Chapter
The Evolution of Application Layers in AI Systems
42:31 - 57:29 (14:57)
The evolution of application layers in computing has enabled the synthesis and representation of data through AI and machine learning systems, leading to the ability to resolve user objectives through the modeling of the data. Businesses can benefit from this model by utilizing novel data to build new models or systems, giving them an advantage in their respective fields, such as biotech and pharma for drug discovery.
Clips
The technology of AI and machine learning has made significant progress with tools such as PieTorch and TensorFlow, however, companies such as Google and Facebook need to release their products publicly to ensure that developers can test their products with ease and efficiency.
42:31 - 46:38 (04:07)
Summary
The technology of AI and machine learning has made significant progress with tools such as PieTorch and TensorFlow, however, companies such as Google and Facebook need to release their products publicly to ensure that developers can test their products with ease and efficiency.
ChapterThe Evolution of Application Layers in AI Systems
EpisodeE111: Microsoft to invest $10B in OpenAI, generative AI hype, America's over-classification problem
PodcastAll-In with Chamath, Jason, Sacks & Friedberg
This podcast explores the legal implications of using Yelp data for chat GPT, since it could potentially deprive the copyright owner of income, and discusses the challenges of building large corpuses of data for chat GPT.
46:38 - 52:22 (05:44)
Summary
This podcast explores the legal implications of using Yelp data for chat GPT, since it could potentially deprive the copyright owner of income, and discusses the challenges of building large corpuses of data for chat GPT.
ChapterThe Evolution of Application Layers in AI Systems
EpisodeE111: Microsoft to invest $10B in OpenAI, generative AI hype, America's over-classification problem
PodcastAll-In with Chamath, Jason, Sacks & Friedberg
The use of AI and machine learning in computing has allowed for the synthesis of data and representation of that data to the user in a way that fundamentally changes business models.
52:22 - 57:29 (05:06)
Summary
The use of AI and machine learning in computing has allowed for the synthesis of data and representation of that data to the user in a way that fundamentally changes business models. The ability to use novel data has become a competitive advantage in fields such as biotech and pharma for tasks such as drug discovery.