skysight-inc/HackerNews huggingface dataset:
> some of those people with "no time" and it has 15+ hours on ticktok this week...

Sometimes this is the result of black-hat products hacking their dopamine cycle, in which case screentime or a friend can help. However, I've found that in some cases staying on top of the zeitgeist like this is actually in someone's 3-5 priorities. In that case saying they have "no time" for X is another way of saying that using TikTok is a higher priority than X for them. (Baffling to me, but a valid choice.) I similarly know people who spend a non-trivial amount of time on other "useless" activities like watching TV shows, playing video games, reading novels, learning esoteric languages, growing plants with no utility, commenting on online forums, etc. Who am I to judge if they find it valuable?

So as technically imprecise as "I don't have time" is, I understand why people use the expression. When someone suggests that I should volunteer for a cause, participate in an activity, go to an event, learn a skill, watch a TV show, read a particular book, learn a language, etc and I tell them that it isn't a high enough priority to displace any of my existing priorities, they sometimes get defensive and/or attempt to litigate my current priorities.

> I'm reasonably sure your boss would happily let you allocate an hour every now and then to improving yourself as an employee

Absolutely, this is a major perk that knowledge workers should take advantage of. I'm spending quite a bit more than "an hour every now and then" to learn about LLMs and accessibility because they are in the intersection of my interests and my job responsibilities. However quantum computing (or game design, solar vehicles, gardening, etc) are not in that intersection and would count against one of my discretionary priorities.
Same. Had issues, but they have since been fixed. According to the dev, YT was serving a bad-muxed VP9 byte stream. But one can hardly call this a deliberate act against FF when the fix was patching the WebM demuxer to handle segments better.
This is very cool, but it seems like a lot to build to optimize the load balancer.

I'm curious why there isn't a discussion of "Power of Two" load balancers. They do a VERY good job getting close to near optimal load with relatively simple overhead. Vs something like what dropbox built which is a pretty heavy system

https://medium.com/the-intuition-project/load-balancing-the-...
No, but wikipedia has a whole page on the topic, with some sources:

https://en.wikipedia.org/wiki/Fertility_and_intelligence
In the same way React Native still uses JSX, Dioxus uses RSX even if those widgets are rendered natively (say, on the GPU).
A better example in the US is the thousands of innocent black men who have been hanged from a tree because "everyone knows they did it"
> No on asked.

I think he was just expressing frustration that the people who seem to have the most 'knowledge' about weight loss also seem to be the people who are not able to manage their own weight. This is despite the fact that controlling your weight is incredibly simple to do, it's literally "do the most obvious thing". The truth is that this is very hard to do, and in the face of an inability to control their own behavior they instead convince themselves that there's something very complicated going on.
>The photo below is captioned with casual racism: One way of carrying bananas: At the docks of the United Fruit Co., mechanical carriers, so perfected as not to bruise the fruit, have replaced the leisurely negro.

Nitpick:

That wasn't a prevailing stereotype back then so dismissing it as simple racism reduces the historical insight that can be gleaned. The idle black man stereotype comes from the 1960s and later and originates in the US. Prior to that they would be stereotyped the latin Americans are typically stereotyped today, hard working but low class laborers, so the commentary from the period that was added to the photo actually raises the question why these dock workers were being considered leisurely.

Now I'm wondering why they wrote that...
Yes and:

Current recycling tech is pretty terrific (IIRC ~98% recovery of lithium, misc metals). Enabling the long fabled "circular" economy.

At some point we'll hit a (near) equilibrium. IIRC, ~20 years out. (Assuming Li-ion battery tech continues to improve at current rate. Thereby balancing out the lithium lost during recycling.) So we'll hit something like "peak lithium", greatly reducing mining (extraction) of new lithium.

Recycling is much cheaper than mining (both $ and CO2).

(I believe, but obliviously can't prove, that sodium (et al) batteries will enable new use cases and markets, complimenting lithium rather than replacing it.)
AI isn't magic. It's still subject to the limits of classical computing.
My understanding is that UK chocolate is different from Continental European chocolate in the amount of vegetable fat, so I wouldn’t take UK chocolate as being representative of Europe.
It's called garnishment [1]

[1] https://en.wikipedia.org/wiki/Garnishment
I actually have built such a tool (two AIs, each with different capabilities), but still cringe at calling at agentic. Might just be an instinctive reflex.
Nice! Shame that I didn't knew about it earlier
https://hasthelargehadroncolliderdestroyedtheworldyet.com/
Anyone else annoyed how the ML/AI community just adopted the word "reasoning" when it seems like it is being used very out of context when looking at what the model actually does?
A tangent, but is there a clear best choice amongst those models for AOC type questions?
Is v0 Worth the Hype?
I would like to clarify since I am one of the people who is always present in these threads debating these licenses:

I think these licenses suck compared to even kind-of-bad open source licenses, like AGPL, though some suck more than others. For example, the SSPL is a poorly-conceived liability nightmare. BUSL, on the other hand, may not be much better, but it is pretty interesting. Software that is BUSL today is theoretically open source eventually. As long as this holds up in court, it is an intriguing alternative to other "business" licenses.

