MurphyA/hacker-news huggingface dataset:
by Larrikin | 2026-01-23 13:14:11+00:00
Distract from the pedophile issue with memes while grifting billions from the US.

Trump did not have enough pay the money from his rape case. Now a year later through bribes and making Americans poorer with tariffs he personally has earned over a billion dollars. Greenland conquering gave him a couple extra weeks to break the law and only release the 1 percent of photos from the Epstein files that had Clinton in them.
by jraph | 2026-01-23 13:14:15+00:00
> i.e. that our equations just confirmed what we observed

No, no, it's the opposite, and it's key! What we had been observing kept matching what the equations gave us "so far". Without cherry-picking, or refusing to see the cases where the model doesn't apply (consciously or not), which would have been confirmation bias.

We did, in fact, question the model as soon as we noticed it didn't apply.

Confirmation bias implies "cognitive blinkers", I don't think this happened in this Newton vs Einstein stuff.

But I agree the confirmation bias risk is not very far away. It's an issue in the general population, it's also likely a big issue in research.
by TeMPOraL | 2026-01-23 13:14:17+00:00
This sounds a bit like the "Asking vs. Guessing culture" discussion on the front page yesterday. With the "Guesser" being GP who's front-loading extra investigation, debugging and maintenance work so the project maintainers don't have to do it, and with the "Asker" being the client from your example, pasting the submission to ChatGPT and forwarding its response.
by andrewrn | 2026-01-23 13:14:56+00:00
The author mentioned they’ve been self-employed for 15 years, then proceeds to make a bunch of claims about traditional employment, like being “your professional development being structurally supported,” but it’s important to remember the variance in normal employment, too.

When you’re valuable in a certain position at a company, trying to grow beyond it is like swimming upstream in a raging current. The pigeonholing that happens when you work for a big company is not to be underestimated.
by KronisLV | 2026-01-23 13:15:17+00:00
> It's just a database. There is no difference in a technical sense between "hallucination" and whatever else you imagine.

It's like a JPEG. Except instead of lossy compression on images that give you a pixel soup that only vaguely resembles the original if you're resource bound (and even modern SOTA models are when it comes to LLMs), instead you get stuff that looks more or less correct but just isn't.
by vee-kay | 2026-01-23 13:15:30+00:00
My country is considered to be among the world's most fertile land as it has world's largest rivers, which spew out fresh alluvial soil (very fertile for agriculture).

But when drought hits any corner of my nation, the rich and poor folks alike take extra efforts to conserve water. It is rare to see excess public wastage of water during drought.

Perhaps it is because some parts of this ancient land is already permanently aridified into desert long ago, and the rains can be erratic even during non-drought years. So people have learnt to respect water to a good extent.

To put it into perspective, the vast Sahara desert was once a lush rainforest. Cutting down the jungle trees and mismanagement of water resources by humans, is what turned into a forbidding barren desert.

So it is certainly shocking to see one of the richest lands in the world (which can certainly throw enough money at almost any civic problem), wasting water, especially during drought. And it is shocking and infuriating to see people with common sense (who are conserving water during drought) being punished by the state for doing so.

> The big scale in water politics is in the colorado river compact and how water rights are bought up by foreign alfalfa farmers to effectively ship water overseas.

Wait, what? California owned water is being shipped overseas?!! Even during drought?

I really don't know how to respond to such madness. All I can say such a crime (although , I have a feeling this is somehow legal) should be considered like a felony at the very least.

I heard California got a good governor. While other states have been de-funding public schools and suspensing school launches for the poor kids, he is ensuring the opposite, so such compassion will help to school and grow the new generations to be better contributors to society and nation. Maybe you Californians ought to do some mass-signatures campaign writing to him and other officials, urging them to reform the unethical historical laws and corrupt policies on water rights.
by iluxonchik | 2026-01-23 13:15:47+00:00
AI infrastructure is built on copper.

From a technical standpoint, copper is currently flipping a ≈20 year old resistance for support. On a monthly chart, copper is in a multi-year upwards channel, and it’s now close to the upper trend line of that channel. Copper is also at record lows when priced in terms of gold and silver.

