MurphyA/hacker-news huggingface dataset:
by TeMPOraL | 2025-07-07 18:11:17+00:00
I think it's applicable to both, but I didn't play much of either :). But it's a method I employ in other similar puzzles and games, including "Baba Is You" in particular.

The approach works in big part because these kinds of puzzles intentionally have very few degrees of freedom. Every element of the puzzle has a specific role to play, so if you look at a piece at random and notice something interesting about it, it's almost certain that this aspect is a part of the solution.

This is very similar to math and physics problems in school as well: they're intentionally structured to contain exactly the minimum amount of data that's necessary for a single solution; take anything away, and the problem is unsolvable. Solving these, students are taught to check if they used all data provided - if they didn't, it means their solution is wrong. A less obvious realization is that this also lets you make educated guesses at the solution - since every piece of information has, by design, a specific role to play, you can start guessing what those roles are; if those guesses start to connect into a structure, it's highly likely you've just identified the middle part of the solution.

Non-puzzle games, as well as real-world scenarios are, unfortunately, almost always underconstrained and full of irrelevant information; most things you see are there for random reasons, entirely unrelated to the problem you're solving. However, they may still be useful, so it's worth looking around anyway.
by laborcontract | 2025-07-07 18:11:27+00:00
Really like this. I've been trying microsoft's copilot and it's so clunky, particularly when applying edits. One would assume they have the resources to train the model..

Request: please provide a system prompt in the docs to help the llm generate the diff format that performs best w/ your models. LLMs frequently change the way they present diffs on upgrades and I don't want to be guessing which format is best.

EDIT: Please clarify your privacy policy. If my interpretation is correct, paying users will have their data retained and trained on? Is there any way to pay to use the service (w/o picking up the phone) and not have my data trained on?

4.1 Use of Service Data Depending on your subscription tier: Free Tier: We may use your submitted code data to train our models, improve our Services, and develop new features. Engineer Tier: We may use your submitted code data to train our models, improve our Services, and develop new features, subject to the confidentiality provisions in your service agreement. Enterprise Tier: We do not use your submitted code data for any purpose other than processing your immediate request. Your code data is never used for model training or service improvement.

[0] https://morphllm.com/privacy
by CaptainFever | 2025-07-07 18:11:29+00:00
It's already quite widespread and likely legal for average people to train AI models on copyrighted material, in the open weight AI communities like SD and LocalLLaMa.

Please, please differentiate between pirating books (which Anthrophic is liable for, and is still illegal) and training on copyrighted material (which was found to be legal, for both corporations and average people).
Ask HN: What happened to W3C's PROV initiative to add provenance to the Web?
by azhenley | 2025-07-07 18:11:37+00:00
W3C published a set of in-depth documents in 2013 to standardize the specification and sharing of provenance data for web resources [1]. In this context, "Provenance is information about entities, activities, and people involved in producing a piece of data or thing, which can be used to form assessments about the data or thing's quality, reliability or trustworthiness."

However, it doesn't seem to have been adopted virtually anywhere. Although follow-up submissions have still been made as late as 2024 [2].

Does anyone know what the current status is or why it failed to gain momentum?

[1] https://www.w3.org/TR/prov-overview/

[2] https://www.w3.org/submissions/2024/SUBM-prov-jsonld-20240704/
by perching_aix | 2025-07-07 18:11:49+00:00
Do you actually consider this is an intellectually honest position? That you have thought about this long and hard, like you present this, second guessed yourself a bunch, tried to critique it, and this is still what you ended up converging on?

But let me substantiate before you (rightly) accuse me of just posting a shallow dismissal.

> They don't want to.

Who's they? How could you possibly know? Are you a mind reader? Worse, a mind reader of the masses?

> It seems a lot of people are uncomfortable and defensive about anything that may demystify LLMs.

