MurphyA/hacker-news huggingface dataset:
by anal_reactor | 2025-12-14 14:17:20+00:00
People in general don't like being told they're wrong. This means that arguments that challenge status quo get suppressed. Science isn't magically immune to this just because you add a label "it's scientifically proven, bro!". Therefore, a lot of research on controversial topics can be safely discarded simply because people doing the research have lots of reasons to be biased. This is especially relevant in social sciences, because it's a bottomless pit of controversial topics, and has almost zero possibilities of repeating an experiment. Sure, we have 50 years of research proving that children are blank states, but it's important to remember that eugenics were deeply rooted in science too. It's just that different societal attitudes expected scientists to come up with different scientific results, so they did. Think of a society-wide version of corporate-sponsored research centers that are expected to massage the results until they match the desired outcome.

Another thing is that sometimes it might be beneficial to believe something that isn't true. If you knew for a fact that tomorrow 99% of population will suffer extremely painful death then from the point of view of an individual the correct move would be to commit painless suicide, but the survival of humanity relies on everyone believing they'll be all fine. This is obviously a caricatural example, but there are lots of such lies that keep the society going, and "we're all equal" is just one of them.

Personally, I find it extremely difficult to believe that we'd be born equal, because evolution works only if some individuals are better than others, and I strongly believe that evolution is a thing.
by raw_anon_1111 | 2025-12-14 14:17:28+00:00
Of course, because Trump is being very careful to target just enough cities with the national guard that didn’t vote for him and most of his voters in red states don’t travel especially to those cities.

What do you think the percentage of people would be in favor of using the national guard would be if they were deployed to rural America to stop the meth problem or they were deployed to Memphis, Houston, anywhere in Mississippi and Alabama?

Don’t you find it surprising that you don’t have the same type of ICE raids targeting the red border states but you have them targeting blue cities?

Why is Trump going to war with Venezuela instead of Mexico and Colombia where the drugs actually are? It’s all optics and meant not to upset his base.

Right now, for instance he is trying to pay off his “socialism bad” base of farmers - who he never targets with ICE raids - who are hurting because of his tarriffs.
by CPLX | 2025-12-14 14:18:01+00:00
1. This is certainly a real effect that has some effect on relative wages at the margins in some cases.

2. In 2025 if you hear someone talking about it in the context of the US economy you are most likely hearing propaganda, designed to provide a dodge for the real driver of higher costs which is mostly concentrated corporate power, consolidation, and collusion.
Show HN: Skyz AI – Host, Deploy and Use MCP Servers with Ease
by Elemenopi | 2025-12-14 14:18:14+00:00
Hi HN!

I built Skyz AI to solve deployment friction with MCP (Model Context Protocol) servers.

The problem: Setting up MCP servers means configuring infrastructure, managing deployments, and debugging connections. I kept wasting hours on this when I just wanted to build AI tools.

What it does: Simple development One-click MCP server deployment Managed hosting (no infrastructure to maintain)

Why it exists: Existing solutions charge premium prices and have poor UX. I wanted Vercel-level simplicity for MCP hosting.

Current state: Free beta. I'm intentionally launching early to build with feedback from people actually using MCP servers rather than guessing what features matter.

Try it: https://skyz.ai Discord: https://discord.gg/jsT3S98sX9

Happy to answer questions about the technical architecture, MCP challenges, or where this is headed!
by aatricks | 2025-12-14 14:18:29+00:00
I’ve been working on llmedge, a Kotlin-first Android library for running AI models fully on-device. It started as a wrapper around llama.cpp, but grew into a more general toolkit for local inference on mobile.

Today it supports: - LLMs via GGUF models - Image generation and vision models - Speech-to-text and text-to-speech - Streaming inference and Android-friendly memory handling

The focus is on making this usable inside real Android apps. Native engines are wrapped behind a Kotlin API, model downloads avoid the Java heap, and memory usage is constrained based on the device to prevent crashes. The goal isn’t to ship a UI or an app, but to give developers a way to embed local AI features without dealing directly with JNI, NDK builds, or per-model native glue.

