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> Basically I think open source has traditionally HEAVILY relied on hidden competency markers to judge the quality of incoming contributions. Yep, and it's not
by stevage 1y ago
> Basically I think open source has traditionally HEAVILY relied on hidden competency markers to judge the quality of incoming contributions.
Yep, and it's not just code. Student essays, funding applications, internal reports, fiction, art...everything that AI touches has this problem that AI outputs look superficially similar to the work of experts.
- whatevertrevor 1y agoI have learned over time that the actually smart people worth listening to, avoid jargon beyond what is strictly necessary, talk in simple terms with specific goals/improvements/changes in mind. If I'm having to reread something over and over to understand what they're even trying to accomplish, odds are it's either AI generated or an attempt at sounding smart instead of being constructive.
- danielbln 1y agoTrajectory so far has been that AI outputs are converging increasingly not just in superficial similarity but also quality of expert output. We are obviously not there yet, and some might say we never will. But if we do, there is a whole new conversation to be had.
- zelphirkalt 1y agoI suspect that there are at least 1 or 2 more significant discoveries in terms of architecture and general way of models working, before these things become actual experts. Maybe they will never get there and we will discover how to better incorporate facts and reasoning, rather than just ingesting billions of training data points.