MurphyA/hacker-news huggingface dataset:
by dangus | 2025-09-02 04:35:28+00:00
I agree with you that the profit comes from higher level services built on top.

But I think you are making it sound like Amazon's moat is that it came up with its own technology behind its services.

A lot of times AWS was just grabbing a bunch of popular open source stuff off the shelf and hosting it (e.g., RDS, EKS, etc). Yes there is some R&D work but almost none of what Amazon has come up with is rooted in their own work.

The value they give you is the hosting, maintenance, and compliance of all these services. If you're paying AWS extra to host your database on RDS or your Kubernetes cluster in EKS, you're generally not paying AWS to come up with a better database than anyone else, you're just paying them to help you manage permissions, backups, replication, and other maintenance/compliance/management issues that a company needs for its internal services.

In other words, Amazon's AI customers don't need Amazon to build models. They just need Amazon to use someone else's models, host them on private enterprise compute that easily ties in to existing infrastructure, RBAC, etc, and make everything compliant and easy to maintain. A whole lot of the value is being able to answer audits with "AWS handles our database backups/data security/etc" rather than saying "we have a great ops team and here's all our proof that we handle our database backups/data security/etc properly."

I think it's actually explicitly Amazon's job to sit this one out, especially since they never successfully made a good business or consumer ecosystem device like a smartphone or PC operating system.
by mindwok | 2025-09-02 04:36:50+00:00
LLMs and whatever succeeds them are going to change how we interact with information in a big way. Microsoft has so far mostly stayed out of that race and that’ll be a huge issue that compounds over time. What they do have though is access to power and pretty significant data centre presence. I definitely wouldn’t write them off but it’s not looking good over the long term.
by buu700 | 2025-09-02 04:37:21+00:00
However, I’m not sure why this writing style would become increasingly common?

I was basing that on a few factors, off the top of my head:

1. Someone might pick up mannerisms while using LLMs to help learn a new language, similarly to how an old friend of mine from Germany spoke English with an Australian accent because of where she learned English.

2. Lonely or asocial people who spend too much time with LLMs might subconsciously pick up habits from them.

3. Generation Beta will never have known a world without LLMs. It's not that difficult to imagine that ChatGPT will be a major formative influence on many of them.

As others have said, if I want info from a LLM about a subject, it is trivial for me to get that.

Sure, it's trivial for anyone to look up a simple fact. It's not so trivial for you to spend an hour deep-diving into a subject with an LLM and manually fact-checking information it provides before eventually landing on an LLM-generated blurb that provides exactly the information you were looking for. It's also not trivial for you to reproduce the list of detailed hand-written bullet points that someone might have provided as source material for an LLM to generate a first draft.
by tasercake | 2025-09-02 04:37:47+00:00
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Website: https://penukonda.me

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Full Stack + AI Engineer. 4+ years building scalable AI systems, full-stack platforms, and high-reliability cloud infra at Hypotenuse AI (YC S20) as Lead SWE.

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by janalsncm | 2025-09-02 04:38:01+00:00
As I’ve said before, the kind of AI that makes money is called machine learning. Pricing ads, recommending products, improving search, optimizing routing.

In general these fall into the category of things humans cannot do at the scale and speed necessary to run SaaS companies.

Many of the things LLMs attempt to do are things people already do, slowly and relatively accurately. But until hallucinations are rare, slow expensive humans will typically need to be around. The AI booster’s strategy of ignoring/minimizing hallucinations or equivocating with human fallibility doesn’t work for businesses where reliability is important.

Note that ML algorithms are highly imperfect as well. Uber’s prices aren’t optimal. Google search surfaces tons of spam. But they are better than the baseline of no service exists.
by kergonath | 2025-09-02 04:38:04+00:00
> They are talking about obsoleting hardware not because it’s fundamentally broken, but because it no longer fits neatly into a roadmap.

Not really. The discussion is about cost, benefits and available resources. Projects are not immune because they are open source or free software. Actual people still need to do the work.

