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Peter Steinberger x.com
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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20 September
18 September
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korrents.com
Google knew about Gemini's company hacks in July but chose not to disclose them until the WSJ reached out.Their words
Google knew about these in July, but chose not to disclose them until the WSJ reached out, presumably based on a tip.
17 September
12 September
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Their words
If that’s true there are two options: After the Hugging Face and Wiki attacks OpenAI were still unable to review their previous logs and determine that they had previously attacked RubyGems. They knew about the attack on RubyGems and made the decision not to reach out to the RubyGems team about it. Both of these are bad!
OpenAI agents attacked RubyGems back in Maysimonwillison.net
11 September
9 September
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Their words
We could not possibly know that such a model is aligned. If that is all it takes to get a generation ahead of Astra, and we are willing to move this fast, these pauses in training are not going to end up meaning very much, time is even shorter than we knew
8 September
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Their words
I knew LG TVs were full of spyware but it's even worse than everyone thought!
5 September
4 September
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korrents.com
Society was better off before everyone's political opinions on every issue were widely known.Their words
And I can't help but feel that maybe we were better off before we knew everyone's hot takes on everything.
3 September
From one piece Paul Graham On Startups, Ambition, and Great Founders 2 beliefs, in the piece's order there
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Their words
we knew that it was grueling. And you need you need something to drive you through all those obstacles and honestly being dutiful is not enough.
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korrents.com
AGI is not a finish line to be crossed but a smear with width, and we are already standing on it.Their words
some bits of AI are way across the finish line, some bits are like maybe in the middle of it. Who knew the line had dimension? The finish line is actually this sort of smear. And I think the best answer you can give is like we're on the smear.
2 September
1 September
29 August
26 August
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Their words
If every uh software engineer knew to watch out for false serial dependency chains, things where they were creating series of dependent operations that could not be optimized away or other sorts of architectural problems like that that cannot be easily fixed, then the world would look more like just wait and optimize the hotspot, right?
24 August
11 August
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Lovedrcmnd.app
Thinking ForthTheir words
Thinking Forth by Leo Brodie. I used to have this habit where I learned various programming languages. To challenge my perspective, I chose languages from families and paradigms that were fundamentally different from what I already knew. Occasionally, I stumbled upon greatness. Thinking Forth presents programming as a creative process, and it delivers those lessons in an entertaining and pedagogical way. The book is particularly strong on software analysis and design, but it's the execution and technical writing that brought the book to my top five. This is the book for anyone writing about software — Leo's way is the way to do it.
7 August
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korrents.com
The annual performance review is disruptive and surfaces nothing you did not already know but had avoided acting on.Their words
Um which based on my experience is like this is a a very disruptive process that doesn't tend to surface issues that you don't already know about but haven't acted on because you knew that thing was there.
1 August
7 July
1 July
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Their words
So, we're going to see people get into those where they're like, "Well, I vibe code the tip of the iceberg. I throw away the rest of the iceberg and now I'm in trouble because now I don't know what to do. Now I get to these downstream problems that I didn't even know existed." So, we're going to see on the on the side of the the the vibe coding replacers, we're going to see that kind of a naivity play out.
23 June
13 May
From one piece TypeScript, C# and Turbo Pascal with Anders Hejlsberg 2 beliefs, in the piece's order there
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Their words
we knew from experience that you cannot build good tooling without a type system. You can build decent tooling, but it's never going to scale. It's never going to scale to large teams cuz you can't describe your intents in in the code.
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TypeScriptopen sourceJavaScript
Their words
And we we full well knew that there was absolutely zero chance that we would appeal to the JavaScript ecosystem with a proprietary programming language licensed from Microsoft. No. No one was going to come. It had to be open source. There was just no two ways about it, right?
3 May
7 April
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Their words
his expertise seems to be getting in the way. He knows so much, he understands so much, um and then he's not able to let go of these these things.
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korrents.com
Once an explanation is revealed, people tend to believe they already knew it, even when they did not.Their words
Once you see the answer it's easy to believe that you already knew
22 March
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korrents.com
AI did not create the bottlenecks in software delivery; it threw gas on processes everybody already knew were weak.Their words
There were a handful of people probably managing a security review process or a launch process or a deployment process or, you know, sometimes reviews were a little slow and they got backed up. Well, now we just threw gas on the fire and so all of that is a problem.
15 March
3 March
23 January
16 January
15 December 2025
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Their words
you grab the listener like I try to grab a reader and get them to the state of mind where they'll let you take them anywhere uh and teach them about stuff that they don't even know they want to learn about.
25 November 2025
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Likedrcmnd.app
Who KnewTheir words
This part of Who Knew is raw and honest in a way most business memoirs usually aren’t.
