MurphyA/hacker-news huggingface dataset:
by TheAmazingRace | 2025-07-29 20:48:26+00:00
There was talk that the Hombre graphics chipset would have also been available as an add-in PCI card, possibly even compatible with bog-standard Pentium PCs. If that had happened... Commodore could have been the first company ever to have released a proper 3D accelerator, years before 3Dfx or Nvidia hit the scene with their offerings.

Frankly, this would have been a worthwhile pivot getting into 3D accelerators if the Amiga gambit wouldn't have paid off in the long run.
by simonw | 2025-07-29 20:48:43+00:00
Their justification for this was that, for many consequential models, releasing the training data just isn't possible.

Obviously the biggest example here is all of that training data which was scraped from the public web (or worse) and cannot be relicensed because the model producers do not have permission to relicense it.

There are other factors too though. A big one is things like health data - if you train a model that can e.g. visually detect cancer cells you want to be able to release that model without having to release the private health scans that it was trained on.

See their FAQ item: Why do you allow the exclusion of some training data? https://opensource.org/ai/faq#why-do-you-allow-the-exclusion...
by structural | 2025-07-29 20:49:04+00:00
There really isn't a great solution here. The notice that a vulnerability has been discovered puts even more pressure on the fix to be deployed as close to instantly as possible, throughout the entire supply chain.

Why is this? Especially for smaller or more stable open-source projects, the number of commits in a 90-day period that have the possibility to be security-relevant are likely to be quite low, perhaps as low as single digits. So the specific commit that fixes the reported security issue is highly likely to be identified immediately, and now there's a race to develop and use an exploit.

As one example, a stable project that's been the target of significant security hardening and analysis is the libpng decoder. Over the past 3 months (May 1 - Jul 29), its main branch has seen 41 total commits. Of those, at least 25 were non-code changes, involving documentation updates, release engineering activities, and build system / cross-platform support. If Project Zero had announced a vulnerability in this project on May 1 with a disclosure embargo of today, there would be at most 16 commits to inspect over 3 months to find the bug. That's not a lot of work for a dedicated team.

So now, do we delay publishing security fixes to public repos and try and maintain private infrastructure and testing for all of this? And then try and get a release made, propagated to multiple layers of downstream vendors, have them make releases, etc... all within a day or two? That's pretty hard, just organizationally. No great answers here.
by zorrn | 2025-07-29 20:49:44+00:00
I think Apple would actually be in a position capable of doing this. Slap an M1-4 into an iPhone Case with MacOS. Normally you have an interface like iOS, which shouldn't be hard because iOS is based on MacOS, and when you connect it to a monitor you have normal MacOS. Normal iOS applications need to run on MacOS which I think they already could.

You would just have to allow apps to transform the interface between desktop and mobile or allow both interfaces to access the same data. And for apps that aren't working just show a small windows on the desktop and either disallow opening only-desktop apps on iOS or make everything small and allow zooming.

You could also make something MacBook-like where you connect your phone or slide it into the side.

I think one of the problems here is that Apple then could only sell 1 device to everyone and not potentially three (iPhone, iPad, Mac).
by CamperBob2 | 2025-07-29 20:49:52+00:00
Sure. If you ask ChatGPT to play chess, it will put up an amateur-level effort at best. Stockfish will indeed wipe the floor with it. But what happens when you ask Stockfish to write a Space Invaders game?

ChatGPT will get better at chess over time. Stockfish will not get better at anything except chess. That's kind of a big difference.
by pavel_lishin | 2025-07-29 20:50:19+00:00
That's true. Grandma initially wanted to get no treatment, and boy did we hear about it - the rest of her family convinced her to go ahead and undergo treatment.

I think this was the correct choice, but I have no idea.

On the one hand, she's feeling much better now, and I'm glad she's around, because I like spending time with her.

On the other hand, the recovery was pretty rough, though thankfully she doesn't really remember the truly bad parts. And she's 90 years old, and has repeatedly stated that she doesn't particularly want to go on living.

