-
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.
Related posts
Ethan Mollick Newsletter
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.
Top people
Showing Profile →
Hiding
Hiding
19 September
16 September
-
korrents.com
Adding advertising into AI chatbot products carries a high risk of backfiring with users.Their words
Injecting ads into the current paradigm with AI chatbots runs a pretty high risk of backfiring.
15 September
-
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
9 September
31 August
-
Their words
The most positive use case if you said, you know, what's the number one thing we could use AI for? It's not giving kids chatbots that's going to work. It's giving them an individualized lesson plan based on their level to catch them up to grade level. And that would be the single best thing we could do to fix education in America.
3 August
-
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
-
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
-
Their words
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
11 June
10 June
-
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?
2 June
-
Their words
To a certain extent, the concerns about cognitive offloading are an example of technological lag, where the mainstream discussion of AI and its impact is still framed in terms of the first-generation chatbots.
8 May
5 May
29 March
-
Their words
But in Vietnam and also in a lot of other Asian countries, people are on the move all the time. Like people are on the motorbike all the time. So, they actually really don't like typing. So, the voice like a lot of the companies in Vietnam actually deploy voice bots before they do uh do chatbot.
27 February
-
Their words
and then as things hit invisible asymptotes those same loud voices who write viral essays have curiously moved on to other things.
18 February
13 February
From one piece Dario Amodei — “We are near the end of the exponential” 3 beliefs, in the piece's order there
-
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.
-
Their words
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.
-
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.
5 February
-
Their words
Immediately cease trying to perform meaningful work via a chatbot (e.g. ChatGPT, Gemini on the web, etc.). Chatbots have real value and are a daily part of my AI workflow, but their utility in coding is highly limited because you're mostly hoping they come up with the right results based on their prior training, and correcting them involves a human (you) to tell them they're wrong repeatedly.
18 November 2025
17 October 2025
-
Their words
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
-
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.
12 September 2025
-
Their words
Like if you answer a question, you just like answered it wrong. It's like well it's not like you can just like go back and like tweak a few things like the person you told the answer to might not even know that it's wrong. Whereas if you're like folding the t-shirt and you messed up a little bit like it's pretty obvious like you can reflect on that, figure out what happened and do it better next time.
2 September 2025
-
Their words
Like it seems to me right now you could do like a double blind test of the same prompt given to Grock Claude Gemini um Mistral Deep Seek. Do a double blind test. I bet most people wouldn't be able to tell which is which.
5 August 2025
16 June 2025
Nothing matches.
What is a korrent?
A korrent is a belief a person has stated in their own words: one sentence stating the claim, backed by a quote and a source, kept at korrents.com.
Under a name here, the quoted block is what they actually said. The korrent beneath it is the claim those words support, in korrents' wording — tap it to see the record, its source, and who else holds it.
Nobody here wrote their own korrents. They are compiled from public statements, and a person can change their mind, which is recorded too.
About the English under a post
Some people here publish in a language other than English. Where they do, this site shows a machine translation beneath the post, in this typeface — the site's own, not theirs.
The post itself is never changed, moved or hidden: what is set in the serif above is exactly what the person published, and it is what to quote them on. A translation can be wrong in ways that matter, especially about tone.
Only the post's own words are translated. A quoted post, a linked article and a belief on korrents.com are left in their original language.