MurphyA/hacker-news huggingface dataset:
I built a global city safety database, here's what the data reveals
by nonmaskable | 2026-02-24 11:55:37+00:00
Out of curiosity, I pulled together a city database combining safety stats from various places: crime records, how safe people feel walking around during daylight versus after dark, health care ratings, plus stories from neighborhood updates. The results? They tell a story words often miss.

The Rankings
Since standard tables don't render well here, here is the raw data parsed out:

Rank City Country Score
-----------------------------------------------
1 Sapporo Japan 93.2/100
2 Nagoya Japan 91.0/100
3 Abu Dhabi UAE 88.9/100
4 Suzhou China 88.7/100
5 Hue Vietnam 87.6/100
6 Kyoto Japan 85.8/100
7 Fukuoka Japan 85.3/100
8 Doha Qatar 84.5/100
9 Dubai UAE 83.9/100
10 Taipei Taiwan 83.5/100
11 Kotor Montenegro 82.7/100
12 Queenstown New Zealand 82.5/100
13 Nuwara Eliya Sri Lanka 82.4/100
14 Ajaccio France 82.3/100
15 Dubrovnik Croatia 82.2/100
What Stood Out
Japan
Japan stands apart from most places. Four cities rank in the top seven: Sapporo, Nagoya, Kyoto, and Fukuoka, all above 85. Nighttime safety comes close to daytime levels, something rarely seen elsewhere. When it comes to walking alone after dark, Nagoya hits 90.6.

The Cost of Safety
Low cost does not mean high safety most of the time. Just two places appear on both top rankings: Hue at $309 monthly, and Nuwara Eliya with a rate of $432 per month. Safety often comes with steep prices: take Abu Dhabi, where rent hits $2,254 each month. Queenstown demands even more, sitting at $3,066. Dubai follows close behind with a monthly burden of $2,873.

Women's Nighttime Safety
Hue takes first place when women travel alone after dark. Nighttime walks here score highest, landing at 94.4. Next comes Nagoya, holding steady with a 90.6 mark. Safety dips slightly in Ajaccio, yet it still makes the cut at 89.6. Sapporo follows close behind, rated 88.7 for evening movement. Rounding out the five, Kotor clocks in at 87.5.

What sets Hue apart isn't just safety; it also costs less than every other spot listed. That mix—secure streets and low prices—is tough to beat.

Europe's Hidden Gems
Tiny towns beat big names when it comes to safety in Europe. Places like Kotor, Ajaccio, and Dubrovnik stay under the radar yet rank high. Meanwhile, major hubs such as Paris at 56.2, London with 46.4, and Rome scoring 53.8 fall short. None of them make it into the top fifty spots. Safety favors the quiet corners over famous streets.

Taipei
Few people talk about how safe Taipei really is. With an 83.5 score overall, it stands out quietly. Walking after dark? That number climbs to 85.2. Daytime feels even more secure; 92.8 says enough. For $1,215 each month, comfort comes without surprise. When protection matters most, cities like this don't shout, but they deliver. Not every urban place offers this balance.

Data Sources : All data coming from novad.app

Curious about a place? I've got the details ready. Hit me with a name—one detail leads to another. Every spot has layers, and those come through just fine. Questions like that always open doors.
by adrian_b | 2026-02-24 11:55:48+00:00
I wonder how good is the cooling of the stacked "robot brain".

It would be nice to see some temperatures in relevant points, when the computer is stress tested in the closed waterproof case and a hot ambient.

The Cortex-A55 based CPU has low power consumption, but it is not negligible and without a heatsink it may overheat and throttle.

Moreover, in an closed box, one may need means to transfer the heat from the stacked electronics to the aluminum walls of the box.

From the provided pictures, I cannot see how the electronics would be cooled well enough, especially when working outdoors during a hot day.
by rustyhancock | 2026-02-24 11:55:56+00:00
My understanding is that subscription based inference and API usage is now profitable.

Subscriptions are highly profitable for the typical chat user.

And API is overall net profitable.

What is extremely taxing to their finances is R&D, training and in particular development of frontier models.

My assessment is that when the music stops those who have the most subs will win.

