Posted on 03/29/2025 2:11:47 PM PDT by RoosterRedux
Forty-five years ago I had a parishioner opine that my brother’s digital synthesizer (keyboard) was “of the devil” because it could mimic the sound of scores of instruments.
I’m sure the guy who figured out how to make fire on-demand was either elevated to some priestly status, or killed for being a vessel of evil usurping powers reserved to the gods.
There is nothing new under the sun.
Love Harlan Ellison. Been trying to decide what book(s) of his to read (listen to) next.
Just how big are those egos?
Actually you can run AI on your local PC. Just guy a decent Nvidia graphics card and it runs well.
He was probably burned at the stake...cause it scared everyone, and it isn't like they had TVs or iPads back then.
“You shall be as gods”
Lucifer lied then. He lies now.
Our ability to innovate with technology both outstrips and degrades our moral integrity as human beings.
Overall, this can lead to up to 10 gigawatt-hour (GWh) power consumption to train a single large language model like ChatGPT-3. This is on average roughly equivalent to the yearly electricity consumption of over 1,000 U.S. households.Q&A: UW researcher discusses just how much energy ChatGPT uses
Deep Seek (open source) has proven to do it all a whole lot cheaper and better.
“we are creating God”
Plus ça change, plus c’est la même chose.
“Deep Seek (open source) has proven to do it all a whole lot cheaper and better.”
Deepseek used ChatGPT distillation for training data. In machine learning, distillation is a process where outputs from a large, pre-trained model are used to train another, usually smaller model to exhibit similar capabilities. The technique is common in the field and often used when companies want to deploy a model on devices with limited resources, like mobile phones.
This means that Deepseek would not exist without the more expensive and energy-consuming process used to train ChaptGPT’s LLM.
What’s scary is that human brain cells may become commonly used by computers to train LLMs because they are more energy efficient than GPUs.
I remember that one. They produced a truly creative series of ads, and most of them were actually funny.
Sorry I missed this one...
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