Thanks for this thoughtful analysis, Alex. As a historian, I find fascinating parallels between your observations and previous tech transitions. Your point about starting small and building expertise gradually seems especially wise - it's the kind of measured approach that often gets lost in the AI hype cycle. Really appreciate you sharing these insights about the current state of AI agents and their practical limitations.
Happy you found it insightful, Sean. I make quite a few of those parallels as well. Probably owed to the fact that I graduated with a history degree. Always looking at these developments through that lens.
The topic of accuracy and perception is a crucial one, but the way you reported it here is really fascinating and surprising. Especially in terms of implications for high-risk decisions.
Probably the passage I appreciated the most in this issue is related to experimentation: how this uncertain timeline on developments (especially this year) can be taken as a great way to take the time to see what AI can do, how to use it, where it can already be effectively used. Thanks for elaborating this reflection!
Thanks for this thoughtful analysis, Alex. As a historian, I find fascinating parallels between your observations and previous tech transitions. Your point about starting small and building expertise gradually seems especially wise - it's the kind of measured approach that often gets lost in the AI hype cycle. Really appreciate you sharing these insights about the current state of AI agents and their practical limitations.
Happy you found it insightful, Sean. I make quite a few of those parallels as well. Probably owed to the fact that I graduated with a history degree. Always looking at these developments through that lens.
The topic of accuracy and perception is a crucial one, but the way you reported it here is really fascinating and surprising. Especially in terms of implications for high-risk decisions.
Probably the passage I appreciated the most in this issue is related to experimentation: how this uncertain timeline on developments (especially this year) can be taken as a great way to take the time to see what AI can do, how to use it, where it can already be effectively used. Thanks for elaborating this reflection!