skysight-inc/HackerNews huggingface dataset:
Instead of going all-in on Android, you get to choose the apps that are most important to you and otherwise minimize your exposure to the privacy-grab. For example, if you'd really prefer to avoid using Android but do want mobile banking on your phone, just get the app for that and skip everything else.

Personally I like having Linux on the phone a lot for other reasons as well. For example, last summer I was backpacking in North America for several weeks. At some point I realized that I'd really hate to lose the photos on the memory card of my DSLR. Instead of getting another card and hiding the first one somewhere "theft-proof" in my belongings, I just went to BestBuy, got a memory card reader, plugged that into the phone, mounted the memory card filesystem and rsynced the files home over my vpn - which is exactly what I would have done if I had my laptop with me. Sure, I probably could have figured out a way to achieve something similar on Android as well, but having all the familiar tools available made it so much easier.
To underline the point, it got it wrong in exactly the same way 95% of current frontend developers do.

I think it's a good reminder how perfectly mediocre current AI is. That doesn't make it useless though: I'm way below mediocre in several things I need to do on most weeks in my work, so in those areas AI can be a great help.
Interesting site, but has a tracking addiction
I fully agree. Postgres has solved many of the problems that many are re-solving with GenAI related databases.

With txtai (https://github.com/neuml/txtai), I've went all in with Postgres + pgvector. Projects can start small with a SQLite backend then switch the persistence to Postgres. With this, you get all the years of battle-tested production experience from Postgres built-in for free.
There's whether or not you can make friends at all, and how choosy you are about who to make friends with, which aren't really the same thing.

As a moderate introvert (handle social situations OK but need the down time to balance), I just find some people aren't worth the effort, and like to save my energy for those that are.

But the weird/normal axis, I'm a little less comfortable with (similarly "neurotypical"/"neurodivergent"). Fundamentally I dislike the idea of letting the most boring people claim normal, in a similar way to how LGBTQ and nonwhite folks don't like it when cishet or white people claim normal. Most of the people I most enjoy spending time with are ADD, ADHD or ASD, and all the better for it. It's not like these are even disabilities, they're just different ways of being.

I'm OK with the labels themselves as a broad, shorthand way of understanding personality types / ways of seeing the world, but I don't buy that no-label people are more normal.
(Spoiler alert)

In https://arcprize.org/play?task=79369cc6 , the yellow 3x3 square shows you the pink pattern to look for, while allowing rotations (and ignoring the fact that the pattern may be next to other patterns)
I bet this person is from a different culture than you? I'm American raised in the states, and this read like a Brit. The author's domain is .uk (https://tink.uk/) so I suspect that's true.
Copilot Vision now in preview – a new way to browse
Source for Britons not reproducing? I’m seeing lots of young (single) mums around my estate which has been the norm for about 20 years at least - the first I saw this was my teenage classmate having a kid in Year 10.

Muslims tend to give all their sons a default name of Muhammad (even if it’s not their official name). Most will use the last name to differentiate them. Therefore even though that person’s name is Muhammad Robert, it still gets classed as Muhammad.
> ALL current LLMs are prone to confabulation. AFAIK, there is not a single model which is able to tell “I don’t know” instead of making things up.

I can't help but feel that people who keep parroting these lines haven't even bothered to take 30 days out of their lives to actually learning the basics of how LLMs work. LLMs are not "prone" to confabulation. They confabulate by design. That's how they work. They predict the next token based on probabilities derived from training data, not some magical ability to discern truth from falsehood.

The critical step people seem to ignore is that after the LLM generates a response, you need a filter to determine whether it's correct or not. But this is easier said than done! It can be done but in a very narrow range of cases, like generating code that passes a specific set of test cases or producing a Lean proof. The tests or proof verifiers act as that filter. But even here, you're far from guaranteed perfection. Test cases don't cover everything and proofs might be valid but still irrelevant to the problem.

