Is the story of AI only for big companies?
Or are we, the true authors, forgotten from the very beginning?
New AI projects seem to emerge almost every day: some use it to generate music, some have it write scripts, and others use it to analyze medical data.
AI seems to be omnipotent, but as it becomes more powerful, we who provide the data are increasingly easy to overlook, as if we never existed.
This is definitely not the ideal future. We need a new way to return value and rights to the true creators.
There was once a very hot topic: many people worried that "AI will replace humans," but looking at it from a different perspective, do people really think AI is a terminator?
Matt Welsh, former engineering director at Google, predicted: "The profession of programmer will disappear in three years." It sounds scary, but upon closer inspection, he is actually talking about evolution.
AI may be able to write code, but humans are still responsible for training, validating, and teaching it new skills.
I think the question is not "Will we be replaced?" but can we always have a position in the loop?
This is exactly what @PublicAI_ aims to solve, proposing the concept of the Human Layer, which brings humanity back to the core of AI.
■PublicAI's solution: The "human-centered layer" of the data economy
Since the data comes from people, those who provide the data should benefit. It has built a global network where both data uploaders and validators can receive rewards.
Moreover, it doesn't just focus on the training phase; PublicAI also involves people in the process of AI output and decision-making. People are not just laborers; they can also be supervisors and collaborators.
■Three-tier architecture: from data to consensus
The ecosystem of PublicAI can be broken down into three layers:
◇Data Center (DataHub): Collects and verifies data, ensuring data quality through a consensus mechanism.
◇Data Hunter: Node operators provide computing power and can also interact on social platforms to create more valuable data.
◇Blockchain and Smart Contract Layer: Ensure fairness through on-chain transparency mechanisms, with all rewards and penalties written on the chain to ensure traceability and tamper-proof.
■Why not use data synthesized by AI itself?
Some people believe that AI can generate data for training by itself, but research has shown that this will only lead to further degradation. To obtain reliable and diverse data, we still need real people, which is the opportunity for PublicAI.
It has over 1 million contributors involved, helping clients generate 14 million dollars in revenue. This data is real and diverse, making AI more reliable.
Currently, PublicAI has covered over 200 countries, with nearly 3 million active users. It has completed a $10 million financing round and received support from the NEAR and Solana foundations, and has also passed the incubation of the Stanford Blockchain Accelerator.
@PublicAI_ This August, it also conducted a token public offering on Coinlist, receiving ten times the expected funding subscriptions, while its FDV at the time of the public offering was only $7,000.
Compared to other players in the industry, Sahara's valuation is nearing one billion dollars, which means PublicAI still has ten times the growth potential, and TGE is also expected to be listed on mainstream exchanges in the third quarter of 2025.
Many people worry that AI will take away jobs, but looking at it from another perspective: what if we could become teachers, reviewers, and collaborators of AI?
The future of work may not be about competing with AI, but rather working alongside it, allowing humans to create value without being marginalized.
The story of AI is being written every day, but it should not lack our signature. What PublicAI wants to do is rewrite human value into the underlying logic of AI.
As AI becomes increasingly powerful, can we still stay at the core? PublicAI is providing the answer.
#PublicAI
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