MurphyA/hacker-news huggingface dataset:
by kdolsonUNC | 2025-07-01 17:52:23+00:00
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by mertens | 2025-07-01 17:52:52+00:00
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by xoa | 2025-07-01 17:52:55+00:00
>Only possible AC is those single hose mobile units which are wildly inefficient and close to useless while burning energy.

FWIW at least in the US (and I can't imagine they wouldn't be available worldwide) there are also dual hose portable AC units which can perform fairly decently, at least far better than single hose. I needed to use one for awhile at an old office (I think it was a Whynter model) and it was effective. There are also more exotic portable units that use water as the fluid dump, but that requires having a sufficient water source that you can utilize, and probably isn't going to be doable in a residential unit in a city. We had a couple at the chemistry lab I worked in 10-15 years ago that hooked into the lab water lines.
by materialpoint | 2025-07-01 17:52:59+00:00
I thought the point of a sliding window, especially a fixed one, is to add the next element and subtract the oldest one from a running sum, to achieve O(1) running time except the start cost. This is what an efficient constant-time median filter in image processing would do, such as Perreault and Hébert's Median Filtering in Constant Time, and Weiss' Fast Median and Bilateral Filtering do.

Edit: I can't see the visualizer explaining this part.
by oxidi | 2025-07-01 17:53:39+00:00
Good point. Though sampling generally happens on the CPU in a linear way. What you describe might influence the raw output logits from a single LLM step, but since the differences are only tiny, a well designed sampler could still make the output deterministic (so same seed = same text output). With a very high temperature these small differences might influence the output though, since the ranking of two tokens might be swapped.

I think the usual misconception is to think that LLM outputs are random "by default". IMHO this apparent randomness is more of a feature rather than a bug, but that may be a different conversation.
by myfonj | 2025-07-01 17:53:54+00:00
Well we should first establish some sort of contract how to convey the "I feel that I actually understand this particular piece of information, so when confronted with it in the future, you can mark is as such". My lines of thought were more about a tutorial page that would present the same techniques as course you have finished a week prior, or news page reporting on an event you just read about on a different news site a minute before … stuff like this … so you wold potentially save the time skimming/reading/understanding only to realise there was no added value for you in that particular moment. Or while scrolling through a comment section, hide comment parts repeating the same remark, or joke.

Or (and this is actually doable absolutely without any "AI" at all):

What the bloody hell actually newly appeared on this particular URL since my last visit?

(There is one page nearby that would be quite unusable for me, had I not a crude userscript aid for this particular purpose. But I can imagine having a digest about "What's new here?" / "Noteworthy responses?" would be way better.)

For the "I need to cite this source", naturally, you would want the "verbatim" view without any amendments anyway. Also probably before sharing / directing someone to the resource, looking at the "true form" would be still pretty necessary.
by acd | 2025-07-01 17:53:55+00:00
No the US Sherman anti trust law prohibit monopolies. Its not a corporate right but right by citizens not to be affected by monopoly by rule of law or until tried.

"The Sherman Act broadly prohibits 1) anticompetitive agreements and 2) unilateral conduct that monopolizes or attempts to monopolize the relevant market. " source: https://en.wikipedia.org/wiki/Sherman_Antitrust_Act
by goku12 | 2025-07-01 17:53:57+00:00
> I think I only started to really hate it when I had to deal with some Python code where people decided to nest them and made a really hard to read mess where they should have used just a normal if-else chain.

Oof! I can see how that can get really messy really fast. Though I wonder how much of it is the language's fault as it is the programmer's. I used to tell my students to avoid trying to be too clever with the source code. Source is meant for humans to read. Leave the cleverness to the interpreter.

> On a more basic level, I just don't see any good reason to put the condition in the middle.

Thinking about it again, I think I understand why the language designers chose that order. They were trying to make it make it more readable by following the structure of the English language. "<Buy a steak> if <the butchers are open>. Otherwise <get some salmon>".

