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AI the biggest development in tech since the discovery of Electricity

Here's a brief yet detailed overview of the history of modern AI, tracing its roots from the pivotal 2017 breakthrough (often referred to as the "Transformer revolution") to the present, including the current state of AI and leading companies: 2017: The Transformer Revolution "Attention Is All You Need" (Vaswani et al.), a research paper published by a team at Google Brain, introduced the Transformer architecture. Transformers use attention mechanisms rather than recurrence or convolution, significantly improving NLP tasks. 2018: BERT and Natural Language Understanding Google introduced BERT (Bidirectional Encoder Representations from Transformers), setting a new standard for language comprehension. Demonstrated the power of pre-trained models fine-tuned for specific tasks. 2019: GPT-2 and Generative Models OpenAI released GPT-2, a powerful language generation model capable of generating coherent, long-form text. GPT-2 highlighted potential ethical and social implications, prompting initial concerns about misuse. 2020: GPT-3 and Scaling Up GPT-3 (175 billion parameters) marked a major advancement in model scale and capability, demonstrating remarkable abilities in writing, coding, and reasoning. Prompted widespread public interest and commercialization.