MurphyA/hacker-news huggingface dataset:
by dragonwriter | 2025-12-09 22:38:27+00:00
> There wasn't any German internment

There was, in fact, but the proportion of German (and Italian, also) nationals and citizens of German (and Italian) descent interned was far lower compared to the population of such foreign nationals and citizens than was the case for Japanese nationals and citizens of Japanese descent.

> White people got a pass.

Relatively speaking, yes, but there still were internments, including of US citizens based on German and Italian descent. (But with more individualized review before internment or eviction from coastal areas than was true of citizens of Japanese descent.)
by undershirt | 2025-12-09 22:38:33+00:00
> mortality is fundamentally ingrained in not just the human condition, but the fabric of our universe

church fathers say that creation fell because of the fall of man

> Without the finality of death, life seems to lose its meaning. Not only do we need to die, we are compelled to die, we should die

deadlines help. the soul is eternal and there is a deadline for the body

> [Job] somehow reconciles this tragic finality with transcendent faith

he later falls into despair when things get worse, who wouldn’t, but he is made well after he is humbled. this golden moment of humility forges him into a true person, winning him heaven not death

“If you die before you die, then when you die you won’t die.“ Death to the world is the last true rebellion.[1]

[1]: https://deathtotheworld.com
by gregors | 2025-12-09 22:38:40+00:00
25Gb has been available in Chattanooga for a few years already

https://epb.com/newsroom/epb-news/epb-launches-speedy-25gb-s...

https://epb.com/fi-speed-internet/?#choose-your-plan

It's not cheap though. Curious what the price point of google's service.
by platevoltage | 2025-12-09 22:38:53+00:00
AI isn't a gimmick, but a huge portion of the way it's presented to consumers is, especially given the fact that it never really was meant for consumers. As an Apple user, I'm thrilled at how "behind" they are.

But also, their tendency to "not fall from gimmicks" sometimes makes it so we didn't get a 2nd mouse button for decades. Ultimately, the way they implemented this was super cool, but still.
by austhrow743 | 2025-12-09 22:38:56+00:00
The reasons for high housing prices generally come down to "government restriction of supply, as supported by a large amount of voters".

There's no other expense where we talk about it as a market, at least in general layman focused new and discussions. People aren't concerned about the fuel market or the grocery market. They're concerned about fuel prices. Grocery prices.

Housing is an exception due to catastrophic historical policy choices to encourage it as an investment. Government restrictions on housing supply will exist for as long as a significant number of people not only have their net worth wrapped up in housing, but who actually leverage themselves and go in to extreme debt to achieve it. Not to mention the attached cultural issues of then wanting "buying a house" to mean "buying an area staying the same".

Concentration of residential real estate among fewer owners is the only path that doesn't lead to the future being housing based feudalism where your station in life is determined by if you inherited somewhere to live, and how desirable it is.
by mmooss | 2025-12-09 22:39:33+00:00
Another amazing success born at Mozilla:

"The Let's Encrypt project was started in 2012 by two Mozilla employees, Josh Aas and Eric Rescorla, together with Peter Eckersley at the Electronic Frontier Foundation and J. Alex Halderman at the University of Michigan."

https://en.wikipedia.org/wiki/Let%27s_Encrypt

What was Mozilla's role, beyond conception? Parenting? Care and feeding? A roof?
by ece | 2025-12-09 22:39:55+00:00
There were uses for DGPUs in MacOS before AS, those uses could have continued, but Apple left no choice. It's weird how continuity wasn't as important to Apple in this case.

Whatever kernel or hardware facilities are available to Apple's own GPU driver, should be available to other GPU drivers. Anything else is myopic thinking, which I realize might be common for Apple, but it is also monopolistic.

Linux also allows userspace drivers with less performance I think, but I don't think DGPU use can be made performant because of AS hardware choices.