> Open source has always been about making hardware outlive commercial interest and let it run long after the hardware vendor abandons it.

Again, not really. Open source has always been all about freely modifying and distributing software. This leaves some freedom for anyone to keep supporting their pet hardware, but that’s a consequence. In this case, I don’t think it would be a real problem if anyone would step up and commit the ressources necessary to keep supporting older hardware. This freedom was not taken away because a project’s developers decided that something was not worth their time anymore.
by matrix87 | 2025-09-02 04:38:32+00:00
> An alternative interpretation, which we advance in this analysis, is that populism enables the expression (and execution) of authoritarian impulses within a democratic system. If this interpretation holds, then merely addressing economic inequalities or enhancing political representation through mechanisms such as referendums will be insufficient to mitigate underlying authoritarian impulses. Governments will need to proactively reinforce existing democratic safeguards before populist actors assume power.

I.e. the solution to democracy is getting rid of democracy. More doublethink I guess
by TheDong | 2025-09-02 04:40:25+00:00
I'm not complaining about the license, I'm complaining about the library size.

Something that is too small to be considered creative should be a documented example you copy and adopt into your app, not a dependency.

The only exceptions to this are things like "A dependency that contains all unicode planes and categorizes characters", which isn't creative, but is useful and too large to copy-paste, and also updates over time.

Or the timezone database file, another case of something that should be "public domain" knowledge (uncopyrightable), but makes sense as a dependency.

This is not that sort of thing.
by atoav | 2025-09-02 04:40:50+00:00
This made me recall a sales interaction with a company myself. Somehow a sales person from a company noticed we were in the market for an somewhat expensive product their company was selling.

They always called during lunch hours (three times). When I finally had a short moment, there was (1) nothing substantial the sales person could tell me about their products or their prices, (2) they had no idea how we (public sector) have to buy things and wanted me to make an exception and when I asked them to just email me their offer to my publicly available email address (3) they didn't.

By that point that company would have been better off not having a sales person. And that type of experience was up to today nearly the only thing that happened with sales, except for one time where the company sent a technician to have a look at our circumstances which worked great.
by pavon | 2025-09-02 04:41:05+00:00
There are a lot of computations where 256 is too small of a range but 65536 is overkill. When designers of early computers were working out how many digits of precision their calculations needed to have for their intended purpose 12 bits commonly ended up being a sweet spot.

When your RAM is vacuum tubes or magnetic core memory, you don't want 25% of it to go unused, just to round your word size up a power of two.
by dangus | 2025-09-02 04:41:07+00:00
I don't understand why AWS needs to be in the model business. They didn't develop databases, they didn't develop Kubernetes, they didn't develop Linux, and the list goes on and on.

Not a whole lot in their portfolio actually has a lot of Amazon technology behind it. They've got some mild forks here and there, and they've got some stuff like Fargate that has AWS R&D work behind it but piggybacks concepts/tech stacks that definitely didn't originate from Amazon.

A lot of their value has really nothing to do with developing the underlying technology.
by scotty79 | 2025-09-02 04:41:23+00:00
I'd like to not risk food poisoning, insect borne diseases, accidentally landing in Turkish prison because of some random misunderstanding and I have general reluctance of entering boundaries of semi-theocratic semi-dictatorship. I'm sure it's all silly, but as long as I don't have to I'd happily avoid any risks, even minuscule.
by Omega_Tm | 2025-09-02 04:41:58+00:00
Location: California Remote: Yes

Willing to Relocate: Yes (Not Picky)

Technologies:C++,C#,Javascript, OpenGL,GlSL, Unreal Engine, Unity Engine, Python

Resume:https://docs.google.com/document/d/1tbcpQ3fh_XaU9nut9L14COVV... (portfolio linked on Resume)

Email:jverespey@gmail.com

Computer Science/Game Developer recent grad looking for any opportunity to get the ball rolling on my career. Great problem solver and quick learner, open to pretty much any tech industry.
by KingMob | 2025-09-02 04:42:08+00:00
Yes, you can browse them at https://mise.jdx.dev/registry.html

Also, it's possible, if trickier, to install from arbitrary git repos.

