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/machinelea

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.