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AI summary:
In the past decade, AI has rapidly evolved, achieving feats like surpassing human abilities in games, image recognition, and speech. Progress is driven by increased computing power, more data, and improved algorithms. Moore's Law has lowered the cost of computing, enabling larger models. Companies invest heavily in training AI models, while AI developers tap into vast amounts of data to improve accuracy. Algorithmic advancements make better use of resources, compensating for limitations. Experts predict AI progress will persist due to growing compute, efficient data use, and algorithmic innovation. Concerns arise about misuse and potential havoc in fields like cybersecurity and biology as AI knowledge becomes more accessible.
seems to completely ignore that lack of regulation on AI watermarks (outside of China). All future datasets will be polluted with AI output, worsening accuracy. The more "AI" (large language models) grow as a field, the worse the problem will get