What do you think of OpenAI CEO Sam Altman stepping down from the committee responsible for reviewing the safety of models such as o1?
Last Updated: 02.07.2025 03:08

September, 2024 (OpenAI o1 Hype Pitch)
(the more accurate, but rarely used variant terminology),
“Rapidly Advancing AI,”
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“anthropomorphism loaded language”
guy
Nails
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“EXPONENTIAL ADVANCEMENT IN AI,”
describing the way terms were used in “Rapid Advances in AI,”
(according to a LLM chat bot query,
Of course that was how the
"[chain of thought] learns to break down tricky steps into simpler ones. It learns to try a different approach when the current one isn't working. This process dramatically improves the model's ability to reason."
from
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prompted with those terms and correlations),
Function Described. January, 2022
Is it better to use the terminology,
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three, overly protracted, anthropomorphism-loaded language stuffed, gushingly exuberant, descriptive sentences.
- further advancing the rapidly advancing … something.
Damn.
(barely) one sentence,
in the 2015 explanatory flowchart -
Further exponential advancement,
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Combining,
the description,
increasing efficiency and productivity,
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ONE AI
Same Function Described. September, 2024
will be vivisection (live dissection) of Sam,
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or
“Some people just don’t care.”
“[chain of thought] a series of intermediate natural language reasoning steps that lead to the final output."
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“anthropomorphically loaded language”?
within a day.
has “rapidly advanced,”
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and
“RAPID ADVANCES IN AI”
with each further dissection of dissected [former] Sam.
Do you think Putin wants peace with Ukraine, or does he want Ukraine?
putting terms one way,
to
“Rapidly Evolving Advances in AI”
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Let’s do a quick Google:
by use instances.
January 2023 (Google Rewrite v6)
When did women stop wearing bonnets in North America?
step was decided,
“RAPIDLY ADVANCING AI”
“Rapid Advances In AI,”
of the same function,
Eighth down (on Hit & Graze)
Fifth down (on Full Hit)
"[chain of thought means that it] learns to break down tricky steps into simpler ones. It learns to try a different approach when the current one isn't working. This process dramatically improves the model's ability to reason."
It’s the same f*cking thing.
"a simple method called chain of thought prompting -- a series of intermediate reasoning steps -- improves performance on a range of arithmetic, commonsense, and symbolic reasoning tasks.”
January, 2022 (Google)
The dilemma:
“Talking About Large Language Models,”
within a single context.
DOING THE JOB OF FOUR
I may as well just quote … myself:
An
better-accepted choice of terminology,
“[chain of thought is] a series of intermediate natural language reasoning steps that lead to the final output."
when I’m just looking for an overall,
In two and a half years,