skysight-inc/HackerNews huggingface dataset:
"Good Market: Naturally recurring market

Example: Server hosting"

A few lines later...

"Good Market: Not real-time

A non-real time business is one where it’s not a disaster if your product is down for a few hours"

Later on it describes hosting, image editors, and time-tracking software as examples of "finished" businesses that don't need to worry about dealing with feature competition.

This is a joke. This is the equivalent of a rag magazine's "Top 10 ways to get RICH!" article.
The ARM cortex x4 will have 10-wide dispatch:
https://www.anandtech.com/show/18871/arm-unveils-armv92-mobi...
It'll probably be roughly the same chip as one of their upcoming V chips.

The specs there sound seriously impressive to me, and like they might be getting ready to leave AMD and Intel behind in terms of IPC (for their highest performing chips).

ARM's clock speeds are much lower, so single core performance will probably be worse. But I'd guess server clock speeds may be similar.
Techno-Narcissism
> It is a program and an offering designed for individual developers, available through the Red Hat Developer program.

On the previous conversation about this change, it was was pointed out that developers have to be individuals, and that if you are an organisation that uses RedHat you can't use this.

However I haven't been able to get anyone to confirm what the developer cost would be in that situation or if it is still free.
> paranoid AI risk cultists

There is broad consensus among experts that a hypothetical strong AI would be a threat, and potentially an existential threat, to humanity. While not everyone agrees on details like timeline and alignment issues, the idea that AI is dangerous is not a cult, it's the mainstream view.

Climate scientists cannot "predict the future" with certainty either. That doesn't mean their warnings are hot air, and neither are the warnings from AI safety experts. It seems like the educated masses are currently in denial about AI in much the same way as the uneducated masses have been in denial about climate change for a while.

Risk assessment doesn't require understanding. I don't have to understand how a venomous snake senses prey in order to know that the snake is a potential threat to me. In fact, the less I know about the snake, the higher the assessed risk should be, since the uncertainty is higher as well.
That password generator sets a new bar for readable INTERCAL.
That phrase is definitely not used enough. It seems like there's so many faux pas related to books these days, which is pretty tragic. Having too many unread books, only reading a couple chapters of a book, reading too slow, not remembering the last page well enough, and the list goes on. No wonder so many people find reading imposing.

Tangentially related to this would be Umberto Eco's Antilibrary: https://fs.blog/the-antilibrary/
So what's his secret?
Seems a bit exaggerated, I've never got the captcha on the chatgpt website. After that its hard to take it seriously since it seems like the app is marketing fluff with no substance behind it. It doesn't help that the video has music in it too, vs an actual demo
chrome, modified by some people.
I read that book, but don't remember what he had to say about psilocybin. Could you provide a tl;dr? I only remember that Feynman consumed weed recreationally and liked to use it to enhance his creativity and thinking in sensory deprivation tanks, but he never tried LSD, fearing it would permanently damage his brain.
What a fun read! Thank you for sharing it.
I apologize. I have changed title accordingly because I can't delete this post for some reason.
Pgsql is great in many ways, but not really superior to sql server, it really depends on what you need, e.g. columb encryption, data compression etc. We had indexing issues on postgres changing underlying OS bc postgres uses a lot of C libraries of the OS, and that is just wrong for a (multiplatform) RDBMS, it makes it less predictable.
Android works like you describe, for the most part. It would be great to have such a permissions model on the desktop.
To be clear, I don’t have a math background beyond a handful of undergrad classes (I studied biochem). I just really despise the anti-intellectual attitude of “YAGNI” applied to maths.
Ask HN: Design Equivalent to MIT Challenge?
I'm currently a SWE working at FAANGMULA, feeling a bit burnt out and exploring other paths within tech. I've been paying much more attention to the design space in tech and have become enamored with the idea of learning how to create similarly beautiful experiences. I've been particularly inspired by Andrew Wilkinson/Metalab, Brian Chesky/AirBNB, Apple, Any Distance, Flighty, etc. As I pay more attention to high quality design and UX, I'm realizing that outstanding design in and of itself can be enough to launch successful and beautiful software.

I've been searching for high quality online education to study design in a more formal and rigorous manner, something equivalent to the MIT challenge, but all I've found are RISD's online certificates which cost $10k, or youtuber/twitter influencer courses. I'm willing to pay the 10 grand for those courses, but if I'm going to spend that much I'd like some validation that its really worth it.

Primarily though, I'd love to hear from any designers here about how you learned and honed your craft.
Yes. But modeling language doesn’t mean you’ve made a good model of anything else. Now, I think LLMs have incidentally modeled a ton of small simple systems very well. But those systems, and the ones LLMs haven’t mastered, would be better off modeled with models built for those systems specifically.
In what ways do you find it better than Alfred? Asking honestly, I currently use it and haven't heard of Raycast before. Also it seems like it only supports ChatGPT 3.5 for now.
I tried searching Google for what BSOFH means, and your reply was on Page 1. Care to enlighten us?
"Not for me" is a really good concept and goes well beyond books.