Core library: https://github.com/Aatricks/llmedge

Examples: https://github.com/Aatricks/llmedge-examples

Embedded usage example: https://github.com/Aatricks/EasyReader

I’d be interested in feedback from anyone who’s worked on on-device inference, especially around performance trade-offs and memory management on mobile.
by devalexwells | 2025-12-14 14:18:47+00:00
I've also been wanting to make Gleam my primary language (am generally a Typescript dev), and I have not had any issue with using it with LLMs (caveat, I'm obviously still new with it, so might just be ignorant).

In fact, I'd say most of the Gleam code that has been generated has been surprisingly reliable and easy to reason about. I suspect this has to do with the static typing, incredible language tooling, and small surface area of the language.

I literally just copy the docs from https://tour.gleam.run/everything/ into a local MD file and let it run. Packages are also well documented, and Claude has had no issue looping with tests/type checking.

In the past month I've built the following, all primarily with Claude writing the Gleam parts:

- A websocket-first analytics/feature flag platform (Gleam as the backend): https://github.com/devdumpling/beacon

- A realtime holiday celebration app for my team where Gleam manages presence, cursor state, emojis, and guestbook writes (still rough): https://github.com/devdumpling/snowglobe

- A private autobattler game backend built for the web

While it's obviously not as well-trodden as building in typescript or Go or Rust, I've been really happy with the results as someone not super familiar with the BEAM/Erlang.

EDIT: Sorry I don't have demos up for these yet. Wasn't really ready to share them but felt relevant to this thread.
by ktpsns | 2025-12-14 14:18:56+00:00
What's wrong with a big end of day commit? Sure, a well crafted git history can be very valuable. But then comes somebody and decides to just flush your well curated history down the toilet (=delete it and start somewhere else from scratch) and then all the valuable metadata stored in the history is lost.

Maybe consider putting your energy into a good documentation inside the repository. I would love to have more projects with documentations which cover the timeline and ideas during development, instead of having to extract these information from metadata - which is what commit messages are, in the end.
by sloaken | 2025-12-14 14:19:22+00:00
I agree with n3t. What is your goal. Depending on why you want to learn programming would help answer the question. Most of the answer here I agree with. But if your goal is: to teach a little child, or find a job, or bragging rights at the bar, or personal enrichment, or ... it goes on and on.

Also knowing programming / coding / SW development / algorithms, although having a lot of overlap, there are different paths.
by stingraycharles | 2025-12-14 14:20:05+00:00
I don’t understand the point you’re trying to make. LLMs are not humans.

From my perspective, the whole problem with LLMs (at least for writing code) is that it shouldn’t assume anything, follow the instructions faithfully, and ask the user for clarification if there is ambiguity in the request.

I find it extremely annoying when the model pushes back / disagrees, instead of asking for clarification. For this reason, I’m not a big fan of Sonnet 4.5.
by reincoder | 2025-12-14 14:20:25+00:00
I can tell you how we approach enterprise partnerships: absolute accountability. If something is wrong with the data, it is not our customers' fault for trusting us, it is our fault. End users talk to us directly. And because the data is so good these days, we just have to present evidence, that's it.

We with multi-billion-dollar corporations, and for every product integration we maintain an active, visible presence in their user communities.

For example: https://community.cloudflare.com/search?q=ipinfo%20order%3Al...

Customer support teams are encouraged to build support pipelines that either route data-related questions directly to us or send users directly. We remove friction rather than hiding behind layers of enterprise support.

We make a deliberate "account manager for everyone" effort when introducing ourselves to a partner's user community. We engage with influential community members and MVP users and encourage them to contact us directly when issues arise. We also connect with the engineers who work hands-on with our data and make it clear that they have a direct line to our engineering team.

We actively and aggressively monitor social media for reports of issues related to our data within partner platforms and engage with users directly when something comes up.

To be honest, this is not difficult. Once or twice a month, we may need to present evidence to a user to explain our data decision.