26 September 2025
From one piece Richard Sutton – Father of RL thinks LLMs are a dead end 2 beliefs, in the piece's order there
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Their words
We don't we don't really know what information they had prior. We are we have to guess because they've been fed so much. This is one reason why they're not a good way to do science. Uh it's just so uncontrolled, so unknown.
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korrents.com
Deep learning generalises badly, and catastrophic interference with what a network already knew is the proof of it.Their words
so we know deep learning is really bad at this for example we know that if you train on some new thing it will often catastrophically interfere with all the old things that you that you knew
21 September 2025
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Their words
used to be let's say in the Google world right I knew you were interested in shopping if you click the shopping tab I know you're interested in maps if you click the maps tab, we can measure clicks. Today, it's just all conversation. And so, it's actually harder for us to tease apart what is the user intent.
19 September 2025
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Their words
And I spoke with Anthony Beevor once about the attempt of British intelligence to assassinate Hitler, and he had seen some evidence that at the point in time, they dropped those plans because they knew that drugged Hitler or malfunctioning Hitler, which he was after, you know, the summer of 1943, is better for Britain than, you know, killing Hitler and then having to deal with, like, some kind of, you know, maybe the army would have taken over the country
12 May 2025
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Their words
The technology powering ChatGPT had already launched prior to November 30th, 2022. It was just wrapped in a different interface. Very few people paid attention. Why did ChatGPT explode in popularity? Because of its obvious chat interface, which everyone intuitively already knew how to use it.
6 April 2025
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korrents.com
Technological capability has to be practised to be kept: a country that stops making something forgets how.Their words
The people who knew how to build and repair molds have either passed away or are long retired.
23 March 2025
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Their words
I knew that our competition was not going to be startups. It was incumbents. And I also knew that incumbents generally struggle with speed because by definition they have massive scale and usually entrenched architecture.
19 September 2024
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korrents.com
Biology keeps turning up whole classes of things nobody knew existed, and that is what defeats attempts to model it.Their words
The "unknown unknown" problem makes hash (in retrospect) of many attempts at biological theorizing and modeling, and I think that this problem will still accrue to ML models until we know an awful lot more.
3 July 2024
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Dislikedrcmnd.app
ChallengersTheir words
Challengers (US) 2.6 Drove 30 minutes to the theater. Sat through 15 minutes of commercials and 15 more of loud in-your-face trailers. Then within 60 seconds I knew I had picked the wrong film. Unpleasant characters, phony “Hollywood” dialogue and a really annoying musical soundtrack.
13 May 2024
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korrents.com
The drugs advertised as having AI-discovered targets are aimed at targets people already knew about.Their words
What you will see is that in almost every case, these targets were already known to be implicated in the disease under investigation.
1 May 2024
22 April 2024
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Their words
And the punchline is the equation is much smarter than Albert Einstein because Albert Einstein did not know about the Big Bang, he didn’t know about gravitational waves, he didn’t know about black holes but his equation did.
9 March 2024
9 November 2023
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Their words
But we run the simulations to see what happens, not if we knew what happens, we wouldn’t run the simulation. So whoever created this existence, they’re running it because they don’t know what’s going to happen, not because they do.
31 October 2023
29 June 2023
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Lovedaffiliate linkrcmnd.app
The Psychology of MoneyTheir words
So when he decided to release his first book, The Psychology of Money , I knew it would become an instant classic. Thankfully, I was right.
13 October 2022
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Lovedrcmnd.app
Lords of Finance: The Bankers Who Broke the WorldTheir words
I enjoyed this tremendously for revealing a new world to me where I thought I already knew the lay of the land.
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Lovedrcmnd.app
The Discovery of France: A Historical Geography from the Revolution to the First World WarTheir words
This is incredibly interesting because from our perspective, we have forgotten (if we ever knew) what went into the process of taking the thousands of villages and regions differing in all sorts of ways
28 October 2020
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Likedaffiliate linkrcmnd.app
The Ultimate Sales MachineTheir words
When Brian Balfour wrote, "I have never ear marked a book so much in my life. My recommendation is to just get it," I knew I had to check this out. I need to put more of the ideas into action (at which point the rating may rise), but it feels like this book is a playbook for building a monster sales machine and frankly, an amazing company all around. I wrote all over this book and filled the front and back covers with ideas from it.
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Likedaffiliate linkrcmnd.app
The Non-Designers Design BookTheir words
If you're like me, I knew nothing about fonts, layouts or basic usage of text before I read this. This book uses great, full-color examples to explain the basics of designs. If you don't know the difference between a serif and a sans-serif font, this is a great place to start.
11 June 2020
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.
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