makes sense, could you elaborate on the complexity? would like to understand what makes it a hard problem, thx!

Good point, raises a very interesting question: if the big websites block agents, won't agents be extremely limited? Should big websites 'charge' agents?

I think this was the case even 6 months ago but now that we have reasoning models I'd expect models can understand a web page and the action to take next no?

Even deepseek r1 (70b) still flubs things ... Maybe if I try 640b but yeah I don't have the ram...

I see so basically saying this problem is too hard for a small team but the big labs will figure it out?

I read it rather that this is an economic question not a technical question.

There's no point working on a 3rd party feature if the OS will have that feature built-in. Economically that greatly reduces the likelihood of a return.

Especially in a market where customers expect, and will continue to expect this for free.

Yup, economics. Dude in the first video got a car for 3 months of work but he has no interest in continuing work on it now that he won.

Dude in the second video is trying to turn it into a startup, because he didn't get rewarded. He built it before Claude & OpenAI did theirs. So individualw can work faster than extremely well paid teams. But apparently people haven't shown that much interest in the product, so his interest is waning in building it.

Thanks for the answers. Even the unexpected patterns like pop-ups etc to me feel pretty structured - I would expect models to generalize and navigate any of them I could see more websites blocking agents in the future but it seems like we're so early that this is not a limiting factor yet

If someone is actively working on this and believes there is a path please reach out to me

Thank you! Chaos looks really nice - would you like to set up a quick call to discuss our respective product approaches? If so feel free to reach out at louis@shelf.so !

Thanks! I am a big believer that "simplicity is the ultimate sophistication" so your feedback is encouraging! Feel free to reach out at louis@shelf.so if you have any suggestion!

Thx! I'd be curious to learn more about your workflow - feel free to reach out at louis@shelf.so

Love Airr! Tried it but did not manage to make it part of my daily routine - the audio highlighting feature somehow did not feel natural to me. However, I was really impressed with all the transcripts they generate - I think those could be super useful for me, once I have finished a podcast and want to retain key insights. Feel free to reach out by email - I'd be curious to learn more about your workflow!