Finally, if you type `mise use` with no package name, it'll present a filterable list. Start typing what you think you want, and it'll quickly filter to only things match.
by nradov | 2025-09-02 04:42:54+00:00
It would be great to see more underwater archaeology, I'm sure there's a lot to find. But due to variations in local conditions it's really tough to systematically investigate: every site has to be treated individually. Plus doing anything underwater becomes at least 10× harder and more expensive. Human scientific divers can only work easily down to about 30m: anything significantly deeper requires commercial diving protocols, submersibles, or ROVs which raise the difficulty and cost even further.
by arwhatever | 2025-09-02 04:43:23+00:00
I'm way late to think of this and circle back here, but if you don't mind briefly switching languages to F#, I first grasped these concepts via "Designing with types: Making illegal states unrepresentable"

https://fsharpforfunandprofit.com/posts/designing-with-types...

... and I would suggest actively playing around with the code examples, extending them, breaking them intentionally etc. somewhere like https://dotnetfiddle.net/

I think the article is brilliant but as I recall I wasn't able to grasp the concepts from reading alone.

That same website has a separate article on building a calculator (in code) that I recall was also excellent.
Show HN: Self-Evolving Agents – interactive evolving AI agent list
by EvoAgentX | 2025-09-02 04:43:46+00:00
Hello HN,

I’m the creator of *Awesome-Self-Evolving-Agents*, a curated GitHub repository that compiles the latest papers, frameworks, and tools on *self-evolving AI agents*—systems capable of autonomously improving themselves based on interaction feedback.

I put this together because the field is rapidly evolving and fragmented. I couldn’t find a single, organized overview spanning foundational theory, architectural patterns, open-source frameworks, and implementations. This repo fills that gap, with structured sections such as:

- Conceptual frameworks and surveys (2025 papers included) - Open-source frameworks and tools - Implementation case studies (like EvoAgentX) - Multidisciplinary applications (coding agents, healthcare, finance, etc.)

Check it out here—no signups or paywalls, just browse: https://github.com/EvoAgentX/Awesome-Self-Evolving-Agents

I’d welcome your feedback: any missing papers, tools, better ways to structure the content, or suggestions for improvement.

Thanks for taking a look!
by aishtomer | 2025-09-02 04:44:16+00:00
Location: London, UK

Remote: Yes Hybrid: Yes Willing to relocate: Yes

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by ggm | 2025-09-02 04:46:23+00:00
What I read suggest "Authors hate this one trick" which is having anything or anyone other than the auteur suggest plot lines or magical words. Nothing kills a novel like a future IPR fight because "you stole my idea" plus it feels deeply uncool.

"I have a great idea for a book:... wheredidhego?" is not that dissimilar to "I asked GPT for a plot idea and now my creativity is on the floor"
by nulld3v | 2025-09-02 04:46:34+00:00
Given that it's just a couple lines of code and has no other dependencies other than AppCompat (which nearly all apps already use), the increase in size would be negligible (<4KB).

EDIT: The AAR file is 26KB: https://jitpack.io/com/github/woheller69/FreeDroidWarn/V1.3/... But most of it looks to be from R.txt and I think that file gets deduped/compressed during app packaging?
by 8f2ab37a-ed6c | 2025-09-02 04:46:40+00:00
This happens already in dating apps. https://www.vice.com/en/article/banned-from-dating-apps/

Date didn't go as well as the other person was hoping? They can report you to the app, some tired and overworked support person in an emerging market bans you, they keep whatever cash you already spent on bonus likes and your multi-month subscription, no refunds.

And you can never sign up from the same Google/Apple account, the same phone, and with the same face, because of course now you have to verify your biometric information with some of these apps (Bumble is introducing submitting your id or taking verification photos).

