MurphyA/hacker-news huggingface dataset:
by rubenvanwyk | 2026-01-17 05:01:24+00:00
This should be the top comment. The thing about growth of businesses overall, is that they want outsourced capacity (that’s what employees or contractors are) and that dynamic doesn’t go away because of AI, because like the comment mentioned, it’s not reliable enough in the sense that it can accept high-context vague instructions and ‘figure it out’ like an enterprise developer can.
by mamcx | 2026-01-17 05:03:16+00:00
Yeah, this is how we survive.

I even dream of build tools for business to make apps (like Air table, but better) and even if you can do anything that do, perfectly, the software they need not means they want to babysit it all the time.

Is like the person that knows how cook, amazingly, yet hire a chef for take care of it most days.
by sentinelowl | 2026-01-17 05:05:53+00:00
Hey HN,

I built LILITH, an open source ML weather prediction system that runs on consumer hardware. The model trains in 15 minutes on an RTX 3060, the checkpoint is 22MB, and inference takes under a second.

THE PROBLEM

GraphCast, Pangu-Weather, and similar models are impressive but require: - ERA5 reanalysis data (controlled by ECMWF) - 80GB+ VRAM for inference - Institutional-scale compute

Meanwhile, NOAA’s GHCN dataset has 100K+ weather stations, 150+ years of data, completely public domain.

THE APPROACH

Instead of requiring gridded reanalysis, LILITH learns directly from sparse station observations:

Transformer encoder on 30 days of historical data
Autoregressive decoder for multi-day prediction
Multi-timescale rollout: 6h steps for days 1-14, daily for 15-42, weekly for 43-90
Climate signal injection (ENSO, MJO) for extended range
Total parameters: 1.87M. You could email the checkpoint.

RESULTS

Trained on 915K sequences from 300 US stations: - Temperature RMSE: 3.96C - Temperature MAE: 3.01C - Climatology baseline is ~7C RMSE

For context, this beats just predicting historical averages, though it is not GraphCast-accurate for short range. The value is accessibility, not beating ECMWF.

HONEST LIMITATIONS

Days 1-7 are worse than operational models
90-day “forecasts” are really climate outlooks, not weather predictions
Currently US stations only
No ensemble/uncertainty quantification yet
TECH STACK

PyTorch 2.x with Flash Attention
FastAPI backend
Next.js 14 frontend with glassmorphism UI
Trains on 8GB VRAM with mixed precision
The frontend has interactive 90-day charts, a station command center showing all 300 stations with predicted vs actual temps, and historical data exploration.

WHY IT MATTERS

Weather prediction has been an institutional monopoly. The data is public, consumer GPUs are powerful enough, and transformer architectures are well understood. There is no reason useful forecasting should be locked behind institutional walls.

Would love feedback on the station-native approach vs requiring ERA5, and whether the multi-timescale rollout makes sense for extended range.
by jongjong | 2026-01-17 05:06:24+00:00
I would strongly recommend staying away from software startups unless:

- The CEO of some major corporation or a big VC is a close friend or friend of your family.

- You are rich and have a lot of friends who will buy your product.

- You already finished the MVP; which you started building 12 years ago... Might as well try to complete.

- You're a criminal.

The market is insanely saturated and people already have more stuff than they need. Capitalism has been over since 2008. Now it's just feudalism. Product is irrelevant; it's all a social game of selection. You have to be selected. You just need to know someone and have a product with a semi-reasonable narrative that your CEO buddy can use as a justification to give you company money. That's it.
by bitjaru0402 | 2026-01-17 05:07:24+00:00
Hey HN,

I built this after getting frustrated with Claude Code forgetting everything between sessions.

*The problem:* Every new session, AI has no memory. You end up re-explaining architecture, past decisions, why you chose X over Y. Gets old fast.

