MurphyA/hacker-news huggingface dataset:
by crooked-v | 2025-06-11 17:16:28+00:00
For people who aren't theme park nerds: Dollywood consistently gets ranked as one of the best theme parks in the US. It's absolutely worth planning a vacation around if you generally like that sort of stuff but shudder at the current pricing of Disney/Universal.

The city it's in is also right next door to the Great Smoky Mountains National Park, so it's very easy to make a day trip for various trails or tours.
by nightski | 2025-06-11 17:16:46+00:00
I feel like you are ignoring or dismissing the word "interpolating", although a better word would likely be generalization. I'd make the claim that it's very hard to generalize without some form of world model. It's clear to me that transformers do have some form of world model, although not the same as what is being presented in V-JEPA.

One other nitpick is that you confine to "historical data", although other classes of data are trained on such as simulated and generative.
by msgodel | 2025-06-11 17:16:58+00:00
Has anyone else messed with any of this stuff? I dug into a bunch of Dwave's code the other weekend and the conclusion I came to is that even a theoretical fully connected machine that would be impractical to construct could only be marginally useful in a couple of niche applications. People keep talking about using quantum for ML but annealing is only useful for stuff that can be mapped to QUBO (IE Boltzmann machines.) The lack of generalization means no attention so even if you got better time complexity it would be a wash.
by autoexec | 2025-06-11 17:17:11+00:00
I was a google fan back when they first started and were just a search engine. Search engines like Yahoo and excite became massively bloated and ad-filled while google was clean and fast.

I wasn't a fan for very long. Google got creepy fast, and at this point their search is becoming useless, but for a short time I really thought that Google is amazing and I was an enthusiast.
by DickingAround | 2025-06-11 17:17:33+00:00
I run thousands of robots in production. We can get a very high success rate but only for the task they're designed for. Production robots can't pick up stuff they drop yet. And this '80%' level is not actually acceptable or even state of art for just pick-and-place, but it's compelling for a robot that also knows how to do other things with equal quality (if JEPA does that).
by felipeccastro | 2025-06-11 17:18:00+00:00
This. Making something super customizable is a lot harder to implement (code being too generic, hard to reason about and debug) and often presents a worse UX ("why are there so many options??"). Having the UX design team interview and consider the needs of each user role interacting with the application, and ensuring the app displays/asks only the appropriate info for each user, hiding the rest and adopting smart defaults (instead of requiring everything), is easier to implement, safer and produces more intuitive interfaces than highly customizable ones, in many cases.
by redczar | 2025-06-11 17:18:01+00:00
However you want to label things is fine with me. We disagree with the label and you think not helping each other out during a disaster is no big deal. You are wrong on this. As Trumps continues down the path he is taking the reason for being in the union becomes increasingly unjustifiable. If states that are liberal leaning can’t get aid from the monies they send the federal government then the people there will question why they should remain in the union.

Texas Republicans think talk of secession is justifiable when a Democrat is President. A much more sane reason for questioning the union is not getting help from the federal government.
by ummonk | 2025-06-11 17:18:12+00:00
> I think the issue I keep coming back to with type safety is how do you make sure a value in meters is not mistakenly used as feet without some kind of translation.

Nominal typing - you declare meter and float to be separate types. Ada makes that simple. Both Rust and Ada support that, and it's normal practice in Ada to declare separate types for every unit.
by skeaker | 2025-06-11 17:19:17+00:00
Citation needed, my understanding was that housing prices are being driven up by real estate owners/agencies buying tons of property to either rent at extortionary prices or sit on until they sell for a higher price to the next sucker. Also stuff like the RealPage scandal where they simply illegally collude: https://news.ycombinator.com/item?id=41330007

I think the idea of a law that only allows a limited number of owned properties per person and requires them to actually be using those properties would be interesting to alleviate this.
by erulabs | 2025-06-11 17:19:38+00:00
Super impressive looking demo, works well on my older iphone.

