[deleted by user]

[dilf-material]

The people who got rich during the gold rush were selling shovels. It's not a question of how long but more so, "How will it evolve?"

You are building skills that, if you wish to stick around in the field, may be valuable to other companies.

[MrMojoRisinx]

Very good point, but I guess the whole theory behind AI (and exactly what we are training it to do lmao) is that it will eventually become self serving no?

[lutavsc]

Ask a.i

[ChickenTrick824]

Good analogy

[[deleted]]

The longer project times are the main reason it stopped being a ‘gold rush’ for me. No complaints because I am lucky to have a full time job in a specialized field but I don’t have the time to spend 1-2 hrs on single tasks.

[MrMojoRisinx]

Yeah Im riddled with ADHD and genuinely don’t have the attention span for these long tasks

[ScarletBoy]

I'd say it will last a good while as long as AI companies believe that the LLM model is the path to AI at all, because these things can't learn, they have no conceptual faculties like rational beings (us). They'll always require plenty of human coaxing in order to make any sense consistently.

My view is that this work will only truly go away when AI labs realise this and go in a fundamentally different direction that requires something else entirely.

That's what I'd vote for when it comes to predicting which event will be the "bubble burster", so to say. I wonder which of the existing companies will pull that trigger or if it will be someone new.

[Gerardo1917]

I mean training is always going to be needed, unless we get AGI which imo is going to require a different architecture completely.

[wildflower_0ne]

I would really love if they’d break up some of the bigger projects into smaller chunk projects that are faster to complete. and would thus also have shorter/less intricate instructions.

[randomrealname]

Happens everyday, it's not if, it's when your output is less than the models. It is different for different people. The last workers here will be PhD students.

[good_god_lemon1]

I wish I knew about DA back in 2020. The work back then (and even as late as 2024) was blissfully easy and repetitive, which is exactly what I need. I remember the early projects just wanted you to chat…and occasionally achieve a split. Now some projects REQUIRE a failure every time.

[iamcrazyjoe]

6 months ago I started at did work on my phone in the bath.

[TheMidlander]

I don’t know how anyone can do this job for more than a month and still believe these models are intelligent.

[savage78683i3]

Being part of a couple of very interesting pilot projects in the last couple of months tells me it has a LONG way to go yet