Paul Barnhurst explains why confidently stating wrong information is dangerous, using Tesla's revenue sources as an example. He warns against trusting AI tools like large language models without verifying what they tell you.
Just knowing Tesla, 80 to 90% of the revenue comes from automotive. So clearly these numbers are not right. So there's something that's not right. I mean that's what we need to know. So you're right Paul. Maybe this is not even being used or supported and it's just up there. But I think it's very valuable to recognize the danger of trolling the Internet for AI tools because there is stuff out there for free and it will do stuff and maybe you'll find something free but still not good enough and still making mistakes. I think continues to demonstrate that you have to understand what you're doing, what you're looking at. You can't sacrifice your own knowledge and your own skills. You need to able to check validate and it is still basing itself on the same underlying LLMs. Right. So I think you need strong diligence in all this and it was really interesting to see that this is out there.
Trust and Leadership Lessons for FP&A From 100+ Top Leaders with CFO Jon Laudie