*What CodeSyncer does:* Records AI decisions as comment tags directly in your code.

```typescript
// @codesyncer-decision [2026-01-15] Chose sync over async (UX feedback)
// @codesyncer-inference Min $1 (Stripe policy)
async function processPayment(amount: number) { ... }
```

Next session, AI reads the code and instantly knows the context. No re-explaining.

*Setup:*
```bash
npx codesyncer init
npx codesyncer watch
```

*Why not just use CLAUDE.md?*
CLAUDE.md is great for rules ("use TypeScript strict mode"). But it doesn't capture why specific code was written a certain way. CodeSyncer stores that context where it belongs—in the code itself.

*Similar project:* Steve Yegge's Gas Town (https://github.com/steveyegge/gastown) solves this for teams with 20-30 agents. CodeSyncer is the solo developer version—simpler, 5-min setup.

Would love feedback, especially:
- Does this solve a real problem for you?
- What's missing?
- Any concerns with the approach?
by eru | 2026-01-17 05:07:28+00:00
And the (original) certification itself isn't all that important:

You can check what needs to be fixed with them now (if anything) and do the renovations to keep them working. As long as the basic design is still considered save today, and as long as maintenance and running costs are well below the revenue you make.

The biggest expense in nuclear power is building them. And a really big part of that exploding cost is in all the dark rituals you have to engage in to placate public opinion. (Like excessively long safety reviews and whatnot.)

If you take an existing nuclear reactor, the status quo works in your favour. Even in the unlikely scenario where your renovation essentially replaces the whole thing (so from an engineering point of view, you might as well build it from scratch), renovation might still be the wise choice exactly because of status quo bias in the population.
by AIorNot | 2026-01-17 05:08:19+00:00
People have been building low code or modular software components for decades - at all layers of the software stack- eg compilers, languages, frameworks, libraries, components, platforms, extensions, you name it..

Just some examples over the years

Odoo, flutter, eclipse, enterprise java beans, wpf, n8n, package manager based approaches, microsoft power apps, app builders, supabase,

Which one is ikea?

software is an abstract quantity dependent on nothing but human whim, tech progress, and popularity and cost to build, and changes year over year - you cannot build a ikea like collection or library of components when everything changes year over year like a house or sand and no one agrees on anything

Now if you could pick and choose a few things and have a CRUD app maybe -but most people have reqs that need specific workflowsand that breaks the analogy

To me, AI iteration is biggest revolution of the past few years- ai might allow fuzzy modifications to largely built stacks to work something like an ikea style approach
by CamperBob2 | 2026-01-17 05:09:04+00:00
Those are both good benchmark prompts. Z-Image Turbo doesn't like them either:

Tiger on pogo stick:
https://i.imgur.com/lnGfbjy.jpeg

Dunno what this is, but it's not a pogo stick:
https://i.imgur.com/OmMiLzQ.jpeg

Nano Banana Pro FTW:
https://i.imgur.com/6B7VBR9.jpeg
My daughter's boyfriend gave me a custom keyboard? I don't like it. What now?
by 0xWTF | 2026-01-17 05:09:44+00:00
I mean, obviously, I said many nice things about it and accepted the gift. It's got a sort of D&D kinda theme. But It's a Windows layout and I use a mac. I'm not even sure I could convert it to Mac style if I wanted to (three keys left of space, not 4 like mac)
by w10-1 | 2026-01-17 05:09:57+00:00
Ask yourself: for politicians who know they are on their way out, what prevents them from selling out what power they have? I doubt any have a sufficiently inflated sense of self, and most likely know how to do so nowadays without getting caught.

Sure, we want to elect good people. But relying on their goodness invites moral hazards like this. Everything that makes them an effective politician also makes them an effective criminal, so the question is hardly academic.
by dragonwriter | 2026-01-17 05:11:24+00:00
> The two-party system is fine.

No, its not, as anyone who has paid even a slight amount of attention to the study of comparative government among modern nominal representative democracies would recognize.

> We have to be honest about the fact that parliamentary systems can give massive power to a tiny fraction of the population when that small party becomes the deciding vote.