As an only-dabbling-hobbiest game developer who lacks a lot of 3d programming knowledge, the only feedback I can offer is you might perhaps define what "Gaussian Splatting" is somewhere on the github or the website. Just the one-liner from wikipedia helps me get more excited about the project and potential uses: Gaussian splatting is a volume rendering technique that deals with the direct rendering of volume data without converting the data into surface or line primitives.

Super high performance clouds and fire and smoke and such? Awesome!
by sherr | 2025-06-11 17:19:42+00:00
There is a darker side to Samuel Pepys unfortunately. Either unknown, glossed over or ignored.

Pepys had many admirable qualities but these have to be placed against his extremely bad behaviour towards women. Today he would be called a "sexual predator" and he was almost certainly also a rapist. Unfortunately, women were (and still are in many places) seen as sexual objects and this view was common in the 18th Century.

I became aware of this from watching Guy de la Bédoyère's YouTube video "Confessions of Samuel Pepys. His Private Revelations" [1] where he discussed the good and the bad in Pepys, having just completed a new book about the diary and man. The video is good, as is the channel (he's a historian I was familar with from his Time Team appearances).

I don't like mentioning things like this usually, but for the sake of a true picture, it is worth it.

[1] https://youtu.be/uxaPbPm7sMk?si=W9vIJ_JD-BynAlOp
by rgovostes | 2025-06-11 17:19:46+00:00
> The macOS Tahoe app icon squircling is a pain and a cost for indie developers like me and the others shown above.

No? The system provided you with an icon. You aren’t obligated to redesign anything.

It’s fair to disagree with the aesthetics of the new style or usability of losing unique silhouettes or readability of shrinking icons down to fit in the squircle, but it isn’t creating any obligation for indie developers.
by hennell | 2025-06-11 17:20:38+00:00
It's an interesting article although I think it's rather telling that the authors search of "postgres slow database" seems to disappear in the LLM section. It mentions the adds disappeared, but no mention of the solutions found or the amount of time or changes to how they searched/added the question.

I've found AI helpful for answering questions, but better at plausibly answering them, I still end up checking links to verify what was said and where it's sourced from. It saves frustration but not really time.
by crazygringo | 2025-06-11 17:20:42+00:00
> The real question is what does the manager do with the data.

Direct-mail (or these days, in-app with notifications) coupons. If you know you'll pay full price at CVS, but it's 30% off at Rite-Aid, you'll go to Rite-Aid and buy other stuff as long as you're making the trip.

I mean, maybe there really are enough women buying last-minute to be able to predict, at least for those women -- and identify who those women are.
by aaroninsf | 2025-06-11 17:20:55+00:00
The goal is a a Large Phenomenological Model.

A good definition of "real AGI" might be, a multimodal model which understands time-based media, space, and object behavior, and hence true agency.

Phenomenology is the philosophy of "things as they seem," not "knowledge (words) about things." Seem to our senses, not understood through language.

LLM of course trade in language tokens.

We can extend their behavior with front ends which convert other media types into such tokens.

But we can do better with multimodal models which are trained directly on other inputs. E.g. integrating image classifiers with language models architecturally.

With those one can sort of understand time-based media, by sampling a stream and getting e.g. transcripts.

But again, it's even better to build a time-base multimodal models, which directly ingests time-based media rather than sampling. (Other architectures than transformers are going to be required to do this well IMO...)

The bootstrapping continues. This work is about training models to understand world and object properties by introducing agency.

Significant footnote: implicitly models trained to interact with the world necessarily have a "self model" which interacts with the "world model." Presumably they are trained to preserve their expensive "self." Hmmmmm....

When we have a model that knows about things not just as nodes in a language graph but also how such things look, and sound, and moves, and "feel" (how much mass do they have, how do they move, etc.)...