Or their AI misfires and deems you as having said something inappropriate, again, off you go. You have no recourse, hope you know someone who works at that company who can flip the bit in their database.

Want to know the reason why they banned you? Sorry, that's sensitive information, you will never know, only that you "violated the terms of service". Which one? Sorry, we can't tell you, goodbye.

Oh, now 60% of society meets through datings apps? Too bad, you don't get to anymore, shouldn't have violated our terms of service. Oh, and most of these apps are run by the same company, so you get banned on one, you likely get banned from all on them at once. Have fun.
by chrismorgan | 2025-09-02 04:47:55+00:00
Have you looked at the code? I sure wouldn’t produce exactly that. Even for identical functionality, its FreeDroidWarn.java methods are 30 lines, I’d write it in 13 lines. I also wouldn’t write exactly the same strings (some stylistic changes, some being specific rather than generic as is somewhat necessary for a library), and definitely couldn’t produce 17 other translations.

This easily meets thresholds for creative work. The basic concept is nigh-trivial, but the concrete implementation is still creative.
by habinero | 2025-09-02 04:50:10+00:00
I mean, you can just look it up instead of spreading conspiracies.

Apple put in functionality that makes it impossible for them to unlock phones and added additional controls to make brute forcing infeasible. The fight was fought, they had it out in court, and it's done.

If that wasn't true, literally all iPhones would be backdoored by the Russians and Chinese lol. Law enforcement is utterly incompetent when it comes to technology, you think they wouldn't immediately leak keys or access?
by muldvarp | 2025-09-02 04:51:05+00:00
Yeah, obviously nobody that actually though about the consequences wants a large part of the population to become unemployed. Even if your job is not threatened by automation, it will be threatened by a lot of people looking for new jobs.

And the kind of automation brought by LLMs is decidely different than automation in the past which almost always created new (usually better) jobs. LLMs won't do this (at least to extent where it would matter) I think. Most people in ten years will have worse jobs (more physically straining, longer hours, less pay) unless there will be a political intervention.
by Krasnol | 2025-09-02 04:51:16+00:00
Wouldn't it be nice if, in this time of feeding our IDs to the machine, there would be someone who would also offer some nice and easy way to identify ourselves digitally? Maybe someone who sits on all that unverified advertisement tracking data already and somebody who has an AI agent to feed?

I'm sure everybody would profit from that...

https://blog.google/products/google-pay/google-wallet-age-id...
by fruitplants | 2025-09-02 04:51:40+00:00
> I think you can actually do a lot with average people, if you have...

This is an important perception. Possibly due to general (and HN) bias towards talent and hero worship, this reality is overlooked at times. But at scale in a normal distribution, not all people will be within some stringent bounds of sigma. And companies once they become big will have some 'business to run'. Of course, on small scale I have seen a few skunkworks projects and have seen them work well.
by pseudo0 | 2025-09-02 04:52:06+00:00
I had a fingerprint scanner on an old phone and it would fail if there was a tiny amount of dirt or liquid on my finger or on the scanner. It's not big deal to have it fail on a phone, it's just a few seconds of inconvenience putting in a passcode instead. On a firearm, that's a critical safety defect. When it comes to safe storage, there are plenty of better options like a safe, a cable/trigger lock, or for carrying, a retention holster (standard for law enforcement).
by jsnell | 2025-09-02 04:52:11+00:00
> OpenAI is making $12 billion a year off of 700 million users [1], or around $17 per user annually. What other products that have no ad support perform that badly?

That's a bit of a strange spin. Their ARPU is low because they are choosing not to monetize 95% of their users at all, and for now are just providing practically limitless free service.

But monetising those free users via ads will pretty obviously be both practical and lucrative.

And even if there is no technical moat, they seem to have a very solid mind share moat for consumer apps. It isn't enough for competitors to just catch up. They need to be significantly better to shift consumer habits.