Parliamentary systems can be two-party and multiparty systems do not need to parliamentary, so you are starting with a false dichotomy. And the problem you describe is less often a problem with multiparty systems (parliamentary or otherwise) than two-party systems, because the reliance on ad hoc coalitions means that there is much more likely to be the option of replacing a faction that is leveraging its marginal role in creating a majority to wag a coalition that is a small part of, whereas a small faction within a major party in a two party system that is crucial to maintaining a partisan majority cannot practically be defied without the rest of the party surrendering its majority, giving it much more power than a minor coalition partner in a multiparty system.

(Parliamentary or semi-presidential systems are also generally better than presidential systems, but that's a whole different issue from the multiparty vs. two-party issue.)

> The problems with the USA political system are: electoral college, senate being 2 votes per state, and the supreme court being 7 people for life.

The first two of those are also problems (though actually being a Presidential system is a bigger problem, and a problem without which the electoral college would be moot.) The third is simply inaccurate.

> But nothing can be done about the last two now. Especially now that the Supreme Court made a decision limiting how amendments can be ratified.

The Supreme Court decision on how amendments can be ratified (basically, however Congress decides) does not substantially limit what amendments can be passed. And it is the first two are set in the Constitution, the third (even using the correct current number of 9) is not, and can be changed (that the Supreme Court exists and that federal judges have lifetime tenure as federal judges are set in the Constitution, the number of seats on the Supreme Court, whether that number is fixed or floating over time, and the tenure of judges on the Supreme Court separate from their tenure as federal juddges is not; all of those can be changed by statute. If Congress wanted to make Supreme Court justices appointed for a fixed term of years from among the set of lifetime federal judges, that would be possible. If Congress kept lifetime tenure for justices, decided to have one appointed every 2 years regardless of the current size of the court, and have the Chief Justice appointed for 4 year terms from among the sitting justices, that would work too.)
by ramoz | 2026-01-17 05:11:30+00:00
I got bombarded this morning. I woke up and checked my X-account - which I've never tweeted from before (other than replies) - it was being tagged everywhere and I had a ton of messages. I was sent a link to Bags app. And there was some wallet with a decent amount of Solana attributed to my Twitter identity.

Not a single one of the people messaging me had actually used my open source repo.
by yieldcrv | 2026-01-17 05:11:30+00:00
> Some crypto trader created a “$GAS” coin via Bags, configuring it to pay a portion of the trading fees to Steve Yegge (via his Twitter account)
That trader, or others with the same idea, messaged Yegge on LinkedIn to tell him about his “earnings” (currently $238,000), framing it as support for the Gas Town project. Yegge took the free money and started posting about how exciting $GAS is as a way to fund open-source software creators

hey guys, this is what always happens when someone you respect "rugs" their token and none of their apologies sound genuine

in fact, they actually are also the victims and the real culprits (the token creators DMing popular people) are never held to account

there should be more knowledge of this so people feel deterred and also more likely to avoid these or bring the roving bands of scammers to account

and sure, still hold your community leader accountable in some way, but the proper way more in line with reality

these roving bands of token scammers look for people experiencing 15 minutes of fame, and take advantage of them
by pankajdoharey | 2026-01-17 05:11:37+00:00
There should be a law that lawmakers can only be scientific people when it comes to science, i.e scientist's and engineers not humanities or arts majors. These people take decisions which are absolutely absurd. The entire western world has stockpiles of plutonium which is not going to be used for anything other than mutual self destruction. Because of these anti nuclear activists types the western hemisphere has trillions of dollars energy locked in the plutonium bombs, that could have been used in Fast breeder reactors and would have benefitted humanity.
by defrost | 2026-01-17 05:11:47+00:00
Horizontal directional drilling costs $10 to $30 (USD) per linear foot with upfront fixed costs of $30K or so.

How does that compare to building above ground towers to support cable weight in all conditions?

