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korrents.com
AI scaling laws require exponentially more compute and resources to produce only linear gains in model intelligence.Their words
all of our scaling laws show that you need exponential compute and resources to make linear improvements in intelligence.
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Eugene Yan x.com
Mozilla fixing more bugs in April that the past 15 months is what riding the exponential looks like 🎢
The the words it uses that this site has seen least often elsewhere. Posts are matched on those words alone — nothing here is a summary of this one.
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19 September
15 September
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korrents.com
Solar power's exponential growth will continue until all other energy sources are far below 0.1%.Their words
The solar power exponential will continue until all other energy sources are <<0.1%
11 September
3 August
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Their words
reliability and performance lives on this exponential ladder of nines. So, getting to that first 90% or 99%, that's the easy part. But then every next nine that you want to add, that takes about 10 times more effort.
29 July
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Their words
the other piece of advice I would have is try to identify what is the what is the exponential in the world that has both the steepest curve and will go the longest. And you know many decades ago this curve was was Moore's law and that probably was you know that was at the time like clearly the right thing to invest on. I think right now it's AI progress
27 July
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I think evals, they outlive the harness a little bit, but not by that much. Like an eval might live for maybe one, two, three model generations, but nowadays the you know, we're on the exponential. The model is improving so quickly, very often we just saturate the eval, and then we have to throw it away, and we have to come up with a new eval.
1 July
30 June
10 June
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Their words
when you have an exponentially growing curve, I think the way that an exponential curve feels is it's growing so quickly that the the kind of emotional feeling is it can't possibly keep going, right?
27 February
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and then as things hit invisible asymptotes those same loud voices who write viral essays have curiously moved on to other things.
13 February
From one piece Dario Amodei — “We are near the end of the exponential” 3 beliefs, in the piece's order there
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Their words
but at the same time, we're spending $10 billion to train the next model because there's an exponential scale up. And so the company loses money. Each model makes money, but the company loses money.
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One is at every moment of this exponential, the extent to which the world outside it didn't understand it. This is This is a bias that's often present in history where anything that actually happened looks inevitable in retrospect.
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Their words
I will tell you though what the most surprising thing has been. The most surprising thing has been the lack of public recognition of how close we are to the end of the exponential.
17 October 2025
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I do, but it's business as usual because we're we're in an intelligence explosion already and have been for decades. And when you look at GDP, it's basically the GDP curve that is an exponential weighted sum over so many aspects of the industry. Everything is gradually being automated has been for hundreds of years.
16 October 2025
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Their words
the only thing that we know is that models will improve. Will it be incremental? Will it be exponential? I mean somewhere in between. Who knows? But uh what you have to believe is that you get better as models get better. Your organization gets better as models get better.
16 June 2025
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