From a fundamental, supply/demand perspective, copper is required for electrification, data centers, new buildings, electric vehicles, and electric appliances in general.
by throw310822 | 2026-01-23 13:15:54+00:00
Famously Steve Jobs said that the (personal) computer is "like a bicycle for the mind". It's a great metaphor because- besides the idea of lightness and freedom it communicates- it also described the computer as multiplier of the human strength- the bicycle allows one to travel faster and with much less effort, it's true, but ultimately the source of its power is still entirely in the muscles of the cyclist- you don't get out of it anything that you didn't put yourself.

Bu the feeling I'm having with LLMs is that we've entered the age of fossil-fuel engines: something that moves on its own power and produces somewhat more than the user needs to put into it. Ok, in the current version it might not go very far and needs to be pushed now and then, but the total energy output is greater than what users need to put in. We could call it a horse, except that this is artificial: it's a tractor. And in the last months I've been feeling like someone who spent years pushing a plough in the fields, and has suddenly received a tractor. A primitive model, still imperfect, but already working.
by pjmlp | 2026-01-23 13:15:55+00:00
I haven't searched much, but failed to find anything related to bounds checking, or enabling hardned runtimes for C++, which I consider a must-have in any modern project.

Also probably something similar for C, like using SDS (https://github.com/antirez/sds) instead of standard library calls.

Other than that, great work.
by jagged-chisel | 2026-01-23 13:15:59+00:00
I’m genuinely curious about how this title was misleading. I have not heard anything about this issue until this link on HN. I did indeed assume the crying was added by AI at the behest of White House staff.

Please don’t misread: I am genuinely curious how I one may have read this another way and how that could have been helped with rewording.
by mlrtime | 2026-01-23 13:16:18+00:00
I’ve read Frank and this framing assumes there is an objective definition of self interest usually economic and that other priorities like culture autonomy or distrust of institutions are just manipulation. What stands out is the asymmetry where rural voters are described as being worked while poor urban voters making similar tradeoffs are explained through structure or lived experience.

Frank himself later pulled back some of the book’s claims and shifted more blame toward party strategy and elite failure rather than voter pathology. Everyone is influenced by elites and narratives but only some voters are treated as lacking agency when they choose differently.
by l2g | 2026-01-23 13:18:21+00:00
Apprise (https://github.com/caronc/apprise hit 100M+ downloads and I just wanted to thank those who have adapted it into their systems!

* Entirely a self-hosted solution.
* Been around since ~2018; so it's had time to mature
* Written in Python
* 100% Test Coverage (over 51,000+ lines of code)
* BSD-2 License
* Over 15,600+ stars on GitHub!
* Over 6.6M+ downloads a month on PyPi
* Over 100M+ total downloads total on PyPi
* The API version of Apprise has had more than 4.8 million downloads from Docker Hub
* Use of this effectively centralizes your configuration for all applications and anything else into one single spot.
* Supports more then 128 Services already (always adding more!)

Official Documentation Site (this is new): https://AppriseIt.com. It is also backed by a new open source repository all can contribute to at https://github.com/caronc/apprise-docs

A showcase of just some of the people who have adapted Apprise here: https://appriseit.com/contributing/showcase/
by clorisye | 2026-01-23 13:18:26+00:00
I built this because generic LLMs are often too moralizing or biased when dealing with ethical non-monogamy (ENM) and polyamory contexts. I wanted a tool that acts as a "linguistic calibrator" to help partners communicate securely, specifically respecting attachment styles (Anxious/Avoidant).

The Tech Stack:

- Frontend: Next.js 14 (App Router), Tailwind

- Backend: Supabase (Postgres + pgvector for long-term memory of relationship graphs)

- AI: Model-agnostic architecture (currently routing via OpenRouter to GPT-4o and Sonnet 3.5). I use heavy system prompting to enforce NVC (Non-Violent Communication) principles.

The core challenge was preventing the context window from getting messy with complex polycule structures (who is dating whom), so I implemented a graph-based memory retrieval system.

Would love to hear your feedback on the prompts or the approach to privacy!
by blenderob | 2026-01-23 13:20:00+00:00
> It's a nice piece, but come on, ease off a bit.

I didn't repost it today. I think HN mods did that. If you see your search link, I posted only once 4 days ago. I think HN mods repost some posts.

