Practical AI: Solving Real World Problems

[@tuanelstrom]

according to GPT The history of **generative AI** dates back to the 1950s and 1960s with early artificial intelligence research, especially around symbolic reasoning and neural networks. However, the field took a significant leap in the 2010s, particularly with the advent of **Generative Adversarial Networks (GANs)**, introduced by Ian Goodfellow in 2014. GANs revolutionized generative models by allowing AI systems to create realistic images, videos, and more. Later advances like **transformers** and **language models** such as **GPT** (Generative Pretrained Transformer) further pushed the boundaries, enabling powerful text generation and other creative outputs. LOL

[@answer420]

AI has given me the power to prepare litigation against the world's largest consumer tech company for misappropriating my trade secret design. Without AI I would not have the abilities I have now, especially given the climate of IP litigation and cost.