I am predisposed to ignoring link requests for things that can be easily googled.
by hivetechs | 2025-12-09 22:39:57+00:00
What's great about OpenRouter is you have access to all providers and models and they do the work of standardizing the interface. Our new HiveTechs Consensus IDE configures 8 profiles for you and your AI conversations, each using its own LLM from OpenRouter and unlimited custom profiles, you pick the providers and LLM's from a list and name the profile. Also, we have our own built in HiveTechs CLI that gives you the ability to use any LLM from OpenRouter, updated daily. So the moment a new model drops, you can test it out without waiting for it to release in your other favorite apps.
by drob | 2025-12-09 22:39:57+00:00
Other auth providers for sure. We'll be adding shortly.

Using an alternate auth provider won't even prevent you from scanning non-public GitHub code. There's a GitHub OAuth App just for auth (which is what you're seeing here), and a separate GitHub App that you need to install either way to give Detail access to the right repos. We can swap out the former for Google/Okta/pw if you want to avoid this warning. GitHub Apps (the half that manages repo access) have a much finer grained permissions model.
by billisonline | 2025-12-09 22:40:35+00:00
"Tons of power generation?" Perhaps we will go in that direction (as OpenAI projects), but it assumes the juice will be worth the squeeze, i.e., that scaling laws requiring much more power for LLM training and/or inference will deliver a qualitatively better product before they run out. The failure of GPT 4.5, while not a definitive end to scaling, was a pretty discouraging sign.
Ask HN: How can someone handle inbound emails with threading in simple way?
by hamzaawan | 2025-12-09 22:41:05+00:00
Lately I have been building something, and sending transactional emails via api is easy with resend and couple of other services. But receiving been pretty difficult for me when I want to thread the replies easily and quickly?

My use case is that from web based email client we have to send transactional emails and users can reply to it and I need a way to receive them and thread them properly in my db like have proper relations between parents and children. I know with ses we can do that but I want a simple way for it.

did you guys find any service good for this? that can receive and thread emails or help me thread email responses pretty easily and in simple way.
by Aloisius | 2025-12-09 22:41:33+00:00
He said:

> I call it a "bullshit generator" because it generates output "with indifference to the truth".

And if we follow the link we find he's referring to LLMs:

> “Bullshit generators” is a suitable term for large language models (“LLMs”) such as ChatGPT, that generate smooth-sounding verbiage that appears to assert things about the world, without understanding that verbiage semantically. This conclusion has received support from the paper titled ChatGPT is bullshit by Hicks et al. (2024).

No one thinks the database, orchestration, tool, etc. portions of ChatGPT are intelligent and frankly, I don't think anyone is confused by using LLM as shorthand not just for the trained model, but also all the support tools around it.
Show HN: Parent-child activity to help kids spot clickbaits and doom-content
by petarsubotic | 2025-12-09 22:41:54+00:00
I built a small web based activity to help kids (7–10 years old) develop a basic sense of “digital immunity” the skill of recognizing when a headline is neutral versus when it’s written to manipulate attention. Kids get a short description of an event, then choose which headline most accurately reflects what happened. After each choice parents can talk with them about why some headlines feel more dramatic or sensational.

Demo: https://submerge.rs/news

My goal was to make the first step of media-literacy training lightweight, practical, and something parents can actually do with kids without needing prep or prior expertise. I’d appreciate any feedback on:

- does it flow nicely - is stated goal clear and achieved - content types - UI/UX or accessibility issues you notice

Thanks for taking a look.
by hackernews_7364 | 2025-12-09 22:41:55+00:00
There are many legitimate concerns about the financial implications of these huge investments in AI. In fact the podcast that he references is great at providing _informed_ and _nuanced_ observations about all of this - Paul Kedrosky is great.

BUT (my point)

Is that the article is terrible at reflecting all of that and makes wrong and misleading comments about it.

The idea that companies depreciating assets is them "pretending they haven't spent the money" or that "management gets to pick your depreciation period" is simply wrong.

Do you think any of those two statements are accurate?

