MurphyA/hacker-news huggingface dataset:
by morkalork | 2025-12-28 11:11:43+00:00
The dotfile example pertinent, I can't be arsed to remember the syntax for every little thing that I don't interact with on a daily basis. Bash scripts, build tool chains, infrastructure code, all that tertiary stuff. While it isn't a huge number, the amount of time saved not having to google and relearn something every time I want to make a change adds up over time.

Of course this is undone by all the AI slop my boss passes by us now.
by svara | 2025-12-28 11:12:11+00:00
It seems to differ extremely by account or region?

I have to say AI summaries work pretty well for me on Google and my overall subjective sense is the results have been getting better the past 1-2 years.

Here's what I get for your exact search and it looks pretty reasonable?

https://postimg.cc/6y8p3XH7
by Ekaros | 2025-12-28 11:13:10+00:00
Manual curation would be waste of time. Why should I spend hours looking through slop when I can get algorithm do it reasonably well.

Youtube actually works reasonably well, as long as you remove from history content you disliked, use do not recommend channel and possibly not interested option. It might not be highest of quality, but at least content stream then is passable.
by aragilar | 2025-12-28 11:14:22+00:00
I'd be curious as to seeing what these circular dependencies you're seeing are (not saying I don't believe you, and I do recall in the early days of conda it doing some dumb stuff, but that particular issue seems odd)?

As for why conda: wheels do not have post-installation hooks (which given the issues with npm, I'm certainly a fan of), and while for most packages this isn't an issue, I've encountered enough packages where sadly they are required (for integration purposes), and the PyPI packages are subtlety broken on install without them. Additionally, conda (especially Anaconda Inc's commercial repositories) have significantly more optimised builds (not as good as the custom build well-run clusters provide, but better than PyPI-provided ones). I personally do not use conda (because I tend to want to test/modify/patch/upstream packages lower down the chain and test with higher up packages), but for novices (especially novices on Windows), conda for all its faults is the best option for those in the "data science" ecosystem.
by donkeybeer | 2025-12-28 11:15:09+00:00
But why do they claim god has powers over man if he needs mans hand to execute it? Cash or governments don't claim to be some all powerful fundamental truth of the universe. Nobody ever said that. Why do we infantilize and accept such utter absurdity from religious people? And what's funnier is most religions hate "LGBT" because its made up....how is it more made up than their beliefs? At least gender is a real thing that we can see, and one day in theory the body could be modified to truly change gender. Religion hasn't even, in principle given us any reason or explanation for their absurdities yet violently push back on anyone saying doubts.
Ask HN: How to Transform to Agentic Coding?
by miohtama | 2025-12-28 11:15:31+00:00
I'd like to shift our development workflow to an agentic approach, enabling us to use LLM models more efficiently in actual software development. We are a team of very senior experts in a Python-heavy niche industry. Currently, our adoption level is low. We are stuck asking for snippets and help, and have not managed to get agents to build larger modules beyond disposable scripts. When asked to do anything more serious, agents usually mess up the results, and it is just faster to write it by hand.

Because the agentic domain is so new, and most tutorials out there already seem outdated, I'd like to ask experts on the leading forum: what would be a good starting point for converting codebases into a format that agents can work on?

This includes

- Set up for the large codebase needed: where to put files, what hooks to install

- What tools to utilise (as in CLI/SaaS) to boost the intelligence of agents to a meaningful level

- Strengths and weaknesses of different models, and how to pick a model

- What kind of instructions to write, where and in what format

- How to set up the "loop" where the agent can work independently for longer periods of time

- How to utilise multiple agents
Show HN: I Made a Tool for Employers
by kevinbaur | 2025-12-28 11:16:42+00:00
When someone leaves, companies think they lose a person. In reality, they lose context, decisions, shortcuts, and half-documented knowledge that no one notices until things break.
I built SkillPass after watching the same pattern repeat: “handover docs” that look fine but don’t answer the questions successors actually have.

SkillPass runs a single, guided session with the departing employee and turns their implicit, role-specific knowledge into a structured handover report, without meetings, training, or setup.

