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by twobitshifter 846 days ago
I would extend that from engineer to knowledge professionals in general. Our specialized tools, strange syntaxes, and invented worlds of code may shield us somewhat, but when you just want expertise and opinion typed out? That’s firmly in the LLM ballpark. LLMs are starting to nail memorization with perfect recall, beating humans. My own memories are always fuzzy and I need emails and notes and books to help me along. An LLM won’t need all that and even if it did it can access all of that much quicker than I.
1 comments

I'm a "KM" "SME" and I can tell you that there is no doubt that every productivity gain in the last year has been $bigcorp employees feeding pseudo-anonymized business requirements and contexts into ChatGPT.

OpenAI + any half-assed data broker could easily infer the company, as I am sure they have already done.

All hail Microsoft, I am glad I chose the right AI megacorp overload early.

Have there been any measurable productivity gains in the past year?
Glueware and CRM people have been awfully productive, as it's a race to the bottom at this point.

You either let a robot tell you how to do your job better, or someone else will.

How do you know? Can we actually see that increased productivity in any objective economic metrics?
A collection of anecdotal evidence and a nearly in-explainable increase in "trivial" software middle-ware tasks that had been dormant until GPT arrived.

Now that the means, motive, and opportunity are there, combined with the a general uneasiness regarding employment opportunities, gains have definitely been on a sharp uptick.

Whether that's a first-order effect of people using generative models or a second-order effect of people believing they will be replaced by those who do; either way, the pressure is real, and the gains are material.

It may take a larger timespan and more samples, but I have little doubt middleware and other glueware is being rapidly "no-coded" by GPT models on the private computers of contractors.