(For APIs, I agree there is no moat. Switching is just so easy.)
by Mars008 | 2025-09-02 04:52:33+00:00
This is not mutually exclusive. They have home made robots and let others sell robots on their website. The same way they want to use AI and have resources to make their own. One way to use is to drive those robots. Another to enhance their web site. Current version sucks. I recently return the item because their bot told it has functionality while in fact it didn't.
by NoMoreNicksLeft | 2025-09-02 04:54:47+00:00
The shape of letters, including their spacing, isn't protectable under US law. Kerning and hinting aren't derivative, because typefaces aren't creative works that anything could be derived from.

>The ruling is not foolish: it's actually one of the more sensible aspects of copyright law imo.

The bar is so low, I fear you might be right on technicality.
by itchingsphynx | 2025-09-02 04:55:46+00:00
The blog cites an interesting tool called COST: The NetBlocks Cost of Shutdown Tool https://netblocks.org/projects/cost

NetBlocks Cost of Shutdown Tool™ (COST) is a data-driven online service that enables anyone – including journalists, researchers, advocates, policy makers, businesses, and others – to quickly and easily produce rough estimates of the economic cost of Internet disruptions.

https://progres.online/reports/internet-freedom/what-does-in...

"It indicates that a total internet shutdown in Turkmenistan for one day could result in a loss of 17.4 million USD, which translates to 6.4 billion USD per year, equivalent to around 7.8% of the country’s GDP in 2023."
by N_Lens | 2025-09-02 04:56:21+00:00
I wonder what underpins the arising of this kind of pattern of authoritarian government, which we also see arising in supposedly liberal Western democracies.

Some people voice concern about the emergence of “prison planet” (a phrase with varied meanings), but with the rise of mass surveillance, drone tech, AI and authoritarianism I can well imagine the worst patterns of governance finding a stable equilibrium for a considerable period of time.
by phantomathkg | 2025-09-02 04:57:47+00:00
It is not a burst but a consistent sabotage action happening in the background [1]. To make the matter worse, those vessels that commit the crime will be merchant ship flying flags of convenience. [2]

[1] https://globaltaiwan.org/2025/03/countering-chinas-subsea-ca.... [2] https://www.bbc.com/news/articles/cwy3zy9jvd4o
by cnst | 2025-09-02 04:58:14+00:00
That trial they'll be running isn't even live yet, and isn't even set in stone, either, and is limited to just a few countries in APAC. So, even with the news, it's still 2y away at a minimum for the US/EU.

Part of the big success of sideloading is that few people are doing it in the US/EU, so the attack surface is smaller as a result.
by NoMoreNicksLeft | 2025-09-02 04:59:51+00:00
24 was Fox, if I'm not mistaken, and its format is very much the same as all broadcast shows.

Breaking Bad isn't the same format. No obvious commercial breaks, no saccharine Hays-Code-like bullshit.

Others mentioned The Shield, which is FX, and I tend to think of FX shows as not being of the broadcast mold. Monk was USA, I think, which as a network was borderline, but seems like a few of their original programming shows were not-horrible. Then someone said Deadliest Catch, but that's just cheap reality tv sludge and I feel dirty having typed out its title. Even the worst 1980s NBC sitcom was better than reality tv shows.

It's come to my attention that you're all, every last one of you, watching tv wrong.
by atoav | 2025-09-02 05:00:37+00:00
> Attaching to buyers pain is the only way you’ll ever get anything meaningful done.

Yes. Under the one precondition that you can actually provide a solution. Your customer might know that pain better than you do and they may sometimes know the solution space better than you do.

That is rare, but I have been on the reverse end of that multiple times. And while it isn't a catastrophe if the sales person is just that, they may need to convince someone with an actually hard problem that they (and their collegues) have the competency to solve it.

Some problems are just genuinely hard. Not in a "we would need to restructure some things"-hard, but rather "limited by the laws of physics"-hard.

If that is the case with a customer all you can offer is to try together.