On the gripping hand, the doctor's description of letting yourself die of congestive heart failure sounded rather unpleasant, and hopefully instead of undergoing that, she'll pass away in her sleep.

On the hands that I'm running out of, maybe an even worse fate awaits.

Can't see the future. :/
by kcaseg | 2025-07-29 20:50:30+00:00
I know it is bad for the environment, I know you cannot trust it, but as an adult learning C++ in my free time, having a pseudo-human answering my questions instead of having to look at old forum posts with people often trying to prove their skills instead of giving the simplest answer ChatGPT is something I cannot just ignore — despite being a huge LLM hater. Moral of the story: none.
by terabyterex | 2025-07-29 20:50:43+00:00
This can happen if you use the free model and not a paid deep research model. You can use a gpt model and ask things like , "how many moons does Jupiter have?" But if you want to ask, "can you go on the web a research the affects that chamical a has had on our water supply a cite sources?", you will need to use a deep research model.
by wizzwizz4 | 2025-07-29 20:50:56+00:00
DuckDuckGo search results for "cli, extract frame 13s into video" (no quotes):

• https://stackoverflow.com/questions/10957412/fastest-way-to-...

• https://superuser.com/questions/984850/linux-how-to-extract-...

• https://www.aleksandrhovhannisyan.com/notes/video-cli-cheat-...

• https://www.baeldung.com/linux/ffmpeg-extract-video-frames

• https://ottverse.com/extract-frames-using-ffmpeg-a-comprehen...

Search engines have been able to translate "vague natural language queries" into search results for a decade, now. This pre-existing infrastructure accounts for the vast majority of ChatGPT's apparent ability to find answers.
by MITSardine | 2025-07-29 20:51:20+00:00
It's not usually up to businesses to compensate wealth inequality by adapting prices to customers.

I personally find this appalling, not because of the prospect of paying more or less, but because of the arbitrariness and opacity of it all. I'm not too excited for a future where we'll have to spoof various browser identities and try different times of day and VPNs to book plane tickets...

At the extreme, some people could find themselves stuck or in very difficult situations because of this kind of practice. Oh, your parent is on their deathbed? Shouldn't have said that to a friend on Messenger or WhatsApp.

And I don't understand what could possibly justify personalized pricing (towards consumers, not businesses) of non-personalized goods and services being legal in the first place.
by cardanome | 2025-07-29 20:52:14+00:00
> Recent iterations of iOS are getting closer to being able to replace a Mac for a class of tablet-owning users who don't need desktop software, but the ecosystems are pretty well separated for most.

Yeah, apple could solve that instantly.

Sadly, they decided to play a cash cow strategy of milking existing users instead for trying to grow market share.

Apple is so frustrating. Amazing hardware but then they complete shit the bead with the software side of things and act actively hostile against their own users.
by naet | 2025-07-29 20:52:40+00:00
"Under the hood, study mode is powered by custom system instructions we’ve written...."

It seems like study mode is basically just a different system prompt but otherwise the exact same model? So there's not really any new benefit to anyone who was already asking for ChatGPT to help them study step by step instead of giving away whole answers.

Seems helpful to maybe a certain population of more entry level users who don't know to ask for help instead of asking for a direct answer I guess, but not really a big leap forward in technology.
by mattgrice | 2025-07-29 20:55:22+00:00
It's true but honey bees are still extremely economically important. And very useful because their hives are large and portable.

The billionaire Resinick pomegranate/pistachoi/almond oligarchs put quite a bit of effort into native bees which seemed quite successful but they shut it down I think about 5 years ago. I can't find the article now. Gen X+ might remember them as owners of the 'Franklin Mint' hawkers of knickknacks you either are or soon will be throwing into a dumpster.

They are BTW also largest renters of honeybee hives in the US.
by nomel | 2025-07-29 20:55:23+00:00
> People in these positions work on billion dollar software, so they can't just try out every idea that comes to mind in prod.

Exactly, the ability to innovate ceases. Risk is most easily avoided by leaning on the existing institutional knowledge to direct new decisions even though they may be in new contexts.

