[iLoveOncall]

> current models have almost 100% success rate on tasks taking humans less than 4 minutes

The contrary is easily verifiable by everyone individually. It's nowhere near 100%, or even 50% for few minutes tasks even with the best models in real world situations.

[ben_w]

I've only noticed that combination (failure of short everyday tasks from SOTA models) on image comprehension, not text.

So some model will misclassify my American black nightshade* weeds as a tomato, but I get consistently OK results for text out from good models unless it's a trick question.

* I recon, at least; looked like this to me: https://en.wikipedia.org/wiki/Solanum_americanum#/media/File...

[iLoveOncall]

The research from Metr, and my comment, is exclusively related to software development tasks.

[ben_w]

Re-reading my comment, I realise I missed the most important part, the question.

What examples can you give of "real world situations" where they fail?

Obviously I don't want to use them for whatever that is.