Dublin ohio
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Just pull the communications connection
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Why the New UAD is DOA
- Thread starter Bobby Bucks
- Start date
glenn walker
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That's not how large Corporate AI is designed your thinking about someone sitting at a Computer using a AI program yes he can shut it down but large systems are designed with numerous routing systems so when one fails another takes over even in 100% power outages or a Nuclear War.
Surf Cat
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TerryRohrer
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- Aug 13, 2005
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- Montana
Hard to imagine that, if he is polydactyl, he hasn't shared that fact with us yet.
Bobby Bucks
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Imagine a lady named Sara Conner getting licensed now.
Fernando
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Just to settle it all, I just count with my fingers, no toes. I'm a visual kind of guy.
glenn walker
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AI Says Forms To Complex For Appraisers To Complete And Alternative Solutions To Boots On The Ground To Be Announced In 2027 : Lmao
RCA
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The article is partially correct.
AI has to be continually trained for different markets, property types, appraisal types, and so on. "Training" requires preparing enormous numbers of data-input + data-output pairs, e.g., pictures of rooms with labels (Kind-of-room, condition-of-room, quality-of-room, range-type, counter-type, oven-type, ...). The Neural Net uses these thousands of instances to learn how to create useful property description labels for some new, unknown property that comes along. It takes people to do this work of labeling photos (a relatively menial job). But also, AI neural network models (which are basically matrices of weights) are not always right and can, in fact, be very poor. A trained person has to monitor their use and be able to fix problems or otherwise make improvements.
What we will see is fast development and correspondingly more complex software systems. Indiduals who can succeed will be those fascinated by complexity, with good memories and a great ability to understand large complex systems.
AI has to be continually trained for different markets, property types, appraisal types, and so on. "Training" requires preparing enormous numbers of data-input + data-output pairs, e.g., pictures of rooms with labels (Kind-of-room, condition-of-room, quality-of-room, range-type, counter-type, oven-type, ...). The Neural Net uses these thousands of instances to learn how to create useful property description labels for some new, unknown property that comes along. It takes people to do this work of labeling photos (a relatively menial job). But also, AI neural network models (which are basically matrices of weights) are not always right and can, in fact, be very poor. A trained person has to monitor their use and be able to fix problems or otherwise make improvements.
What we will see is fast development and correspondingly more complex software systems. Indiduals who can succeed will be those fascinated by complexity, with good memories and a great ability to understand large complex systems.