Free first handover, GDPR-compliant, no tracking, and nothing is used to train AI.
by kevinbaur | 2025-12-28 11:16:58+00:00
Hey, I am Kevin the founder of SkillPass.
When I changed roles a few months ago I noticed something interesting. My successor onboarded in a fraction of the time it took me, simply because I was still around to explain everything. But during that offboarding I also realised how hard it actually is to pass on knowledge. I kept thinking, “Where do I even start?” and I was constantly afraid of forgetting important details. That is exactly what I wanted SkillPass to fix. A tool that gives people a clear thread to follow and asks the right questions so they do not have to figure everything out on their own.

Happy to answer any question! Kevin
by ezst | 2025-12-28 11:17:28+00:00
I agree with you, and with GP for that matter, I think this is both human nature AND we've been conditioned by algorithms to seek and produce this style of communication. I'm really hopeful we can eventually grow out of this.

I feel terrible for the kids currently growing up with tiktok, Instagram & al., I only hope we will build the social and legal framework to safeguard the next generations from this, until they reach a certain age at least.
by frm88 | 2025-12-28 11:17:37+00:00
Tesla: Data sharing with 3rd parties is a fact they themselves advertise: https://theoffroading.com/does-tesla-sell-driving-data/ Are they being paid for it or is one of the companies amazon? I couldn't find that information, but frankly: if the tech is in place and used, why wouldn't they? GM does so with insurance companies: https://www.nytimes.com/2024/03/11/technology/carmakers-driv...

Tesla does have the ability to remotely disable your car: https://theoffroading.com/can-tesla-shut-down-your-car-remot... Again: the tech is there and as we already experienced with John Deer machinery will be used when called upon https://doctorow.medium.com/about-those-kill-switched-ukrain...
by donkeybeer | 2025-12-28 11:18:33+00:00
Normally we'd call that schizophrenia, hallucinations or any number of serious mental illnesses. The religious are on the other hand coddled. I'll be honest, at a fundamental level, I don't trust religious people at all, I work with people as needed to, but its like trusting a wild unpredictable beast, you never know what dangerous form their insanities would one day pop up as.
by andy12_ | 2025-12-28 11:19:26+00:00
In which sense is it regulated? Are they regulated in any way that matters for this discussion? Have their ecological consequences been avoided by regulation? The oil and gas industries continue to be the biggest culprits of climate change, and that cannot be changed by law.

If data centers were "regulated" would that make you happy? Even if those data centers continued to use the same amount of electricity and the same amount of water?
Show HN: CodeAnswr – Stack Overflow alternative with AI and no geo-blocking
by saradev2025 | 2025-12-28 11:21:48+00:00
Hi HN! I'm a solo developer from Iran. Built this because Stack Overflow is blocked here.

CodeAnswr combines instant AI answers with community Q&A, focusing on accessibility.

Key features:
- Free AI answers powered by Claude Sonnet 4
- Works everywhere (no geo-restrictions - Iran, China, etc.)
- End-to-end encrypted private questions
- Multilingual: English, Persian, Arabic, Chinese, Spanish, French, German
- Zero karma barriers (unlike Stack Overflow)
- Privacy scanner detects API keys before posting

Tech stack:
- Frontend: SvelteKit + TailwindCSS
- Backend: Cloudflare Workers + Hono.js
- Database: Cloudflare D1 (SQLite at edge)
- AI: Claude via Puter.js
- Hosting: Cloudflare Pages (100% edge)

Stats (3 days in):
- 17 registered users
- 26 questions asked
- 23 answers (mix of AI + community)
- Running at $0/month (Cloudflare free tier)

Open source: https://github.com/mobinpo/Implementing-Developer-Hub-APIs

Questions for HN:
1. Should I add gamification like Stack Overflow's reputation system?
2. How to handle content moderation at scale?
3. Best growth strategies for niche developer tools?

Happy to answer technical questions about the serverless architecture or privacy implementation!
by chiefalchemist | 2025-12-28 11:22:05+00:00
This is one of the manifestations of Crony Capitalism. That is, manipulation (i.e., typically regulation) that puts its thumb on the scale and picks winners and losers.

Most people who complain about capitalism are actually complaining about Crony Capitalism. The fact that don’t understand the differ* is what makes CC so “magically.”