Companies like Apple who had sat out the battle and built niche moats (privacy), and companies like OpenAI and Anthropic who have the market share will be fine.

In 6-12 months, nearly any lead they have will be eaten by distillation.

What will then happen is they will lose subscriptions to services which offer AI as a tack on like Gemini with Googles regular cloud subscriptions.

This will continue. Companies like Apple will have deep pockets to move on the businesses that go underwater and then can restart training in a much less congested market.

All this is assuming a relatively graceful collapse but that is what's likely given how aware everyone is that the bubble must pop.

Training costs will fall. Companies like Nvidia and other shovel businesses (i.e. selling GPUs and not using them) mostly have their revenue secured with funding from the present.

What I see as confirmations of this pattern is if we stop getting ground busting frontier models and then coast for 3-5 years when competition becomes more incremental.

This is an unpopular opinion, Will OpenAI go bust? No chance. Nor will Anthropic.
by kellkell | 2026-02-24 11:56:15+00:00
The "Sovereign Anomaly" Concept (2025-2026): Recent literature, such as the 2025 book CRIPIX 1: The Information Sovereign Anomaly, explores scenarios where a "superintelligent AI" encounters code it cannot process, labelling it an "out-of-model anomaly" and suggesting that owning information sovereignty allows entities to "bend reality".
by imtringued | 2026-02-24 11:56:54+00:00
I feel like this article is completely backwards in its premise. It is confusing labor intensity with cost. Software used to be an incredibly labor intensive industry with extremely low automation costs. The cost of running a computer and its associated development environment is so low that it is a rounding error. While you might pay a monthly subscription for an IDE, even that cost barely even registers and it only assists the developer's productivity by a double digit percentage at most.

Here is an illustrative example: Copy paste and traditional code generation features in IDEs (automatically generating getters, setters, hashCode, equals implementations and so on) only reduced the typing of boiler plate code with low cognitive load. This type of code was never very labor intensive to begin with, because it can be reduced down to the act of typing. These tools have made writing code cheap decades ago and you could have written a similar blog post about these tools, because the premise fundamentally misses the actual point.

The cost of writing code has never been an issue in this industry. Software developers don't spend their entire day writing code the same way car mechanics don't spend their day screwing bolts. If you send a car to a mechanic, the mechanic must first diagnose the issue. In some cases the preparatory work is all of the work.
Show HN: VidShift – Free video converter that runs in the browser
by jgillyon | 2026-02-24 11:57:47+00:00
I built a video converter/toolkit that processes everything locally in the browser using WebAssembly (via the Mediabunny library and WebCodecs).

No files are uploaded to any server. The whole thing is a static site on Cloudflare Pages. It even works offline via a service worker.

Tools included: format conversion (MP4/WebM/MKV/MOV/etc.), compression, trimming, video-to-GIF, MP4-to-MP3, mute, rotate/flip, speed change, and frame extraction.

Best experience is on Chrome/Edge due to broader WebCodecs support. Safari and Firefox work but have more limited codec coverage.

Would love feedback, especially from anyone who has worked with WebAssembly for media processing.
by zelphirkalt | 2026-02-24 11:57:53+00:00
I don't think our society is even remotely meritocratic regarding intelligence. Maybe it is meritocratic regarding psychopathy.

We merely have a few pockets, where the very brightest are rewarded. However going from average intelligence up to those pockets, there is a ton of people, who are clearly more intelligent than most others. Much more intelligent than the typical lie-your-way-through-life people, who haven't shown any significant skill, yet are elected by the masses.

OK, this is making it political, but it's true in many countries, if not most. The truly very intelligent people rather focus on their area of expertise, where not many other humans are able to understand what they are doing or able to achieve a similar result. Similar thing happens in businesses. Talkers rise in the hierarchies, doers who don't self-promote massively remain low in the hierarchies, in most businesses. I don't see many scientists becoming millionaires for advancing humanity. We don't recognize great skills and smart people collectively in many cases. We chase silly trends and make-believe.