...well, that is approaching indistinguishable from one of us, at least wrt embodiment and agency.
Show HN: Dream – Build It, College Portfolio Platform for High School Students
by coolwulf | 2025-06-11 17:21:40+00:00
- TL;DR:* Built a comprehensive platform that helps high school students organize their achievements and generate personalized college application essays using top performing AI models

- What it does

Dream — Build It is a complete college application toolkit that combines portfolio management with AI-powered content generation:

- Portfolio Builder: Comprehensive tracking of academics, work experience, awards, test scores, and extracurricular activities - AI Essay Generator: Creates personalized college application essays using top performing AI models, tailored to each student's unique story - College Recommendations: Suggests colleges and majors from a database of 300+ universities based on student profiles and preferences - Portfolio Analytics: AI-powered assessment providing strength scores, feedback, and improvement recommendations

~ Why I built this ~

As someone who went through the college application process, I remember how overwhelming it was to: - Keep track of all achievements across 4 years of high school - Write compelling essays that actually reflected my experiences - Find colleges that matched my profile and interests - Present everything coherently to admissions committees

Current solutions are either expensive consulting services or generic template-based tools. I wanted to create something that democratizes access to personalized, high-quality college application support.

~ Live Demo ~

The platform is deployed and running at https://dreambuild.it.com You can sign in with Google (invitation code system for controlled access during beta, due to high cost of top performing AI model API inference).

Built this over the past few months as a side project. Would love to hear your thoughts and experiences with college applications - both the pain points and what worked well.
by nradov | 2025-06-11 17:22:27+00:00
That's not entirely accurate. Wages are real enough whether paid out as cash, or paid to a third party for the employee's benefit. Some medical costs are unreasonably inflated, but on the other hand much of the cost increase reflects greater capabilities. We can effectively treat many conditions today that would have been a death sentence in 1980, but some of those cutting edge treatments cost >$1M per patient. That doesn't directly benefit the average healthy consumer, but it can help a lot if you get sick.

I do agree that it makes no logical sense to couple medical insurance to employment. This system was created sort of accidentally as a side effect of wartime tax law and has persisted mainly due to inertia.
by MattDaEskimo | 2025-06-11 17:22:32+00:00
Yes, the original announcement for o3 and o4-mini:

https://openai.com/index/introducing-o3-and-o4-mini/

o3 scored 91.6 on AIME 2024. 83.3 on GPQA

o4-mini scored 93.4, 81.4 GPQA

Then, the new announcement

https://help.openai.com/en/articles/6825453-chatgpt-release-...

o3 scored 90 on AIME 2024, 81 GPQA

o4-mini wasn't measured

---

Codeforces is the same, but they have a footnote that they're using a different dataset due to saturation, but still have no grounding model to compare with
by coolwulf | 2025-06-11 17:22:34+00:00
Here are a list of invitation code you could use with your google account to login and play around: 3169eb56 8a246e4c b328dfb3 abac2825 08683ed7 ce34748c bb4bb911 753a3626 b5941da5 579426ff

Please leave a comment to let others know which code you used.
by cmurf | 2025-06-11 17:22:34+00:00
Certainly the Trump regime are.

LAPD are trained and regularly used for crowd control and protest dispersal. The guard isn’t. And for sure the Marines have no clue about policing.

I think LAPD is choosing a 1st amendment violation as the lesser failure than permitting any escalation involving the National Guard. That would quickly turn out badly for the guard, become a pretext for ever more violent authoritarianism in response.
by bespokedevelopr | 2025-06-11 17:22:53+00:00
What is out of reach for me is space to perform the hobbies.

I have welders, metal and woodworking equipment, 3d printers, auto mechanic tools, etc and years of experience and knowledge and interest in building stuff. But I have only a tiny garage to work from. I don’t really have room to do much so it feels like waste.

I’ve looked into renting a small shop but Seattle is so expensive that renting even a one car sized shop space is prohibitively expensive for a hobby (for my income level).

I’m sure I could turn a profit with my work on the side but then it’s a job and you have monthly overhead expenses to cover and all the stresses that come from that.