I'd assume / guesstimate that route planning, community advisement, actual cable length, etc. costs are more or less the same in either case.
by cyber_kinetist | 2026-01-17 05:12:55+00:00
I think the real conclusion is: someone has to make a native cross-platform desktop UI framework that doesn't suck. (Yeah Qt exists, but it really sucks...) Until then, everyone will default to just using the browser for a desktop app, and the beatings will continue.

Because of this, I'm really looking forward for PanGUI to step up (https://www.pangui.io/), their UI framework is very promising and I would start using it in a heartbeat when the beta actually releases!
by Tanoc | 2026-01-17 05:13:14+00:00
With content creation platforms there is absolutely no way one person or even ten people at the highest levels could kill them by leaving. In fact, as has been shown on Youtube and Twitch it usually makes the platform healthier because there's not one monolith to develop a strategy around bootlegging from. There have been several dozen gargantuan channels and several hundred giant channels on Youtube who have either left or just stopped uploading and Youtube still carries on. Youtube isn't carried by the Mr. Beasts and FailArmies who grab forty million views an upload, it's carried by thousands of smaller channels who get less than a million views per video. With places like Reddit, Tumblr, and Imgur there are no giants, as everything is siloed so much that users in one community don't know much of what's outside that community, making it impossible for a handful of creators leaving to kill it.
by mikodin | 2026-01-17 05:14:06+00:00
I essentially do a 1 click deployment for my personal site with Cloudflare.

I don't want to deal with the cloud infra for my personal site.

I could, I've done it in corporate, I've done it for my startup 2 years ago.
But I'm rusty, I don't know what the latest people are using for configuration, etc.

Because there is 1 click with CF or Vercel and I don't have to think about it—I don't.
If they increase their price it likely wouldn't be enough friction for me dust off the rust.

I think this is the relation.
I'm not locked in, it's just HTML pages, but I am through my own habit energy, tech changing, and what I want to put effort into, which is not infra and serving my site.
by ramoz | 2026-01-17 05:14:15+00:00
https://bags.fm/ - learned of this site this morning, and you can see the creators that are tagged to their royalties. It does seem that some of them are achieving quite high numbers here. They seem to be actively participating in the advertising.

My repository was tagged in this morning, and I did nothing. Now I have a wallet with 4,000 some crypto in it.
by datsci_est_2015 | 2026-01-17 05:15:01+00:00
This brings to mind some of the “darker” subreddits that circle around drug abuse. I’m sure there are some terrible stories about young people going down tragic paths due to information they found on those subreddits, or even worse, encouragement. There’s even the commonly-discussed account that (allegedly) documented their first experiences with heroin, and then the hole of despair they fell into shortly afterwards due to addiction.

But the question here is one of liability. Is Reddit liable for the content available on its website, if that content encourages young impressionable people to abuse drugs irresponsibly? Is ChatGPT liable for the content available through its web interface? Is anyone liable for anything anymore in a post-AI world?
by car | 2026-01-17 05:16:12+00:00
This [1] autobiographical graphic novel describes one other attempted balloon escape from the GDR in 1977, but it was thwarted at the last minute.

It is a powerful book, quite chilling as it describes life under the totalitarian puppet government of East Germany. I also often found it eerily reminiscent of our current times.

I can highly recommend it, both for the suspenseful narrative and great visual storytelling. A great read for HS/college kids that are into history too.

[1] https://store.bookbaby.com/book/time-zones

[2] Authors website: https://www.svensiekmann.com
by FireBeyond | 2026-01-17 05:16:19+00:00
Spotify keeps approximately 30% of subscription and ad revenues.

The remaining approximately 70% goes into one big pool.

That pool is distributed based on share of total streams.

So if there are 1 trillion streams total and an artist gets 1 billion of them, they get 0.1% of the entire payout pool.

You are not paid by your listeners — you are paid in proportion to everyone else’s listening.

So if you pay $10/month and listens only to niche artists:

- your money still goes into the global pool

- it is mostly paid out to Drake, Taylor Swift, Bad Bunny, etc.

