Yeah. It’s not some magic money printer. It’s got use cases and it’s got abuse cases.
Lots of companies finding out expensive lessons on which is which.
LLMs aren’t going to replace a workforce, isn’t going to maintain your entire enterprise stack, and isn’t going to be able to handle the bulk of your CSR work.
But there sure are lots of people blowing millions trying to see if they can be the “one off” from everyone else who failed.
Yeah. It’s not some magic money printer. It’s got use cases and it’s got abuse cases.
Lots of companies finding out expensive lessons on which is which.
LLMs aren’t going to replace a workforce, isn’t going to maintain your entire enterprise stack, and isn’t going to be able to handle the bulk of your CSR work.
But there sure are lots of people blowing millions trying to see if they can be the “one off” from everyone else who failed.
In a company with 100 engineers, AI replaces some as tasks are fullfilled faster.
Well, ideally that would mean you are able to increase production with the same people and produce more for the same budget. Not cut heads.
Most companies don’t have any engineers and just glue everything together in Salesforce and Excel.