> you may not in fact be iterating, but experimenting.

By definition, iteration is not innovation. Innovation is new ideas. New ideas aren't possible without experimentation, otherwise they would be known ideas.

Most large companies move from innovation to acquisition for a reason: the risk of innovation is too great for a large company to stomach.
by vessenes | 2025-07-29 20:56:02+00:00
Nota bene - there is a fair amount of research that indicates models outputs and ‘thoughts’ do not necessarily align with their chain of reasoning output.

You can validate this pretty easily by asking some logic or coding questions: you will likely note that a final output is not necessarily the logical output of the end of the thinking; sometimes significantly orthogonal to it, or returning to reasoning in the middle.

All that to say - good idea to read it, but stay vigilant on outputs.
by bigstrat2003 | 2025-07-29 20:56:23+00:00
> I struggle to find a place without a HDMI screen waiting for me.

It seems like this comes down to personal experience. I have literally never seen a place I could plug my phone into an HDMI display (even if I had cables for that, which I don't). As such it strikes me as very impractical, but it sounds like your experience has been drastically different so we come to different conclusions.
by jauntywundrkind | 2025-07-29 20:56:45+00:00
That's quite unspecific and unhelpful.

Personally I find XMPP much makes sense. Sure it's this weird streaming XML thing, but there's a request/response pattern (IQ) inside that seems fine. I love how nicely it composes: accounts have a tree of nodes they can define for whatever content they want, which is a sensible & flexible base. Then there's pubsub, and ACL capability specs on top of that. Everything stacks relatively sensibly. The past decade has seen some good XMPP Enhancement Protocols (XEP) to create best practices & recommended feature sets.

It was such a small jump to create a full "everything app" atop XMPP baseline capabilities:

> Libervia [ed: nee Salut-a-Too] is a all-in-one tool to manage all your communications needs: instant messaging, (micro)blogging, file sharing, photo albums, events, forums, tasks, etc.

https://libervia.org/

It's unfortunate that the top rated comment is uncontestable blanket desparagement. Can we raise this from a low criticism to something respect-worthy?
by ghrl | 2025-07-29 20:56:54+00:00
It would be incredible if OpenAI would add a way for schools and other educational institutions to enforce the use of such a mode on a DNS level, similarly to how they can force sites like YouTube into safe mode. Many students use ChatGPT, often without permission, to do work for them instead of helping them do the work themselves. I see a lot of potential for a study mode like this, helping students individually without giving direct answers.
by aspenmayer | 2025-07-29 20:56:56+00:00
I think the person you're responding to has likely read this quote or one like it, and perhaps you haven't? I assume that they're referencing it in an offhand way.

https://news.ycombinator.com/item?id=4627373

> Some people have 10 years of experience. Others have 1 year of experience 10 times.
by echelon | 2025-07-29 20:57:08+00:00
Too bad. The OSI owns "open source".

Big tech has been abusing open source to cheaply capture most of the internet and e-commerce anyway, so perhaps it's time we walked away from the term altogether.

The OSI has abdicated the future of open machine learning. And that's fine. We don't need them.

"Free software" is still a thing and it means a very specific and narrow set of criteria. [1, 2]

There's also "Fair software" [3], which walks the line between CC BY-NC-SA and shareware, but also sticks it to big tech by preventing Redis/Elasticsearch capture by the hyperscalers. There's an open game engine [4] that has a pretty nice "Apache + NC" type license.

---

Back on the main topic of "open machine learning": since the OSI fucked up, I came up with a ten point scale here [5] defining open AI models. It's just a draft, but if other people agree with the idea, I'll publish a website about it (so I'd appreciate your feedback!)

There are ten measures by which a model can/should be open:

1. The model code (pytorch, whatever)

2. The pre-training code

3. The fine-tuning code (which might be very different from the pre-training code)

4. The inference code

5. The raw training data (pre-training + fine-tuning)

6. The processed training data (which might vary across various stages of pre-training and fine-tuning: different sizes, features, batches, etc.)