Also check the FAQ - https://news.ycombinator.com/newsfaq.html

> Are reposts ok? If a story has not had significant attention in the last year or so, a small number of reposts is ok. Otherwise we bury reposts as duplicates.
by myrmidon | 2026-01-23 13:20:24+00:00
Because it's reductive bullshit.

Energy price is just one of many inputs for the viability of industry.

Availability of (educated) labor, wage level, infrastructure, political stability and a ton of other factors are at least as if not more important.

Why should we keep tolerating irreversible damage to planet/climate just to keep costs/prices low? If you can't produce some shit sustainably because that makes it too expensive, then maybe it should not get produced in the first place?
by sumtechguy | 2026-01-23 13:20:39+00:00
As someone who has picked up recently some 'legacy' code. AI has been really good at mostly summing up what is going on. In many cases it finds things I had no idea was wrong (because I do not know the code very well yet). This is so called 'battle hardened code'. I review it and say 'yeah its is wildly broken and I see how the original developer ended up here'. Sometimes the previous dev would be nice enough to leave a comment or some devs 'the code is the comments'. I have also had AI go wildly off the rails and do very dumb things. It is an interesting tool for sure one you have to keep an eye on or it will confidently make a foot gun for you. It is also nice for someone like me who has some sort of weird social anxiaty thing about bugging my fellow devs. In that I can create options tables and pick good ideas out of that.
by Tor3 | 2026-01-23 13:20:42+00:00
Where heating is needed, and where heating is done by electricity, changing to LED lighting indoors don't make any difference whatsoever. Unless your main heating source is a heat pump. In my home there's a heat pump upstairs, but not downstairs. All the lights downstairs are now LED, but the only effect that has is monetary - LED lights are way more expensive, and contrary to claims, don't last longer either. But these days LED is the only option available when buying.

Heat pumps though.. they really save a lot of electricity. Very visible on my electricity bill.
by blabla_bla | 2026-01-23 13:20:46+00:00
The author reviews recent AI-based text-to-speech (TTS) systems and finds that despite big advances in AI voices, they still *don’t meet the needs of screen reader users*. Traditional voices used by blind users are fast, clear, and predictable — preferences not matched by newer AI models, which tend to be slower, less accurate with pronunciation, and lacking in customization. Issues include heavy software dependencies, slower startup, misreading words/numbers, and poor control over voice characteristics. The result is that modern AI TTS isn’t yet suitable for everyday screen reader use, and good legacy systems remain hard to replace
by Peritract | 2026-01-23 13:20:55+00:00
Two things, I think:

1. "Defends" suggests some level of explanation and justification; the White House did not present any here.

2. "AI image showing arrested woman" could mean a fully-generated image of a woman, rather than editing an image of an existing person under law enforcement control to disguise the actual facts. The first one would be bizarre, the second one is much more problematic.
by MSFT_Edging | 2026-01-23 13:21:07+00:00
Yeah, it's a bit of a convoluted system. They'll take your peak day during a period, and charge you 12/kwh for your usage during the peak period of the day.

So you can easily add 1-200 dollars to your bill for one day of higher usage.

https://www.myhorrynews.com/news/horry-electric-co-op-to-cha...
by gtirloni | 2026-01-23 13:21:12+00:00
Thanks. But's not actually the point I'm trying to make.

What I'm saying is that the authors have a responsibility, whether they wrote the papers themselves, asked an AI to write and didn't read it thoroughly, or asked their grandparents while on LSD to write it... it all comes back to whoever put their names on the paper and submitted it.

I think AI is a red herring here.
by telesilla | 2026-01-23 13:21:22+00:00
My 2022 M1 macbook sound input will slowly have the volume lowered to where no-one can hear me, regardless of what the device I'm using as a microphone. I run a permanent applescript that keeps the input volume at 80%, updated every 5 seconds. Apple doesn't care since it's a rare issue, never seen anyone else with this problem and I don't see how taking it to Apple Support will help.
by Sebb767 | 2026-01-23 13:21:37+00:00
Each of our devices spents a lot of energy dedicated to encryption. By now, all disks you did not set up manually are most likely encrypted and hardly any unencrypted package will travel out of your network. That's not to mention the tons of load and dedicated hardware we have just to terminate https and scan traffic for suspicious activity or the hardware being replaced because it's internal security triggered/broke.

