![[Review] The Scaling Era: An Oral History of AI, 2019-2025 (Dwarkesh Patel) Summarized.](https://episodes.castos.com/660078c6833215-59505987/images/2660068/c1a-085k3-4771jdo3tvn-qch2ef.jpg)
Show Notes
The Scaling Era: An Oral History of AI, 2019-2025 (Dwarkesh Patel)
- Amazon USA Store: https://www.amazon.com/dp/B0FPMSL47W?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/The-Scaling-Era%3A-An-Oral-History-of-AI%2C-2019-2025-Dwarkesh-Patel.html
- Apple Books: https://books.apple.com/us/audiobook/the-scaling-era-an-oral-history-of-ai-2019-2025-unabridged/id1837544027?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=The+Scaling+Era+An+Oral+History+of+AI+2019+2025+Dwarkesh+Patel+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/B0FPMSL47W/
#Scalinglaws #Largelanguagemodeltraining #AIinterpretabilityandalignment #Artificialgeneralintelligencedefinitions #FrontierAIgeopolitics #TheScalingEra
The Scaling Era: An Oral History of AI, 2019-2025, by Dwarkesh Patel with Gavin Leech, documents the period in which scaling large models became the dominant practical approach to artificial intelligence. Rather than advancing a single authorial argument, it curates and contextualizes interviews from the Dwarkesh Podcast with researchers, founders, forecasters, and critics, including figures associated with OpenAI, Anthropic, DeepMind, Meta, and AI safety research. The book is both an oral history and an accessible technical guide: editorial explanations, definitions, visualizations, essays, and unpublished conversations help readers follow discussions that might otherwise require specialist knowledge. Its purpose is not to settle debates about intelligence, alignment, economic transformation, or artificial general intelligence. Instead, it records how people closest to AI development understood these questions while the capabilities, costs, and stakes of frontier systems were changing rapidly. The result is a snapshot of a field shaped by extraordinary technical momentum and persistent uncertainty.
- Amazon USA Store: https://www.amazon.com/dp/B0FPMSL47W?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/The-Scaling-Era%3A-An-Oral-History-of-AI%2C-2019-2025-Dwarkesh-Patel.html
- Apple Books: https://books.apple.com/us/audiobook/the-scaling-era-an-oral-history-of-ai-2019-2025-unabridged/id1837544027?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=The+Scaling+Era+An+Oral+History+of+AI+2019+2025+Dwarkesh+Patel+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/B0FPMSL47W/
#Scalinglaws #Largelanguagemodeltraining #AIinterpretabilityandalignment #Artificialgeneralintelligencedefinitions #FrontierAIgeopolitics #TheScalingEra
The Scaling Era: An Oral History of AI, 2019-2025, by Dwarkesh Patel with Gavin Leech, documents the period in which scaling large models became the dominant practical approach to artificial intelligence. Rather than advancing a single authorial argument, it curates and contextualizes interviews from the Dwarkesh Podcast with researchers, founders, forecasters, and critics, including figures associated with OpenAI, Anthropic, DeepMind, Meta, and AI safety research. The book is both an oral history and an accessible technical guide: editorial explanations, definitions, visualizations, essays, and unpublished conversations help readers follow discussions that might otherwise require specialist knowledge. Its purpose is not to settle debates about intelligence, alignment, economic transformation, or artificial general intelligence. Instead, it records how people closest to AI development understood these questions while the capabilities, costs, and stakes of frontier systems were changing rapidly. The result is a snapshot of a field shaped by extraordinary technical momentum and persistent uncertainty.