This is not a paid add-on or a special clause in an enterprise contract. Our customers do not pay extra for this level of engagement.

Developers hold us in high regard. Maintaining that trust requires ongoing investment of time and resources. We fundamentally believe developers trust us because of the quality of the product and the lengths we go to provide clear, honest explanations when questions arise.
by DeepSeaTortoise | 2025-12-14 14:20:32+00:00
Wearing a mask in public while wearing your unique style of clothing, BUT you may be able to exit your apartment building through the service entrance if your landlord is into spelunking and replaced the front door with a nutty putty cave imitation.

I cannot overstate how much of a pain it was to share 51Gbps of peering with 40M other homes and 60M mobile customers. Luckily they now have made generous upgrades, shoving an additional 15M to 20M customers through a whopping 371Gbps.

Unless of course the network your traffic is headed to has deep, widely open and sufficiently climatized pockets.
by z_ | 2025-12-14 14:21:09+00:00
This is a thought provoking piece.

“But at what cost?”

We’ve all accepted calculators into our lives as being faster and correct when utilized correctly (Minus Intel tomfoolery), but we emphasize the need to know how to do the math in educational settings.

Any post education adult will confirm when confronted with an irregular math problem (or a skill) that there is a wait time to revive the ability.

Programming automation having the potential skill decay AND being critical path is … worth thinking about.
by Norl-Seria | 2025-12-14 14:21:15+00:00
Hello, honest people. To get straight to the point... I have decided to cease all activity here completely. There will be no further posts, ever. Therefore, confirming what might come next is no longer necessary. I've left this note here to ensure no resources are wasted. Well, I expect that Japanese official agencies will likely visit this place via a certain channel. With that, good night.
by thunky | 2025-12-14 14:21:31+00:00
How do you expect this boost will appear?

People start announcing that they're using AI to do their job for them? Devs put "AI generated" banners all over their apps? No, because people are incentivised to hide their use of AI.

Businesses, on the other hand, announce headcount reductions due to AI and of course nobody believes them.

If you're talking about normal people using AI to build apps those apps are all over the place, but I'm not sure how you would expect to find them unless you're looking. It's not like we really need that many new apps right now, AI or not.
by websiteapi | 2025-12-14 14:22:56+00:00
indeed - my main use case is those kind of "record everything" sort of setups. I'm not even super privacy conscious per se but it just feels too weird to send literally everything I'm saying all of the time to the cloud.

luckily for now whisper doesn't require too much compute, bu the kind of interesting analysis I'd want would require at least a 1B parameter model, maybe 100B or 1T.
by nuancebydefault | 2025-12-14 14:23:01+00:00
The article discusses basically 2 new problems with using agentic AI:

- When one of the agents does something wrong, a human operator needs to be able to intervene quickly and needs to provide the agent with expert instructions. However since experts do not execute the bare tasks anymore, they forget parts of their expertise quickly. This means the experts need constant training, hence they will have little time left to oversee the agent's work.

- Experts must become managers of agentic systems, a role which they are not familiar with, hence they are not feeling at home in their job. This problem is harder to be determined as a problem by people managers (of the experts) since they don't experience that problem often first hand.

Indeed the irony is that AI provides efficiency gains, which as they become more widely adopted, become more problematic because they outfit the necessary human in the loop.

I think this all means that automation is not taking away everyone's job, as it makes things more complicated and hence humans can still compete.
by johndoe0815 | 2025-12-14 14:23:27+00:00
First - a new, lightweight PDF viewer for macOS is highly welcome, since Preview.app has turned into a slow, buggy mess. So thanks a lot for working on this!

However, the whole download experience for PageFlow is more than discouraging with the gumroad forms that include a suggested price and tip fields instead of directly offering the download.

Also, you advertise the application as being open source with no single link provided. Is the source available somewhere already?
by rdgthree | 2025-12-14 14:23:58+00:00
If you're interested in my personal chain-of-thought on the subject:

This was where I started pulling this thread (October 2025): https://1393.xyz/writing/could-the-root-cause-of-alzheimers-...