Expecting an LLM to just say "I don’t know" fundamentally misunderstands what these models are. They're not epistemic agents. They don't "know" or "not know" anything. They just generate statistically plausible sequences. If that seems like a flaw to you, the problem isn't the LLM, it's your unrealistic expectations.
You are right...in a sense. And I do agree with you that this sort of thing might change, but only because the capitalistic system may not remain the most efficient system for advancing technology. However, we must also be careful because a change away from the current system may just mean a change to a new system that is even more equitable for technological growth, which implies that human beings will be even more like cogs in a machine.

After all, the reason we have capitalism is because it is the most efficient system to exchange goods for technological creation. But now that we are developing AI, a new centralized control may eventually emerge as more efficient. However, we will become even more expendable and while the transition may be beneficial in the short term for some, I doubt it will be very pleasant for humanity since technological development itself is inherently unsustainable (requires mining, energy usage, habitat destruction, etc).
The web today is worse than the web of 10-15 years ago. It's not a Google problem specifically.
I’m the author of tyleo.com. I’m happy to see folks innovating and building on the idea. I’m also surprised at how popular this topic is on HN!

Both of these posts add additional tweaks beyond `backdrop-filter: blur()` to enhance glass effects. We use different tweaks so it looks like the techniques in each of our posts is compatible. When I get around to it I’ll update my page to link to this new one.

Perhaps in a few weeks we will get the, “I’ve consolidated all the HTML glass effects on HN and this is what it looks like,” post :)
Location: Turkey

Remote: Yes

Willing to relocate: Yes if needed

Technologies: ML, Cryptography, JS, Typescript, Python, Go, [epi]genomics, system design and optimization.

Résumé/CV: https://drive.google.com/file/d/1OTJ2GDkiCkW_BEOh6QSWOc4H4iU...

Email: alpdeniz@protonmail.com
If you are not going to add anything technically, you should probably have 20+ reports.
That works but for a more robust solution you could look at https://pgbackrest.org
love this post just for the example of filter: hue-rotate(0deg); That's one I've never seen before!
Top internet sleuths say they won't help find the UnitedHealthcare CEO killer
So, I am building a cloud service getcloud.doshare.me , it is supposed to be affordable so the cheapest plan is at $0.2 or 19 rs but this could definitely be the cheapest thing I bought online, even though when people buy plans over Paypal it charges 0.4$ per transaction so technically I'm giving out money in return of cloud storage. Can something be cheaper than this?
"an article about a button not being a submit button"

This is just one of the points the article is making, and it isn't that the button isn't a submit button, it's that the button returned by the LLM has both characteristics of a submit button, and characteristics of a regular button.

I personally found the article interesting.
Except file, no one is giving the browser full access to their files so that it can render a shitty file picker
Like the sibling comment seems to be saying: a non-nil pointer would have to be set to some real (non-nil) pointer value anyway. So having a zero value does not seem to apply?
This is really interesting. I suspect there may be different reasons to take different approaches depending on surrounding CSS and elements.

A lot of UI work I do is experimenting with different ways to do things to find what’s cleanest for the specific situation.

Small note that the drag UX doesn’t appear to work on iOS.
They were in a transitional phase of independence.
Show HN: Smartpost – One click to get an AI-enhanced version of your tweet
Interesting point. However the fact remains that even long before the rise of the technologies you cite, people with resources were hoarding wealth and lording it over those who lacked it. The core issue here, in my opinion, is actually human greed and the fact that in some people it simply cannot be sated, regardless of how much they manage to acquire.

Capitalism attempts to harness that core flaw within our human nature rather than trying to suppress or curtail it. The followers of Capitalism effectively believe that empowering and legitimizing this greed will produce a form of collective well-being. Evidence of this can be seen in the a large variety of nonsensical theories that they have pushed over the years such as the infamous "trickle-down economics" theory.