Example: There was a story on HN this week about a guy who's "over the hustle," citing Bezos' "it's always day 1" ethos as an example of a horrible way to work.

I thought at the time that there are many people (a younger version of myself included) who enjoy working that way. It "wasn't for" the guy who wrote the story, but it is for some people.

Framing this way makes room for growth, too. Eg, if going to the gym "isn't for me" - am I leaving something valuable on the table? Is there reason to consider becoming someone it IS for?
> you will change your tune when the price of food increases 1000x and the midwest can no longer grow food

Fatalistic regret is a losing line of argument. The northern stretch of North America's Interior Plains is more than capable of feeding the continent. Prices will go up, but that will be in lifetimes, and will accrue to farmers here over elsewhere--that's something a savvy elite can position themselves to profit from.

There isn't a transactional argument for mitigating climate change that is self-interestedly rational for middle class Americans or Europeans. To the extent a sociopathic rich person in those societies looks at this, they'll likely see as much promise as risk. Change has to come from a sense of stewardship over our planet and compassion for less-fortunate people.
> But had they been adopted for what they are: well defined metadata according to vocabularies and ontologies that following accepted, interoperable standards, the development of ground truth and knowledge graphs would have been much more advanced that the current state.

Yes, this is very true.

As an addendum, I think many people in industry don't quite realise how prevalent RDF and RDF-based ontologies are in academia. They're one of the main ways researchers integrate data. No one cares about lofty ideals, it's about the usefulness of RDF graph model and the various associated standards built on top of it.
I'm particularly dubious that their scheme [1] could possibly be considered compliant in a jurisdiction which regulated or banned online gambling. The ruse of "we aren't gambling for money, we're just betting these worthless poker chips" is hardly new to the law, and I can't see how this is any different.

[1]: https://www.tilia.io/how-tilia-works
Internet packet switching architecture is an attempt to provide reliable networks over unreliable (low cost) components, and very successful on that.

Similarly, network or cyber security should be able to provide secure networks over insecure (untrusted) components.
> Large business wastes just as much money as govt

Delineating them is a fools errand from the start.
It's not second life in the video, it's rust - a mmo like game with a survival theme
QR codes that look good
> A LM doesn't understand "truthfulness". It has no concept of a sequence being true or not, only of a sequence being probable.

I claim that the human brain doesn't understand "truthfulness" either. It merely creates the impression that understanding is taking place, by adapting to social and environmental pressures. The brain has no "concepts" at all, it just generates output based on its input, its internal wiring, and a variety of essentially random factors, quite analogous to how LLMs operate.

Do you have any evidence that contradicts that claim?
Can you explain a bit the point you are making?
Did a devops elective last semester; I was surprised to hear that sleeping to wait for the system to come up was "common in the industry". 30 seconds was the magic number, which was somehow always either mostly a waste or not enough when I tried to use it.

For similar reasons, we similarly can't keep making sleep-sort faster by scaling the sleeps down.
It looks like you may have made a mistake similar to the ones described in https://www.gnu.org/licenses/gpl-faq.en.html#ReleaseNotOrigi... and https://www.gnu.org/licenses/gpl-faq.en.html#GPLIncompatible.... Basically, it's generally not useful to say "if you meet some condition, then you can have this software under the GPL", because any one person who meets the condition can basically end up making it GPL for everyone.
FTC is enforcing against companies that do this. https://www.ftc.gov/news-events/news/press-releases/2021/10/...
Things are invented and the legislation to restrict it and for select people to profit off of it comes later.

Pirating music from the internet used to be legal, or at least not strictly illegal.

Internet itself was uncapped and only limited by the physical hardware (eg the modem or the copper wire carrying the data).

I’m sure there are many other, better examples… but believe you me, there will be laws floated and probably passed that restrict household 3D printing as we know it.
The part of the WWW that I write and control has zero JavaScript. You tar everyone with a single brush highly erroneously.
I agree that it is no synchronization primitive and that even if it was, it's very fragile. However I found it in nearly every project I worked on, in backend tests, frontend tests and even in integration tests where the library driving the browser should take care of waiting for elements to appear on screen. Modals and browser dialogs are particularly good at breaking stuff.

The dynamic is: developers write the the test and it usually works on their machines. If it does not there is a chance that they figure out what's wrong and rewrite it in the proper way. Tests often work locally, where the CPU and disk are nearly 100% available to run them. Sometimes they fail on CI systems. Developers scratch their heads and attempt the easy fix of adding a sleep of 1 second. That almosts always work and it took 5 minutes, code, commit, test run. They know that it stinks but they have stuff to do. Every few months somebody attempts to remove some of those sleeps with mixed and often unsuccessful results. Integration tests are particularly nasty.
> every Youtube channel is also an RSS feed

Handy if you parse that into something like SQLite and use that as input for something like `yt-dlp` for channels you want to follow but which are generally unwatchable "live" due to, e.g., a 15 minute video having a near-2 minute sponsor segment and 5 inserted ad-breaks.

