"every single warning that paper made about large language models has now happened at scale"
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@timnitGebru walks among us.
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@zl2tod Weird!
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@zl2tod Weird!
If
https://dair-community.social/@TimnitGebru
works for you then it's mastodon.social, or your personal block lists there.
If not then it's blocked by your ISP, browser, or extensions.
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RE: https://mstdn.ca/@teledyn/116652708401285794
"every single warning that paper made about large language models has now happened at scale"
1. The hallucination problem before anyone had a word for it.
2. Bias amplification
3. Environmental cost
4. Documentation — the training datasets being assembled were too large for anyone to actually audit@harold
All the ills Ms. Gebru’s paper identified have come to fruition in an alarmingly short period, even when measured by the spasmodic cycles of the IT industry. In just a handful of years, the following troubling trends have emerged in the industry:• AI has eroded the professionalism and ethics of the very practitioners who profess to be AI experts
• AI has replaced the in-mind knowledge repository with the by-chat information lookup
• AI has transmogrified itself from being just a tool of the intellectual to being the religion of the indolentThese might well be the signs that IT, as a field of practice, is no longer a human endeavour.
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RE: https://mstdn.ca/@teledyn/116652708401285794
"every single warning that paper made about large language models has now happened at scale"
1. The hallucination problem before anyone had a word for it.
2. Bias amplification
3. Environmental cost
4. Documentation — the training datasets being assembled were too large for anyone to actually audit@harold Hallucination is a term to anthropomorphize a machine malfunction.
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@harold Hallucination is a term to anthropomorphize a machine malfunction.
@CStamp Yes, I know
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RE: https://mstdn.ca/@teledyn/116652708401285794
"every single warning that paper made about large language models has now happened at scale"
1. The hallucination problem before anyone had a word for it.
2. Bias amplification
3. Environmental cost
4. Documentation — the training datasets being assembled were too large for anyone to actually audit@harold if anyone just sits in on a lecture in first year computer science... none of this is a new idea, it's only being implemented now at scale. The hardware has made it feasible. It's a race to the plateau.
You can't train it on it's own junk. Everything about the situation is very well known, and No, it's not all a fresh discovery of Today.
That's just the HYPE-FACTORY version saying 'ITS A NEW WORLD' etc.
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@harold if anyone just sits in on a lecture in first year computer science... none of this is a new idea, it's only being implemented now at scale. The hardware has made it feasible. It's a race to the plateau.
You can't train it on it's own junk. Everything about the situation is very well known, and No, it's not all a fresh discovery of Today.
That's just the HYPE-FACTORY version saying 'ITS A NEW WORLD' etc.
@dckim yup
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If
https://dair-community.social/@TimnitGebru
works for you then it's mastodon.social, or your personal block lists there.
If not then it's blocked by your ISP, browser, or extensions.
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RE: https://mstdn.ca/@teledyn/116652708401285794
"every single warning that paper made about large language models has now happened at scale"
1. The hallucination problem before anyone had a word for it.
2. Bias amplification
3. Environmental cost
4. Documentation — the training datasets being assembled were too large for anyone to actually audit@harold Maybe we should just stand back and let these morons run their companies right into the ground with AI slop. Might be our ticket out of this clown show.
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RE: https://mstdn.ca/@teledyn/116652708401285794
"every single warning that paper made about large language models has now happened at scale"
1. The hallucination problem before anyone had a word for it.
2. Bias amplification
3. Environmental cost
4. Documentation — the training datasets being assembled were too large for anyone to actually audit@harold Well yes, but just look at her. She’s not a mediocre white man so how are we expected to take her seriously?
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J jwcph@helvede.net shared this topic
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@harold Maybe we should just stand back and let these morons run their companies right into the ground with AI slop. Might be our ticket out of this clown show.
@thriftwicker @harold The bill will always come due to the hapless, never those on top.
Look at Russia, it's not oligarchs biking over the fields under drone fire just to move at all between their trenches, even though the war is one of conquest.
Putin's country estate (not even his main residence) is better defended than most military installations near the front.
Water wars have to be fought before any shots are fired, by uniting the whole planet against anyone who would oppose that union.
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T tokeriis@helvede.net shared this topic
