🙋The current AI industry is exhibiting an unprecedented trend of centralization. Tech giants like OpenAI and Google control the most advanced AI models, forming a new "digital oligopoly."
These companies have hundreds of billions of dollars in capital and computing resources, but they also bring some well-known issues:
- Black box of decision-making flow: Users cannot know how the AI makes decisions and whether this decision truly considers the user's perspective.
- Unobjective output caused by compliance: It's actually quite simple; the AI companies involved are subject to compliance review in the countries they are located in, and naturally, this will carry relevant political "emotions" in the content output.
- The value of everyone is being extracted: B-end companies need to pay for using the product, C-end users need to pay for using the product, but their data makes Ai better without receiving any returns.
- Innovation is slowed due to decision-making power being held by a small group: It is evident that the companies accepting AI products, as well as the leaders of a small group (the board of directors), determine the direction of product development, which will limit the "hundred flowers blooming" of AI.
The emergence of @SentientAGI @sentient_found represents a fundamental paradigm shift - from "AI for the few" to "AI by the community, for the community."
Essentially, I think what Sentient is doing is a kind of AI equality.
Whether it is usage rights, ownership, decision-making rights, cost choices, and other rights.
📷Everyone understands the above 4 questions, but how to solve them, how to address them.
Sentient gave its own answer.
1. Community-driven model development: through the OML (Open, Monetizable, Loyalty) framework.
The trainers, deployers, and validators of AI models can all receive corresponding rewards, forming a sustainable incentive mechanism.
2. Promote decentralized governance: Utilize the decentralized characteristics of blockchain to ensure that the development direction of AGI is determined by the community.
The community decides AI, not a small minority.
3. Achieving fair distribution of value: Breaking the traditional AI companies' "winner-takes-all" model, allowing every contributor to benefit from the growth of the AI economy.
👍Where is the core technological innovation reflected?
I think GRID and OML are a reflection of its core product innovation achievements.
1. GRID is the world's largest open-source intelligent network and is the technical core of SentientAGI, integrating over 100 AI components.
I made a brief summary, everyone can take a look.
2. OML Framework: Fingerprint recognition technology of AI models
This technology can directly embed ownership and values into the model weights.
Ensure that the model uses cryptographic primitives and a trusted execution environment (TEE) that is traceable and verifiable, preventing unauthorized extraction.
Its specific commercial value lies in solving the profitability problem of open-source AI.
Developers can not only confidently share their models, but also ensure their ownership and profit rights.
📷The team has had multiple papers recognized by NeurIPS.
First, let's talk about what NeurIPS is.
For example: the Oscars in the AI field, or more familiar to everyone, the Golden Rooster, Golden Horse, and Golden Image in the film and television industry.
The value of this is self-evident.
The four accepted papers cover scalable LLM fingerprint recognition (OML), anti-pollution code benchmarking, multi-agent social games, and model safety control primitives.
1. Taking OML as an example: The OML 1.0 system developed by SentientAGI can embed 24,576 persistent, undetectable fingerprints in large language models, achieving a scale increase 100 times greater than existing solutions.
Yes, it's 100 times, you didn't see wrong.
2. Anti-pollution code evaluation benchmarks: This breaks the misleading promotion of "AI surpassing human programmers" and establishes a new standard for the credible assessment of code-generating AI.
Driving more reliable code generation in a trillion-dollar software engineering market.
📒With technology as the root, products as the core, and decentralization as the foundation, Sentient has proven itself for all AI projects.
AI belongs to all humanity
Technology is the best proof of project quality.
AI + Web3 = Future
AI For You AI For Me AI For Everyone
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🙋The current AI industry is exhibiting an unprecedented trend of centralization. Tech giants like OpenAI and Google control the most advanced AI models, forming a new "digital oligopoly."
These companies have hundreds of billions of dollars in capital and computing resources, but they also bring some well-known issues:
- Black box of decision-making flow: Users cannot know how the AI makes decisions and whether this decision truly considers the user's perspective.
- Unobjective output caused by compliance: It's actually quite simple; the AI companies involved are subject to compliance review in the countries they are located in, and naturally, this will carry relevant political "emotions" in the content output.
- The value of everyone is being extracted: B-end companies need to pay for using the product, C-end users need to pay for using the product, but their data makes Ai better without receiving any returns.
- Innovation is slowed due to decision-making power being held by a small group: It is evident that the companies accepting AI products, as well as the leaders of a small group (the board of directors), determine the direction of product development, which will limit the "hundred flowers blooming" of AI.
The emergence of @SentientAGI @sentient_found represents a fundamental paradigm shift - from "AI for the few" to "AI by the community, for the community."
Essentially, I think what Sentient is doing is a kind of AI equality.
Whether it is usage rights, ownership, decision-making rights, cost choices, and other rights.
📷Everyone understands the above 4 questions, but how to solve them, how to address them.
Sentient gave its own answer.
1. Community-driven model development: through the OML (Open, Monetizable, Loyalty) framework.
The trainers, deployers, and validators of AI models can all receive corresponding rewards, forming a sustainable incentive mechanism.
2. Promote decentralized governance: Utilize the decentralized characteristics of blockchain to ensure that the development direction of AGI is determined by the community.
The community decides AI, not a small minority.
3. Achieving fair distribution of value: Breaking the traditional AI companies' "winner-takes-all" model, allowing every contributor to benefit from the growth of the AI economy.
👍Where is the core technological innovation reflected?
I think GRID and OML are a reflection of its core product innovation achievements.
1. GRID is the world's largest open-source intelligent network and is the technical core of SentientAGI, integrating over 100 AI components.
I made a brief summary, everyone can take a look.
2. OML Framework: Fingerprint recognition technology of AI models
This technology can directly embed ownership and values into the model weights.
Ensure that the model uses cryptographic primitives and a trusted execution environment (TEE) that is traceable and verifiable, preventing unauthorized extraction.
Its specific commercial value lies in solving the profitability problem of open-source AI.
Developers can not only confidently share their models, but also ensure their ownership and profit rights.
📷The team has had multiple papers recognized by NeurIPS.
First, let's talk about what NeurIPS is.
For example: the Oscars in the AI field, or more familiar to everyone, the Golden Rooster, Golden Horse, and Golden Image in the film and television industry.
The value of this is self-evident.
The four accepted papers cover scalable LLM fingerprint recognition (OML), anti-pollution code benchmarking, multi-agent social games, and model safety control primitives.
1. Taking OML as an example: The OML 1.0 system developed by SentientAGI can embed 24,576 persistent, undetectable fingerprints in large language models, achieving a scale increase 100 times greater than existing solutions.
Yes, it's 100 times, you didn't see wrong.
2. Anti-pollution code evaluation benchmarks: This breaks the misleading promotion of "AI surpassing human programmers" and establishes a new standard for the credible assessment of code-generating AI.
Driving more reliable code generation in a trillion-dollar software engineering market.
📒With technology as the root, products as the core, and decentralization as the foundation, Sentient has proven itself for all AI projects.
AI belongs to all humanity
Technology is the best proof of project quality.
AI + Web3 = Future
AI For You
AI For Me
AI For Everyone