Or if you only want certain uploads from a channel, e.g. "A Closer Look" from "Late Night With Seth Meyers", it's simple to filter the RSS and only watch/fetch those.
It's a weird example, because it moves listener creation elsewhere, which is not always possible (e.g. consider if the goroutine would be spawning an external program instead of setting up the listener of its own).

Go has excellent primitive for this, a channel:

// Setup a channel. We'll send one and only one messsage over it, then close it.
// The message will be either an error (if something went wrong)
// or nil, if everything is fine and we can proceed.
ready := make(chan error)

go func() {
// No matter how this goroutine exits, when it exits the channel will be closed
defer close(ready)

// Do whatever we must: open a socket, run a subprocess, or something else
lis, err := net.Listen(...)
if err != nil {
// Let it be known we've failed
ready <- err
return
}
defer lis.Close()

// Announce the "parent" goroutine we're ready, without errors
ready <- nil
...
}()

// Here, we block and wait for our "child" goroutine to tell
// us something or at least die and close the socket.
// You can extend this and e.g. use `select` if you want to implement a timeout
err, ok := <-ready
if err != nil {
return fmt.Errorf("failed to start listener goroutine: %w", err)
} else if !ok {
return errors.New("listener goroutine died unexpectedly")
}

If there are multiple tasks and the case is not complex, then use sync.WaitGroup to count the children and a shared variable to convey the error status.
In a shifting workload their algorithm achieves a 0.01% hit rate whereas LRU, ARC, and LIRS have a 20% hit rate and adaptive W-TinyLFU has an almost 40% hit rate.
Zotero was key to finish my long delayed thesis, reducing the toil of managing a lot of references on a topic that I disliked more and more by the minute. Unfortunately back in the day they did not have yet the embedded PDF reader and highlighting features, but still was super helpful (I decided to stay away from Mendeley for license and affiliation reasons)

I still keep Zotero around for some projects that require more serious bibliography management. Glad to see advances in the note management direction, even if it is a add-on. While serviceable, the default note options always felt a bit rough to me.
I've seen several make the same observation, after testing, over the past six or so months.
Going Dark in Windows – Offline Single Player DRM Free Gaming
Are you perhaps confusing Venezuela with El Salvador?
Maybe the probability of dying per climb is only a few percent. But probably goes up as the climber gets older. And if you are exposed to that high risk repeatedly, it's almost certain to kill you eventually.

Of course everyone dies eventually, but I'm guessing the life expectancy of free soloers is significantly below average.
I think AI hallucinations are more than just incorrect information. They're incorrect information coupled with an air of certitude. Sometimes with a whole backstory. And often oblivious to any inherent contradictions. It's like, if you ask a random person what years Lyndon B Johnson was president, they might say something like 1964-1968, shrugging with a bit of uncertainty. And both of those years would be incorrect but close. Whereas an AI (if hallucinating) would say something like Lyndon B Johnson was president from April 15, 1865 – March 4, 1869, after the shooting of John F. Kennedy in Ford's theater. The dates are precise but completely wrong, as are the accompanying details. Then if you ask the AI when John F. Kennedy died, it might correctly respond November 22, 1963, in Dallas, TX, totally unaware how this information doesn't match with the erroneous information it gave earlier.

I've been thinking there's some parallels between how AIs hallucinate and how human toddlers do. If you ask a toddler/young child a question about a fact they don't know, they will usually say, "iuno" (even when they should), but depending on the child and the circumstances, they will sometimes just make up a story on the spot and sound as if they believe it. "Who invented ice cream?" "Santa Claus! Mommy left him milk and cookies and he turned it into ice cream." It doesn't make any real sense but it seems facially plausible in their universe.

But somewhere between first learning to speak and around 7ish, kids become markedly more accurate how they model the world, and their responses become correspondingly less fanciful. And they continue to improve beyond that point.

So how are kids doing what LLMs are currently incapable of? How do we teach ourselves not to hallucinate? Or do we, really? I mean, if I tell myself I'm going to make it through the intersection before the light turns red, but I end up running the red light, was I just mistaken, or was that a self-delusion, i.e., a mini-hallucination of sorts? Probably a self-driving car would be less likely to make that category of mistake, so maybe I shouldn't be so smug about being grounded in reality.
But that wouldnt be a great control since we'd be comparing the effects of psilocybin to that other drug instead of some kind of baseline.
IBM is laughing stock to everyone. Whoever would want to work there, it’s not young ambitious people.

