Never met one I would consider intelligent. They tend to excel at being related to people who own the company or kissing ass. Neither of of which takes that much brains.
Idk, the ceo of my previous company was pretty intelligent. Taught himself software and built the company from the ground up. A bit too much into Jesus for my taste, but a good guy.
rehire h1b visa, for less benefits and salary you mean. this was always the endgame. maybe keep around some token more experienced citizens for good pr, more experienced as in the senior more technical staff that keeps everything from falling apart. healthcare is basically a skeleton crew in more specalized things labs.
That is probably true in many case, buy to be fair there are some jobs that have had huge impacts due to LLM’s, like translation.
These jobs have been changing quite a lot before this AI bubble mainly because advances in speech-to-text, but I see the LLM’s as final step. The translator need doesn’t fully disappear, but the workflow changes quite drastically and some labor heavy parts are going away.
Note: I am not talking as AI being some hype AGI, just the LLM tech, which is basically advanced auto complete.
At my work we just did a project that included translating a website for multiple regions for a company. We used a translation service that doesn’t use humans. The Belgian, Dutch, German, French, and Italian teams complained that the translation was extremely weird and they had to manually overwrite the automated translations for the majority of the site (at least dozens of thousands of words) before launch.
Using a bad translation/transcript as base for professional translator is still better than nothing. Like I said, translators are still going to be needed, but lots of the heavy manual work can be now automated.
Also often when very domain specific language is used, the translation made by human can be bad, because they don’t know the proper terms. Of course good professional translators will ask these. It is also something that must be done with these dummy LLM models, you cannot just throw text into it and expect good results.
Next year — the summer of rehires after CEOs learn employees can’t really be replaced by AI.
It’s just a pretense to layoff staff and squeeze the remaining employees for more juice. They know it doesn’t work
I don’t know. Some CEOs are pretty stupid
Some?
Never met one I would consider intelligent. They tend to excel at being related to people who own the company or kissing ass. Neither of of which takes that much brains.
Idk, the ceo of my previous company was pretty intelligent. Taught himself software and built the company from the ground up. A bit too much into Jesus for my taste, but a good guy.
rehire h1b visa, for less benefits and salary you mean. this was always the endgame. maybe keep around some token more experienced citizens for good pr, more experienced as in the senior more technical staff that keeps everything from falling apart. healthcare is basically a skeleton crew in more specalized things labs.
Mass layoff, hire starving replacements cheaply
That is probably true in many case, buy to be fair there are some jobs that have had huge impacts due to LLM’s, like translation.
These jobs have been changing quite a lot before this AI bubble mainly because advances in speech-to-text, but I see the LLM’s as final step. The translator need doesn’t fully disappear, but the workflow changes quite drastically and some labor heavy parts are going away.
Note: I am not talking as AI being some hype AGI, just the LLM tech, which is basically advanced auto complete.
At my work we just did a project that included translating a website for multiple regions for a company. We used a translation service that doesn’t use humans. The Belgian, Dutch, German, French, and Italian teams complained that the translation was extremely weird and they had to manually overwrite the automated translations for the majority of the site (at least dozens of thousands of words) before launch.
We’re still a ways off, judging by that anecdote.
Using a bad translation/transcript as base for professional translator is still better than nothing. Like I said, translators are still going to be needed, but lots of the heavy manual work can be now automated.
Also often when very domain specific language is used, the translation made by human can be bad, because they don’t know the proper terms. Of course good professional translators will ask these. It is also something that must be done with these dummy LLM models, you cannot just throw text into it and expect good results.
I mean - eventually they will. But how long can the CEOs hold off waiting for it?
Not long if the line’s gotta go up and there are shareholder dick’s going soft.
AGI is gonna happen any minute now. Just like Tesla’s full self driving.
Self driving?? How can they focus on that when they’re colonizing Mars by 2025?? /s