[TeriyakiBomb]

It tends to be when the training data wanders into their area of expertise temporarily and they go “OMG, they hype is real. I was so wrong” and then a few releases later they’re on the train and furious that the skills in their domain space have not just stopped improving, but regressed. Cue someone else in a different part of the world starting the same cycle.

Meanwhile the guy who leaned in a year ago and gave up reading the output is beginning to see work grind to a halt and throwing more agents at it is increasingly not working.

You can see these tropes all over social media near constantly.

[Kiro]

> You can see these tropes all over social media near constantly.

You should stop using social media as your yardstick.

[wolvesechoes]

> You should stop using social media as your yardstick.

Yes, don't believe people posting on HN.

[simianwords]

What about terry tao?

[wolvesechoes]

Who?

But in all seriousness - you can even bring up Pope himself. Don't care. Show me data, show me the leaps our software made with all this 100x productivity boost. Show me a myriad of better LLVM projects, new usable kernels, and so on. Show me sharp decline in bugs and defects in existing projects.

Keep blog posts and HN comments.

[simianwords]

Do you want a graph of exploits found vs time? Erdos problems solved vs time?

[TeriyakiBomb]

This is entirely my point. Observing reality, you can see how little impact any of this is truly having. Decision making, communication and alignment is not helped at all by LLMs, it’s just leaving developers with more laundry.