MurphyA/hacker-news huggingface dataset:
by Braxton1980 | 2025-11-12 12:52:26+00:00
Do you mean they simply paste information obtained without citation?

Because if you ask for an opinion on a subject it generates new information itself based on the data gathered.

It does sometimes quote sources, which are properly noted and attributed, but how is that wrong? People write books (for money) all the time and reference sources.

I'm not understanding why you think the LLM is different from a person in how it uses information to produce new work.
by throw0101d | 2025-11-12 12:52:40+00:00
Robert Llewellyn (previously of Red Dwarf fame) covered this idea eight years ago (July 2017) on his 'electrify' channel:

> The simple and very commonplace lamp post will soon become a ubiquitous charge point for electric cars. They charge at about 5 kW, or 16 amps, not super fast but overnight charging is all most drivers need. Ubitricity is a German based company who've come up with a simple, cheap to install and well managed system for more people on more streets to adopt electric cars.

* https://www.youtube.com/watch?v=rKaEhBjt1ls

See also pop-up chargers from six years ago:

* https://www.youtube.com/watch?v=Frkw6aurVUY
by drmpeg | 2025-11-12 12:53:26+00:00
The CME from the X5.1 flare has not arrived yet. Here are the websites I use:

https://www.swpc.noaa.gov/

https://www.swpc.noaa.gov/communities/space-weather-enthusia...

https://www.spaceweather.com/

https://space.umd.edu/pm/
Show HN: Ketchup AI – Free AI image generator, no signup required
by harperhuang | 2025-11-12 12:53:30+00:00
Hi HN,

I built Ketchup AI, a free AI image generator that works without any signup or registration. Key features: - No account needed - just open and start creating - Completely free with no usage limits - Built-in AI prompt optimizer that helps beginners write better prompts - Supports multiple languages (English, Japanese, Korean, etc.) - Images aren't stored on our servers (privacy-first) - Local prompt history (last 20, stored in browser only) - Multiple aspect ratios: 1:1, 16:9, 9:16, 4:3, 3:4 Average generation time is around 30 seconds. The prompt optimizer is particularly useful - it automatically expands simple descriptions into detailed prompts, which significantly improves output quality. Tech stack: Next.js 15, React, TailwindCSS, deployed on Cloudflare. I wanted to make AI image generation accessible to everyone without the friction of signup walls or credit systems. Would love to hear your feedback! Try it: https://ketchup-ai.com/
by ZpJuUuNaQ5 | 2025-11-12 12:53:33+00:00
You don't. You need to have a goal and clear understanding about why you are doing what you are doing. This is the same with pretty much all activities that require significant effort - motivation is a brief blip that eventually withers away once you start struggling. What you need is discipline, planning, and regular routine. Plan (allocate some time each day/week) and do this regularly. Can't take it anymore? Make a coffee, take a walk, rest for a little while, take a nap, whatever, and then try again. Motivation is not something that you should be constantly chasing in the first place.
by foldr | 2025-11-12 12:53:46+00:00
Who are you comparing the BBC to? I can’t think of a news service of comparable scope that clearly has a better track record when it comes to accuracy. The edit of Trump’s speech in that one documentary was indeed misleading, but it’s being blown out of all proportion here.

Meanwhile, the President who is a stickler for news accuracy and wants to sue the BBC for a billion dollars is busy broadcasting libelous nonsense to his Twitter followers on a daily basis (e.g. the absurd claim that Barack Obama has been receiving millions in Obamacare “royalties”).

The hypocrisy would be astounding if we weren’t already so used to it.
by breppp | 2025-11-12 12:54:03+00:00
For all of your questions Meta would need a huge research/GPU investment, so that still holds.

In any case if I have to guess, we will see shallow things like the Sora app, a video generation tiktok social network and deeper integration like fake influencers, content generation that fits your preferences and ad publishers preferences

a more evil incarnation of this might be a social network where you aren't sure who is real and who isn't. This will probably be a natural evolution of the need to bootstrap a social network with people and replacing these with LLMs
Building a database design tool with Tambo and Gemini 2.5
by akinloluwami | 2025-11-12 12:54:36+00:00
I built db‑thing, a developer tool that helps you design and visualize database schemas using natural language.

