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this post was submitted on 07 Mar 2026
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This is of course problematic, but not directly the fault of the technology itself. The entire system is problematic, but that's a digression from the effectiveness of the tech doing the job.
And the instances I'm talking about were running the ai stack and employee teams in parallel for nearly a year. The replacement wasn't a "yeah let's try this... whoops that didn't work". It was a tried and tested approach, and the employees made redundant (in the capability sense, not the firing sense, which followed afterwards).