A ticket tracker, like any collaborative tool, is inherently Web-based. The question is how much latency the app adds on top of the network, and by that metric I bet Linear does well.
> I don't think my actual cognitive skills have declined by using AI
I'm not speaking about you but... I know most people would not have much awareness of their cognitive decline. I know this because that awareness gap is there with or without LLMs, across all age groups and cultures.
For cognition, sure, but that's a fairly weak claim. A dog that chases its tail for 3
hours might be considered conscious, but maybe not highly intelligent.
The attention deficit part of ADHD hurts some people, but a high intelligence is able to make up for it in other ways. Attention span is a multiplier for intelligence. Someone with a lower IQ but a longer attention span is able to outperform a higher IQ but shorter attention span, traditionally.
What's required though, is the attention span and the memory to really dig deep into a problem, and then go for a run. If AI makes that easier, since it lets you skip the boring parts and get to the meat of the problem, then hey.
One thing I'll point out is the attention thing might be more of a lack of motivation on my part. It used to be banging out features quickly gave me a nice dopamine rush and the satisfaction of having built something I'm proud of. With LLMs, I don't really have that feeling because even if I guided it to that endpoint I feel less invested and somewhat less interested.
True, I guess I try to have some objective measures like my chess elo and maybe some canaries like what books I'm reading. But it would be really hard to tell.
Cognitive ability can be highly specific. If you don't use it you lose it. You may be able to keep your chess ELO high, but realize you can't implement basic algorithms in C++ quite as readily as you used to. Or you can't write as well as you used to. Or you can't quite make that old recipe taste as good as you remember.
We can argue about what skills are important or not, but these things tend to sneak up on us.
It’s easy to imagine this being a problem both in quality and in volume. Verifiable work is less valuable than verified work. And noise is always costly.
The python type hints are useful for static analysis (and yes, should be the default) but it’s a joke compared to the utility of types in a language like Haskell.
It's a thing, just a very niche thing. There are fancy walter filtration systems that put minerals back so it's more controlled. I suppose this is useful when you're living in America, where everything is chlorined to death.
You clearly haven't tasted coffee or tea brewed with hard water. And I don't see why yeast or fish wouldn't be more comfortable in some range of mineral composition than another.
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