The problem here is that programmers are more accustomed to the natural and somewhat obvious order that every other programming language follows. They also wouldn't have expected some people to abuse it by nesting it.
by aspenmayer | 2025-07-01 17:54:12+00:00
I was responding to this aspect:

> it bugged me for a long time why a person can't store facts about themselves

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

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

Hypothetically, you could have sent 0.01 to a friend and use the memo field as a poor man's postcard with free postage, provided in-system transactions were free, which they arguably ought to be, but likely never were or would be in actuality.
by Retric | 2025-07-01 17:55:06+00:00
I’m not discarding all costs, I’m looking at the difference in upfront costs.

Suppose I’m paying cash and it’s an extra 2,000$ by my TCO drops by 0.1% over 5 years is that a worthwhile investment? Without knowing what the car costs you can’t tell.

What matters is the difference in cost vs the difference in TCO. You’re buying a car either way.
by hinterlands | 2025-07-01 17:55:21+00:00
> In case you wondered, $1M in cash ($100 bills) weigh approximately 15.4 pounds (about 10 kilograms).

Your answer is incorrect. You asked Claude to calculate $7M, which netted 154 pounds, but you then divided it by 10 instead of 7 to get the weight of $1M.

Further, it's quite irrelevant here, as the display involves $1 banknotes, not $100 bills. The correct answer, without the need for an LLM, is: 1 million bills times one gram = 1 million grams = 1,000 kg = 1 metric ton.
by IncreasePosts | 2025-07-01 17:55:36+00:00
I did something similar, but with a chrome extension. Basically, for every web page, I feed the HTML to a local LLM (well, on a server in my basement). I ask it to consider if the content is likely clickbait or can be summarized without losing too many interesting details, and if so, it adds a little floating icon to the top of the page that I can click on to see the summary instead.

My next plan is to rewrite hyperlinks to provide a summary of the page on hover, or possibly to rewrite the hyperlinks to be more indicative of the content at the end of it(no more complaining about the titles of HN posts...). But, my machine isn't too beefy and I'm not sure how well that will work, or how to prioritize links on the page.
by macangus | 2025-07-01 17:55:37+00:00
Location: Cape Town, South Africa

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I'm a software engineer with a passion for building innovative solutions. Recently, I won Best Knowledge Bot at the Google Cloud Vertex AI Agent Builder Hackathon and received Amazon's Best Blog prize. One of my products also reached #5 Product of the Day on Product Hunt, demonstrating my ability to develop solutions that resonate with users and achieve real market success.

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Show HN: Runik – Turn fan wikis into e-reader dictionaries
by skoutXII | 2025-07-01 17:55:46+00:00
Hey HN!

As a reader of epic fantasy and sci-fi, I often find myself reaching for my phone to look up an obscure side character — or the difference between “Genebackis” and “Genebaris”. So I built runik to bring in-world definitions directly onto my e-reader and stay immersed in the story.

Runik parses the contents of fan wikis into Kobo and Kindle compatible dictionaries. It uses the device’s built-in word lookup feature, so there’s no jailbreaking required and definitions can be used offline.

It’s still in early development and is built with Go (Wails) + Svelte + Dictutil — feedback is appreciated!

Note: Kindle support requires kindlegen, which comes bundled with the Kindle Previewer app (details in the README).

https://runik.app/ https://github.com/Runik-3/core
by klank | 2025-07-01 17:56:03+00:00
People, as a group, trust numbers. Individuals, often, do not.

Pick any industry which revolves around something, I assure you there is a child-industry dedicated to providing the technology and infrastructure to count the things.

Heck, accounting, as a general purpose, applies to every profession, profession, is at its core, focused on counting things.

Hopefully this doesn't come across as argumentative. Your comment caused me to reflect on how you're right, we trust so much when it comes to numbers people tell us. But at the same time, we don't as evidenced by the vast amount of industry we dedicate to counting all that we do, whatever it is.
by datameta | 2025-07-01 17:56:08+00:00
This reads as a kneejerk reaction to the mention of GMO as if the person you responded to has an agenda. I think their point is that we need to be aware of what is natural (aka tested to equilibrium over huge periods of time) and what is artificial (propped up by human practices on the relatively short timescale of centuries and millenia).

