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Quote by Julie James

“Since you’re obviously in need of something to do, instead of shouting at me through this whole drill, isn’t there some tree you could fell with your bare hands, or a boulder somewhere that needs tossing?”

Quote by Julie James

Book:The Thing About Love
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The Thing About Love

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Author

Julie James
Julie James

Julie James, born on November 5, 1974, is a talented author whose works span various genres and have won the hearts of readers. more

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Book:Hidden order: how adaptation builds complexity
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“Tags [distinctive agent features observable by other agents] almost always define the network by delimiting the critical interactions, the major connections. Tags acquire this role because the adaptive processes that modify cas [complex adaptive systems] select for tags that mediate useful interactions and against tags that cause malfunctions. That is, agents with useful tags spread, while agents with malfunctioning tags cease to exist.”

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“While we strive to understand the universe, the true nature of reality might be as much about the observer as the observed.”

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“In the symphony of AI, let GPT be the rhythm, but always let human ethics be the lead.”

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“Dive deep into AI, but always keep a lifeline tethered to human empathy.”

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“Confabulation, or hallucination, is ubiquitous in AI/GPT output already. Efforts to correct this by self-learning algos and back propagation are unlikely to solve the problem because they add to the complexity of the system as a whole, which increases the likelihood of emergent ghosts. The difficulty is that duplicity is hard to detect unless you're a subject matter expert in the topic or you conduct your own research to test its accuracy. This begs the question — if you have to be a subject matter expert to spot the flaws in AI/GPT output, what good is the system in the first place?”

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“... bias in training materials is inevitable and there are better ways to deal with adverse effects than to scrub them out of existence. Efforts to eliminate bias would simply create new kinds of bias and distort the validity of the original datasets. Bias can be unjust by some standards but serves a useful purpose. ... the way to deal with it is to use other systems developed by those not involved in the original code, assisted by subject matter experts who could spot damaging bias in AI output and mitigate it in a commonsense manner. The way to deal with bias is not to eliminate it (you can't) but to identify bias and take it into account. Again, education and accountability are better than censorship and new biases.”

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