However: it was never about this. My complaints always center squarely around two things:

- One, deception. If you release a product and you call it "open source" or otherwise try to imply it is open, but actually it is not open source, this is bad. This is bad because like it or not, people have a perception of what open source is that has been shaped by the careful guarding of the definition of the term, and when people misuse it, it dilutes this while also deceiving people into thinking it's the same thing they've come to know.

- Two, violation of expectations. I get that the contributions made by open source contributors rarely compares much to the contributions made by those employed at companies, but even still, the CLA breaks the fundamental mutually beneficial relationship that open source contributors have with the projects they're contributing to, and I think that this aspect of CLAs is troublesome. That aside, I personally evangelized Redis within organizations with the understanding that it would always be open source, because why wouldn't it be? And I reckon that big open source users like MediaWiki also never envisioned that Redis would cease to be open source some day. Don't get it twisted, I think Redis is great software that can stand on its own, but it doesn't matter: it didn't. It got a healthy boost from participating in the open source community, and then one day, it suddenly left said community in the dust, which is why we have to fork.

However, despite that... I am not ideologically opposed to closed-source, source-available, or any other kind of software. It's fine. I use software that is "non-free". I pay for software. I pay for JetBrains Toolbox. This does not bother me and is not my issue. It's literally just those two things that bother me.

So why don't I care about MaxScale? Honestly, it's pretty simple: It's outside of my purview. It may very well be an important project used by a lot of people, but it just doesn't seem like it was ever a huge open source project: according to GitHub, it has a total of 39 all-time contributors, most of which seemingly after the relicensing, versus Redis's 729. I've never used MaxScale and I'm not sure what depends on it. If someone else is mad about this relicensing, I do not necessarily blame them, but I just simply have no dog in the race.

MySQL and MariaDB themselves remain as open as ever, and that's really all most people are concerned with IMO.
Hey this is great to see, congrats on the launch!

I've been researching 'local first' solutions like electric recently and tried out powersync, triplit and instant for now. All three of these solve for both reading and writing to databases, with offline support.

Wondering if you have plans to support writes too.
Of course, by that definition all forms of power generation are fusion, more or less removed from the fusion reactor in question.
Show HN: ScreenBreak – Gamifying self-control for screen time management
Social media platforms are relentlessly optimizing their recommendation algorithms for engagement - and by extension, profit. While these algorithms excel at surfacing relevant content, they've also become incredibly effective at exploiting our cognitive vulnerabilities. What started as "let me check one video" now routinely turns into hours of doomscrolling. The algorithms have gotten too good at their job.

Apple's original screen time control is too simple - it allows +15 minutes infinitely and doesn't help much, at least for me. I tried several third-party screen time control apps, and some are quite good. As a programmer learning iOS development, I wanted to build something slightly different - yet another screen time control app that suits best to my personal needs. That's how ScreenBreak was born, with its focus challenges and more fine-grained analytics.

ScreenBreak introduces "focus challenges" - mini-games you must complete to access blocked apps. Want to check Instagram? Draw a perfect circle first. Need TikTok? Tap the screen 200 times in 60 seconds. After 5 minutes of usage, the app gets locked again, requiring another challenge to continue. These challenges are designed to be just annoying enough to break the dopamine loop, but engaging enough that users don't immediately uninstall the app. I'm actively building new challenges and exploring different ways to help people preserve their sanity while exploring social media content. The goal isn't to completely block these platforms - they're valuable tools for information and connection - but to help users engage with them more mindfully.

Beyond challenges, ScreenBreak provides detailed analytics to help users understand their digital habits. You can track your app usage patterns across different times of day, compare week-over-week trends, and see which apps consume most of your screen time. These insights often reveal surprising patterns - maybe you spend more time on TikTok during work hours than you realized, or perhaps your late-night Instagram sessions are longer than you thought. Understanding these patterns is the first step to changing them.

As the sole heavy user testing this app, I've seen my own TikTok screen time significantly decrease while still staying updated with news and trends that matter to me.

What's Next:
- More challenge types? (currently testing memory games)
- Social features (compete with friends on challenge scores)

Try it out:
https://apps.apple.com/us/app/screenbreak-screen-time-focus/...

Would love feedback from the HN community on:
- What types of challenges would you find most effective?
- How do you think we can better combat algorithmic engagement?
- Feature requests
Is there actually a BLAS implementation that uses strassen?

