have too many teams or bad actors disrupting others' income, so a new service dedicated to our needs is valuable.Our Place in the Future of AI: AGILastly, given that ND individuals worldwide are essentially kept out of mainstream income, promotion, online and IRL prosperity opportunities, I think it important to make a place for us in the near future of AGI, and to leaven AGI's characteristics with our brilliantly neurodiverse minds. So to that end we will start figuring out AGI development using the OpenCog framework, to make a platform with a worldview for neurodiverse minds (1 in 5 people worldwide, 1 in 100 are autistic). Thank you! If I can accomplish all of this, I know ND people worldwide can too with the League of Extraordinary Talent and the fully skilled team we now are. Pitch SpotlightPitch video (a wonderful chance for me to design a narrative and edit again, elevated to a higher standard by our team's voiceover and critiques): https://youtu.be/nsv1Ogbp-VM?si=CKvNLSghL1da25mj