The question being - are LLMs 'good' at interpreting and making choices/decisions about data structures and relationships?
I do not write code for a living but I studied comp sci. My impression was always that the good software engineers did not worry about the code, not nearly as much as the data structures and so on.
The only use of code is to process data, aka information. And any knowledge worker that the success of processing information is mostly relying on how it's organized (try operating a library without an index).
Most of the time is spent about researching what data is available and learning what data should be returned after the processing. Then you spend a bit of brain power to connect the two. The code is always trivial. I don't remember ever discussing code in the workplace since I started my career. It was always about plans (hypotheses), information (data inquiry), and specifications (especially when collaborating).
If the code is worrying you, it would be better to buy a book on whatever technology you're using and refresh your knowledge. I keep bookmarks in my web browser and have a few books on my shelf that I occasionally page through.
"But translating my prompts to code is not working as well, because my prompts are in natural languages, and hence ambiguous."
Not only that, but there's something very annoying and deeply dissatisfying about typing a bunch of text into a thing for which you have no control over how its producing an output, nor can an output be reproduced even if the input is identical.
Agreed natural language is very ambiguous and becoming more ambiguous by the day "what exactly does 'vibe' mean?".
People spoke in a particular way, say 60 years ago, that left very little room for interpretation of what they meant. The same cannot be said today.
> People spoke in a particular way, say 60 years ago, that left very little room for interpretation of what they meant. The same cannot be said today.
Surely you don’t mean everyone in the 1960s spoke directly, free of metaphor or euphemism or nuance or doublespeak or dog whistle or any other kind or ambiguity? Then why are there people who dedicate their entire life to interpreting religious texts and the Constitution?
" There's still decades worth of progress to be made this way."
That's not true. Moreover the progress can slow to a crawl where it's barely noticeable. And in that world the humans continues to stay ahead - that's the magic of humans. To be aware of surroundings and adapt sufficiently whilst taking advantage of tools and leveraging them.
This is an interesting theoretical statement that does not survive a collision with reality. The long-tail expert RHLF training is effective. We have seen significant employment impact to call center employees. This does not mean its progress will be cheap or immediate.
Many people I know initially used ChatGPT for awhile. Then after awhile they went to Gemini. Again stuck with it for awhile. And now are dabbling with Claude.
Yep there really is no switching cost it seems.
People generally want something from a model and then leave. I think people are sub-consciously forming relationships with Tech firms such that they do not care about them, and its all about what the user themselves gets. Generally there is no attachment. There's some examples of psychotic stuff but that's thankfully the exception not the norm.
That's why Apple cares deeply about its brand - it doesn't want to fall into that group of firms.
The professional typist' role evolved - to serving through other ways, as you say - by become executive assistants. Much like a Bank Tellers' role also evolved.
And its not because they (executives) are too lazy to type. They actually need people to manage their calendar, monitor emails etc. Moreover, the personal computing revolution led to an expansion of firms that needed more of said people.
Could this be disrupted by things like OpenClaw? Maybe. Personally I doubt it. Trust is a huge element that LLMs have yet to overcome and may never over come. Its the same reason Apple pulled "Apple Intelligence". I know this place is full of doom and gloom, but I am not a SWE by trade so I can see the bigger picture and not get bogged down by the fact it might affect my income.
Moreover, work is more 'fun' with people around. So to you it may seem irrational to keep employed for that basis (call it Culture) but to others, and in particular the executive class - nope. People will start realising things like this once the hysteria dies down.
The "role" might have evolved, but the jobs disappeared. There are, what, maybe two or three orders of magnitude fewer "executive assistants" than there were typists in the 70's? I was making an argument about economics, not job classification.
Ermm.. of course they will. And deservedly so. Perhaps the AI Ceo's will learn the harsh lesson that Government is king, no matter what, and doesn't care about your on-paper-based wealth.
Any party that puts this forward in their manifesto will win.
Is this rocket science?
I've interacted with numerous politicians - all they care about is there own interests lmao. They will work with you until it no longer benefits them.
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