P.S. Maybe you make a good point, I said that I suspected based on those statements that he had little financial knowledge. tbh I didn't know the author, hence the "suspect". But now that you say that it might be that he is so biased in this particular topic that he can't make a fair representation of his point. Irrespective of that, I will say it again: statements like the ones I've commented are absurd.
by stusmall | 2025-12-09 22:42:03+00:00
I've been running local models on an AMD 7800 XT with ollama-rocm. I've had zero technical issues. It's really just the usefulness of a model with only 16GB vram + 64GB of main RAM is questionable, but that isn't an AMD specific issue. It was a similar experience running locally with an nvidia card.
by dangus | 2025-12-09 22:42:12+00:00
I know you're saying that Apple's business model is selling devices but it's not like they aren't a services juggernaut.

Where I think you are ultimately correct is that some companies seem to just assume that 100% of interactions can be monetized, and they really can't.

You need to deliver value that matches the money paid or the ad viewed.

I think Apple has generally been decent at recognizing the overall sustainability of certain business models. They've been around long enough to know that most loss-leading businesses never work out. If you can't make a profit from day one what's the point of being in business?
Show HN: An Incident Intelligence Layer that learns from real oncall work
by mpingu | 2025-12-09 22:42:20+00:00
I’ve worked in operations and SRE for years, mostly in environments where outages, oncall fatigue and recurring incidents were normal. Like many here, I’ve been through the 3 AM pages, the tribal knowledge, the fixes that disappear in scrolling Slack threads, and the runbooks nobody touches until it’s too late.

I also live with Type-1 diabetes. That forces me to run extremely disciplined systems in my personal life: continuous monitoring, feedback loops, automated corrections, stability under stress. It shaped how I think about infrastructure in an unexpected way.

I have oncall in my blood literally. My blood sugar is basically a live monitoring system.

And that made me notice something strange about current observability stacks:

We measure everything except the one thing that actually resolves incidents: the human problem-solving process.

Every outage generates knowledge, but most of it evaporates: - shell history disappears - Slack conversations drift away - senior engineers fix silently - runbooks rot - context is lost - the same incident happens again and is solved again

So I’m exploring a new layer for the SRE stack: an Incident Intelligence Layer.

High-level idea (no deep tech here):

- troubleshooting sessions become structured, anonymous traces - each incident type gets a shared knowledge feed - engineers upvote or downvote solutions - a local LLM summarizes recurring patterns - a sanitized layer allows safe use of a public LLM - repeated successful solutions gradually become recommended actions or potential automation candidates

The goal is simple: every outage should make the system smarter, not just the engineer who fixed it.

I’m working on an early MVC: - a minimal session recorder that emits structured JSON - basic incident-type feeds - voting - a first pass of local LLM summarization

Not a full product. Just exploring the space and validating whether others see the same gap.

Would love to talk with people who: - work in SRE or oncall - build observability or internal tooling - have tried to reduce repeated incidents - think about AI-assisted remediation - or have built infra startups before

If this resonates, feel free to DM me here on HN. Happy to share more privately.
by smurda | 2025-12-09 22:42:58+00:00
I loved the visualization of EV certs in browsers, but in 2014 vendors like GoDaddy charged $100/yr for them. https://web.archive.org/web/20131023033903/http://www.godadd...

I'm glad LE, browsers, and others like Cloudflare brought this cost to $0. Eliminating this unnecessary cost is good for the internet.
by librasteve | 2025-12-09 22:43:01+00:00
haha - took me a while to figure out that's Mauro Bonomi's signature

iirc the 3167 was a single clocked, full barrel shift mac pipeline with a bunch (64?) of registers, so the FPU could be driven with a RISC-style opcode on every address bus clock (given the right driver on the CPU) ... the core registers were enough to run inner loops (think LINPACK) very fast with some housekeeping on context switch of course

this window sat between full PCB minicomputer FPUs made from TTL and the decoupling of microcomputer internal clocks & cache from address bus rates ...

Weitek tried to convert their FPU base into an integrated FPU/CPU play during the RISC wars, but lost
by jfindper | 2025-12-09 22:43:19+00:00
>About 70% of hospital deaths are due to preventable mistakes in the hospital.

It's awful that you had a bad experience, but no. Nowhere near 70% of hospital deaths are from preventable mistakes.

I would also note that in your experience, you ended up trusting a different doctor (ophthalmologist), not ChatGPT. Second opinions from other qualified professionals is a thumbs up from me.
by vablings | 2025-12-09 22:44:27+00:00
> Apple watch

Bit like marmite, some people love it some people hate it, my wife did not like hers so she got a new gpu instead.