Under the hood:

It uses Tambo AI to orchestrate the workflow and handles user interactions. That means tool calls, chat threads, and component rendering, all handled by Tambo.

When you request a schema, Tambo makes a tool call to an endpoint that uses Gemini 2.5 to generate the actual database schema.

Tech stack: Next.js, Tailwind CSS, TypeScript + Tambo AI + Gemini 2.5.

GitHub: https://dub.sh/db-thing

I also wrote a post where I go into more detail about how I built db-thing: https://dub.sh/db-tool-with-tambo-gemini
by ACCount37 | 2025-11-12 12:54:46+00:00
And the YouTube web interface is full of issues too. For example, livestreams had transient memory leaks for months already, thought to be related to their chat implementation.

In the meanwhile, YouTube spends its effort on measures against yt-dlp, which don't actually stop yt-dlp.

What the fuck is wrong with Google corporate as of late.
by djoldman | 2025-11-12 12:54:55+00:00
From

https://github.com/yt-dlp/yt-dlp/wiki/EJS

it looks like deno is recommended for these reasons:

> Notes

> * Code is run with restricted permissions (e.g, no file system or network access)

> * Supports downloading EJS script dependencies from npm (--remote-components ejs:npm).
by HarHarVeryFunny | 2025-11-12 12:55:00+00:00
Learning from the real world, including how it responds to your own actions, is the only way to achieve real-world competency, intelligence, reasoning and creativity, including going beyond human intelligence.

The capabilities of LLMs are limited by what's in their training data. You can use all the tricks in the book to squeeze the most out of that - RL, synthetic data, agentic loops, tools, etc, but at the end of the day their core intelligence and understanding is limited by that data and their auto-regressive training. They are built for mimicry, not creativity and intelligence.
by serial_dev | 2025-11-12 12:55:04+00:00
Or they will set up one more AI automation:

"This article will be posted on our prestigious news site. Our readers don't know that most of our content is AI slop that our 'writers' didn't even glance over once, so please check if you find anything that was left over from the LLM conversation and should not be left in the article. If you find anything that shouldn't stay in the article, please remove it. Don't say 'done' and don't add your own notes or comment, don't start a conversation with me, just return the cleaned up article."

And someone will put "Prompt Engineer" in their resume.
by techdmn | 2025-11-12 12:55:05+00:00
I've been working in this direction as well. I treat it like a game. Sure I /could/ just order thing off the internet, but if it were a scavenger hunt, where could I find thing at a locally owned business and pay cash?

Sometimes it's easy, sometimes it's hard, sometimes I give up and order it online. But the more people do this the more it will (continue to) be a supported use-case.

I've had some interesting conversations, interacting with people in the real world, just by going into a store and telling them I'm trying to find a thing. I tell them what game I'm playing, they're usually pleased to hear it and happy to help if they can.
by potato3732842 | 2025-11-12 12:55:09+00:00
> During wartime you need lots of materiel quickly, so value for money estimates, anti corruption practices all get reduced in the name of production numbers at all costs

Everyone keeps saying this yet it seems to be the opposite, results for dollars tradeoffs are better in wartime.

If anything it seems like the difference is that during wartime it's easier for the end users to tell the bureaucracy to get out of the way and as a result value for money is unchanged or even improved.

>You also don’t want a Russia situation where you ignore value for money estimates and audits only to find the money you spent on missiles went in the back pocket of a random colonel.

There is no difference to the taxpayer or the soldier in the trench whether the money went into one specific colonel's back pocket or got pissed away on running organizational process. The money is gone and the missile isn't there.

At you can least throw colonel in jail (or out a window, because Russia). Imagine if instead of a colonel's pocket the money was spent pushing papers around to no end? It would be the Spiderman pointing at Spiderman meme and nobody would be held responsible except perhaps an unlucky scapegoat.
by kragen | 2025-11-12 12:55:17+00:00
If your random bit streams are generated by deterministic processes such as LFSRs, and you're combining them with things like NAND gates, you should easily be able to get the bit error rate down below 10⁻²⁰, I'd think? (And crosstalk would be a bit error.) How often do the gates in your CPU produce the wrong answer?
by apawloski | 2025-11-12 12:56:15+00:00
That's what I'm most curious about -- how do you see that it hasn't arrived yet when you're looking at SWPC?