And this is an even further ancestor of the ideas (December 2023): https://1393.xyz/writing/are-we-only-conscious-while-were-le...

I'm operating off of my own subjective experience, and this idea lines up tightly with System 1 and System 2 in cognitive psychology.

It seems that many jump to "AI psychosis" when one mentions magnetic fields, but the evolutionary tree is very straightforward:

1. Nature evolves magnetoreception for navigation

2. Eventually, a brain in nature with magnetoreception accidentally "hears" its own magnetic field with with resonance

3. That lossy global summary of the brains ends up being an evolutionarily advantageous "higher-order sense"

4. Evolution sharpens the blade for many years

On first principles, that seems perfectly viable and even likely given that magnetoreception was such a boon for survival for all life.

Just glad others are finding it interesting!
by pjmlp | 2025-12-14 14:25:10+00:00
Eclipse is pretty much alive in many Fortune 500, too cheap to pay for InteliJ licenses.

Also Netbeans is my favourite Java editor for hobby coding at home.

The history of IDE market is also about the IDEs that come from OS vendors, and are a much have to target their platforms, at least for those that don't enjoy to yak shaving their favourite tools into the official development workflows from said platforms.

There JetBrains already has scored big time, getting into bed with Google for Android Studio and Kotlin, so much that it wouldn't surprise me if some day Google acquires JetBrains.
by rudasn | 2025-12-14 14:25:13+00:00
There was a stackoverflow question (IIRC) long ago on how to disable a mobile phone's camera shutter sound, and the answer was to record the sound, inverse it and play it when the camera is activated so that the two sounds cancel each other out. Not sure if it worked though, or if it helps in your case, as precise timing is needed for this to work.
by infinet | 2025-12-14 14:25:45+00:00
I am interested in unit cost for mass production. It needs to be significantly cheaper than an old style top-loading washing machine to be affordable. The design of old style washing machine is mature and priced at around $100 for 8kg model. I suspect it can be stripped down further, remove water pump, remove program controlled inlet valve et al. to reduce the cost to below $50. Granted, washing machine like that needs electricity, but solar panel may be cheap enough.

One more thing, the water is not always easy to get in poor places. It is often much easier to carry laundry to a well, creak, or river than transport water to home. The path to the water sources may be a narrow trail often going up and down hills, so even with wheels on the machine, it is impractical to drag the machine to the water.
by grahamnorton39 | 2025-12-14 14:25:48+00:00
While hollow, it is also bad (and absurd) enough to be quite entertaining. It’s from an era where this wasn’t far off the state of the art for coming up with machine-generated text—context that makes it quite a bit funnier than if it were generated by an LLM today.

That said, it’s obviously not to everyone’s tastes!
by sigwinch | 2025-12-14 14:26:11+00:00
I think it’s worth going into a particular detail: Pete Hegseth and operational security. The test is a pass-fail based on a variable number of risk assessments. It is possible to take the test without knowing that. Sometimes, noise allows a lucky pass.

The question is: how does each member of that Signal group think they’ll do on a re-test? The investigation in the aftermath shows that the higher-ranked ones thought they’d do better and the lower-ranked ones realized the incompetence of their superiors. To me, it doesn’t get more Dunning-Kruger than that.
by srean | 2025-12-14 14:26:49+00:00
You wouldn't imagine ...

I have seen API calls you people wouldn’t believe.

Requests hanging off the edge of the load balancer, Ethernet tubes glittering in the dark.

Latency logs reporting some API calls that took longer than the age of the universe.

Their means and percentiles burning on the shoulders of weekly reports.

Plot points dying at the edge of y axis

... like tears in the rain.
by lifeformed | 2025-12-14 14:28:02+00:00
I skimmed your comment since you were making the strange comparison that modern coding is basically probabilistic to a degree that prompting is, so I see now you weren't the one to say it's "probabilistic programming". But you are still trying to say that normal programming is basically probabilistic in some relevant way, which I think is quite ridiculous. I don't see how anything about normal engineering is probabilistic other than mistakes people make.
by pjmlp | 2025-12-14 14:28:02+00:00
As if.

