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(I missed the last two talks as I had a long and good discussion with someone about hyped technology systems and confirmation bias. I'll link some things here that I think are important to relate: 1. mikelovesrobots.substack.com/p/wheres-the... 2. metr.org/blog/2025-07...
(3. @edzitron.com's work: www.wheresyoured.at/ai-is-a-mone... 4. The video I made recently in relation to blockchain, metaverse, and LLM AI in gamedev: youtu.be/CeZ_rcDQg6Q?... The earlier talk today that mentioned confirmation bias made me realize this is all related to those hypes.)
By having this data, they can readily see if released content is too difficulty or too drastic. Gathering the data always means you have a baseline to compare to. So questions can be answered right away. (Reminding me of a previous talk, of having the user research systems always ready to go)
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