> Airpods

I have used airpods almost every day since they came out including the 1st gen, the pros and the usb-c pros. I will continue to buy them as they are first class experience on iOS

> homepod

didn't even know this existed lol

> ipad

This one is a bit difficult for me. When I was in school I did two years of work using just an IPad, some text books and my Apple Pencil, all my notes were taken on notability and synced with my google cloud AND my iCloud. Any homeworks I could request a PDF copy and fill out easily and submit via email. Now as a software engineer i really really really really wish that you could program on the IPad (Swift does NOT count) and it was more like a slightly smaller mac, it would crush the laptop market to shreds and nobody would buy a macbook air anymore if that was the case
by nobody9999 | 2025-12-09 22:44:39+00:00
>Would your prompt have been identical and produced identical results, today, tomorrow, which version of AI would you have used, were there bugs present that made the post or comment interesting that would have been absent in your response because the bug had been fixed already?

Why is that relevant to GP's point?

I can't speak for anyone else, but I come to HN to discuss stuff with other humans. If I wanted an LLM's (it's not AI, it's a predictive text algorithm) regurgitations, I can generate those myself and don't need "helpful" HNers to do it for me unasked.

When I come here I want to have a discussion with other sentient beings, not the gestalt of training data regurgitated by a bot.

Perhaps that makes me old-fashioned and/or bigoted against interacting with large language models, but that's what I want.

In discussion, I want to know what other sentient beings think, not an aggregation of text tokens based on their probability of being used in a particular sequence determined by the data fed to model.

The former can (but may well not be) a creative, intellectual act by a sentient being. The latter will never be so, as it's an aggregation of existing data/information as a sequence of tokens cobbled together based on the frequency with which such tokens are used in a particular order in the model's corpus.

That's not to say that LLM are useless. They are not. But their place is not in "curious conversation," IMNSHO.
by bionsystem | 2025-12-09 22:44:45+00:00
> It would be great for the browser become the cross-platform application target.

This is the kind of thing that I feel is very nice and terrible at the same time. Yes it is convenient but it is also such a complex piece of software, it's sad that it is required to run gui apps. Ok, it may not be required yet per say, but I have mixed feelings about this direction.
by Kim_Bruning | 2025-12-09 22:44:50+00:00
You could instead ask Kimi K2 to demolish your point instead, and you may have to hold it back from insulting your mom in the ps.

Generally if your point holds up under polishing under Kimi pressure, by all means post it on HN, I'd say.

Other LLMs do tend to be more gentle with you, but if you ask them to be critical or to steelman the opposing view, they can be powerful tools for actually understanding where someone else is coming from.

Try this: Ask an LLM to read the view of the person you're answering to, and ask it steelman their arguments. Now think to see if your point is still defensible, or what kinds of sources or data you'd need to bolster it.
by keeda | 2025-12-09 22:45:28+00:00
> - Most devs who say AI speeds them up assert numbers much higher than what those studies have shown.

I am not sure how much is just programmers saying "10x" because that is the meme, but if at all realistic numbers are mentioned, I see people claiming 20 - 50%, which lines up with the studies above. E.g. https://news.ycombinator.com/item?id=45800710 and https://news.ycombinator.com/item?id=46197037

> - Prior to LLMs, it was near universally accepted wisdom that you couldn't really measure developer productivity directly.

Absolutely, and all the largest studies I've looked at mention this clearly and explain how they try to address it.

> Review is imperfect, and LLMs produce worse code on average than human developers.

Wait, I'm not sure that can be asserted at all. Anecdotally not my experience, and the largest study in the link above explicitly discuss it and find that proxies for quality (like approval rates) indicate more improvement than a decline. The Stanford video accounts for code churn (possibly due to fixing AI-created mistakes) and still finds a clear productivity boost.

My current hypothesis, based on the DORA and DX 2025 reports, is that quality is largely a function of your quality control processes (tests, CI/CD etc.)

