[TFNA]

I don't code (well, I write scripts for my own personal use and use Emacs), but I follow with interest these reports from software developers. Why? Because my profession is similar screen- and keyboard-based intellectual work, and what has come for devs will probably come for many other careers.

[raddan]

It's worth mentioning that one reason LLMs can clean up on coding tasks is because of the volumes of available data. Not only has the world produced copious volumes of code, they continue to produce copious volumes of code, and some code can even be generated synthetically (ie, not from an LLM, albeit at high cost).

Other domains are not like this. There will probably never be enough poetry out there to make an LLM do anything but be a poor imitation of a poet. This data is extremely hard to generate.

[varjag]

Coding with agents has also entered a positive feedback loop with million developers essentially paying to perform RL on frontier models.

[ffsm8]

Urm, isn't that a terrible example? LLMs are better at poetry and rhyming then most people trying their best...

Also you're thinking with an extremely short time horizon there.

All jobs which are centered around computers will be impacted the same way programming is today in the medium term. It's just a question of time until the data is gathered and tooling is adjusted. Because every company that's currently employing people to do something with software will start to use that data as training material, and a few years later they'll be swallowed along.

So that means eg bookkeeping is still safe... I sincerely doubt it'll be like that in 2035. It'll probably still be somewhat safe in 2030 though

I suspect most industries aren't quiet filled with people like the author though, most people treat their job as... Well, a job.

[llmthrowaway20]

This is a wild take. Of all things, you think a large language model will be stumped by poetry?

I would wager everything I had that an AI could already win a blind poetry contest, especially if any effort was put into fine-tuning it. Unbelievable effort has been put into optimizing them for coding given the financials; next to none for poetry.