That "it seems" is doing some serious work over there. You may perceive and describe many people's comments as "uncomfortable and defensive", but that's entirely your own head cannon. All it takes is for someone to simply disagree. It's worthless.

Have you thought about other possible perspectives? Maybe people have strong opinions because they consider what things present as more important than what they are? [0] Maybe people have strong opinions because they're borrowing from other facets of their personal philosophies, which is what they actually feel strongly about? [1] Surely you can appreciate that there's more to a person than what equivalent-presenting "uncomfortable and defensive" comments allow you to surmise? This is such a blatant textbook kneejerk reaction. "They're doing the thing I wanted to think they do anyways, so clearly they do it for the reasons I assume. Oh how correct I am."

> to any notions of trying to bring discourse about LLMs down from the clouds

(according to you)

> The campaigns by the big AI labs have been quite successful.

(((according to you)))

"It's all the big AI labs having successfully manipulated the dumb sheep which I don't belong to!" Come on... Is this topic really reaching political grifting kind of levels?

[0] tangent: if a feature exists but even after you put an earnest effort into finding it you still couldn't, does that feature really exist?

[1] philosophy is at least kind of a thing https://en.wikipedia.org/wiki/Wikipedia:Getting_to_Philosoph...
by PaulHoule | 2025-07-07 18:12:05+00:00
I think it's overloaded now.

This factor analysis for legislator behavior is pretty interesting

https://en.wikipedia.org/wiki/NOMINATE_(scaling_method)

It almost always gives one left-right dimension except in really unusual cases of a political system in the throes of change, such as the US in the late 1960s when segregationism was coming apart in the South. I've thought that it oughta be possible to do the same for ordinary citizens who sometimes answer a panel of 50 or so questions on a public opinion poll. I've got the data to make it work but the dimensional reduction methods that I've used for continuous variables don't work well for categorical variables where you need a different loss function.
by nowahlot | 2025-07-07 18:12:16+00:00
Is aging bad though? Seems like natures way of helping humanity evolve.

As individuals it may seem bad. As a species, keeping old ideas in the form of ossified biology around seems like a bad idea.

For example: see 70-80 year old politicians ageist assault on future generations.

Physics is ageist and its march towards entropy unstoppable. Anti-aging is just more first worlders who can ignore externalities thanks to fiat wealth, engaged in vain wank.
by averynicepen | 2025-07-07 18:12:20+00:00
Direct comparisons of the shortcomings of conventional therapy in direct comparison to LLM therapy:

- The patient/therapist "matching" process. This takes MONTHS, if not YEARS. For a large variety of quantifiable and unquantifiable reasons (examples of the former include cultural alignment, gender, etc.), the only process of finding an effective therapist for you is to sign up, have your first few sessions spent bringing them up to speed(1), then spend another 5-10+ sessions trying to figure out if this "works for you". It doesn't help that there's no quantitative metrics, only qualitative ones made by the patient themselves, so figuring it out can take even longer if you make the wrong call to continue with the wrong therapist. By comparison, an LLM can go through this iteration miles faster than conventional therapy.

- Your therapist's "retirement"(2). Whether they're actually retiring, they switch from a mental health clinic to a different clinic or to private practice, or your insurance no longer covers them. An LLM will last as long as you have the electricity to power a little Llama at home.

If you immediately relate to these points, please comment below so I know I'm not alone in this. I'm so mad at my long history with therapy that I don't even want to write about it. The extrapolation exercise is left to the reader.

(1) "Thank you for sharing with me, but unfortunately we are out of time, and we can continue this next session". Pain.

(2) Of note, this unfortunately applies to conventional doctors as well.
by SkyPuncher | 2025-07-07 18:12:41+00:00
I thought it was a somewhat common medical term, but all of the sources are from SSRI withdrawl (which is likely still the same symptom, just a different reason). My apologies for leaving it ambiguous.