Here is the SWPC forecast [0]

Time_UTC,Nov_12,Nov_13,Nov_14

00-03UT,8.67 (G4),6.67 (G3),4.67 (G1)

03-06UT,8.33 (G4),6.33 (G2),4.00

06-09UT,7.00 (G3),6.00 (G2),3.33

09-12UT,7.00 (G3),4.67 (G1),3.67

12-15UT,6.00 (G2),4.00,3.33

15-18UT,5.67 (G2),3.33,3.00

18-21UT,7.67 (G4),4.33,3.00

21-00UT,6.00 (G2),4.67 (G1),3.33

So I guess 18-21UTC today it'll get around 7.7kP, but that's lower than what hit this morning, when I'd expect X5.1 to be larger? Is that how I should interpret this?

[0] https://www.swpc.noaa.gov/communities/space-weather-enthusia...
by andriamanitra | 2025-11-12 12:56:55+00:00
As much as I hate to be on Google's side I think they're doing a reasonable thing here. Valid bug reports are valuable contributions on their own, and disclosing security issues is standard practice. Not disclosing them doesn't help anyone. Security through obscurity is not security. If neither FFMPEG nor Google dedicate resources to fixing the issue in 90 days, making it public at least ensures that it gets visibility and thus has a higher chance to get fixed by a third party.

I'm sure Google could (and probably should) do even more to help, but FFMPEG directing social media rage at a company for contributing to their project is a bone-headed move. There are countless non-Google companies relying on FFMPEG that do much less for the project, and a shit show like this is certainly not going to encourage them to get involved.
by NoboruWataya | 2025-11-12 12:57:42+00:00
Personally, being somewhat technically inclined I find there is rarely much of a reason to pay for the ongoing use of software. The large majority of software I use is open source and self-hostable. The JetBrains IDEs are good enough that I would consider paying for them, if programming was my livelihood (and I didn't have an employer to pay for them). But programming is just a hobby for me so I'm not inclined to pay for an IDE. Really the only class of software I occasionally pay for is games, but that is always a once-off payment, I don't subscribe for anything.

When I pay for subscriptions, it tends to be for ongoing access to content (music, movies, etc) or infrastructure (storage, server usage, etc). Often that stuff comes bundled with proprietary software but if anything I would much rather it didn't and I could just interact with the content/infrastructure using open source software.

I'm not generally thrilled to be paying a subscription for content, which I would rather own, and indeed I am getting more and more into taking ownership over it. But admittedly there are other benefits to things like music subscriptions, like discoverability and the fact that you don't need a load of storage.

Note taking apps are something I see discussed a lot on HN and there seem to be loads of fancy subscription based services in that space. I don't get it at all - I use Joplin to keep notes and already I feel like that is an over-engineered solution and am considering just going back to text editor + .txt/.md files.
by tome | 2025-11-12 12:58:27+00:00
> there wasn't any functional programming ...This is 100% imperative

What distinction are you drawing between functional and imperative programming? This is not a trick question. Simon Peyton Jones has described Haskell as "the world's finest imperative programming language", and one way of interpreting my Haskell effect system Bluefin[1] is "purely functional imperative programming". I don't think functional and imperative are are mutually exclusive, in fact, I don't think they're even at odds. I think they're both at their best when combined.

[1] https://hackage.haskell.org/package/bluefin
by cheschire | 2025-11-12 12:59:06+00:00
The Dallas area is a major tech hub. It’s just an older hub of major enterprisey type companies with major tech divisions there like Texas Instruments, AT&T, Bank of America, defense contractors like Lockheed, etc.

Office Space took place there before the dotcom bust.

Less enterprisey, but John Carmack and id Software also started there.
by kittikitti | 2025-11-12 12:59:32+00:00
I think moving on from LLM's is slightly arrogant. It might just be my understanding, but I feel like there is still much to be discovered. I was hoping for development in spiking neural networks but it might be skipped over. Perhaps I need to dive even deeper and the research is truly well understood and "done" but I can't help but constantly learn something new about language models and neural networks.