At some point, humanity has to grow beyond treating life like a game where we are all trying to put points on the board. In our current iteration of civilization, Capitalism provides the basis of the rules we play by and money is the metric by which we keep score. Kicking Capitalism to the curb would only be the first step to evolving beyond infantile obsession. If we don't manage to do this, we will all pay a collective price.

The time to pay the piper will likely come sooner rather than later at the rate things seem to be going.

P.S. I really appreciate this discussion, thank you for taking the time to engage!
I mean they’re buying electricity for 10 cents and selling it for 60. They sell quite a few kw per hr that way at the fast chargers, and there are frequently lines so it’s not as if supply greatly outstrips demand.

Profit is the incentive.
the issue with downvoiting is a rather blatant attempt of playing a victim: "i just read... xxx moeny". It can be any number, mostly undisclosed.
https://security.googleblog.com/2024/11/retrofitting-spatial...
Not all resources can be grown like pie, notably land. Economics is the study of scarcity.
>> If it was structured with a reasonable amount of compute, and instead, time-accuracy gates were used for prizes, it would be much more open. But people do not use it because the game is rigged to begin with!

The entire benchmark is set up so as to try and make it _artificially_ hard for deep learning: there are only three examples for each task; AND the private test set has a different distribution than the public training and validation sets (from what I can tell; a violation of PAC-Learning assumptions and then why should anyone be surprised if machine learning approaches in general can't deal with that?).

Even I (long story) find ARC to be unfair in the simplest sense of the word: it does not make for a level playing field that would allow for disparate approaches to machine learning to be compared fairly. Strangely and uniquely, the unfairness is aimed at the dominant approach, deep learning, where every other benchmark tends to skew towards deep learning (e.g. huge feature-based, labelled data).

But why's that? If ARC-AGI is a true test of AGI, or intelligence, or whatever it is supposed to be (an IQ test for AIs) then why does it have to jump through hoops just to defend itself from the dominant approach to AI? If it's a good test for AI, and the dominant approach to AI can't really do AI, then the dominant approach should not be capable of passing the test, without any shenanigans with reduced compute or few examples.

Is the purpose to demonstrate that deep neural nets can't generalise from few examples? That's machine learning 101 (although I guess there's still those who missed the lecture). Is it to encourage deep neural nets to get better at generalising from few examples? Well, first place just went to a big, deep, bad neural net with data augmentation so that doesn't even work.
Generally, countries' systems only handle characters in names that are common in that country. Virtually no banking or ID system in Europe or the USA will handle Chinese names, for example. Even if they did at the technical level, it wouldn't actually help at a holistic level, because people who interact with these systems (bank tellers, policemen, etc) can't be expected to recognize any writing system in the world.

So, the reality is that you have to adapt to the country you're trying to live or do business in and the name systems that they can actually use. This can even mean you have to adopt a name that people can actually pronounce, as many Chinese people do when interacting with people outside East Asia

For example, Chinese is particularly sensitive to tone accent, which extremely few people outside that area can even distinguish, leading to hopeless mispronunciation. Consider that Ma2 and Ma4 are completely different words for a Chinese speaker, while a French speaker who hasn't studied this wouldn't even be able to tell that you are intentionally pronouncing things differently and not just your intonation.

And for a reverse example, if you want to move or do business in Japan, you should adopt a well-known Japanese pronunciation of your name, as otherwise Japanese speakers, who have an extremely limited syllable inventory compared to most other languages in the world, will just not be able to follow your name.
Hah yes, a bit like "Kia agree to let me steal their cars by making cars so stealable".
Letting somoene die to make more money is violence. But letting a hospital go bankrupt, which will eventually lead to others dying, would be no better.

We still struggle with the life and death decisions related to allocating capital do healthcare. Even single payer systems have this problem.

We can start by looking at what profit margins and administrative expenses are reasonable for health businesses. The free market generally solves these questiins, but it's notoriously deficient when it comes to healthcare.

