A.I.
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KUTradition
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Re: A.I.
oh, the irony
ignorant, trolling mich is the best mich
ignorant, trolling mich is the best mich
Have we fallen into a mesmerized state that makes us accept as inevitable that which is inferior or detrimental, as though having lost the will or the vision to demand that which is good?
Re: A.I.
It might be too late as the models have plenty of stolen images to work with but this is promising:
https://www.thisiscolossal.com/2024/06/ ... ustomer.io
“I want AI to do my laundry and dishes so that I can do art and writing, not for AI to do my art and writing so that I can do my laundry and dishes"
https://www.thisiscolossal.com/2024/06/ ... ustomer.io
“I want AI to do my laundry and dishes so that I can do art and writing, not for AI to do my art and writing so that I can do my laundry and dishes"
Re: A.I.
“The Electoral College is DEI for rural white folks.”
Derek Cressman
Derek Cressman
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KUTradition
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Re: A.I.
Yuval Noah Harari…first time i’ve heard him (and heard of him)
Have we fallen into a mesmerized state that makes us accept as inevitable that which is inferior or detrimental, as though having lost the will or the vision to demand that which is good?
Re: A.I.
Today In: One AI to Rule Them All
Meta introduces AI model that can review work of other models
Meta Platforms (NASDAQ:META) said on Friday it was releasing some AI models from its research division, including a "Self-Taught Evaluator" which could provide a path to less human involvement in the AI development process.
The Facebook-owner said the "Self-Taught Evaluator" approach generates contrasting model outputs and trains a large language model, or LLM-as-a-Judge to produce reasoning traces for evaluation and final judgments, with an iterative* self-improvement scheme.
The Self-Taught Evaluator is a new method for generating synthetic preference data to train reward models without relying on human annotations.
The release follows Meta's introduction of the product in a paper in August, which showed how it depends on the same "chain of thought" technique used by OpenAI's o1 models to get it to make reliable judgments about models' responses, according to a report from Reuters.
Last month, Microsoft-backed (MSFT) OpenAI released AI models called o1 and o1-mini, which can reason through complex tasks and solve harder problems than previous models in science, coding, and math.
The ability to use AI to review AI reliably offers a glimpse at a potential pathway to building autonomous AI agents which can learn from their own mistakes, the report added, citing two Meta researchers behind the project.
Self-improving models could remove the requirement for an often expensive and inefficient process currently used, called Reinforcement Learning from Human Feedback, which requires input from human annotators who should have specialized expertise to label data accurately and verify that answers to complex math and writing questions are correct, the report added.
"The idea of being self-taught and able to self-evaluate is basically crucial to the idea of getting to this sort of super-human level of AI," said Jason Weston, one of the researchers, the report noted.
The social media giant also released Meta Segment Anything 2.1 (SAM 2.1), an update to its Segment Anything Model 2 for images and videos. SAM 2.1 includes a new developer suite with the code for model training and the web demo.
* "iterative self-improvement scheme"
What is meant by "iterative process"?
The iterative process involves a continuous cycle of planning, analysis, implementation, and evaluation. Each cycle produces a segment of development that forms the basis for the next cycle of iterative improvement.
Meta introduces AI model that can review work of other models
Meta Platforms (NASDAQ:META) said on Friday it was releasing some AI models from its research division, including a "Self-Taught Evaluator" which could provide a path to less human involvement in the AI development process.
The Facebook-owner said the "Self-Taught Evaluator" approach generates contrasting model outputs and trains a large language model, or LLM-as-a-Judge to produce reasoning traces for evaluation and final judgments, with an iterative* self-improvement scheme.
The Self-Taught Evaluator is a new method for generating synthetic preference data to train reward models without relying on human annotations.
The release follows Meta's introduction of the product in a paper in August, which showed how it depends on the same "chain of thought" technique used by OpenAI's o1 models to get it to make reliable judgments about models' responses, according to a report from Reuters.
Last month, Microsoft-backed (MSFT) OpenAI released AI models called o1 and o1-mini, which can reason through complex tasks and solve harder problems than previous models in science, coding, and math.
The ability to use AI to review AI reliably offers a glimpse at a potential pathway to building autonomous AI agents which can learn from their own mistakes, the report added, citing two Meta researchers behind the project.
Self-improving models could remove the requirement for an often expensive and inefficient process currently used, called Reinforcement Learning from Human Feedback, which requires input from human annotators who should have specialized expertise to label data accurately and verify that answers to complex math and writing questions are correct, the report added.
"The idea of being self-taught and able to self-evaluate is basically crucial to the idea of getting to this sort of super-human level of AI," said Jason Weston, one of the researchers, the report noted.
The social media giant also released Meta Segment Anything 2.1 (SAM 2.1), an update to its Segment Anything Model 2 for images and videos. SAM 2.1 includes a new developer suite with the code for model training and the web demo.
* "iterative self-improvement scheme"
What is meant by "iterative process"?
The iterative process involves a continuous cycle of planning, analysis, implementation, and evaluation. Each cycle produces a segment of development that forms the basis for the next cycle of iterative improvement.
“The Electoral College is DEI for rural white folks.”
Derek Cressman
Derek Cressman
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KUTradition
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Re: A.I.
yup
Have we fallen into a mesmerized state that makes us accept as inevitable that which is inferior or detrimental, as though having lost the will or the vision to demand that which is good?
Re: A.I.
Yes.
Both came with, 'well give it a chance, you may like it'.
I was pretty confident I wouldn't and to be honest, both are worse than I imagined.
AI in particular is so shitty because now I have to use it whether it's because it is baked into the software i'm using ( Adobe ) or because AI killed the active communities where I can find help with specific coding questions not answered within an API's/codebases documentation ( bring back stackoverflow ).
Both came with, 'well give it a chance, you may like it'.
I was pretty confident I wouldn't and to be honest, both are worse than I imagined.
AI in particular is so shitty because now I have to use it whether it's because it is baked into the software i'm using ( Adobe ) or because AI killed the active communities where I can find help with specific coding questions not answered within an API's/codebases documentation ( bring back stackoverflow ).
Re: A.I.
I'm an old curmudgeon, stuck in my ways, appreciator of the old ways and simpler times and I've long been resistant to most things tech related.
can't work on your own trucks barely anymore, streaming TV makes cable look affordable and efficient and when we only had 3 channels I had a better chance of actually finding the show I wanted l...
AI is a bigger brewing disaster than I thought.
can't work on your own trucks barely anymore, streaming TV makes cable look affordable and efficient and when we only had 3 channels I had a better chance of actually finding the show I wanted l...
AI is a bigger brewing disaster than I thought.
Just Ledoux it
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KUTradition
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Re: A.I.
data processing and bitcoin mining centers don’t get near enough attention, imo, for their levels of energy consumption
Have we fallen into a mesmerized state that makes us accept as inevitable that which is inferior or detrimental, as though having lost the will or the vision to demand that which is good?