
In the 1940s, the third wave of technological revolution was set in motion by historical titans, propelling humanity onto the vast stage of a new era. Computer technology and space exploration ushered our species into uncharted territories. While the populace revealed the conveniences afforded by these groundbreaking innovations, they couldn’t escape the shadows of uncertainty, a fear that this newfound technology might displace them, leading them to unemployment. However, the passage of countless years has brought forth the Golden Age, providing resounding answers to the people’s concerns. In this period, incomes have soared dramatically, riding the coattails of technological dividends, leading to an unequivocally improved standard of living.
Today, humanity stands once again at the threshold of significant historical change. The field of artificial intelligence is currently experiencing rapid growth, ushering in disruptive transformations across various industries. With each new technological revolution, many jobs are rendered obsolete, yet they concurrently create a plethora of employment opportunities for another segment of the population. Human progress is imperative for us to keep pace with this era of change and innovation.
In the field of artificial intelligence, the most significant job creation typically occurs within the realm of data, one of the three core components alongside algorithms and computational power. Specifically, data collection and annotation demand substantial human involvement. Presently, globally renowned AI companies collect data from all around the world, but the primary channels for data acquisition are concentrated in developing countries. Unfortunately, individuals in these regions often receive inadequate compensation due to factors such as information disparities and economic development disparities. They find themselves providing top-tier technological services while receiving the lowest income on a global scale. This pervasive sense of disconnect resonates across various corners of the world.
The Alaya team realizes this problem and emphasizes that the AI industry has not given enough recognition to those who contribute to data collection and annotation. This is not only the salary compensation, but it is also a fundamental lack of acknowledgement for data providers. Often, the industry fixates excessively on intricate models and colossal computational power, overlooking the pivotal role of data.
Alaya has emerged as an integrated platform for distributed data collection and annotation within the field of artificial intelligence. Leveraging blockchain technology, it aims to advance the field of AI by aggregating and annotating data. Currently, Alaya supports data contributors through two primary initiatives:
In the realm of data collection and annotation, Alaya has already established a considerable presence. With more collaborations launched, the rewards bestowed upon its user base are destined to increase further. In the upcoming future, Alaya will thrive with its ecosystem.
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