[rlanday]

> SOTA models are already capable of outperforming any human on earth in a dizzying array of ways, especially when you consider scale.

So why are so many people still employed as e.g. software engineers? People aren’t prompting the models correctly? They’re only asking 10 times instead of 20? They’re holding it wrong?

[K0balt]

Long form engineering tasks aren’t doable yet without supervision. But I can say in our shop, we won’t be hiring any more junior devs, ever, except as (in my region, free) interns or because of some extraordinary capabilities, insights, or skills. There just isn’t any business case for hiring junior devs to do the grunt work anymore.

But, the vast majority of work that is done in the world is not in the same order of magnitude of complexity or rigor that is required by long form engineering.

While models may not outperform an experienced developer, they will likely outperform her junior assistant, and a dev using ai effectively will almost certainly outperform a team of three without ai, in most cases.

The salient fact here is not that the human is outperformed by the model in a narrow field of extraordinary capability, but rather that the model can outperform that dev in 100 other disciplines, and outperform most people in almost any cerebral task.

My claim is not that models outperform people in all tasks, but that models outperform all people at many tasks, and I think that holds true with some caveats, especially when you factor in speed and scale.

[naveen99]

What does junior or senior have anything to do with it ? I would think a smarter junior will run circles around a dumber senior engineer with LLM autocomplete.