Data Boom Could Sustain AI Progress Even if Core Research Slows

Data Boom Could Sustain AI Progress Even if Core Research Slows

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Despite potential slowdowns in key AI research areas like model scaling and algorithm development, the relentless growth in data quantity and quality is poised to fuel continued advancements. Companies are increasingly focused on curating specialized datasets designed to optimize AI performance, including meticulously crafted prompt-response pairs and expert demonstrations. Data tailored for specific tasks, such as web browsing behavior, is proving invaluable in enhancing the capabilities of AI agents, particularly those designed for computer use. A recent discussion on Reddit’s r/artificial intelligence community highlights the potential of even existing AI models, such as GPT-3, to achieve substantial improvements simply by being trained on updated and more comprehensive datasets. Learn more from the Reddit discussion here: https://old.reddit.com/r/artificial/comments/1lu2me3/models_will_continue_to_improve_even_if_ai/