InteliJ only recently acquired the capability to use Clion plugins for JNI development, something that Eclipse and Netbeans have been capable of for the last 20 years, more or less.

They still don't have an incremental Java compiler, yeah you can use the one from Eclipse, so there is yet another thing that it doesn't do better.

Finally, what is with all that indexing after all these years?
by Etheryte | 2025-12-14 14:28:34+00:00
The approach the attacker took makes little sense to me, perhaps someone else has an explanation for it? At first they monitored what's going on and then silently exfiltrated credentials and private repos. Makes sense so far. But then why make so much noise with trying to force push repositories? It's Git, surely there's a clone of nearly everything on most dev machines etc.
by decasia | 2025-12-14 14:30:16+00:00
Strongly agreeing with this comment…

I realized early on in my enterprise software job that if I produce code faster than average for my team, it will just get stuck in the rest of our review and QA processes; it doesn’t get released any faster.

It feels like LLM code gen can exacerbate and generalize this effect (especially when people send mediocre LLM code gen for review which then makes the reviews become painful).
by jorvi | 2025-12-14 14:30:36+00:00
Jon Krakauer pointed something similar out in relation to the native people around Everest attaining a higher quality of life (and thus more Western lifestyle) as more and more commercial Everest expeditions started happening.

Climbing tourists would be complaining that the local culture was being destroyed and that the huts they would visit would have the local kids be wearing, say, a fashion shirt and the huts themselves had amenities like a heater instead of burning dung for heat.

Basically, wealthy climber tourists wanted these people to live in stasis in a lifestyle of poverty just so the atmosphere of quaint mountain life was maintained for them. Almost like an open-air museum.
by hermanzegerman | 2025-12-14 14:30:44+00:00
Why would they use it internally?

Internally, you have the Hospital Information System where you can look up all the informations you need.

I can just say I know the inside of one of Germany's biggest Hospitals, since I'm a Doctor. And requesting Patient Data or giving it out to other Parties is unfortunately a Task that Doctors still have to do on their own

And for communication with the outside world it's down to Fax, Phone or Letter.

And that will be replaced with KIM in the future
by 9rx | 2025-12-14 14:30:53+00:00
I was under the impression that in recent times unions had been mostly disbanded, with any remaining being in government that can't fail like a business can. You might have a fair point that we've started seeing a return of them in the last few years (article being an example of such), but it seems much too soon to see them rise up to have the power spoken of in this thread. That only happens as the union becomes more and more comfortable pushing back.

Am I misinformed — that unions have actually been popular in the private sector over the past long while in order to trigger what you speak of recently?
by fortran77 | 2025-12-14 14:31:06+00:00
Steve Jobs once came to speak at my company when he was running NeXT. Almost nobody came to the talk, in the company cafeteria. The CEO of our company had to make an announcement on the PA encouraging folks to come. Finally, about 20 people (out of ~750) showed up.

He started talking aobut Objective-C and how it was 10x more productive than other programming languages and how easy it is to write good applications quickly with it. Someone shouted out the question: "If it's so easy and fast to write applications, where are all the NeXT killer apps?" There was no good answer....
by II2II | 2025-12-14 14:31:07+00:00
I'm currently playing a game that is a blatent rip-off of Stardew Valley to the point where I frequently question why they were so obvious. (Or maybe those elements are rip-offs of Harvest Moon, I haven't played Harvest Moon to know.) Still, it's enjoyable. The design elements and places where it does diverge from Stardew Valley make it more enjoyable in my opinion.

As the saying goes, "good artists borrow, great artists steal."
by api | 2025-12-14 14:32:58+00:00
Lol. Rapid “code gen” can slow down the process. Some of the best programmers have negative productivity when joining existing projects if you measure it by lines of code added.

Simplicity is harder than complexity. I want to tattoo this on my forehead.

Huge amounts of poor quality code is technical debt. Before LLMs you frequently saw it from offshore lowest bidder operations or teams of very junior devs with no grey beards involved.