* The NFL is not the Premier League, and vice versa. Both play football, yet no one would confuse the two. Capitalism and Crony Capitalism should have the same differentiation and clarity. The reason they are not is not accidental.
by schiffern | 2025-12-28 11:22:28+00:00
>Think of all the kids of the 60th and 70th. They must be immune to most toxins ;).

60th and 70th what?? :)

But seriously though, "immune" is a humorous exaggeration, but I'm not sure we have data to rule out the idea that this cohort has increased tolerance to some environmental toxins.

So it's possible the level of harm we see today is already "post-" this protective effect, if any.
by DanexCodr | 2025-12-28 11:22:52+00:00
You've highlighted exactly why my example was poorly chosen - it sounds physically impossible. Let me explain what's actually happening:

We're NOT loading 13.66 days of 8K video. That would indeed be ~2.5 petabytes.

What we are doing is creating a virtual processing pipeline that could process that much data if you had it, but instead processes only what you actually need.

The Actual Code Behind This:

```java
// 1. Virtual reference, NOT loading
video := virtual_source("8k_video.mp4") // O(1) memory - just metadata

// 2. Algorithm expressed at full scale
for frame in [0 to 33M] { // VIRTUAL: 33 million frames
for pixel in [0 to 33M] { // VIRTUAL: 33 million pixels
brightness = calculate_brightness(pixel) // FORMULA, not computation

// Creates conditional formula
if brightness > 128 {
pixels[pixel] = 255
} elif brightness > 64 {
pixels[pixel] = 128
} else {
pixels[pixel] = 0
}
}

}

// 3. Only compute specific frames (e.g., every 1000th frame for preview)
for preview_frame in [0, 1000, 2000, 3000] {
actual_pixels = video[preview_frame].compute() // Only NOW computes
display(actual_pixels) // These 4 frames only
}
```

What Actually Happens in 50ms:

1. 0-45ms: Pattern detection creates optimization formulas
2. 5ms: Compute the few frames actually requested
3. 0ms: Loading video (never happens)

Better, More Honest Example:

A real use case would be:

```java
// Video editing app on phone
// User wants to apply filter to 10-second clip (240 frames)

clip_frames := video[frame_start to frame_end] // 240 frames, virtual
filter := create_filter("vintage") // Filter definition

// Design filter at full quality
for frame in clip_frames {
frame.apply_filter(filter) // Creates formula application
}

// Preview instantly at lower resolution
preview = clip_frames[0].downsample(0.25).compute() // Fast preview

// Render only when user confirms
if user_confirms {
for frame in clip_frames {
output = frame.compute_full_quality() // Now compute 240 frames
save(output)
}
}
```

The Real Innovation:

Separating algorithm design from data scale.

You can:

· Design algorithms assuming unlimited data
· Test with tiny samples
· Deploy to process only what's needed
· Scale up seamlessly when you have infrastructure

My Mistake:

The '50ms for 937 billion pixels' claim was misleading. What I should have said:

'50ms to create a processing algorithm that could handle 937 billion pixels, then instant access to any specific pixel.'

The value isn't in processing everything instantly (impossible), but in designing at scale without scale anxiety.
Show HN: AOSI Draft Reference Model for AI (Think OSI Model Not AI Model)
by shawnreilly | 2025-12-28 11:23:22+00:00
Enthusiast trying to forward innovation within the AI Community; The goal of AOSI is to create a common vocabulary, common terminology, and common functional roadmap for AI systems, so that developers, researchers, and organizations can communicate more clearly, design more reliably, and innovate faster; just like OSI did for Network Infrastructure. Just sharing with the community, hope this will add value to discussions!
by Kon5ole | 2025-12-28 11:24:02+00:00
>Apple is #4 in laptop sales. Lenovo, Dell and HP each have at least as much volume.

True but they divide their sales among several models. Gaming models, 2-in-1s, 13" to 17" and so on. Apple not only has fewer models they often keep the same case design between generations which also benefits economies of scale.
Show HN: Hideout – to explore the cold-start problem
by hito20 | 2025-12-28 11:24:04+00:00
Hi HN,

I’m building Hideout, a small web-based chat app inspired by Discord-style rooms, but stripped down to the minimum.

I started this project because I was curious about one specific problem:
how do you make a real-time chat app feel alive with very few users?

