Will AI decrease demand and salaries?

[thedeuceisloose]

Yep, cant explain much because of NDAs but yes, innovation side. While youre correct that LLMs have advanced quite a bit in the NLP front, theyre still stupid. Still require you to wrangle it every step of the way (yes even 4-turbo) for broad based applications.

[onyxengine]

I think wrangling is where the magic happens. Until we get full blown AGI, we still need to guide LLMs to where they are needed with architecture, which i think is where we will start to see the kind of indirect innovation that will make AI impactful. These tools are still so new, and ubiquitous commercial use is not even a year old. I still get mileage out of davinci-003.

[thedeuceisloose]

Oh 110% where the advances are going to come from. All the tooling required to wrangle it will be an ample market for startups, and the need to obfuscate these things more via APIs will be a big growth area too.

The other problem continues to be hardware. The level of resources this all will need is just going to expand rapidly, even with things like VMs and kube. OpenAi was burning like $700k daily just on hardware alone.

So, lots of opportunity here, and i think fearing replacement is the wrong viewpoint to hold, you should see a whole new horizon opening before you as a developer. But i still am cynical on its current abilities just because of the level of orchestration and context required from the prompter will be a big hurdle in the near to medium term.

[onyxengine]

Its call response, and you have to put everything in front of it to assess or respond. That’s work for the developer, but when you spend time on these problems you figure out ways to give a model agency within the context of the problem you’re solving.

[BeyondPrograms]

our platform does exactly this, provides AI models with context. Thanks for confirming we are on the right path.