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It's time to become an ML engineer (2022)

blog.gregbrockman.com

31–40 of 53 posts

Re: It's time to become an ML engineer (2022)

#33
post #3

Nearly two years on from this article's publication, 'AI' tools are still as useless as ever for productive work.

They can be incredibly useful for many kinds of knowledge work. I've been much more productive using LLMs than before. I'm at the point where I dont know how I ever managed without.

Can you even call it "knowledge work" then?

Re: It's time to become an ML engineer (2022)

#34
post #3

Nearly two years on from this article's publication, 'AI' tools are still as useless as ever for productive work.

> Nearly two years on from this article's publication, 'AI' tools are still as useless as ever for productive work.

Fully disagree. When developing I use llm's all the time. its far quicker for me to ask an llm to build a react component than for me to type it and have to remember all the little nuances for a technology I use a couple of times a year.

When proto typing things or doing quick one offs, using an LLM makes me 10x more productive.

Re: It's time to become an ML engineer (2022)

#35
post #4
post #3

Nearly two years on from this article's publication, 'AI' tools are still as useless as ever for productive work.

Curious to hear what kind of work you do. Because there are definitely fields where productivity as 10x'd because of AI tools.

Yep, I think this is definitely the case for e.g. software engineering.

Re: It's time to become an ML engineer (2022)

#37

Earlier quoted context omitted.

They can be incredibly useful for many kinds of knowledge work. I've been much more productive using LLMs than before. I'm at the point where I dont know how I ever managed without.

Can you even call it "knowledge work" then?

the difference is that before LLMs you had to use search to find answers to unknowns. The productivity boost of knowing everything immediately doesnt fundamentally change the work itself. I understand over reliance might become problematic at some point. My solution to that would be a bunch of GPUs so I have an R1 locally, anytime. the future is here, some people just havent noticed.

Re: It's time to become an ML engineer (2022)

#40
post #22
post #3

Nearly two years on from this article's publication, 'AI' tools are still as useless as ever for productive work.

Chatgpt is really good at small throwaway scripts to accomplish some task that could have taken a good portion of the day to write up otherwise (almost always gets the code right on first try)

It can add usability features pretty well too. "Look at the variables in the script and add a feature to accept them as command line arguments and environment variables. Make the CONTENT variable mandatory."

They are also pretty good at software translations nowadays. You can give them a yaml file and they know what's a variable or placeholder and what's text to be translated.

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