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!
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
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.
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?
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.
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.
Ritholtz does exactly that, running through such surefire ways to wreck your wealth as ignoring taxes, paying excessive fees, misinterpreting data, overreacting to short-term trends, and trading too much.
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.
It was a miracle of your lifetimes. It lifted hundreds of millions of people out of poverty. The problem for the likes of Putin is that this wealth producing trade was not happening at his house, but the houses of those vested in the trading order, not in extortion.
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.
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?
and part of it is just power, I think. Like, once there's a sufficiently large power imbalance, um, very often, not always, but very often groups of people seem to to sort of shift into this other mode where they just seek to dominate.
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.
Tariffs, and especially the erratic implementation of them, are teaching our allies and enemies alike that the US is no longer a reliable trading partner.
the average athlete who's taking a few million dollars more to move his wife and kids from one family, one city that they loves him and that he loves to some strange place where everybody's going to be unhappy.
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.
So think about this. If your brain is this most valuable tool you have in your journey to success and happiness, why would you destroy this tool for short-term pleasure? This sounds ridiculous.
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.
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
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.
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
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.
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.
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.
If you buy a handful of index funds, sit on them for decades and never do another thing, you're likely to outperform nearly everyone who tries to beat the market by trading-including most professionals.
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.
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.
Movements are coalitions. Sometimes this means different people with different priorities choose to work together. But other times it means the same people tend to share both priorities.
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.
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
A fine intro to investing if you think you can reliably beat the market or that active trading is a good use of energy. If you're already bought in on index funds though, you won't find much here.
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.
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.
The Unix Programming Environment is a book you can't read too soon. It's something I wish I'd come across years before I actually did. An authoritative and comprehensive manual for using Unix as a programmer, it clearly explains concepts such as inodes, hard and soft links, system calls, and the power of joining programs together via stdin and stdout. By the time I came across this book I already knew these concepts, but had never studied them before in one place, and in such a coherent manner.
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.