Burton

Dec 24, 2010
3,099
102
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She's been playing quite well I think.

I have to wonder if these players don't have big chips on their shoulders, at least for this season. If I understand the expansion process, they're basically all players their teams were willing to dump, and now they might feel they have something to prove beyond the natural competitive nature they already all have.
 
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HKKJB

Freshman
Apr 23, 2016
395
92
22
I didn’t watch the game but the Valkyries supposedly got jobbed by the refs too.

When is AI going to fix bad game officiating in the pro and college ranks?

Hate to break it to you - I work in AI. And AI is as biased if not more biased than people in most cases (particularly generative AI). Some types of tech may help, but don't hold your breath on AI helping in real-world, complex tasks like officiating a game.
 

DaCat

All-Conference
May 29, 2001
25,510
1,906
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Hate to break it to you - I work in AI. And AI is as biased if not more biased than people in most cases (particularly generative AI). Some types of tech may help, but don't hold your breath on AI helping in real-world, complex tasks like officiating a game.
But I bet an AI referee system would've called at least 3 penalties on Oregon last week! Humans are more biased (and blind).
 
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HKKJB

Freshman
Apr 23, 2016
395
92
22
But I bet an AI referee system would've called at least 3 penalties on Oregon last week! Humans are more biased (and blind).
And the training data is based on what humans historically do. With additional bias of a data scientist somewhere being biased in deciding what training data to use.
 
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CatManTrue

All-American
Oct 4, 2008
16,100
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And the training data is based on what humans historically do. With additional bias of a data scientist somewhere being biased in deciding what training data to use.
That’s based on how LLMs are used currently - scraping the internet, looking at’s what’s been done, and trying to predict “the next best word” (or pixel or whatever). It can certainly be trained using actual data of penalties so all of these blatant mistakes stop helping cheate

College & NFL referees should be using augmented reality which should be linked to the video dashboard of the stadiums (and TVs).

AI should also be applied objectively to independent review.

I’ve also been working with and studying AI for decades (Computer Engineering background). We can both agree we’re in the nascent stages, and ChatGPT-5’s marginal improvements over -4 show the limitations of LLMs (there are many).
 
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HKKJB

Freshman
Apr 23, 2016
395
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22
That’s based on how LLMs are used currently - scraping the internet, looking at’s what’s been done, and trying to predict “the next best word” (or pixel or whatever). It can certainly be trained using actual data of penalties so all of these blatant mistakes stop helping cheate

College & NFL referees should be using augmented reality which should be linked to the video dashboard of the stadiums (and TVs).

AI should also be applied objectively to independent review.

I’ve also been working with and studying AI for decades (Computer Engineering background). We can both agree we’re in the nascent stages, and ChatGPT-5’s marginal improvements over -4 show the limitations of LLMs (there are many).
Really well said and I agree with you entirely. Would add that those limitations of LLM's are magnified when everyone defaults to Generative AI. LLM's can do a lot more analytically when they aren't attached to a chatbot, eliminating hallucinations in addition to the equally large accuracy problem of false negatives.
 
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