We haven't been offloading thinking. We have been offloading the calculation. Someone had to think to implement a system in the past. The system abided by those constraints, or could be checked against them as it was deterministic (vast majority). AI is non-deterministic and presents a shift to where people are using it like a magic 8-ball to think for them, even if the mechanism is probablistic calculation of word patterns.

The difference between a calculator and an LLM is so obvious that its hard to believe this is a genuine question.

Do you honestly believe that LLMs are just the next incremental improvement on prior technology? It is such a fundamentally new paradigm.

By chopping out the first sentence of the quote, you lose the context of exactly what kind of labor he's talking about. Which is useful if you want to construct a strawman version of his argument by suggesting he might be morally opposed to four function calculators, too, but not so useful if the goal is to engage with the (presumably incomplete) version of his position that the article presents in good faith.

So let's look at that preceding sentence so that we can get a better sense of what kind of labor he was talking about:

> The process and work involved in thinking through situations, through my work, through my ethics, through the way I handle other people, is a key component in being able to develop myself as a moral person.

"thinking through situations", "my ethics", "the way I handle other people", "develop myself as a moral person". This doesn't read to me like he's taking a Butlerian Jihad-type position that humans have a moral responsibility to do their own arithmetic. We're clearly talking about higher-level, more abstract thinking and decision-making that might carry real moral weight.

And that brings us to a difference that I think he might be seeing but that you seemed to be claiming does not exist when you said, "My main issue with these people is that they think AI/LLMs are different than everything that came before them." GPT-style decoder LLMs are the first time we've ever really seen people trying to rely on computers to make abstract and open-ended decisions such as drawing up business plans, drafting memoranda, or doing deep research-type tasks on any sort of scale.

I think that you're probably aware that there is a a noticeable difference between how people are thinking about LLMs now versus how they did back when GPT 2.0 was the latest and greatest. The fact that we can construct a hypothetical continuum of possible models between GPT 2.0 and GPT 3.5 Turbo and suggest that, in this counterfactual scenario, it might not be possible to draw a hard line that cleanly separates the tech itself into two discrete categories, is fundamentally missing the point. His concern was never stated to be about the technology itself; it was about how he was being asked to use it.