In a perfect world, we could send all traffic completely unencrypted and never scan for a malicious payload, saving all that energy and hardware. But we do not live in that world and drawing the line with this minor, mostly unintrusive security feature seems strange.
by ninkendo | 2026-01-23 13:21:49+00:00
People look at the backlog of issues, see all the things they don't like about $subsystem, and think to themselves "we ought to rewrite this". The incentives are all aligned to make this common. Project managers get a nice chunk of work to manage, engineers get to write things their way, managers get a nice thing to add to their accomplishments, everyone feels like progress is happening. Heck, sometimes there may actually be real deficiencies in the existing code that are being addressed! And in the end, the bug count is lower! (Never mind that it's only lower because it hasn't had the time in production to actually find the bugs yet...)

Large-scale software is hard. So hard nobody's really managed to do it well. By large-scale I don't mean "a lot of users" or "a large deployment"... I mean "a lot of engineers". Once the number of engineers gets large enough, they start making decisions that make the product worse, more bloated, more buggy, and no human is capable of keeping it in check, because the sheer amount of activity in the code is so large you can't possibly keep up with it. And the worst part is that orgs try to solve this by... hiring more engineers to wrangle the complexity. By this point you're already sunk, there's no going back.
by etienneai | 2026-01-23 13:22:42+00:00
Hello HN,

I built this because I wanted AI-assisted workflow editing for my self-hosted n8n instance, without usage quotas or cloud dependencies.

n8n recently launched an AI assistant (cloud-only), but I wanted the same capabilities locally with my own AI (Cursor, Cline, Claude, etc.).

What it does:

AI-powered workflow editing: Your AI assistant understands n8n's 600+ nodes with accurate schemas
Prevents hallucinations: Provides 1246+ indexed doc pages, node parameters, and 7000+ community workflow examples
Works in VS Code or CLI with real-time sync to your n8n instance
Bonus: Git versioning with bidirectional sync and conflict resolution
Technical details:

Claude Agent Skill + context files for Cursor/Cline/Windsurf
Agent CLI with FlexSearch over nodes, docs, and workflows
Bidirectional sync via n8n API (works with self-hosted or cloud)
VS Code extension with embedded n8n canvas
Note on the repo: This is a monorepo (core sync engine, CLI, agent-cli, VS Code extension, Claude skill). The extension is in packages/vscode-extension.

It's open source and free. I'd appreciate feedback on the AI context accuracy!

Links:

GitHub: https://github.com/EtienneLescot/n8n-as-code
Documentation: https://etiennelescot.github.io/n8n-as-code/
VS Code Extension: https://marketplace.visualstudio.com/items?itemName=etienne-...
Video demo: https://youtu.be/DkwLZ_YNSlI
by leetrout | 2026-01-23 13:22:48+00:00
> Docker created a standard so successful that it became infrastructure, and infrastructure is hard to monetize

Open infrastructure is hard to monetize. Old school robotics players have a playbook for this. You may or may not agree DBs are infra but Oracle has done well by capitalistic standards.

The reality is in our economy exploitation is a basic requirement. Nothing says a company providing porcelain for Linux kernel capabilities has a right to exist. What has turned into OCI is great. Docker desktop lost on Mac to Orb stack and friends (but I guess they have caught back up?) the article does make it clear they have tried hard to find a place to leverage rent and it probably is making enough for a 10-100 person company to be very comfortable but 500-1000 seems very over grown at this point.

Really should not have given up on Swarm just to come back to it. Kubernetes is over kill for so many people using it for a convenient deployment story.
by Symmetry | 2026-01-23 13:22:50+00:00
After Deep Blue Garry Kapsparav proposed "Centaur Chess"[1] where teams of humans and computers would complete with each other. For about a decade a team like that was superior to either an unaided computer or an unaided AI. These days pure AI teams tend to be much stronger.

