{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Thinking Makes It So","title":"October 24: The patent behind the T in GPT","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/fdf3601f\"></iframe>","width":"100%","height":180,"duration":777,"description":"Jon and Catie walk through US Patent 10,452,978, Google's patent on the transformer, the design behind the T in GPT. Starting from what a neural network is, they build up to what claim one covers, what the dependent claims add, and four drafting lessons for anyone patenting artificial intelligence.\r\n\r\nSources:\r\nUS 10,452,978 B2, Attention-based sequence transduction neural networks: https://patents.google.com/patent/US10452978B2/en\r\nClaims of US 10,452,978: https://patents.justia.com/patent/10452978\r\nUS 12,217,173 B2: https://patents.google.com/patent/US12217173B2/en\r\nAttention Is All You Need (arXiv, version 1): https://arxiv.org/abs/1706.03762v1\r\nGenerative pre-trained transformer (Wikipedia): https://en.wikipedia.org/wiki/Generative_pre-trained_transformer\r\n\r\nRead the article: https://burbagelaw.com/podcast.html\r\n\r\nNarrated with the assistance of AI. Nothing in this podcast is legal advice.","thumbnail_url":"https://img.transistorcdn.com/Tj0jgdq-8N-yIwTpxVtvfZh3bDBXinEYJfSSBRBkgKE/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84Yjcy/NDVkYzg0MTViMjEw/ZmYwMWEzMjAxYmFk/MjcwZS5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}