"If you get rid of clutter, there will be cases where you'll have gotten rid of something useful at that moment. It's not about avoiding that -- it's about accepting the right tradeoff between cleanliness and functionality."
Most of us here also work in tech and get paid pretty high salaries. It's pretty inconsequential for us to buy a replacement when we need it, and donate when we declutter.
The lack of broad benchmark reports in this makes me curious: Has OpenAI reverted to benchmaxxing? Looking forward to hearing opinions once we all try both of these out
Most of us probably do the same thing when we read a HN comment about something specific: "This rando seems to know what they're talking about. I'll assume it as fact until I encounter otherwise."
Not doing this might actually cause bigger problems... Getting first-hand experience or even reputable knowledge about something is extremely expensive compared to gut-checking random info you come across. So the "cheap knowledge" may be worth it on balance.
I wish the source citing was more explicit. It would be great if the AI summary said something like, “almost no info about xyz can be found online but one GitHub comment says abc” (link)
Instead it often frames the answer as authoritative
In case you find it interesting: I deployed an early version of a "lesson administering" bot deployed on a college campus that guides students through tutored activities of content curated by a professor in the "study mode" style -- that is, forcing them to think for themselves. We saw an immediate student performance gain on exams of about 1 stdev in the course. So with the right material and right prompting, things are looking promising.
"If you get rid of clutter, there will be cases where you'll have gotten rid of something useful at that moment. It's not about avoiding that -- it's about accepting the right tradeoff between cleanliness and functionality."
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