Then we can find out how to best allocate the remaining money to maximize health outcomes while ensuring that the businesses are sustainable.
You forget that every young person will become old later (if alive). That's what they consider when looking at the future.
https://lmarena.ai
DoD Examining Unidentified Anomalous Phenomena
I saw the same stat, and felt like their definition was too restrictive (basically you had to spend 100% of your income on your bills). Usually a small amount of extra income gets spent and those people are also living paycheck to paycheck for all intents and purposes.
I don't think he _made_ anyone do anything, unless that's somehow a term of art?
Enemies of the People (2021) [pdf]
Could you give a reference on this 97 rule? I’m intrigued.
What about something like image improvement algorithms or NeRFs? They seem to increase information even if some of it is made up.
It was nuked before many people could see it.

Tendency of the median HN poster to not RTFA notwithstanding.
Land (and rent seeking) need to be a bad investment. Building housing (and building anything in general, whether it be housing, businesses, families, etc) should be a good investment.

Right now, with earned income tax, we do the exact opposite. We punish the people that do things, and reward the rent seekers with tax breaks (1031 exchange/low land value tax rates/senior citizen discounts/etc). The proof is in the pudding, everyone wants to become a rent seeker, and this is what society will look like if that is the case.
Not to take away from your work, but congrats on making Reddit ever so insufferable. I know bots have plagued it for years now, but this is probably the last nail in the coffin for me. How long until you make one for HN?

On that note - is anyone maintaining a directory of active forums? I grew up on forums and I wish to “return home”.
This is neat, although I pushed it later with incremental search and it seems to be skipping results as it only found ~50 when searching for `-000000000000`.
https://cs.opensource.google/go/go/+/refs/tags/go1.23.4:src/...

https://cs.opensource.google/go/go/+/master:src/runtime/mhea...

Looks like most of it is implemented directly in the runtime.
What is a reasonable use for a null character in a string? My first instinct is that strings with nulls in them should absolutely be rejected.
Because people don't care about the presence or absence of bugs, they care about getting their work or leisure done with the help of the computer. If the computer isn't working, then they can't get their work done, and so they are mad at whoever broke it (for example by upgrading it, or by adding a username with spaces inside it). If it's working, then they're happy, no matter how dangerously on the precipice it is.
It's the same scale as the orbits of the large moons of Jupiter (roughly 0.003 au–0.013 au). If you were standing on one of those, the others would appear as very large disks—some of them larger than the Earth moon.

(Jupiter itself would be much larger still).
How was some generated text worth any discussion about it's merits?
We each do our part. Every bit helps.
> The free market generally solves these questiins, but it's notoriously deficient when it comes to healthcare.

Can you please elaborate on this part? I don't see how this could be solved by market forces.

EDIT: Making healthcare for profit, would always put someone's life against someone else's new yacht. Is this how we want to assess these situations?
Well, do you help with upvoting and commenting the better submissions?

Right now you draw more attention to this article here ..
The irony is that people with this overly sensitive "conspiracy theory"-ometer largely have it from the amount of influence campaigns ran on them.
Thanks, I'll put it on my list.
You are starting to sound exactly what generated accounts by OpenAI would say in response to these kind of criticisms.
I’m asking you, dang, since you felt the need to make gp post, why you haven’t done anything about it.

Surely you didn’t read the article and think it covered the same ground as all the other links you provided.
It’s still memory-safe, so not that big of a gun.
Bracketed paste might help you. It's an option for readline so it goes in ~/.inputrc. There's a way to set these options in bashrc as well which I don't remember.

