The chapter delves into the evolution of AI technology, discussing the origins of transformer technology and its impact on NLP applications, as well as the current state of AI models and the gap between capabilities and aspirations. It explores the relationship between intelligence and language in AI, touching on biases, creativity, and the complexity of human language. The founding story of Cohere, their goals in providing language technology for enterprises, and the challenges of deploying AI in businesses with a focus on control and reliability are also discussed.
Cohere is one of the buzziest AI startups around right now. It's not making consumer products; it's focused on the enterprise market and making AI products for big companies. And there's a huge tension there: up until recently, computers have been deterministic. If you give computers a certain input, you usually know exactly what output you’re going to get. There’s a logic to it. But if we all start talking to computers with human language and getting human language back, well, human language is messy. And that makes the entire process of knowing what to put in and what exactly we’re going to get out of our computers different than it ever has been before.
Links:
Transcript: https://www.theverge.com/e/23937899
Credits:
Decoder is a production of The Verge and part of the Vox Media Podcast Network.
Our producers are Kate Cox and Nick Statt. Our editor is Callie Wright. Our supervising producer is Liam James.
The Decoder music is by Breakmaster Cylinder.
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