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Getting realistic about AI’s potential with Nick Frosst from Cohere
Manage episode 432842698 series 2909796
Enterprise AI is booming so it’s no wonder that, as companies figure out how to implement it, the industry of AI infrastructure is emerging. This week Becca and Dom talk to Nick Frosst from Cohere, the AI company building natural language models for enterprise customers. They discuss why Frosst thinks the AI boom isn’t built on a bubble, whether or not AI companies are building toward a “digital god”, and how AI regulation could be a good thing.
(0:00) Introduction
(6:15) Enterprise applications for AI language models
(12:12) Building multilingual models
(14:58) Fundraising and the AI bubble
(19:46) AI and sustainability
(25:14) Building the Cohere team
(29:44) Host discussion
Found posts every Tuesday. Subscribe on Apple, Spotify or wherever you listen to podcasts to be alerted when new episodes drop. Check out the other TechCrunch podcast: Equity . Subscribe to Found to hear more stories from founders each
Connect with us:
186 つのエピソード
Manage episode 432842698 series 2909796
Enterprise AI is booming so it’s no wonder that, as companies figure out how to implement it, the industry of AI infrastructure is emerging. This week Becca and Dom talk to Nick Frosst from Cohere, the AI company building natural language models for enterprise customers. They discuss why Frosst thinks the AI boom isn’t built on a bubble, whether or not AI companies are building toward a “digital god”, and how AI regulation could be a good thing.
(0:00) Introduction
(6:15) Enterprise applications for AI language models
(12:12) Building multilingual models
(14:58) Fundraising and the AI bubble
(19:46) AI and sustainability
(25:14) Building the Cohere team
(29:44) Host discussion
Found posts every Tuesday. Subscribe on Apple, Spotify or wherever you listen to podcasts to be alerted when new episodes drop. Check out the other TechCrunch podcast: Equity . Subscribe to Found to hear more stories from founders each
Connect with us:
186 つのエピソード
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