But it’s also a 100-year oligopoly, it will take more time to die.

It’s also a golf company - its main activity is channeling golf courses to government members and management teams. You wouldn’t classify ClearQuest or DrWatson are serious pieces of software. DrWatson can be reproduced with a small python script, that’s why it sells so well: You sell the idea of AI to the press since 1995 and it gives a good image.

The business of IBM is mainly funneling money from governments to government members; from corporations to higher managers. It makes corruption legal. This kind of businesses thrive well in general.
Nobody in their right mind should be defending the ACA imo, and nobody here has done so as far as I can tell. Your comment is a special kind of annoying. Multiple strawmen.
> Not really

Really. It's a threshold problem. If the penalty for shoplifting is death, and the penalty for a massacre is death, a good number of sociopathic shoplifters will gamble for freedom via massacre. (It's rational.)

It's why dictatorships consistently flame out. If there is no peaceful transition of power, losing power means death. That incentivises a dictator on the edge to take risks that otherwise make no sense because even a minute chance of success is worth it.

In the context of a Russian revolution, this animates concerns around our species' first nuclear civil war.
A realist is someone who accepts reality as it is, not as they might be able to anxiously envision that it could be. Life is too short and attention too precious to fill the meme space with every dreamer's deepest concerns. None of these dramatic X-risk claims is based on anything but beliefs and conjecture. "Thinking dozens of times faster?" What do you even mean? These are models executing matrix multiplies billions of times faster than our brains propagate information, and they represent knowledge in a manner which is unique and different from human brains. They have no goals, no will, and no inner experience of us being frozen or fast or anything else. We are so prone to anthropomorphize willy-nilly. We evolved in a paradigm of resource competition so we have drives and impulses to protect, defend, devour, etc., of which AI models have zero. Anyone who has investigated reinforcement learning knows that we are currently far away from understanding let alone implementing systems which can effectively deconstruct abstract goals into concrete sub-tasks, yet people are soooo sure that these models are somehow going to all of a sudden be an enormous risk. Why don't we wait until there is even the slightest glimmer of evidence before listening to these prophets of doom?

This pseudo-intellectual belief structure is very cult like. Its an end of the world scenario that only an elite few can really understand, and they, our saviors, our band of reluctant nerd heroes, are screaming from the pulpit to warn us of utter destruction. The actual end of days. These "black box" (er, I mean, we engineered them that way after decades of research, but no, nobody really understands them, right?) shoggoths will be so incredibly brilliant that they will be able to dominate all of humanity. They will understand humans so well as to manipulate us out of existence, yet they will be so utterly stupid as to pursue paper clips at all cost.

Maybe instead these models will just be really useful software tools to compress knowledge and make it available to humanity in myriad forms to develop a next level of civilization on top of? People will become more educated and wise, the cost of goods and services will drop dramatically, thereby enriching all of humanity, and life will go on. There are straighter paths from where we are today to this set of predictions than there are to many of the doomsday scenarios, yet it has become hip among the intelligentsia to be concerned about everything. Being optimistic is somehow not real, (although the progress of civilization serves as great evidence that optimism is indeed rational) while being a loud mouthed scare mongerer or a quiet, very serious and concerned intellectual, is seen as respectable. Forget that. All the doomers can go rot in their depressive caves while the rest of us build a bad ass future for all of humanity. Once hail bop has passed over I hope everyone feels welcome to come back to the party.
You brought back my childhood memories, thank you!
Hmmm, maybe I should have said "any supposed-to-be-registered vehicle"!
And be input for a system as I interpret it. Maybe a creative student can figure out how to rig it for future generations.
https://en.wikipedia.org/wiki/Bastard_Operator_From_Hell is a good place to start on these satires.

"The phone rings. I thought I'd fixed that!"
The active can have positive, negative or synergistic effects on cognition or whatever you're testing, as well as effects on the body and metabolism.
That's because authority figures don't actually mean it when they tell people to "always think critically".

What they really mean is "think critically when others tell you something, but accept as gospel everything I am telling you".
Some people continue to over eat after feeling full.
If necessity is the mother of invention then revolution is the father.
Thanks for making this free
Would you feel the same way about a bulimic/anorexic person? What about someone that’s addicted to opioids?
I have updated the instructions. Will also create a docker image soon :)
Woah thanks, looks like it was dismissed and that recording is allowed.
My guess it that there is some cross-pollination and benefits from and to both sides. Machine Learning / LLMs benefit from having higher quality data that they can be trained from or that you can use to automatically add more relevant context behind the scenes.

Semantic technologies or let's say "structured data entry" can benefit from having better auto-suggestions and validations from machine-learning.

The part that I find real interesting is how we put the users in between, so they're in full control and can use AI as an "assistant", but improve on it. And that the "structured data entry" helps the users to give him structure (that will later be helpful to the end-consumers).