7. The resultant weights blob(s)

8. The inference inputs and outputs (which also need a license; see also usage limits like O-RAIL)

9. The research paper(s) (hopefully the model is also described and characterized in the literature!)

10. The patents (or lack thereof)

A good open model will have nearly all of these made available. A fake "open" model might only give you two of ten.

---

[1] https://www.fsf.org/

[2] https://en.wikipedia.org/wiki/Free_software

[3] https://fair.io/

[4] https://defold.com/license/

[5] https://news.ycombinator.com/item?id=44438329
by SilverElfin | 2025-07-29 20:57:23+00:00
How can anyone allege discrimination when all you have is an AI telling you the price you get? It’s not open source and you don’t get to see data across all races or sexes or whatever to spot a pattern.

I think we just need new regulations and laws. Maybe make income or wealth a protected trait you cannot discriminate on. Or require transparency and reporting on algorithmic pricing. Or higher taxes for businesses that use these tactics.

But that’s years away, if ever. I bet all airlines will do this. I’ll just fly even less
by cosmic_cheese | 2025-07-29 20:57:26+00:00
I wish that banks would offer TOTP. SMS is famously insecure and poorly suited for something that’s a load-bearing pillar in most of our lives, and TOTP is probably the most reasonable replacement. Unfortunately only a tiny handful of US banks offer non-SMS 2FA of any kind, and to my knowledge the one that does (Scwhab I think?) requires the use of a hardware gadget even though it’s standard TOTP (which people have written python scripts to extract the necessary bits of info from).
by vetrom | 2025-07-29 20:57:49+00:00
It's not that XMPP is hostile to power efficiency, its that Apple (and Google) gateway power-efficient edge triggering behind vendor-restricted cryptographic feature locks.

They have arguably correct reasons for doing this, but it's a false comparison to say that the software is inefficient when its just as efficient that anything else at that privilege level on the phone can do.
by FlyingSnake | 2025-07-29 20:57:57+00:00
This seems like an abandoned project with no updates since 2019 (!!)

Those looking for a more active and stable project: ubports is carrying the torch forward on the convergence front. I have personally used it on my old OnePlus device and it was quite usable.

1: https://ubports.com/

2: https://lomiri.com/
by hnlmorg | 2025-07-29 20:58:42+00:00
You might want to update one of the examples:

> A sleek robot with glowing blue eyes and modern design

Unfortunately that looks almost identical to “Astro Bot”, Sony’s PlayStation mascot.

https://duckduckgo.com/?q=+playstation+astro+bot&iar=images&...

———

Update: I love the idea for this site. I’ve been looking for something like this too. But I don’t like the idea of a monthly subscription.

I could be tempted to pay, but I’d rather have n models generated rather than a monthly plan.

I suspect the kind of people who would use this would be more infrequent designers. If they are generating enough each month to justify a monthly subscription then I suspect they’d be interested in this field enough to design their own models.

———

Update 2: I just noticed there is a PAYG option available. Easy to miss when reading on mobile.

One question regarding it: what happens if the model generated isn’t very good? Do you get a few options to choose from and then only get charged for the (for example) STL? Or is it basically pay your £5 and hope for the best?
by MITSardine | 2025-07-29 20:59:13+00:00
I don't think that's possible, there's too much data that pairs your real identity with purchases.

Even Delta's own information on your past purchases (recall tickets are nominative) could be enough to size you up.

I don't know who's responsible, but there's clear information sharing related to using a credit card in the US. E-mail address and whether you have Amazon Prime are two examples I've seen (I was never asked for permission to share this information).

Then there's smartphone-based payment methods, by Google and Apple no less. I'm sure that results in no data at all being disseminated.

I don't think it'd be too complicated for a few major retailers, Amazon and airlines to get together and have a good estimate of your income (or at least of your expenses). What are you going to do against that? Pay by cash everywhere?
by qualeed | 2025-07-29 20:59:19+00:00
>we aren't at a level where a LLM can truly be relied upon to teach topics across the board.

