> Right now most corporations do not have their data organized and structured well enough for this to be possible, but there is a lot of heat and money in this space.
I think you misunderstand what I'm saying. I'm not really referring to data systems at all, I'm referring to context on what problems are actually being solved by a business. LLMs very clearly do not model outcomes that don't have well-defined textual representations.
I'm not sure that I agree with white collar jobs being done for, not every process has as little consequence to getting it wrong as (most) software does.
> I think you misunderstand what I'm saying. I'm not really referring to data systems at all, I'm referring to context on what problems are actually being solved by a business. LLMs very clearly do not model outcomes that don't have well-defined textual representations.
Yeah i misunderstood your point, i completely agree with what you are saying.
I honestly do not believe that strategy, decision making and other real life context dependent are going to be replaceable soon (and if it does, its something other than llms).
> I'm not sure that I agree with white collar jobs being done for, not every process has as little consequence to getting it wrong as (most) software does.
Maybe im too biased due to working in a particularly inefficient domain, but you would be surprised how much work can be automated in your average back office.
Much of the operational work is following set process and anything out of that is going to up the governance chain for approval from some decision maker.
LLM based solutions actually makes less errors than humans and adhere to the process better in many scenarios, requiring just an ok/deny from some human supervisor.
By delegating just the decision process to the operator, you need way less actual humans doing the job. Since operations workload is usually a function of other areas, efficiency gains result in layoffs.
> Maybe im too biased due to working in a particularly inefficient domain, but you would be surprised how much work can be automated in your average back office.
> Much of the operational work is following set process and anything out of that is going to up the governance chain for approval from some decision maker.
Oh that's very interesting! Thank you for the insights!
I think you misunderstand what I'm saying. I'm not really referring to data systems at all, I'm referring to context on what problems are actually being solved by a business. LLMs very clearly do not model outcomes that don't have well-defined textual representations.
I'm not sure that I agree with white collar jobs being done for, not every process has as little consequence to getting it wrong as (most) software does.