I want to say thanks that this conversation got a little more attention from all sides including the time it takes to express nuance and examples.
Plus one to everything Aurora said.
We have to be careful about what we could give up, in the slow, long term stance against major companies that are running very famliar playbooks. I think sometimes that means not using tools that could genuinely work until we're 1000% certain there's a way forward with those tools that don't repeat the problems of the past. Less 'worry about getting left behind' and more 'information ethics all the way down'.
To add to the discussion, I urge folks to remember the Wikipedia situation (for profit, silicon valley poster child organization changed [under public pressure!] to a large, largely trusted but still scrutinized non profit, coming back around to now today, their union is facing major busting tactics).
None of the frontier 'AI' models are on anything like this trajectory, in my opinion. Instead they're on a very old playbook, something like the big tobacco companies and globalization promises did. That's Greg Wilson's opinion and I mostly agree with it, if you want to read about it: https://third-bit.com/2026/06/18/ai-happens/.
-Adrienne
Adrienne Canino (she/her)
Data Librarian (MLIS)
TetraTech Ocean Sciences
Anchorage, Alaska
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Received on Thu Jul 09 2026 - 17:01:40 EDT