What is even the actionable step to take? Make more money? That usually comes with less time unfortunately. Moving away to somewhere I can afford a larger workshop at home was the plan until return to office happened for me.
by dwohnitmok | 2025-06-11 17:23:12+00:00
Can you elaborate on what you mean that o3 pro is a GT? In particular I don't understand how to reconcile what you're saying that o3 pro is in some way fundamentally different from o3 (albeit based on o3) with this tweet:

> As o3-pro uses the same underlying model as o3, full safety details can be found in the o3 system card.

https://x.com/OpenAI/status/1932530423911096508
by mhitza | 2025-06-11 17:23:29+00:00
I can't quantity it for my past experience, that was more than a year ago, and I wasn't using ChatGPT daily at the time either.

This time around it felt pretty stark. I used ChatGPT to create at most 20 different image compositions. And after a couple of good ones at first, it felt worse after. One thing I've noticed recently is that when working on vector art compositions, the results start more simplistic, and often enough look like clipart thrown together. This wasn't my experience first time around. Might be temperature tweaks, or changes in their prompt that lead to this effect. Might be some random seed data they use, who knows.
by furyofantares | 2025-06-11 17:23:37+00:00
I have put a lot of effort into learning how to program with agents. There was some up-front investment before the payoff. I think I'm still learning a lot, but I'm also well over the hump, the payoff has been wonderful.

The first thing I did, some months ago now, was tried to vibe code an ~entire game. I picked the smallest game design I did that I would still consider a "full game". I started probably 6 or 7 times, experimenting with different frameworks/game engines to use to find what would be good for an LLM, experimenting with different initial prompts, and different technical guidance, all in service of making something the LLM is better at developing against. Once I got settled on a good starting point and good framework, I managed to get it across the finish line with only a little bit of reading the code to get the thing un-stuck a few times.

I definitely got it done much faster and noticeably worse than if I had done it all manually. And I ended up not-at-all an expert in the system that was produced. There were times when I fought the LLM which I know was not optimal. But the experiment was to find the limits doing as little coding myself as possible, and I think (at the time) I found them.

So at that point, I've experienced three different modes of programming. Bespoke mode, which I've been doing for decades. Chat mode, where you do a lot of bespoke mode but sometimes talk to ChatGPT and paste stuff back and forth. And then nearly full vibe mode.

And it was very clear that none of these is optimal, you really want to be more engaged than vibe mode. My current project is an experiment in figuring this part out. You want to prevent the system from spiraling with bad code, and you want to end up an expert in the system that's produced. Or at least that's where I am for now. And it turns out, for me, to be quite difficult to figure out how to get out of vibe mode without going all the way to chat mode. Just a little bit of vibing at the wrong time can really spiral the codebase and give you a LOT of work to understand and fix.

I guess the impression I want to leave here is this stuff is really powerful, but you should probably expect that, if you want to get a lot of benefit out of it, there's a learning curve. Some of my vibe coding has been exhilarating, and some has been very painful, but the payoff has been huge.
Show HN: I built a speech accessibility app
by yu3zhou4 | 2025-06-11 17:24:01+00:00
For the last year I was researching and developing an ML model that understands speech with disorders, like speech of people after strokes or with dysarthria. I think it's a right time to launch early, so if you know a person who struggles with voice communication please let them know

App works in the browser and should work on any device

From a technical perspective, it's a PEFT (LoRA) fine-tuned version of distilled Whisper on all available data for this task, with some data augmentations, trained for about a day on a single RTX 5090

This is very early stage so things will be often broken and the model will be often updated, but if you are not afraid to experiment, I invite anyone with speech problems to try

I'm happy to answer all questions
by ywxdcgnz | 2025-06-11 17:24:12+00:00
Does anyone know what we learned? Looks like the second problem (decentralization) is the antidote to the first (centralization) which was rather amusing.