It seems the baseline drifts and we could stand to take certain environmental cycles and/or livestock lifecycles for granted as though they exist purely through evolution or untouched ecological processes.
by vira28 | 2025-07-01 17:56:13+00:00
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by dylan604 | 2025-07-01 17:56:36+00:00
> You’re expected to reply as soon as possible.

I am happy to disappoint these expectations. I feel no pressure from it whatsoever. Of course, I'm of the age of default offline, so that has a lot to do with it. Remember coming home to a "machine" to check messages? That was glorious even if it too had a glowing red dot that wanted your attention.

The always on mentality is not worth it and quite tiresome, figuratively and literally. I know it's different for women, but I've met a few that are really into the always on concept where they never leave the house without full war paint because "you never know who you might meet". I'm exhausted just thinking about it.
by CamperBob2 | 2025-07-01 17:56:39+00:00
If you can look at what's happening today, and imagine that code will still be generated the same way in 10-15 years as it is today, then your imagination beats mine.

99.9999% of code is not written with compilers that are "formally verified" as immune to code-generation bugs. It's not likely that any code that you and I run every day is.
by quickthrowman | 2025-07-01 17:56:41+00:00
I spend more time counting things than most people. I use the ‘Count’ tool in Bluebeam Revu (an architecture/construction pdf editor) when doing material takeoffs for construction estimating. You need to do a lot more than just count when doing a takeoff, so there really isn’t much use for a counting specific tool in my industry.

Bluebeam Revu can also do visual counts for specific symbols/images provided the drawings aren’t too busy, that is one use of AI I would like to see (automated takeoffs) so I don’t have to click thousands of light fixture symbols every year. One problem is that construction drawing are 2D and height information isn’t always present so measuring distance and accounting for rise and drop is difficult to automate, I use google maps street view frequently to gather height info (calibration is based off a standard commercial door at 80” x 36” or a CMU at 8” tall) if I don’t visit a site. Due to this and other factors, I think accurate construction estimating will be difficult to automate completely with LLMs, but the process will definitely be sped up by them.
by const_cast | 2025-07-01 17:57:11+00:00
> You don’t need a shopping cart either.

Pretty sure this exact example is explicitly carved out as a-okay.

I think what we're dealing with here is not websites trying to do basic things. Rather, it's every website and their mom thinking they need elaborate analytics to sell plastic garbage.

Yes, that elaborate analytics you spread to 20 third parties IS a privacy concern. We should be looking at that.
by cryzinger | 2025-07-01 17:57:20+00:00
It's also frustrating how, for the targeted anti-inflammatories we do have, there's no real way to know which one will be the most effective for someone other than trying several until you find one that does. More options are always better, but many common autoimmune conditions have approved drugs that target TNF, JAK, and four or five different interleukins... it'd be nice if there was a predictive blood test that showed whether you had abnormally high levels of any of those targets so you didn't have to guess wildly. (And even then, there are at least a few overlapping drugs for each of those targets, but at least "try an IL-17 inhibitor" gives you a smaller pool :P)
by PaulHoule | 2025-07-01 17:57:41+00:00
Frankly it seemed like an idea that made no sense for multiple reasons. For one thing the density of atmospheric oxygen is a fraction of the density of liquid oxygen so it's hard to picture getting enough oxygen in the thing to make a difference. If you're liquifying it you're going to slow your rocket down by bringing O2 as well as 4 times as much N2 on board, then there is the weight of the liquification plant. Investing in Skylon is like investing in cold fusion.

It was bad enough that Richard Branson discredited private orbital spaceflight with the overly long development process for a vehicle that made the Space Shuttle look like a paragon of safety and low costs -- Skylon was so much worse.
by versa_ycombi | 2025-07-01 17:57:57+00:00
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by isodev | 2025-07-01 17:58:00+00:00
> all sorts of people trying to exploit it for money

Because they could. In AI-first web, people can't really do anything about anything - only those in control of training the handful of "big popular AI models" are the gatekeepers of all knowledge.