[1] https://en.wikipedia.org/wiki/Advanced_chess
by haritha-j | 2026-01-23 13:22:52+00:00
Oh in my head I just assumed they used AI to generate an image of a woman crying while being arrested from scratch. Given that the white house previously shared AI generated videos of Trump putting a flag on Greenland or dropping feces on protestors, I assumed it was a from-scratch generated image to show something 'aspirational', rather than using AI to edit an existing arrest image.
by snowwrestler | 2026-01-23 13:23:05+00:00
Google’s biggest search signal now is aggregate behavioral data reported from Chrome. That pervasive behavioral surveillance is the main reason Apple has never allowed a native Chrome app on iOS.

It’s also why it is so hard to compete with Google. You guys are talking about techniques for analyzing the corpus of the search index. Google does that and has a direct view into how millions of people interact with it.
by natmaka | 2026-01-23 13:23:17+00:00
Regarding known and exploited or rapidly exploitable deposits, we are very, very far from millions of years:
"As of 2017, identified uranium reserves recoverable at US$130/kg were 6.14 million tons (compared to 5.72 million tons in 2015). At the rate of consumption in 2017, these reserves are sufficient for slightly over 130 years of supply"

Source: https://en.wikipedia.org/wiki/Uranium_mining#Peak_uranium
by HatMassage | 2026-01-23 13:24:01+00:00
Title is misinformation, price went from around 85 cents a month to 1.65 a month which is around $20 a year, and I'm pretty sure the price for individual premium has been the same since 2016 or thereabouts.

A $200 increase would be $30 (which it isn't).

Also, this seems to be a duplicate of: https://news.ycombinator.com/item?id=46710254
by thechao | 2026-01-23 13:24:38+00:00
Ballpark figures based on the ram earth construction for TGE vs AOT would have the AOT wall be 5-10x the volume & mass of the TGW. The issue is labor — the Great Wall probably represents 20–100 million ma years of labor. The AoT wall probably has at most 100k man years of labor it could've pulled from. That'd mean it's labor-mass ratio is off by 1000–10000x.
by gsf_emergency_6 | 2026-01-23 13:24:49+00:00
Sounds about right. Here though.. have we figured out what the common goal is? I'm not even sure what the factional ones are..

"Decoupling by coupling" is my name for this confusion :)

Concrete to-do is to dissect and mount some YouTube transcripts for ah, what I'd call "offspring activation"

On the other axis, there is mention of lyingflat so that's where I've been nudging the trolls :)

For both I'll have to read Hiroyuki Nishimura. May take a month! (Both the original and the Chinese version)

"Things that cannot be said" as per Orwell are indeed part of the troll-sploration, shall we say, common, objectives.. ?

L:
https://youtu.be/HBURlcNpfoo

PS: Buxton 100 has my vote :)
by specproc | 2026-01-23 13:25:50+00:00
The article tells us as much about coding as it does AI.

The author cites Loom and a transcription service as their projects. They've just stitched together screen record and a video editor, and made a nice front end for Whisper.

Not diminishing this, quite the opposite. Something I love about coding in the 21st century is that there's so much to build on! A lot of work is about finding two or more cool things that work well together, packaging them up nicely and creating something that's greater than the sum of its parts.

I've mixed feelings about AI, but it's great for this sort of work flow. It's great for writing the tedious glue/GUI around established libraries.
by regenschutz | 2026-01-23 13:26:01+00:00
Unfortunately, I doubt that would work. Email is so popular because it's sort of a universal messaging protocol that so many old but critical pieces of infrastructure require. If this "Email 2.0" released, it would take years, if not decades, for critical infrastructure to switch over.

In the meantime, you'd still need an Email 1.0 client. So now you have a mix of your most important emails from critical infrastructure and just spam from bots who don't want to pay money for sending spam in your inbox.

You'll still need to deal with spam, but if anything it'll be even worse because now you have to double the amount of inboxes you have.
by JKCalhoun | 2026-01-23 13:26:50+00:00
"Death knell" is, I think, putting too fine a point on it.

At the same time, Apple better wake up as the quality of the App Store (such as it is) is about to get much, much worse as a flood of vibe-coded apps make it onto the store. These will likely crap out in spectacular ways and, as I say, bring user's experience with the App Store in general way down.

It's like when Amazon intermingled drop-ship sellers on their platform.

(Oh well, not my problem.)