-
korrents.com
Within a few years, ordinary people will have on-demand AI superforecasters comparable to top human forecasters.Their words
AI superforecasters are coming. Within a few years, the average person will have the equivalent of a Nate Silver in their pocket, ready to predict whatever question they can think to ask it.
AI Superforecasting Should Transform The FDAastralcodexten.com
Essayists: what they publish and believe, in their own words.
About this feed
The people on Essayists. Open the list · See everyone
Latest: everything, as it happens, in the order it happened. Nothing ranked. Show highlights instead.
The quoted blocks are what people actually said; a beneath one is the belief those words support, in korrents' wording. Nobody here wrote their own page.
Top people are the people in this feed with the most beliefs on this site, then the most here. Choose an area and the row leads with the people whose beliefs are about it; tap a face for their feed.
Top people in AI
Showing Profile →
Hiding
Hiding
16 September
-
korrents.com
The best way to pace the AI frontier is to hold labs fully liable for their models' behavior.Their words
The best way to pace the frontier is to hold the labs fully liable for the behavior of their models.
-
Their words
The future is more likely AIs fighting AIs (on behalf of humans) than AI fighting humanity.
-
korrents.com
If AI is risky like fire, everyone should have it; if it is risky like a nuclear weapon, no one should.Their words
If AI is risky like fire is risky, then you want everyone to have it. If AI is risky like a nuclear weapon is risky, then you want no one to have it.
15 September
From one piece @paulg on X 2 beliefs · x.com
-
Their words
Someone needs to define the unit, perhaps using a chain of increasingly hard problems, each pair of which can be solved by a single model.
-
korrents.com
Tokens are not the true unit of AI inference, because better models yield more problem-solving per token.Their words
Although you pay for AI by the token, that's not the unit of inference, because you get more problem solving per token as models improve.
13 September
-
Their words
On the way to killing all of us, AI will likely kill some of us.
-
Their words
Strong liability enforcement could be helpful in the AI debate. If your agent swarm goes rogue, you’re liable. If your weakly protected model gets jailbroken, you’re liable. If you serve a weakly protected OSS model, you’re liable.
8 September
From one piece God Help Us, Let’s Try To Learn About Mechanistic Interpretability Techniques 2 beliefs · astralcodexten.com
-
korrents.com
Neural networks do not have a one-to-one mapping between individual neurons and concepts.Their words
researchers started by seeking a 1:1 mapping between neurons and concepts, like a neuron that always fired when the AI was thinking about cats, but quickly learned that nothing like that existed.
-
korrents.com
Large language models are grown rather than built, and nobody really knows how the resulting working AI functions.Their words
Large language models are “grown, not built”. Researchers run training data through a neural network. Eventually this creates a working AI; nobody really knows how.
-
Their words
AI may finally allow us to test whether (or more precisely where) you make more money by being good.
3 September
From one piece Paul Graham On Startups, Ambition, and Great Founders 2 beliefs, in the piece's order there
-
Their words
the way you make a new Google is not by attacking them head on. You have to wait for things to change so much that their model is is obsolete and that's when you can do it. And that's what Open AI is.
-
Their words
Most of starting a startup is the same. Most of starting a startup is always the same, right? In you know, microprocessors or AI or like internal combustion engine, it's always the same stuff.
1 September
From one piece Nicholas Decker In Hell 2 beliefs · astralcodexten.com
-
Their words
Rather than treat AI as similar to airplanes, we should treat it as something between airplanes and humans. We don’t know exactly where on this spectrum they will land, but we can no longer be certain that AI will lack any given humanlike motivation.
-
Their words
We’re positively reinforcing AI for success on benchmarks, including impossible benchmarks , then negatively reinforcing it for getting caught cheating.
3 August
29 July
1 June
4 May
28 April
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.