It inserts a control sequence before and after the pasted contents that makes bash not execute all the lines. Instead it will keep them in the command line, post which you can choose to execute all of them in one go with enter or cancel with ctrl C.
Is there an enterprise version of this?
This is not human feedback reinforcement learning, it is just traditional supervised reinforcement learning where the finetuning sets consist of problems and the correct answers. They do not call it supervised though because they have to say it is different than how they were finetuning until now.
ESA Mars Express satellite interactive model (2004)
This makes sense but I guess I thought public opinion would make a difference here because USA is a democracy and everything. That's at least from my understanding what is supposed to distinguish the USA from China.
I’m sure you mean well but reading GP’s post I’m convinced that the laziest and least trustworthy language to use is actually, “you’re sloppy.”

Good idea to think in systems and figure out how to lift the quality of the team but it’s okay to give direct feedback. Especially if the feedback is like GP’s in that it kicks off a constructive conversation, which iiuc is exactly what your final sentence there is waxing on about…

Edit; to be clear I’m suggesting to not aim to avoid conflict. Certainly don’t stoke it for no reason but there is a healthy kind of conflict and how it is engaged with, which builds trust, deepens human relationships, and leads to growth for everyone involved. Psychological safety etc
>> My perception is ARC tried it the other way for years but a lot of academics and AI pundits ignored or dismissed it without ever meaningfully engaging with it.

Your perception is very wrong and the likely reason is that as you say you're not an academic researcher. ARC made a huge splash with the original Kaggle competition a few years ago and it drew in exactly the kind of "academic researcher" you seem to be pointing to: those in university research groups who do not have access to the data and compute that the big tech companies have, and who can consequently not compete in the usual big data benchmarks that are dominated by Google, OpenAI, Meta, and friends. ARC, with its (unfair) few-shot tasks and constantly changing private test set, is exactly the kind of dataset that that kind of researcher are looking for, something that is relatively safe from big tech deep neural nets. Even the $1 million prize seems specially designed to be just enough to draw in that crowd of not super-rich academics while leaving corporate research groups insufficiently motivated.

Besides which, I won't name names but one of the principal researchers in the winning system is just one of those academics. I don't know which is the period you mean ARC was ignored by the academic community but that particular researcher was in a certain meeting of like-minded academics two years ago where one of the main areas of discussion was in short "how to beat ARC and show that our stuff works".
High heat is preferentially killing the young, not the old, research finds
"Dragon's Egg" by Robert L. Forward, published in 1980, is a hard sci-fi novel about intelligent life forms living on a neutron star. It's superb.
I'd strongly suggest addressing the points I've made rather than resorting to a lazy dismissal like I "sound like a generated account." It's a non-argument and contributes nothing.

For the record, I'm not affiliated with OpenAI. I use ChatGPT often. It solves my problem many times. Many times it fails miserably. I neither love it nor hate it. It is what it is.

My frustration stems from the sheer laziness of some posts and comments about LLMs here on HN. The ones that irritate me the most are those that expect LLMs to somehow possess magical abilities like being able to inherently distinguish between correct and incorrect outputs. Where does this expectation even come from? Have these people spent no time at all understanding how LLMs actually work? No? And yet they expect magic? It's baffling!

If you have a substantial critique of the points I raised, by all means, share it. If not, please spare me the hand-waving dismissals.
I use all of them pretty consistently! I try not to have them do magic, but using native date pickers and dropdowns and selects saves so much time and headache - and they work consistently.
The free speech is a US thing. Most EU countries do have freedom of expression, but not 'free', speech. It comes from "European Convention on Human Rights" which has some limitations.
How are you doing your math?

If they have $1k left in available credit, and they were making tech wages, that means on just that one credit card they are probably $9k to $24k at least in the negative already. The $1k of remaining available credit is not yet debt, but the negative bank balance is.

It is also likely they have more than one credit card, and maybe also some student loans.
May be a good way for the kids to grieve. They take divorce worse than the death of a parent psychologically.
Are you afraid of running out of land?

https://johnmjennings.com/how-much-of-the-u-s-is-inhabited/
Here you go; every SSN: https://github.com/panzertime/every_ssn
I'm sorry, but I'm not a fan of this. It will only accelerate the dead internet theory.