For me, it basically felt like my brain was misfiring when it'd respond to some sort of external stimuli (often basic work tasks). It was almost like my brain was getting a muscle cramp combined with a dose of adrenaline (think getting scared). It was almost like a thought would fire off in my brain, cascade around a bit, then never find anything. I could feel my brain searching for connections, but never making them.

My best guess is I was essentially in fight or flight mode so severely that all of my thoughts were firing off my lizard brain type reactions. My brain was reacting as if I were in a deadly situation, just trying to keep me surviving.
by Animats | 2025-07-07 18:12:49+00:00
Waymo's system generates a map of the environment, with obstacles, other road users, and predictions of what other road users will do. That map can be evaluated, both by humans and by later data about what actually happened. Passengers get to watch a simplified version of that map. Early papers from the Google self-driving project showed more detailed maps. The driving system runs off that map.

So there's an internal model. Much criticism of AI has been lack of an internal model. This problem has an internal model. It's specialized, but well matched to its task.

We see this in other robotics efforts, where there's a model and a plan before there's action. Other kinds of AI, especially "agentic" systems, may need that kind of explicit internal model. In a previous posting, about an AI system which was supposed to plan stocking for a vending machine, I suggested that there should be a spreadsheet maintained by the system, so it didn't make obvious business mistakes.
by soganess | 2025-07-07 18:12:52+00:00
There is a big difference between the above 'request' and, say, me politely asking the time of a complete stranger I walk by on the street.

Requests containing elements of hostility, shame, or injury frequently serve dual purposes: (1) the ostensible aim of eliciting an action and (2) the underlying objective of inflicting some from of harm (here shame) as a means compelling compliance through emotional leverage. Even if the respondent doesn't honor the request, the secondary purpose still occurs.
by zzo38computer | 2025-07-07 18:13:02+00:00
There are a few things which could be done in the case of a situation like that:

1. I might consider a thing like that like any other feature request. If not already added to the feature request tracker, it could be done. It might be accepted or rejected, or more discussion may be wanted, and/or other changes made, etc, like any other feature request.

2. I might add a FAQ entry to specify that it does not have such a feature, and that ChatGPT is wrong. This does not necessarily mean that it will not be added in future, if there is a good reason to do so. If there is a good reason to not include it, this will be mentioned, too. It might also be mentioned other programs that can be used instead if this one doesn't work.

Also note that in the article, the second ChatGPT screenshot has a note on the bottom saying that ChatGPT can make mistakes (which, in this case, it does). Their program might also be made to detect ChatGPT screenshots and to display a special error message in that case.
by pjerem | 2025-07-07 18:13:15+00:00
> Personally I don't believe a real free market can exist anyway. There always has to be a balance between socialism and capitalism.

I 100% share this but I can’t understand how even the most capitalist (ideologically) person in the world would not want to create rules to at least avoid actors to become too big.

Monopolies are a bug of the capitalism and they break it from the inside. When monopolies aren’t kept at bay, you aren’t even in capitalism anymore.
by Cort3z | 2025-07-07 18:13:24+00:00
As far as i understand, this is not +-300ms. It is 300ms vs. 10 sec or something. That is a huge difference. I personally find the time to wait for these larger models a limiting factor. It’s also probably a resource waste for fairly simple task like this. (Compared to the general function approximation of the llms)

But I honestly feel like the task of smartly applying edits falls somewhat within traditional coding tasks. What about it is so difficult it could not be done with a smart diffing algorithm?
by burningChrome | 2025-07-07 18:13:58+00:00
I've had the same experience with dog hair and our Dyson Animal vacuum. We've had it repaired twice. Once for the hose, the other for something in the motor that went awry. Even the people at the repair shop said they're worth repairing since their performance stays consistent for so long. It was a couple hundred bucks total for both repairs to get another 7 years out of it? 100% worth it.