That said, I would be very interested in studies you found interesting. I'm always looking for more empirical evidence!
by dangus | 2025-12-09 22:45:38+00:00
You're being combative, but it's true. Yes, a new low-effort refresh came out recently. But the product is really going nowhere.

Apple's next Vision product is almost certainly going to be more of a Meta glasses clone leaning more into Apple's fashion pedigree where they've had massive success with the Apple Watch.

But even then, eyewear has the limitation that not everyone is interested in wearing eyewear at all.
by clusterhacks | 2025-12-09 22:46:12+00:00
I ran ollama first because it was easy, but now download source and build llama.cpp on the machine. I don't bother saving a file system between runs on the rented machine, I build llama.cpp every time I start up.

I am usually just running gpt-oss-120b or one of the qwen models. Sometimes gemma? These are mostly "medium" sized in terms of memory requirements - I'm usually trying unquantized models that will easily run on an single 80-ish gb gpu because those are cheap.

I tend to spend $10-$20 a week. But I am almost always prototyping or testing an idea for a specific project that doesn't require me to run 8 hrs/day. I don't use the paid APIs for several reasons but cost-effectiveness is not one of those reasons.
by bravetraveler | 2025-12-09 22:46:38+00:00
Oh, no. Does this policing job pay well? /s Seriously: less is more, trust the process, any number of platitudes work here. Who are you defending against? Readers, right? You wrote your thing, defended it with more of the thing. It'll permeate. Or it won't. Does it matter?

You could be done, nothing is making you defend this (sorry) asinine benchmark across the internet. Not trying to (m|y)uck your yum, or whatever.

Remember, I did say linking for convenience is fine. We're belaboring the worst reading in comments. Inconsequential, unnecessary heartburn. Link the blog posts together and call it good enough.
by Garlef | 2025-12-09 22:46:59+00:00
Depends a bit on where your agent runs and how/if you built it.

I'm not arguing if one or the other is better but I think the distinction is the following:

If an agent understands MCP, you can just give it the MCP server: It will get the instructions from there.

Tool-Calling happens at the level of calling an LLM with a prompt. You need to include the tool into the call before that.

So you have two extremes:

- You build your own agent (or LLM-based workflow, depending on what you want to call it) and you know what tools to use at each step and build the tool definitions into your workflow code.

- You have a generic agent (most likely a loop with some built-in-tools) that can also work with MCP and you just give it a list of servers. It will get the definitions at time of execution.

This also gives MCP maintainers/providers the ability/power/(or attack surface) to alter the capabilities without you.

Of course you could also imagine some middle ground solution (TCDCP - tool calling definition context protocol, lol) that serves as a plugin-system more at the tool-calling level.

But I think MCP has some use cases. Depending on your development budget it might make sense to use tool-calling.

I think one general development pattern could be:

- Start with an expensive generic agent that gets MCP access.

- Later (if you're a big company) streamline this into specific tool-calling workflows with probably task-specific fine-tuning to reduce cost and increase control (Later = more knowledge about your use case)
by FistfulOfHaws | 2025-12-09 22:48:05+00:00
This is super fun! I tried something similar a few months ago using: https://websim.com/

Had it do HN main feed, HN jobs and Product Hunt. It didn’t follow consistent styling but did generate articles and comments for each post. Some screenshots are in this post: https://world.hey.com/haws/the-ai-time-machine-7833669d
by Jensson | 2025-12-09 22:49:59+00:00
> Over the millennia many fathers secretly taught their little princesses to read and write. But apparently none of them wanted to upset the status quo.

Apparently many of them did want to upset the status quo, or we wouldn't have the situation we are in now. Men gave women their rights and powers, without men deciding that nothing would change. Women pleaded men to make this change, but it was ultimately men who decided to give women these rights and that it is the right thing to do.
by kristianp | 2025-12-09 22:50:11+00:00
I'd be more worried that a replacement product wouldn't be available after 2 years of use. 2 years seems quite good for a small product.

As a tangential question, how do people find the new pebbles? I prefer a smartwatch that lasts more than a couple of days between charges. And want one with a screen that stays on. The Fitbit Charge 3 I had never detected raising my arm.