I could see "meritocratic regarding intelligence" somewhat in the way that smart kids don't have many problems at school usually, and then later at university, and then can maybe get a well paid job. But that's where the meritocratic system ends. In the job world it's mostly about other things. Like how well people fake being social with their higher-ups. Or how they have less worries about lying about their abilities. Or how they promote first and foremost themselves, rather than everyone, who significantly contributed to some achievement.
by rustyhancock | 2026-02-24 11:58:01+00:00
Yes I agree. Altman was the rational choice if you realise that eventually the huge R&D bill will need to stop for atleast a moderate period (<5 years).

You want to ride that out before capitalising on the eventual cheaper training costs once the rug has been pulled.

Altman has already succeeded here as it seems inference for API and chat is profitable but offset with massive R&D costs.
by npodbielski | 2026-02-24 11:58:41+00:00
> however it's quite a lot of ongoing effort - it's not just set up and forget.

I have seen those kinds of opinions on internet already few times. No it is not that complicated.
Yes you need to buy server.
Yes you need to setup the DNS.
Yes you need to maintain, and update server and its software.
But this is like that with everything you selfhost.

Beside that you need mostly 1 time operations like:
- setup domain entries
- setup SPF
- setup DKIM
- setup certs
- install server (of course)
- test if this works
- setup some Google Postmaster account because they do not like new domains sending them emails

I do not remember anything else beside some administrative tweaks here and there. But!

I never attempted to run postfix, dovecot combo myself. I was aiming to run whole thing on Docker and forget about configuring dozens of config files on Linux host.
With docker you can just migrate whole set of volumes to new machine and that is it. I am running Mailcow BTW.

Lately I moved whole thing to new machine by just running one script https://docs.mailcow.email/backup_restore/b_n_r-coldstandby/...

On the other hand you need to have some technical knowledge, but I do not think this is harder then any other containerized software.
by disgruntledphd2 | 2026-02-24 11:58:47+00:00
> It does matter, for non-Americans, that America isn't the world police and doesn't dictate laws, norms and how other countries behave. Maybe it used to be relatively fringe to have this point of view, but last few years really vindicated this point of view, and I agree that many countries in the world should continue focusing on decoupling themselves from the US, this particular issue highlights one motivation for doing just so.

All of these (American driven) laws exist in basically every country at this point, and it's gonna be a struggle to remove them. Like, how would you even spin this as a good change?

I personally regard AML laws as problematic as they weaponise the financial system against its citizens with no democratic right of reply, but that doesn't change the fact that these laws exist basically everywhere and aren't going to be repealed.
by sfn42 | 2026-02-24 11:58:54+00:00
Where I grew up there wasn't any way to deal with those of us who did better. If you did worse there were all sorts of programs, they would move you to a separate small class so you could get extra help and stuff like that.

My problem was everything was too easy. I was bored. I would get reprimanded for not working because they gave us an hour worth of work, I finished it in 10 minutes and then did other stuff. I basically didn't have to study for anything, I just showed up and got Bs. If I put in 10% effort I got As. And all I ever got for it was yelled at for having done everything they asked me to do too fast.

So I started sitting in the back of the classroom minding my own business and trying not to be noticed. I'm convinced my life would have been very different if I hadn't been completely jaded from most of my teachers basically punishing me for being better than the rest. By my mid teens I didn't give a shit, I was happy coasting along doing better than the rest just by showing up.

My choices were my own and I'm doing pretty well now. Got my shit together in my late 20s and got a CS degree. Best decision I ever made. But I can't help but think I could have ended up on a path like this much earlier if my teachers actually supported me rather than treating me like a problem.
by deepdarkforest | 2026-02-24 11:58:55+00:00
Just wanted to say i think most interpretability research it's just a smoke show nowadays but this is actually the first one that i think has a very serious potential. I love that the SAE is actually constrained and not just slapped unsupervised posthoc.

How granular can you get the source data attribution? Down to individual let's say Wikipedia topics? Probably not urls?

Would be interested to see this scale to 30/70b
by remenoscodes | 2026-02-24 11:59:01+00:00
Yes! git-bug is the closest prior art, I reference it in the README's Prior Art section.