You can replace "LLM" here with "human" and it remains true.

Anyone who has gone to post-secondary has had a teacher that relied on outdated information, or filled in gaps with their own theories, etc. Dealing with that is a large portion of what "learning" is.

I'm not convinced about the efficacy of LLMs in teaching/studying. But it's foolish to think that humans don't suffer from the same reliability issue as LLMs, at least to a similar degree.
by rashempandit48 | 2025-07-29 20:59:43+00:00
Those are valid points. Here would be my simple approach (tell me if you think it doesn't make sense or needs some adjustments):

Short, occasional check-ins: The app could nudge you (maybe just once in the morning, afternoon, and evening for a week) to rate how you’re feeling, with a tap or two — think 2 seconds, not 2 minutes.

Learn from your habits: After this “trial week,” the app would look for patterns. For example, if you usually feel sharp at 10am, that gets noted. No need to keep checking in all the time.
by nashashmi | 2025-07-29 21:00:05+00:00
This project could achieve this via the following. Project up an alternate screen. Put an “app” on the screen called maruOS projected at external screen resolution. Then get access to your phone storage and maybe to your phone hardware like mic.

Then pretend there is a huge possibility of apps that can run on Maru OS.

But it is Too little too late. Samsung DEX did this. Google is supposed to invent this (again). Everyone has failed. All apps need separate desktop versions to do this work. Essentially they need a second desktop app. This means more ram and more storage and more power.
by cthalupa | 2025-07-29 21:00:38+00:00
Why should we consider something that happened 250 years prior as some sort of affirmative defense of the Crusades as having been something that started with the Islamic world being the aggressors?

If the US were to start invading Axis countries with WW2 being the justification we'd of course be the aggressors, and that was less than 100 years ago.
by kpen11 | 2025-07-29 21:00:41+00:00
This is really cool! I've been using Obsidian more and more as a second brain and getting data in has consistently been the point of failure, so I've been wanting something just like this. Specifically something that runs locally and offline.

Is the future goal of Hyprnote specifically meeting notes and leaning into features around meeting notes, or more general note taking and recall features?
by stult | 2025-07-29 21:00:46+00:00
You can’t charge black people systemically different prices than white people, for example. Neither better nor worse prices. Proving causality would likely be the hard part, but a systematic survey of disparate pricing could show disparate impact. AI models frequently are invisibly biased on race because of some feature that operates as a proxy measure that the developers don’t recognize. eg something as simple as ZIP code combined with a name is a highly reliable predictor of race, and there are many similar, far more subtle ways bias can creep into a model.
by aryamaan | 2025-07-29 21:01:18+00:00
It is surprising that it is prompt based model and not RLHF.

I am not an LLM guy but as far as I understand, RLHF did a good job converting a base model into a chat model (instruct based), a chat/base model into a thinking model.

Both of these examples are about the nature of the response, and the content they use to fill the response. There are so many differnt ways still pending to see how these can be filled.

Generating an answer step by step and letting users dive into those steps is one of the ways, and RLHF (or the similar things which are used) seems a good fit for it.

Prompting feels like a temporary solution for it like how "think step by step" was first seen in prompts.

Also, doing RLHF/ post training to change these structures also make it moat/ and expensive. Only the AI labs can do it
by fn-mote | 2025-07-29 21:01:26+00:00
Currently that data is entered long after they display price information.

The article notes that they might require you to be logged in to your DeltaAir account to see the (good?) prices for routes.

I’m curious what this will do to route planning tools, resellers and travel agents. Ones I can think of would be Booking.com or Kayak — you couldn’t even see price info? That would be a radical change.
by danenania | 2025-07-29 21:02:14+00:00
I've found that a lot of prompt engineering boils down to managing layers of emphasis. You can use caps, bold, asterisks, precede instructions with "this is critically important:", and so on. It's also often necessary to repeat important instructions a bunch of times.

How exactly you do it is often arbitrary/interchangeable, but it definitely does have an effect, and is crucial to getting LLMs to follow instructions reliably once prompts start getting longer and more complex.