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DriftingKing t1_j5wmnak wrote

Very short lived job. AI models are improving rapidly and complex prompting will be a thing of the past.

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KDamage t1_j5ya09t wrote

While I do agree, if we switch the role from getting results to training the model, the job of engineering the right prompt to get the right result is simply called an annotator (which is how AIs are currently refined).

So I'd say it would not be a short lived job, just a multi purpose one at first, slowly switching to model training over time. Just like how a lot of data scientists have slowly switched from model research to data cleaning. (the above is indeed a personal opinion, not a prediction)

More concisely, I think any job that relates to training/refine AIs, may it be by deeply annonating or extensively using it, is a job of the future.

example : a picture generation AI service, hiring an expert in Art History from the romanticism era to create high quality skills in that domain, with the right prompts and corrections in the shortest time. An AI teacher, to put it more simply.

example 2 : a very highly ranked competitive FPS gamer to play extensively with an AI, which would be included as a coop bot in an upcoming FPS.

The choice of the teacher could even be part of the company branding : Company A capitalizing on offering bots or NPCs "inspired by the famous ProGamer69 style", Company B "inspired by the even more famous Crusher69". etc

Right now we are at the infancy of AI creation, but I think we'll soon enter into the identity crafting era, with several products declining the same AI model source, upon different pre-trained sub-expertises. This will be very interesting.

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czk_21 t1_j5yyt4l wrote

yes, prompts can be simpler and you dont need to be some kind of professional to make a decent prompt even these days-most ppl can do this quite quickly+ you can ask for help chatGPT to write some more complicated prompts....

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The_Red_Grin_Grumble t1_j5x15tv wrote

Likely not, just how knowing how to use a search engine well has advantages but there was never a job for someone who just used Google.

Knowing how to create good prompts for specific AI though will set you a part in your given industry. I would argue that is already in its early stages.

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sopmac21379 OP t1_j5x9l7u wrote

The general Google search analogy is correct and a potential fate that prompt engineering may succumb to. Though knowing how to create Google search queries is a differentiator in software engineering today, just not its own job category.

Another analogy worth consideration is that of SQL and the database. Prompt engineering could become the "SQL" for large language models who are exposed as APIs--like the OpenAI API, which lets you programmatically access GPT-3 via prompts.

Am interested in seeing how many startups are created as convenient interfaces on top of the OpenAI API now that ChatGPT awareness has rapidly spread.

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frequenttimetraveler t1_j5z8ax1 wrote

It's in their name, they are called "Language models" for a reason. They understand language and they are only going to get better and better from here on. Only a person who does not speak a human language will need help with them .

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[deleted] t1_j5x0fq2 wrote

Nope, Every time you enter a prompt and make a selection you are training an AI to prompt itself. That coupled with real instantaneous analysis of the internet will make prompting totally automatic.

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quantumpencil t1_j5xwhj1 wrote

Every single one of you is over-estimating what LLMs are actually going to be able to do in the next decade.

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frequenttimetraveler t1_j5z6ypw wrote

In some things. but most likely they will be a big part of the AI deployment in business

We are also overestimating the importance of the work that people do today in their job. Most jobs are bullshit jobs, and AI can call that bullshit.

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stupidimagehack t1_j5x6wtc wrote

Lol future careers… game feels over to me. Would love to be wrong. Someone tell me an intellectual based career that will withstand the inevitable progress of AI.

Somewhere policy wonks are quickly looking for an exit

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gte959f t1_j5z5dth wrote

How many of these comments were written by chatgpt?

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frequenttimetraveler t1_j5z6m5g wrote

Eh , no, this is just a temporary thing as the technology is being devleoped. Despite the fact that OpenAI is already selling their APIs, this is not teh final form of the tech, not even a mature form.

btw don't post Medium articles. I m not signing up just to read posts by bloggers who cant even set up their own blogs

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icebeat t1_j60o3ng wrote

The future career will be plumbers, no AI will do it

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MpVpRb t1_j61d3w0 wrote

No

The tools will evolve and engineers of the future will figure out ways to use them.

This silly hype reminds me of the age-old attempt by managers to replace programming languages with plain English. They've been trying since the 60s. COBOL is a very verbose programming language that was intended to allow managers to write code. It didn't work. COBOL programs are just as hard to write as any software

Changing the programming language doesn't change the complexity of the problem or the complexity of the solution. Hopefully, the new tools will help us understand and manage the complexity

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sopmac21379 OP t1_j5wghh3 wrote

It is difficult to predict exactly how the job market will evolve over the next five years, but it is likely that the role of a prompt engineer will continue to be in demand as the use of large language models becomes more widespread in various industries. With the increasing interest and development in natural language processing, machine learning, and artificial intelligence, there is a growing need for experts who can design and craft prompts that can harness the power of these models to solve real-world problems.

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Solid_Rice t1_j5z82yi wrote

CEO: Get me an engineer with the best prompts!

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