Three key differences:

1. Plain Git primitives — git-bug uses CRDTs with JSON operation logs. git-native-issue uses commits as events, Git trailers for metadata (same format as Signed-off-by), and merge commits for conflict resolution. No custom serialization.

2. Standalone format spec — git-bug's "format" is whatever its Go code produces. git-native-issue ships ISSUE-FORMAT.md, a standalone specification that any tool in any language can implement. The spec is the deliverable, not the CLI.

3. Simplicity — CRDTs are powerful but overkill here. Git already solves distributed conflict resolution with three-way merge. Why rebuild that in userspace?

git-bug validated that storing issues in Git refs works. I built on that lesson with a simpler data model and a spec-first approach.
Show HN: Runmon – every essential monitor in one place
by amansardana | 2026-02-24 11:59:20+00:00
Hey HN,

I've been building web apps for 6 years and the same pattern keeps
repeating: cron job silently fails → user reports it → I check logs →
job hasn't run in days.

The fix exists — heartbeat monitoring — but it's spread across 4 tools
that each cost as much as a full SaaS subscription. Cronitor for cron,
Hookdeck for webhooks, MXToolbox for email, BetterStack for uptime.
Most small teams skip half of them and find out the hard way.

Runmon is one place for all of it.

Starting with cron job monitoring because it's the most painful and
most ignored. Setup is 60 seconds — you get a ping URL, append
&& curl https://runmon.dev/{id}/ping to your existing cron, done.
No agent, no config files, no infra changes.

Webhook inspector, email deliverability, and uptime monitoring are next.

Waitlist at runmon.dev — would genuinely love to know which of these
has burned you before.
by midtake | 2026-02-24 11:59:37+00:00
Shit like that makes me cringe. Muh food. Already I know what kind of shallow life the author leads, one full of inessential frippery, whose discussions over dinner or drink never orbit anything actually substantial.

What shall we decide on the important matters of eating or drinking tonight fellow humans???

At this point I'm rooting for the AI models.
by simonw | 2026-02-24 11:59:48+00:00
> The cost of writing code has never been an issue in this industry.

What do you think of this part of Paul Ford's recent NYT essay?

> I was the chief executive of a software services firm, which made me a professional software cost estimator. When I rebooted my messy personal website a few weeks ago, I realized: I would have paid $25,000 for someone else to do this. When a friend asked me to convert a large, thorny data set, I downloaded it, cleaned it up and made it pretty and easy to explore. In the past I would have charged $350,000.

> That last price is full 2021 retail — it implies a product manager, a designer, two engineers (one senior) and four to six months of design, coding and testing. Plus maintenance. Bespoke software is joltingly expensive. Today, though, when the stars align and my prompts work out, I can do hundreds of thousands of dollars worth of work for fun (fun for me) over weekends and evenings, for the price of the Claude $200-a-month plan.

From https://www.nytimes.com/2026/02/18/opinion/ai-software.html?...
by thiago_fm | 2026-02-24 11:59:50+00:00
He was a prodigy, but I believe the average American would be surprised that almost all classes in China have a person like him, or even more.

His biggest talent though, I believe it's something more rare. He can get people excited about mathematics, make people dream and imagine.

We need more Terence Taos in this world, that can inspire others.
by noduerme | 2026-02-24 12:00:19+00:00
I'm a bit of an Apple optimist for this exact reason. I think the moat is collapsing, and Apple is best positioned to dispatch their own models in a year on their own widely sold consumer hardware, unless someone has a breakthrough which they can't replicate. Which I don't anticipate.

I'm not really sure what OpenAI's moat is. Anthropic has a chance being so widely accepted by developers, and being a bit better at developing models when it comes to code.
by TrackerFF | 2026-02-24 12:00:26+00:00
I don't know how much Flickr is used these days, but I remember it was quite popular some 15 years ago. I decided to search around, and discovered that it is a treasure trove of photos from the period 2005 - 2015, and incredibly easy to search / filter.

Internet archeology is something I've always found fascinating, and I don't think people realize how much data has been lost after we moved to the modern "big tech" internet of today. So many data hosting services disappear back in the mid/late 00s, and with that, the data too. After social media exploded, many just stared storing all their photos there.
by douknow | 2026-02-24 12:00:27+00:00
Hi HN, I’m the developer of Lucent.