I don’t think it’s accurate that only trivial implementations use the direct o(n^3) algorithm. AFAIK high performance BLAS implementations just use highly optimized versions of it.
Really? I thought that no practical linear algebra library used the Strassen algorithm. Can you provide a source?
dist author here. since darren0 was so kind to reference my tool, I'll just add dist is written in go, is cross platform, can handle github, gitlab, homebrew packages (with caveats), and a few others and you can create custom aliases as well. there are a few additional features in the works right now. also supports signature and checksum verification if available.
The problem, to my eye, is lack of contrast. It’s something I’ve started to notice more and more in modern designs — grey dividing lines/objects that are too close to the light background, failing to stand out.

My hypothesis is that the designers and developers are all using $3k MacBooks with the ultra high quality screens that can reproduce colors that humankind could never have imagined, while I’m using a ten year old piece of crap LCD monitor that seems to be staying alive simply to spite me.

Either that, or I’m getting old and my vision is starting to slowly fade.
There is the compute vs communicate ratio.

For problems like Matrix Multiplication, it costs N to communicate the problem but N^2 operations to calculate.

For problems like dot product, it costs N to communicate but only N operations to calculate.

Compute must be substantially larger than communication costs if you hope to see any benefits. Asymptotic differences obviously help, but linear too might help.

You'd never transfer N data to perform a log(n) binary search for example. At that point communication dominates.
Our world is boring though, cf Boötes Void. Those transcendental extrauniversal aliens invented quantum physics, what do you expect them to believe? If their world can create such immense simulations, maybe it's because their world is too fabulous and they look for serenity.
nice work marverix, love seeing bash used like this.
Because the ceo of a public company tweeted about it. If it was a professor at mit people wouldn’t jump to that conclusion.
OK, I see I skipped that. Nevertheless, I would expect users to read "exactly once" and put an http call in the step. It's the type of knife people their hands with.
This other company is clearly part of the same legal operation and should also be held liable.
From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step
That's great to hear. Where I live even schools that close end up being re-opened with new names.

This article is good and its conclusions are mostly[0] sound:

https://open.substack.com/pub/sfeducation/p/wanted-careful-a...

[0] I strongly disagree with the conclusion that, if government-run schools have excess capacity, then we should prevent charter schools from being opened or expanded.
> It isn't stated that Dropbox saved millions annually from this change. But, based on the cost and resource savings they mentioned from implementing Robinhood, as well as their size. It can be inferred that they saved a lot of money, most likely millions from this change.

So, clickbait.

The entire thing is a terrible summarization of Dropbox's own blog post about the topic (linked elsewhere in this thread). Better to read that instead.
I use a Claude and Gemini a lot for coding and I realized there is no good or best model. Every model has it's upside and downside. I was trying to get authentication working according to the newer guidelines of Manifest V3 for browser extensions and every model is terrible. It is one use case where there is not much information or right documentation so every model makesup stuff. But this is my experience and I don't speak for everyone.
You know, if Elon buys it at the same levels of inflated values he did for Twitter so that the creditors get paid, I'm kind of okay with that. Just kind of. His fix will not go to Jones. Jones is not going away however this ends. Just the brand. He can create a new brand.
"Refuse" is an action verb, "Dislike" is a stative verb. The infinitive phrase ("to allow") serves as a complement to the verb "refuse," forming a grammatically correct structure. refusare = deny.
It is interesting to see that they keep focusing on the cheapest model instead of the frontier model. Probably because of their primary (internal?) customer's need?
It's true that there are very good things that aren't products. It's also true that public goods come at the expense of private goods. I've lived in several places with "free" healthcare, including Canada right now, and while it can be a great system, it can also come at the expense of a huge tax bill that eats into other spending and slows down the whole system.

> > The US consumer rules the world.
> Yes to the detriment and suffering of a sizable portion of the world's population.

Why is it then that real income & wealth (and with that, life outcomes) have shot up in all the "sweat-shop" countries that stock the shelves of Walmart?

> Yes, in a world where we vote with our dollars, a car and a bus are going to be the only options for poor and middle class families. But in Japan, China, Spain, France, and countless other places countless poor and middle class families ride bullet trains. How come we didn't vote with our dollars in to bullet trains in the USA?

Have you been to these kinds of places? I've lived in several, and spent significant time in many. Poor and middle class people aren't taking bullet trains to work anywhere in the world. Those things are hella expensive to build and run and ride. Even rich, dense London with its world class mass transit has a hard time delivering an acceptable experience compared to an F150 and a stretch of wide tarmac.

For most poor American families, living in a big house in a small town and owning one or more cars is the optimal solution, not some utopian pipe dream involving high-rises and buses.
Google unveils Project Mariner: AI agents to use the web for you
The curse of a Two Party System.