Best of luck to LeCun. I hope by World Model's he means embodied AI or humanoid robots. We'll have to wait and see.
by kgwgk | 2025-11-12 12:59:36+00:00
Related:

https://www.mdpi.com/2673-9984/3/1/9

"our knowledge of quantities is necessarily accompanied by uncertainty. Consequently, physics requires a calculus of number pairs and not only scalars for quantity alone. Basic symmetries of shuffling and sequencing dictate that pairs obey ordinary component-wise addition, but they can have three different multiplication rules. We call those rules A, B and C. “A” shows that pairs behave as complex numbers, which is why quantum theory is complex."

https://arxiv.org/abs/0907.0909

"the complex nature of the quantum formalism can be derived directly from the assumption that a pair of real numbers is associated with each sequence of measurement outcomes, with the probability of this sequence being a real-valued function of this number pair. By making use of elementary symmetry conditions, and without assuming that these real number pairs have any other algebraic structure, we show that these pairs must be manipulated according to the rules of complex arithmetic"
by Amezarak | 2025-11-12 13:00:12+00:00
The IRS has no idea what deductions and credits are applicable to you and has no way of finding out. They could maybe prefill your reported gross income but then they’re at a loss.

In other countries there are such things as national citizen registries with domicile and familial information, this doesn’t exist in the US. If it did you could use that information to get much more of a start.
by mrkiouak | 2025-11-12 13:00:20+00:00
As someone who worked as a software engineer at Google on a service that heavily depended on FFmpeg, its absurd that Google posts security bugs (which have the obvious potential outcome of driving more free work) vs just paying an engineer to fix the bug.

I promise they are spending more on extra compute for resiliency and redundancy for FFMPEG issues than it would cost for a single SWE to just write a fix and then shepherd through the FFmpeg approval process.
by tome | 2025-11-12 13:00:33+00:00
> Many practical type systems (like Haskell with type classes) break it with ad-hoc polymorphism or runtime types.

Haskell does not break parametricity. Any presence of ad-hoc polymorphism (via type classes) or runtime types (via something like Typeable, itself a type class) is reflected in the type signature and thus completely preserves parametricity.
by meltyness | 2025-11-12 13:00:43+00:00
> especially knowing you are actually never going to work on such problems as part of an actual job

Actually, unwittingly, problem solving being a common organizational behavior, and most algorithms being a blueprint for optimal problem solving; maybe get curious and shed the incline that they are merely academic?

Anyways, I did this, myself recently. I picked up CLRS and read it, omitting or skimming the proofy sections, opting to focus on design and intuition, which is troublesome when they begin to overlap. I hope to revisit it. It's a nice space to be in, a blissful stroll through pedagogy, little history lessons, easy stuff.

As I progressed through the readings I worked a healthy number of problems. Lots of struggle and pain working exercises, opting to avoid hints or shortcuts and spend hours and hours to internalize. This part stings. No one likes to bathe in the lather of their own ignorance, but it can be done.
by Forgeties79 | 2025-11-12 13:00:46+00:00
I don’t think it’s such a wild possibility that more and more jobs will be able to be done with locked down tablets and smart phone while fewer will be done on laptops and desktops. We are already seeing it at the personal level - people are entirely forgoing personal computers and using mobile devices exclusively. The amount isn’t huge (like 10 or 15% in the US IIRC?) but 10 years ago that was unthinkable IMO.

I was reading a study recently that claimed Gen Z is the first generation where tech literacy has actually dropped. And I don’t blame them! When you don’t have to troubleshoot things and most of your technology “just works“ out the box compared to 20 or even 10 years ago, then you just don’t need to know how to work under the hood as much and you don’t need a fully fledged PC. You can simply download an app and generally it will just take care of whatever it is you need with a few more taps. Similar to how I am pretty worthless when it comes to working on a car vs my parents generation could all change their own oil and work on a carburetor (part of this is also technology has gotten more complicated and locked down, including cars, but you get my point).

The point of all this is I could definitely see a world where using a desktop/laptop computer starts becoming a more fringe choice or specific to certain industries. Or perhaps they become strictly “work” tools for heavy lifting while mobile devices are for everything else. In that world many companies will simply go “well over 90% of our users are only using the app and the desktop has become a pain in the ass to support as it continues to trend downwards so…why bother?”

