AI Rendering Of Neyland Stadium With 1 Million Seats

#76
#76
Having each level 360 degrees makes it louder. This design squanders the noise factor.

I hope they have conveyor belts to the top sections.
Plumbing for bathrooms would need much more structure.

It actually reminds me of WIlliams-Brice.
 
#78
#78
AI that I've seen lacks discernment. Any discerning engineer or architect is going to almost immediately laugh, then shoot down with reasoning, a million seat Neyland.

AI will just draw it. It's like pranking a novice. Give them something ridiculous and watch them attempt it. No discernment.
I'm moreso talking about AI along the lines of Bard or ChatGPT but I've seen other forms be useful too. It's used in several business models to create efficiency.
 
#79
#79
Appreciate the thought OP but I can support nothing that eventually leads to our extermination by our future robot overlords.
 
#80
#80
I'm moreso talking about AI along the lines of Bard or ChatGPT but I've seen other forms be useful too. It's used in several business models to create efficiency.
Mostly not ready for "thinking" because it can't understand non-linear reasoning well at all. As I said, it can't discern but only solves. There's a difference.

 
#83
#83
Leopard Spot Endzone to replace the Checkerboard. NIce!

Can you imagine how powerful those lights would need to be at that height to get to the field?
 
#84
#84
Real question, would that mean FINALLY getting rid of the restroom troughs? 😂
I read an article about Nebraska's coming renovation and one study said that the number of men's restrooms could be cut significantly if they would bring back the troughs. :)
 
#85
#85
Yet another example of why AI is more buzzword than useful at this point.

AI isn't yet smart enough to respond to a request of "make Neyland Stadium seat 1 million people" with "No. That's too impractical and too ridiculous to waste machine cycles on."


The program at first fluently finished a sentence about English Gothic architecture, but after nine generations of learning from AI-generated data, it responded to the same prompt by spewing gibberish: “architecture. In addition to being home to some of the world’s largest populations of black @-@ tailed jackrabbits, white @-@ tailed jackrabbits, blue @-@ tailed jackrabbits, red @-@ tailed jackrabbits, yellow @-.”
 
#86
#86

The program at first fluently finished a sentence about English Gothic architecture, but after nine generations of learning from AI-generated data, it responded to the same prompt by spewing gibberish: “architecture. In addition to being home to some of the world’s largest populations of black @-@ tailed jackrabbits, white @-@ tailed jackrabbits, blue @-@ tailed jackrabbits, red @-@ tailed jackrabbits, yellow @-.”
I don't question AI's ability to gather a lot of information and analyze it. Like a spreadsheet works out specific problems, AI can provide decent answers to linear questions.

If we define "intelligence" loosely as having the ability to remember pictures, formulas, writing, etc...... ChatGPT is quite "intelligent." It can both recall and somewhat mimic data that it has seen.

What it can't do is "think outside the box" about concepts. So the answers it gives are "the best statistical guess" based on the data and it's unlikely to go beyond that, IMO.

Lots of human interaction is "scripted" and "form based" such that even "random encounters" among strangers in a grocery or wherever follow a reasonably predictable pattern of custom and civility, so a bot may handle that easily as long as you ignore the nuance of body language, eye movements, etc that most (not all) humans react to and can change the conversation because of.

If I see someone I've met looking away or appearing distracted or something, I instinctively know they're not really in the conversation. It'll take bots a long time to recognize these things, IMO.

Al is a good tool for some things but it'll be easy to spot, I think, for many years by "acting different" than the normal human script.
 

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