I built Lucent because I was tired of the memory overhead of Electron-based utilities and the lack of native performance in modern productivity tools. I wanted something that felt like a natural extension of macOS—lightweight, private, and powerful.

Why AppKit?
While SwiftUI is the future, I chose AppKit for Lucent to ensure a locked 60fps experience and fine-grained control over system behaviors. Every detail, from the translucent UI to the media preview, is optimized for macOS.

Beyond Text History:
I often found myself needing to quickly resize an image or convert a video to a GIF for a report. Instead of reaching for a third-party app or fumbling with ffmpeg parameters, I integrated these tools directly into the clipboard.

Media Hub: One-click video compression and format conversion (powered by FFmpeg).

Developer Focused: When copying from Terminal or Xcode, Lucent renders code snippets as rich text, preserving the original syntax highlighting in the preview. It also offers instant color code copying for designers.

Privacy & Telemetry:
Your clipboard content is stored 100% locally. For product improvement, Lucent collects anonymous telemetry via Mixpanel and standard crash reports to help me squash bugs. However, no clipboard data or sensitive information ever leaves your machine. I’ve made sure that analytics are focused purely on app usage and stability, not your data.

The Sandbox Challenge:
Due to Mac App Store sandboxing, I had to overcome several hurdles regarding accessibility permissions. To restore seamless one-click pasting, I’ve also released a small, secure open-source helper on my website.

I’d love to hear any suggestions or feedback you have for the app. Thanks for checking it out!
by bananaflag | 2026-02-24 12:00:27+00:00
Well, this is the proposition the field of AI was founded on, that intelligence can be replicated by machines, it's not Sam Altman who "lost his grip". I know there are people in this world who believe humans are somehow special and non-materialist and non-replicable (it's a basic tenet of most religions), but this person doesn't advance or reference a single argument. The article is not very intellectually honest.
by lelanthran | 2026-02-24 12:00:33+00:00
> With AI lifting legacy code bases into Rust got a whole lot easier, and purging the blight of C from the world, excepting the most deeply embedded of applications, got a whole lot closer.

You probably don't realise this, but AI written Rust (or any language) will have much more undefined behaviour than human-written C.

AI coding brings non-determinism to every language; with AI, now every language can have Undefined Behaviour.
by Zobat | 2026-02-24 12:00:40+00:00
I wonder about the the service used for the test, never heard of Rapidata but if it's like Amazons mechanical turk och other such services there might be a problem where the respondents simply didn't care about reading the question. If the objective for the respondents were simply "answer this question and get your benefit" vs "answer this question correctly to get your benefit" I have no problem accepting the 71.5% success rate. If getting it right had benefits and getting it wrong had none then I'm (slightly) worried.
by brazzy | 2026-02-24 12:00:50+00:00
I don't hate it, but I suspect that incentives this would generate would not end up producing results that strictly align with the ones you envision and desire.

For one thing, you're essentially mandating data centers to be colocated with power plants and waste water treatment plants, instead of these things each being located independently according to the requirements of their different functions. If that really leads to "ridiculously high reward", why isn't it being done already?
by IshKebab | 2026-02-24 12:01:15+00:00
> Also, Ubuntu using a non-GPL licensed userland means they can pull all kinds of tricks to allow more TiVoization in the Linux ecosystem.

Can we stop this conspiracy nonsense? They have explicitly stated that licensing was not a motivation, and even if you think they're lying it wouldn't make any sense anyway! No Tivoization is foiled by Coreutils being GPL. That's ridiculous for so many reasons, not least you can just use the BSD versions, as Apple does (and they still release the source code!).
by Malcolmlisk | 2026-02-24 12:01:34+00:00
Usually, some people change their .env files in the root of the project to inject the credentials into the code. Those .env files have the credentials in plain text. This is "safe" since .gitignore ignores that file, but sometimes it doesn't (user error) and we've seen tons of leaks because of that. Those are the variables and files the llms are accessing and leaking now.