Maybe you might have a bigger chance to force a change inside a party, but currently only the Dems do have something that resemble a political party.

Voters have no say in GOP, even the GOP leadership themself doesn't have anymore. Last election there was a large out-walk, overtake is now complete. Just a few people behind the MAGA facade call the shots atm.
Yeah I hate it when AI companies throw around words like AGI and agentic capabilities. It’s non sense to most people and ambiguous at best
This is misrepresentation, they didn't just happen to make a mistake in a complex situation. The crime was to know about the mistake and still not fix it - on purpose. The crime was to know that they should be giving people training on this system for safety reasons but they didn't anyway. Afaik it is an additional misrepresentation that the same system is now continuing on to fly. It is not, they fixed it and patched it.
Looks nice. Is it possible start_chrome() with specific chrome browser profile name or re-use existing open firefox/chrome browser session and launch a new tab with specific domain?
Yes. In a sense, your behavior launders adtech’s poor reputation.

Think of it like this: what if I tried to argue with you “think of all the good we can do with the profits from the baby-pulping machine!” as an executive of the baby pulping company. Maybe I run a dog adoption agency with the profits, or a soup kitchen. I’m using acts of charity as a way to launder the horrific actions of my company.
I don't think you're understanding what it means for training a model to "fail".

Sure, you can train a model to recognize a CGI teacup, but nobody cares. That's like testing if your scissors can cut air or if your car can move at 0mph. The goal of training on synthetic data is to be able to have the trained model operate on real world data, and the test is whether it can operate on real-world data. And it's unsurprising when a model trained on synthetic data fails to operate on real-world data.

Yes, it would be surprising if you trained an AI model on a CGI model and it failed to operate on the same CGI model. But that's not what's being tested, because that's trivial. That's not "probing MLP learning capabilities"--we know that works, and can even tune parameters to control exactly how well it works. We know exactly how complex the CGI model is, so we know exactly how much complexity we need to capture and how much complexity is lost at each step of the training process so we can calculate exactly how well the AI model will operate on that. You don't even need AI for that.

What we don't know is how complex the real world is. This presents a bunch of unknowns:

1. Is our training dataset large enough to capture most of the complexity of the real world?

2. Are our success metrics measuring the complexity of the real world?

3. Which parts of our training dataset are observed complexity (signal) and which parts are merely random (noise)?

> What I'm trying to get at is if you have two sets of training data, that are equal in every way, except that one is synthetic and the other is real-world and training always fails on the synthetic data one, to me that's as "impossible" (i.e. astounding) as the Slit-Experiment that proves wave/particle duality, but it seems that this is indeed the case.

No, that is not the case. We DON'T have two sets of training data that are equal in every way except that one is synthetic and the other is real world. That doesn't exist, and will never exist, because it cannot exist. This idea needs to be deleted from your thinking because it is objectively, mathematically, immutably, physically, literally, specifically, absolutely, inherently impossible.

It is unsurprising that training on synthetic data fails. Again: "fails" in this case, means that the model trained on synthetic data fails to operate on real world data--nobody cares if your model operates on the exact data it was trained on. The reason it is unsurprising that training on synthetic data fails to operate on real-world data is that synthetic data is inherently a loss of information from the understanding of real-world data that was used to generate it.

No matter how many CGI models of teacups you generate, your CGI models of teacups will never capture all the complexity of real-world teacups. So training an AI model on CGI models of teacups will always fail the only test that matters: operating on real world data containing teacups.
When Biden was trying to hand them over the country.

Effectively it was Trump who made that decision, via the Doha agreement.

Biden's role was merely to fumble the actual delivery as spectacularly as possible.
Also, as a Trump appointee, and given the relationship between Trump and Jones, the judge should recuse themselves.

If this case were an article in The Onion, it'd seem too unrealistic to be funny. Well done, Global Tetrahedron!
The size isn't stated, not necessarily a given that it's as small as 1.5-Flash.
A lot of crazy in here, but this is the lowest hanging fruit.

> and X is quite literally the only truly free and open space

> free

My brother, you need to literally pay money or your tweets get buried by those who do.

> open

Since taking control of the company, musk made it a closed platform. You now need an account to view tweets, before you did not.
> It's why I can't stand the 'information wants to be free' argument. Where the hell do you think that intellectual labor required comes from, the aether?

Assuming your goal is to understand - yes, that thinking is a product of time when people were altruistically publishing very high quality content on the web. The time before adspam, blogspam, llmspam, etc. You could punch queries into search engines and find no-nonsense sites with detailed information, not trying to sell you anything but rather just wanting to be the most complete resource about a certain topic.

I'm not saying that ethos works for million dollar movie production. But on the other hand the ethos of people needing to be paid evidently doesn't work for high quality informational content, given that it has all but disappeared in the torrent of commercialized/intermediated spam.