Still have that purple and grey beast. Best vacuum by a mile and still going.
by tptacek | 2025-07-07 18:14:11+00:00
I'm 100% on the same page with the "don't freak out at the early-career developer who accidentally drops a table" people; seems like a good management lesson (it also makes me glad I don't manage people). I just read this thread and the Jamiroquai and Sublime started playing in my head and I was teleported back to cubicle culture, which I am here to report is totally different than modern dev culture. :)
by popalchemist | 2025-07-07 18:14:48+00:00
LA is a truly incredible place, as the center of the world's creative and cultural output (food, fashion, music, film, art).

But it is not suitable for every personality type. If you struggle to make friends, you will struggle more in LA.

If you work in tech, you are likely of a certain social persuasion (though not necessarily).

In which case this advice holds. But you shouldn't frame it as an absolute. It is personality dependent.
by briandw | 2025-07-07 18:15:06+00:00
Don't think what I described was ping-ponging. But if you want to see it that way, go ahead.

To clarify my process. 1) I have a problem in a new domain that I'm stuck on. 2) I work with the LLM to discuss my problem, think about solutions, get things to try. Not unlike StackOverflow or digging through documentation. However this process is much faster and I learn more without being called stupid by random people on SO (or HN). 3) The problem is fixed and I move on, or back to 1 or try something else.

The value here is that I have a problem to solve and I'm seeing it through to the end. I know what good looks like and have the agency and attention span to get there. The LLM doesn't and likely won't for quite some time.
by maevesentner | 2025-07-07 18:15:20+00:00
Telnyx just launched NaturalHD, a new high-definition text-to-speech voice offering. It delivers crisper audio, better emotional nuance, and even handles natural disfluencies like “um,” “uh,” and light laughter without sounding robotic or broken.

This runs directly on their programmable Voice API and AI Assistant Builder. There’s no need to change your stack or carrier setup. All you need to do is update your voice parameter to use Telnyx NaturalHD.

Telnyx also supports Azure Neural HD and standard TTS, so you can balance performance and cost as needed, all from the same API.

Listen to samples, hear the difference, and learn more: https://telnyx.com/release-notes/telnyx-naturalhd-voices

Curious to hear your thoughts, especially from devs working with real-time voice AI.
by kgwxd | 2025-07-07 18:15:20+00:00
If everyone had 5 acres of land to themselves, probably wouldn't much, but the population is far too big for that. The laws exist for that reason. The way those laws might effect specific scenarios, is a different issue completely. You're free to suggest changes to the laws to cover those scenarios, but good luck getting enough people to care about your edge case enough to risk introducing loop-holes that could make conditions worse for most other people.
by cryzinger | 2025-07-07 18:15:57+00:00
I think TAL is pretty good about this, particularly when it comes to showing the actual fallout from various policies being implemented. And it's not strictly partisan (one of the stories I linked to in my writeup is about sex workers who were harmed by SESTA-FOSTA, which had plenty of Democratic support) or strictly negative, but obviously a lot of... serious and controversial policies have been implemented in the past few years so those get a fair bit of airtime.

In any case I think the "going and talking to real people" storytelling method is hard to beat. Just a couple weeks ago they did some stories about the immediate impacts of USAID cuts. And their episode about the "remain in Mexico" policy for asylum-seekers won the first-ever Pulitzer prize for radio reporting!
by tqi | 2025-07-07 18:17:10+00:00
But what is the point of rolling through at 3mph? To save 2 seconds? The reality is people roll stops because they are a bit lazy, and stopping fully requires marginally more effort. And while that laziness is harmless at empty intersections, it invariably turns into complacency and habit that bleeds into situations that aren't as safe. The same dynamic happens with signaling lane changes.
by glenstein | 2025-07-07 18:17:13+00:00
>My problem with AGI is the lack of a simple, concrete definition.