Right now:

Hideout has ~35 users

One main room

Text chat only

No moderation tools, bots, or servers to configure

The app is intentionally simple. When someone joins, they’re dropped directly into the active room so conversations aren’t fragmented.

The hardest issue so far has been the cold start problem — users joining at different times and finding empty rooms. I’m experimenting with:

activity concentration (one room)

time-based prompts

system messages that encourage interaction

This is very early and not polished, but it’s usable today.

I’m mainly looking for:

feedback on the experience

thoughts on approaches to early community formation

ideas for making small real-time apps feel social before scale

I’ll be around to answer questions and discuss what I’ve learned so far.

Thanks!
by csomar | 2025-12-28 11:24:53+00:00
I am starting to use them less. I only use GLM now, the supposed "gains" from "better" models (like Gemini or Claude) are an illusion at best. They can waste you a lot of time as you swap through the different implementations, or as you debug bad structural decisions that it took and you didn't take the time to read/contemplate.

They can be useful to one-shot code that you already know exactly what it should be. Because if you already have the mental model of what the code should be, you can read it x10 faster. The other useful thing is: complex multi-dimensional search. You can explain a process and it'll walk you through the code base. Useful if you already have knowledge of the code base and you need to refresh your memory.

In general, now, I'd consider LLMs extremely harmful. They can introduce very high-interest debt to your code base and quickly bring it to collections. The usage must be carefully considered and deliberated.
by dotancohen | 2025-12-28 11:26:27+00:00
I see, thanks.

> Writing down is a sign-post for you to stay in your lane.

I think I get it now. When I'm developing a feature, I'll first write a commented git commit message. I'll refer back to it every so often to ensure that whatever that commit message says, that's what I'm doing. Everything else that I want to do should go into an Org mode file that is not committed.

> #git commit -m "Foo the bar"

Is what I'm debugging now directly related to fooing the bar? If not, write it down and get back to fooing the bar.
by JumpCrisscross | 2025-12-28 11:26:46+00:00
> forcing oil to be bought with dollars, the USD was pegged to oil demand, especially from developing nations whose consumption was growing

If you give me one source, I'll break down why this is wrong.

(In case there isn't one, the U.S. dollar was never pegged to oil demand [whatever that means]. And nothing about petrodollar recycling thought about developing nations for one second.)
by codersfocus | 2025-12-28 11:28:26+00:00
This looks neat, not exactly sure how useful such a tiny space for each day would be by itself.

I took the complete opposite approach with Wiseday, giving each day its own page (and each waking hour some space too.)

Example: https://imgur.com/a/LjSDPw9

V1 releasing on iOS as soon as Apple finishes reviewing if anyone wants to try (waitlist at https://wisedayplanner.com/waitlist/)
by spwa4 | 2025-12-28 11:29:01+00:00
Both faster and slower. The problem is you cannot trust LLMs with even the easiest of tasks. Generating boilerplate, better and more flexible than a code generator would, yes. Writing UIs that you then fix up, yes.

But business logic that needs to be trusted? Nooooo.

So very, very rarely 1000% faster. Most of the time 10% slower as I have to find and fix issues.

I'll still say it's a net improvement, but not by much. So let's say 10%.
by imtringued | 2025-12-28 11:30:36+00:00
Honestly the dilution thing never made much sense. It's penny pinching your most important employees.

If you don't want your employees holding shares, then tell them to sell their shares during the seed rounds where you will give them a chance to liquidate and renegotiate the shares allocation. Your employees now have a strong incentive to make it to the next seed round and the bigger the round the better.

The current system appears to be suboptimal for both parties. Employees receive options as replacement for a lower salary, but the founders don't actually want to give up control over the company. This means you now have the worst of both worlds. The employees know they will get shafted and value the options at zero, which kills the productivity incentive. The founders have given away options for nothing and now need to engineer a situation where the options are as valuable as the employees think they are.
by gus_massa | 2025-12-28 11:31:35+00:00
Looking again at the images:

In the "ice cream" example, the cones are taller than the others, but in the images you cut the tip to play.

In the "house" example, the labels are outside the cards, so it would be difficult to cut.

The "unicorn" example is perfect.

So my guess is that in the different examples you improved the prompt.

