[DrAwdeOccarim]

I work in biotech and at my company, specifically our CEO, for over a decade has constantly asked all of us, "How are you leveraging AI in your job?". So much so that we used to joke about it. Well, when ChatGPT arrived, something happened. Everyone at the company (now about 5000 people) were already primed, looking for how they could finally answer "Yes" to our obsessive CEO. We have a deep roster of professional software engineers, and one dev in particular hacked out an internal site that leveraged the OpenAI API and deployed it company wide. Last count, a majority of the company uses it daily. What my team specifically has found is that building custom GPTs and working out detailed, two-way prompts, has allowed us (and specifically my part-time employee) to deliver detailed technical reports commensurate to an FTE. The key is to force the output to "show it's work" and to expect to review similar to how you would work with a first year graduate student. If you do the math, this puts the company above it's FTE cost in terms of per employee output. That's the real ticket right now. It's not inventing the next drug, but it sure as hell is making me more productive without causing burn-out. It works really well also at meeting minutes, a huge source of time-waste for project managers who should be doing high-thought work instead of menial tasks.

So to answer your question: become reliant on it. This is the future of white-collar work. Local instances are catching up to the big ones. It's only going to get better!

[imdsm]

This is absolutely it. As a professional, GPT-4 is a force multiplier. It allows me to do much more than I could without it. I don't work in any restricted orgs so I fully embrace -- become reliant -- upon it.

It is the same as typing rather than handwriting. I can still write with a pen, but it'd take me a lot longer to write a letter than typing one.

[DrAwdeOccarim]

Good analogy. It’s a tool. Sure, you could wash your clothes by hand, but a washing machine frees your time to do things that technology can’t scale (yet!).

[nunez]

idk examples like these make it seem like big LLM is going to significantly lock out junior engineers from tech while also giving a single company way more power over the web than ever before before

[DrAwdeOccarim]

I thought this at first, but the open source models are no joke: https://venturebeat.com/ai/mistral-ceo-confirms-leak-of-new-...

[dns_snek]

> become reliant on it

This is terrible advice. To be reliant on something is to be helpless when that thing stops working or is taken away. That's never a smart thing to do willingly, never mind enthusiastically.

By all means, learn how to leverage it productively, but be mindful not to become reliant on it.

[DrAwdeOccarim]

I emphatically disagree, but I appreciate that you may feel there is a requirement for a certain amount of time to pass before becoming reliant on any new technology.

[fragmede]

So make sure it keeps working and isn't taken away. LLMs aren't going away. I'm reliant on my car to get to work. I don't have back up car just in case.

[aragilar]

But you have insurance right? Does that include a temporary one while it's being fixed? If so, you do have a back up car.