You can't always start from definitions. There are many research areas where the object of research is to know something well enough that you could converge on such a thing as a definition, e.g. dark matter, consciousness, intelligence, colony collapse syndrome, SIDS. We nevertheless can progress in our understanding of them in a whole motley of strategic ways, by case studies that best exhibit salient properties, trace the outer boundaries of the problem space, track the central cluster of "family resemblances" that seem to characterize the problem, entertain candidate explanations that are closer or further away, etc. Essentially a practical attitude.

I don't doubt in principle that we could arrive at such a thing as a definition that satisfies most people, but I suspect you're more likely to have that at the end than the beginning.
by daemonk | 2025-07-07 18:17:38+00:00
This isn't an unpopular opinion. I would argue this is the mainstream argument.

I think all medical advances benefit the wealthy first and then becomes more affordable over time.

The term "aging" seems to trigger a lot of people and lead to philosophizing over the importance and morality of death. They are important topics to discuss, but I also think it is worthwhile to also hear out the optimist perspectives rather than the endless dystopic cynicism we hear on the daily basis.
by swat535 | 2025-07-07 18:17:51+00:00
> The real problem: How you accurately evaluate a candidate without these questions?

The fact this question needs to be asked really reinforces parent's point.

Perhaps we should examine at how other respectable fields validate their candidates and follow suit?

If we don't have any form standardization for this stuff, I think that speaks more to the lack of maturity of our field than anything else.
by alganet | 2025-07-07 18:18:32+00:00
I know nothing about moat or network or anything like that. This is basic stuff.

People have money. People use money to buy things. Money is limited. It can move, and shift, but not grow. People earn X and will spend a portion of that on stuff on different things.

If there's a lot of similar competitors of similar cost and quality, they'll share the money pool (what people are willing to spend on your kind of thing).

AI is, therefore, irrelevant. It drives your costs down, but it also drives the cost down for everyone. Any competitor can use it to achieve similar results. If you base your production on it, you get no edge.

What can you do that is unique and you can offer to your potential customers?
by phil21 | 2025-07-07 18:18:53+00:00
> Not my experience using taxi call services in Chicago. Whenever I called them (before Uber) the taxi was prompt and courteous.

Not remotely my experience in Chicago, and I lived in a relatively primary service area (Wicker Park). Calling them was basically pointless, you needed to walk to a cab stand and hope there was a cab standing by if you needed to go to the airport at a weird off-peak time.

And my friends all had similar experiences to mine as well. It was a trope that you'd call dispatch and schedule a ride, and then maybe it would show up within 90 minutes of the actual time assigned. You could even listen to the dispatch radio and realize how much of a shitshow it was with cabbies assigned to a pickup ditching it for a street fare randomly. And how little dispatch cared about it all.

Uber was a night and day overnight change for the better.

The only "good" cab experiences were flag pulls from the street within short city trips. Usually the loop to back home during peak after-work or bar traffic times. Anything else was frustrating to outright unusable.
by Bjorkbat | 2025-07-07 18:19:36+00:00
Personally I think a more effective analogy would be if someone used a textbook and created an online course / curriculum effective enough that colleges stop recommending the purchase of said textbook. It's honestly pretty difficult to imagine a movie having a meaningful impact on the sale of textbooks since they're required for high school / college courses.

So here's the thing, I don't think a textbook author going against a purveyor of online courseware has much of a chance, nor do I think it should have much of a chance, because it probably lacks meaningful proof that their works made a contribution to the creation of the courseware. Would I feel differently if the textbook author could prove in court that a substantial amount of their material contributed to the creation of the courseware, and when I say "prove" I mean they had receipts to prove it? I think that's where things get murky. If you can actually prove that your works made a meaningful contribution to the thing that you're competing against, then maybe you have a point. The tricky part is defining meaningful. An individual author doesn't make a meaningful contribution to the training of an LLM, but a large number of popular and/or prolific numbers can.

You bring up a good point, interpretation of fair use is difficult, but at the end of the day I really don't think we should abolish copyright and IP altogether. I think it's a good thing that creative professionals have some security in knowing that they have legal protections against having to "compete against themselves"