Aidan Gomez, CEO of Cohere, reveals how they're tackling AI hallucinations and improving reasoning abilities. He also explains why Cohere doesn't use any output from GPT-4 for training their models. Aidan shares his personal insights into the world of AI and LLMs and Cohere's unique approach to solving real-world business problems, and how their models are set apart from the competition. Aidan reveals how they are making major strides in AI technology, discussing everything from last mile customer engineering to the robustness of prompts and future architectures. He also touches on the broader implications of AI for society, including potential risks and the role of regulation. He discusses Cohere's guiding principles and the health the of startup scene. With a particular focus on enterprise applications. Aidan provides a rare look into the internal workings of Cohere and their vision for driving productivity and innovation. https://cohere.com/ https://x.com/aidangomez Check out Cohere's amazing new Command R* models here https://cohere.com/command Pod: https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/Aiden-Gomez---CEO-of-Cohere-AIs-Inner-Monologue--Crucial-for-Reasoning-e2lf8fg TOC: 00:00:00 Intro 00:01:48 Guiding principles of Cohere 00:02:31 Last mile / customer engineering 00:04:25 Prompt brittleness 00:06:14 Robustness and "delving" 00:10:12 Command R models and catch up 00:12:32 Are LLMs saturating / specialisation 00:16:11 Intelligence 00:21:28 Predictive architectures, data vs inductive priors 00:25:55 Agentic systems 00:28:11 Differentiation 00:33:35 X-Risk / Bostrom 00:39:30 Changing relationship with technology 00:45:08 Policy 00:49:01 Startup scene 00:52:44 Biggest mistake? 00:53:50 Management style 00:56:38 Culture in different Cohere offices? Disclaimer: This is the second video from our Cohere partnership. We were not told what to say in the interview, and didn't edit anything out from the interview.