This episode features Aidan Gomez, CEO of Cohere, who argues that AI will generate significant revenue sooner than many expect, particularly for enterprise solutions. Cohere focuses on building AI for large companies, navigating the complexities of integrating natural language processing into business workflows. The discussion highlights the tension between traditional deterministic computing and the probabilistic nature of human language models, and how this impacts business applications of AI.
Key takeaways
Enterprises should focus on AI solutions that bridge the gap between deterministic computing and probabilistic AI to leverage the benefits of large language models for specific business workflows.
Businesses need to prepare for the integration of natural language processing into their operations, acknowledging its inherent 'messiness' while focusing on predictable outcomes for specific use cases.
Consider the commercial viability of LLMs for your business, identifying opportunities for revenue generation through AI-powered products or services, especially in conversational AI and automation.
Stay informed about the ethical considerations and potential risks associated with advanced AI deployment within an enterprise context, including data privacy and bias.
Explore how AI can shift the global economy and re-evaluate your competitive landscape based on early AI adopters and advancements from major tech players.
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: Attention is all you need On the Dangers of Stochastic Parrots Introducing the AI Mirror Test, which very smart people keep failing | The Verge AI isn’t close to becoming sentient | The Conversation These are Microsoft’s Bing AI secret rules and why it says it’s named Sydney | The Verge ‘Godfather of AI’ quits Google with regrets and fears about his life’s work | The Verge Microsoft CTO Kevin Scott on Bing’s quest to beat Google | The Verge Top AI researchers and CEOs warn against ‘risk of extinction’ | The Verge Google Zero is here — now what? | The Verge Cara grew from 40k to 650k in a week because artists are fed up with Meta’s AI policies | TechCrunch How AI copyright lawsuits could make the whole industry go extinct | The Verge 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. Learn more about your ad choices. Visit podcastchoices.com/adchoices
Enterprises should focus on AI solutions that bridge the gap between deterministic computing and probabilistic AI to leverage the benefits of large language models for specific business workflows.
What does this episode say about founder & leadership?
Businesses need to prepare for the integration of natural language processing into their operations, acknowledging its inherent 'messiness' while focusing on predictable outcomes for specific use cases.
What does this episode say about ai & automation?
Consider the commercial viability of LLMs for your business, identifying opportunities for revenue generation through AI-powered products or services, especially in conversational AI and automation.
What does this episode say about ai & automation?
Stay informed about the ethical considerations and potential risks associated with advanced AI deployment within an enterprise context, including data privacy and bias.
What does this episode say about ai & automation?
Explore how AI can shift the global economy and re-evaluate your competitive landscape based on early AI adopters and advancements from major tech players.
