The meshing of Web3 and artificial intelligence (AI) is happening at an ever-increasing pace, and blockchain tech is proving to be a major influence in the way AI shapes up for the future.
The costs of innovation in AI are high, with the computational needs and large data sets needed to train models being out of reach for the majority. As a result, there is a risk that innovations in AI and the financial rewards from such innovation could be a preserve of a few individuals and entities that can mobilize the needed resources to drive innovation.
This is where decentralized AI comes in. It relies on decentralized blockchain technology as well as other distributed ledger systems to foster an equitable way to distribute resources. This results in collaborative efforts to develop new AI technologies.
Qtum’s cofounder Miguel Palencia attests to the benefits of decentralized blockchain in shaping how AI grows in the future. His company recently installed 10,000 GPUs from Nvidia. The company’s aim is to create an AI chatbot as well as an image generator. Palencia’s company wants to give those who contribute to the training of the chatbot and image generator a degree of ownership of the content that helps to train those models. In this way, he says, the AI will benefit everyone.
Another area where blockchain technology can play a major role in the development of AI is on matters of acknowledging and rewarding those whose work helps to create an AI solution. For example, the New York Times (NYT) sued OpenAI and Microsoft for copyright infringement because content from the NYT was used to train ChatGPT without express permission from the newspaper. Many other publications are also unhappy that their content was or is being used to train the large language models behind many of the generative AI applications out there. The call for fair compensation is getting louder.
Decentralized AI can resolve these sources of conflict. The blockchain technology behind decentralized AI has the ability to identify and track any contributors whose data or information helped in the creation of an AI solution. As a result, it is easier to determine who deserves to be compensated and how much that compensation ought to be since there is a verifiable trail of their contribution to the AI solution.
Proprietary data, such as in the finance and healthcare sectors, can also be safely leveraged in the development of AI solutions without risking the privacy and security of that data by using federated learning or homomorphic encryption, among other Web3 technologies. Businesses then earn rewards for availing their proprietary data during the AI development process.
Blockchain technology is bound to play an increasing role in furthering and deepening AI’s reach in different industries and sectors. Entities that are already leveraging AI, such as NextPlat Corp. (NASDAQ: NXPL) (NASDAQ: NXPLW), could see themselves incorporating even more advanced technologies as Web3 matures.
NOTE TO INVESTORS: The latest news and updates relating to NextPlat Corp. (NASDAQ: NXPL, NXPLW) are available in the company’s newsroom at https://ibn.fm/NXPL
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