Who knows the future? Some new piece of hardware could come out in 10 years and all of this becomes irrelevant. But I could see a world where devices in our hands are the norm and the large device on the desk becomes more of a thing of the past for a larger percentage of the population.
by wesrobin | 2025-11-12 13:00:55+00:00
One of the problems I experienced trying to hold motivation was a sense of futility. There really isn't a sense of progress if you're just aimlessly solving problems with some abstract notion of getting better. Instead what I found helped is trying to work towards some sort of goal, for me that goal was to improve my _approach_ to leetcode problems, not necessarily focus on how many I can solve. Through this I found out that most leetcode-style problems fall into one of a number of solution 'buckets,' and the challenge shifted more into a problem classification task, rather than a coding task. I found my ability to do (a very few) hards unaided its own reward and motivation to continue! Up to a point of course, at some point it does just become repetitive again. This website helped a bunch:

https://blog.algomaster.io/p/15-leetcode-patterns
by Braxton1980 | 2025-11-12 13:01:10+00:00
The right to quote allows the use of copyrighted text with limits that are followed by OpenAI

https://en.wikipedia.org/wiki/Right_to_quote

I think your copyright argument is focused on media, like music. This appears be a specific exception that applies to text. Music sampling for example is a direct copy of the recording but quoting text, even though it's a copy, is a new work because although the words are the same it's not the original copied (as in the quote is written or typed by OpenAI).
by NiloCK | 2025-11-12 13:01:46+00:00
Trying to engage in good faith here but I don't really get this. You're pretending to have never encountered positive visions of technologically advanced futures.

Cure all disease?

Stop aging?

End material scarcity?

It's completely fair to expect that these are all twisted monkey's paw scenarios that turn out dystopian, but being unable to understand any positive motivations for the creation of AGI seems a bit far fetched.
by dspillett | 2025-11-12 13:01:51+00:00
> Is it because it would break compatibility with some devices?

This is a significant part of it. There are many smart devices that would not be capable of running that sort of software. As those cycle out of the support windows agreed way-back-when then this sort of limitation will be removed.

I'm sure this is not the only consideration, but it is certainly part of the equation.
by BinaryIgor | 2025-11-12 13:02:16+00:00
"It’s funny how “ownership” in the digital world has become an illusion. You don’t really own your apps, your music, or even your tools anymore. You’re just renting access until someone decides to move the paywall. It’s convenient, sure, but it also feels like losing control over something that used to be ours."

Sounds to me like a fallacy; there always were, are and will be are open-source alternatives to many of these tools and services, but they will never reach the scale and user-friendliness of the pay-to-use versions simply because of incentives. It's a painful and arduous work to make something of value to a particular demographic of users and keeping it so - we simply didn't find any better than for-profit companies way of providing such amazing things.
by sllabres | 2025-11-12 13:02:20+00:00
If you are (obviously) interested in the matter you might find one of the Bell Labs articles discussed on HN:

"Why Bell Labs Worked" [1]

"The Influence of Bell Labs" [2]

"Bringing back the golden days of Bell Labs" [3]

"Remembering Bell Labs as legendary idea factory prepares to leave N.J. home" [4] or

"Innovation and the Bell Labs Miracle" [5]

interesting too.

[1] https://news.ycombinator.com/item?id=43957010 [2] https://news.ycombinator.com/item?id=42275944 [3] https://news.ycombinator.com/item?id=32352584 [4] https://news.ycombinator.com/item?id=39077867 [5] https://news.ycombinator.com/item?id=3635489
by nashashmi | 2025-11-12 13:02:36+00:00
One of the great advantages of AI for non english native speakers is the ability of the tool to speak in better English than the writer. With so many young journalists graduating from school using AI instead of learning the full language, this use would become more frequent.

At my work place, non native speakers would send me documents for grammatical corrections. They don’t do that anymore! Hoorah!
by cachius | 2025-11-12 13:04:41+00:00
You might want to read https://learn.microsoft.com/en-us/dotnet/core/deploying/nati...

Publishing your app as Native AOT produces an app that's self-contained and that has been ahead-of-time (AOT) compiled to native code. Native AOT apps have faster startup time and smaller memory footprints. These apps can run on machines that don't have the .NET runtime installed.