> with less ads, more genuine information

That's orthogonal to AI. Models are already being trained to favour certain products/services and they already (re)produce factually incorrect information with no way to verify or correct them.
by orliesaurus | 2025-07-01 17:58:13+00:00
There’s a tiny but important difference between scraping and getting work done.

Scraping is associate with mindless extraction. Like a vacuum cleaner sucking-in any data without context, permission, or contributing value back.

On the other hand AI agents aren’t here to scrape for the sake of it - I have seen it first hand. They are here to get work done, mostly researching, summarizing, assisting, building new products. You could argue this data is then use to train further a model, you would probably argue correctly, but that’s a topic for another day.

I implemented the poor man's version demo of what a similar concept to this could be like: http://github.com/toolhouseai/fastlane-demo
by Zenul_Abidin | 2025-07-01 17:58:15+00:00
This is cool but I don't like how this forces all crawlers to use Cloudflare. Google Chrome developers were proposing some Web Monetization API in Chromium a few years back, back when the Manifest V3 drama was still fresh, so maybe we should look into that instead. To allow decentralized payments to not be dependent on a single vendor.
by skadamou | 2025-07-01 17:58:34+00:00
Here are a few of Lewis Lapham's obituaries

Harpers: https://harpers.org/2024/07/remembering-lewis-lapham/ Lapham's Quarterly: https://www.laphamsquarterly.org/roundtable/lewis-h-lapham-1... LitHub: https://lithub.com/on-the-remarkable-legacy-of-lewis-lapham/
by ch_fr | 2025-07-01 17:58:41+00:00
Ed Zitron's writing is inflamatory, but his points are extremely easy to grasp. I always find those reads very therapeutic, as looking at too much genAI discussion can make it seem like I'm the crazy one.

GenAI has all of the media attention in the world, all the capital in the world, and a huge amount of human resources put into it. I think (or at least hope) that this fact isn't controversial to anyone, be they for or against it. We can then ask ourselves if having models that can write an e-shop API really is an acceptable result, when looking at the near-incomprehensible amounts spent into it.

One could say "It has also led to advances in [other field of expertise]", but couldn't a fraction of that money have achieved greater results if invested directly in that field? To build actual specialized tools and structures? That's an unfalsifiable hypothetical, but reading Sam Altman's "Gentle Singularity[1]" blogpost, it seems like wild guesses are a perfectly fair arguing ground.

On a small tangent about "Gentle Singularity", I think it's not fair to scoff at Ed's delivery when Sam Altman also pulls a lot of sneaky tricks when addressing the public:

> being amazed that it can make live-saving medical diagnoses

The classification model that spots tumor has nothing to do with his product category, I find it very dishonest to sandwich this one example between to examples of generative AI.

> A lot more people will be able to create software, and art. But the world wants a lot more of both, and experts will probably still be much better than novices, as long as they embrace the new tools.

"the world wants a lot more of both" doesn't quite justify the flood of slop on every single art-sharing platform. That's like saying the world wants a lot more of communication to hand wave the 10s of spam calls you get each day. "As long as they embrace the new tools" is just parroting the "adapt or die Luddite!" argument. As the CEO of the world's foremost AI company I expect more than the average rage bait comment you'd see on a forum, the fact that it's somehow an "improvement" is taken for granted, even though Sam is talking about fields he's never even dabbled in.

The statement probably doesn't weigh much since my biases are transparent, but I believe there's just so much more intellectual honesty in Ed's arguments than in much of what Sam Altman says.

[1] https://blog.samaltman.com/the-gentle-singularity
by pjmlp | 2025-07-01 17:58:41+00:00
As per Office team, modules are much faster, especially if you also make use of C++ standard library as module, available since C++23.

See VC++ devblogs and CppCon/C++Now talks from the team.

Pre-compiled headers have only worked well on Windows, and OS/2 back in the day.

For whatever reason UNIX compilers never had a great implementation of it.

With exception of clang header maps, which is anyway one of the first approaches to C++ modules.