Probably one of those things which are actually perfectly fine trade-offs, operational challenges and in no way causal to the demise. If Alexa had found a market, the same article would probably be called "AI at Amazon: a case study of <insert management buzzword>" and explain to us how the same processes paved the path to success.
by gknoy | 2025-06-11 17:24:14+00:00
Training AI models uses a large amount of energy (according to what I've read / headlines I've seen /etc), and increases water usage. [0] I don't have a lot to offer as proof, merely that this is an idea that I have encountered enough that I was suprised you hadn't heard of it. I did a very cursory bit of googling, so the quality + dodginess distribution is a bit wild, but there appear to be indiustry reports [2, page 20] that support this:

""" [G]lobal data centre electricity use reached 415 TWh in 2024, or 1.5 per cent of global electricity consumption.... While these figures include all types of data centres, the growing subset of data centres focused on AI are particularly energy intensive. AI-focused data centres can consume as much electricity as aluminium smelters but are more geographically concentrated. The rapid expansion of AI is driving a significant surge in global electricity demand, posing new challenges for sustainability. Data centre electricity consumption has been growing at 12 per cent per year since 2017, outpacing total electricity consumption by a factor of four. """

The numbers are about data center power use in total, but AI seems to be one of the bigger driving forces behind that growth, so it seems plausible that there is some harm.

0: https://news.mit.edu/2025/explained-generative-ai-environmen... 1: https://www.itu.int/en/mediacentre/Pages/PR-2025-06-05-green... 2: (cf. page 20) https://www.itu.int/en/ITU-D/Environment/Pages/Publications/...
by nonameiguess | 2025-06-11 17:24:25+00:00
First concert I ever went to in 1988 with my aunt. Wouldn't it be Nice was my first "song" with my first girlfriend in high school. You gave so much to all of us, Brian. You earned the rest.

People ask who the current version of this kind of genius is for pop music, and between the one man band element, turns as a composer, and general weirdness and reclusiveness, Trent Reznor is probably who comes to mind for me, but even his heyday was 30 years ago. I have no idea who in their 20s might have this kind of impact. Let us appreciate these people while we can.
by FirmwareBurner | 2025-06-11 17:24:44+00:00
Then buy a machine without TPM. Or buy games that don't require TPM.

Of course online multiplayer games are gonna have more stringent device security requirements to try to deter cheaters on the PC platforms. Companies aren't gonna mass produce new HW and SW customized to your own individual desires just because you want something else than the masses of consumers don't care about.

Vote with your wallet if TPM bothers you. Otherwise I don't see what your argument stands on.
by sea6ear | 2025-06-11 17:25:14+00:00
I've been playing around with the Godot game engine as a sort of modern successor to Delphi / Lazarus. I'm currently messing around with trying to create some database server management software using it.

GDScript is pretty similar in feel to Python, and you can also use C# if you want to. It has some level of GUI controls in the framework (not sure how many yet, but all of the GUI controls used to build the editor are available for use).

I want to believe the 3d capabilities might be useful for some kind of UI stuff, but I don't really have a real idea how to make that work - just a "wouldn't it be neat if..." question about it right now.
by ofjcihen | 2025-06-11 17:25:22+00:00
No, it can’t. Partially stems from the garbage the models were trained on.

Example anecdata but since we started having our devs heavily use agents we’ve had a resurgence of mostly dead vulnerabilities such as RCEs (CVE in 2019 for example) as well as a plethora of injection issues.

When asked how these made it in devs are responding with “I asked the LLM and it said it was secure. I even typed MAKE IT SECURE!”

If you don’t sufficiently understand something enough then you don’t know enough to call bs. In cases like this it doesn’t matter how many times the agent iterates.
by pona-a | 2025-06-11 17:26:17+00:00
What makes it problematic is that they still end up with cross-dependencies. I might find resolved or logind great tools, but I can't use them without systemd, even though I can sitll use systemd without resolved. They all reinforce systemd as an irreplaceable component that will only grow more hooks for these subprojects, becoming increasingly unimplementable and complex.
by ndiddy | 2025-06-11 17:26:49+00:00
Honestly I think the whole Firefox OS idea was a major mistake, especially if the points the article makes about how the project changed Mozilla organizationally are true. Trying to make a new mobile platform in 2014, when iOS and Android were already entrenched, was never going to work out. Even if the performance was on-par with Android, why would anyone buy a Firefox OS phone over an equivalent Android phone with a far larger library of apps? The right time to try a new smartphone platform would have been at least 5 years earlier.