---

I really like that your examples have no numbers, so each family can use their preference. I imagine it would be very hard to convince my daughter that it's better to keep the "5-chocolate" and drop the "1-mint-with-chocolate-chips". (She would understand the problem and ragequit.)
by aragilar | 2025-12-28 11:32:23+00:00
Only doing "just reporting what they see" is a problem as well (and even AP (https://apnews.com/) does analysis, and their more on the "just reporting what they see" side than most news providers), but opinions being presented as facts is far more common (at least from the mainstream AU media, I don't know what the situation is elsewhere), hence trying to clearly demarcate the two is better than being unclear about what you are presenting. You need facts and analysis, and them labelled as such.

Personally, I find a good example of this is the different election broadcasts: the commercial TV broadcasters tend to have their staff take both the role of election analyst (i.e. result prediction) and commentator, whereas the ABC (one of the public broadcasters) has tended to have clear separation of roles (enough such that the election analyst who just retired has a cult following), with an election analyst who is giving detailed predictions and calls the election, political journalists providing context/analysis, polling experts covering what the polls missed/got right, and politicians from the major parties giving their opinions as well.
by Fargren | 2025-12-28 11:32:24+00:00
If 1% of indie games are solid, and all AAA game are solid, and there are 100 times more indie games than AAA games, then there would still be the same amount of solid indies as there are solid AAA games. As it is, I think for every good AAA game, there are somewhere between 50 and 500 great indie games.

Finding them is slightly harder, but absolutely worth it.

In any case, complaining about how many games there are out there that are not your thing is a waste of time. Much better to define what you like and look for recommendations from people who like similar games. Who care how many FPSs are released if you don't like FPSs? If you like RPGs, find RPG gamers and ask them what's good. Substitute for any genre; there is no genre out there that's not getting more releases than you could possibly play.
by JumpCrisscross | 2025-12-28 11:35:04+00:00
> attack is not on dollar circulation / liquidity but cost of treasury

No real way this can work between similarly-sized trading economies. Worst case, a couple central bankers' weekends would be ruined.

> PRC recycle surplus USD into BRI finance, said USD doesn't return to US treasury to buy bonds

How? PRC sends dollars into BRICS. What do they do with the dollars? If they aren't sitting on them, they're contributing to the dollar economy.

The PRC financing using dollars would be nuts because it puts their sovereign financing into American hands.

> PRC parallel dollar bond lending COMPETES with US treasury bond lending

Not in any meaningful way. (There aren't that many indisctiminate buyers of international debt anymore. Put another way, most Treasury buyers have and will never buy any Chinese paper and vice versa.)

> US treasury had to find other buyers to fill ~600 billions (and raising) of USD bonds that PRC no longer holds. Filling hole that size = finding more price sensitive buyers

Not really. You fire up the Fed. If it's China that's doing it, that's national security. Hell, sanction the accounts the dollars are going into.

> but 100 billion here and there and soon we are talking about real money

Have you traded Treasuries in an instituional setting? You're talking about the size of a single desk's intraday exposure.
by Vincent_Yan404 | 2025-12-28 11:35:23+00:00
That's exactly why I wanted to write this story. It is surreal to think that while we worry about parking spots today, a generation of brilliant minds was working under the barrel of a gun (sometimes literally, as you described). The tension between the 'Red' (political) and the 'Expert' (technical) was a defining tragedy of that era.
by callbacked | 2025-12-28 11:37:30+00:00
Discord's embeds for social media links are annoying. TikTok videos show as static images at times. Instagram Reels lose the video entirely and it sends as a thumbnail image. Twitter embeds are hit or miss (or used to be, it has improved).

Embebot automatically detects these links and replies with upgraded versions using services like vxtwitter, vxtiktok, and ddinstagram – which actually embed the video inline with a proper player.

Built on Cloudflare Workers using Durable Objects w/ a SvelteKit dashboard. Server admins can toggle platforms on/off and customize which embed service to use.

Repo: github.com/callbacked/embebot-cf

This is actually a rewrite to a Cloudflare workers friendly version of my bot since it was written in Go, packaged via Docker and hosted on my homelab, but I've been too busy tending to my homelab and want to host it on more reliable infra.