- even if you never listen to them
by tartoran | 2026-01-17 05:16:37+00:00
Just force an AI label on it and that's that. Whoever wants to listen to it at least don't get tricked into thinking it has to do with a real person behind it. Some people don't care, others do. Right now when I'm tricked into listening to something AI made I feel deceived for wasting time on it though I can still tell realize it's AI. If it wasn't for this deception part Im okay with it being out there, simply labeled AI if it's AI generated.
by atrus | 2026-01-17 05:16:46+00:00
Good luck. To have something that a regular family could use would require remote access from the company for troubleshooting, updates, maintenance.

So you get all of the downsides of cloud hosting (company employees can still remote in), with none of the upsides (all the hardware is now geographically distributed, instead of one big building) with the privilege of paying for it instead of being "free" like facebook/google.
by ca1f | 2026-01-17 05:17:06+00:00
It really is not. This is misinformation spread mostly by the right winged party in germany and conservatives to some extent to.

Electricity in Germany can look expensive at first sight if you're quoting legacy household tariffs that many existing customers are still on, because they never switch provider / tariff. But that's not representative of what people pay if they sign a new contract today: the market for new contracts is typically several cents/kWh cheaper than those old existing tariffs stuck at their higher prices.

So "Germany has the highest electricity prices" is at best an incomplete claim, it depends heavily on which tariff cohort you refer to (legacy vs new contracts, default supply vs competitive offers), and people on the internet somehow always fall for this, often picking the worst bucket to make a political point.

Sources: https://www.zeit.de/wirtschaft/energiemonitor-strompreis-gas...

Unfortunately it's in german but my point stands: for new customers in germany the price per kwh is even lower than what france pays on average.
by 4mitkumar | 2026-01-17 05:17:51+00:00
Probably those SAP, Salesforce ServiceNow folks come somewhat closer?

Like the author says - fleet-tracking system, a bus-ticketing platform or IoT platform share some basically similar requirements. And this is what those SAP types offer - standardised templated versions of workflows.

But slowly, as they get more and more standardised, they start feeling like calcified systems that the end users start hating. Because they are now forced to work as per the templates.

And then the need for customization. And move beyond IKEA-like standardization.

But I see the allure of the idea.
by teoriket | 2026-01-17 05:18:25+00:00
You are not going to act with your emotions while you are an police officer.

Watch the whole clip first and third POV, you do not need the read the thoughts of a dead woman. If you try to run over an officer you are going to see some consequences, doesn't matter if you are a mother or father.

If you’re gonna keep bringing up how a couple of ICE agents broke the law, fine, whatever.
by jakelazaroff | 2026-01-17 05:19:01+00:00
From the article:

> Bags seems to me to be offering crypto-airdrop-pump-and-dumps-as-a-service, where niche celebrities can turn their status as respected community figures into cold hard cash. The people who pay into this are either taken in by the pretense that they’re sponsoring open-source work (in a way orders of magnitude less efficient than just donating money directly), or by the hope that they’re going to win big when the coin goes “to the moon” (which effectively never happens).

Honestly, I think the first category is somewhere between "microscopic" and "nonexistent", but most people in the second category will end up holding the bag when this thing inevitably collapses.
by KetanKhairnar | 2026-01-17 05:19:09+00:00
Been running my technical knowledge base on Astro for about a year now (ketankhairnar.com). Congrats to the team on the acquisition - here's what stood out from a product/engineering perspective:

Content modeling that actually scales. Built a three-tier system: Concepts (foundational knowledge) → Deep Dives (series-based learning paths) → Systems (production case studies). Each concept tracks prerequisites, related topics, interview relevance by level (L5-L8), and links back to which deep dives use it. Zod validates everything at build time. This isn't a blog template - it's a knowledge graph with static output.

Islands architecture delivers on its promise. React hydrates only for search (Fuse.js across all content types) and a few interactive bits. Rest is zero-JS HTML. Coming from years of Next.js, the bundle size difference is stark. Users on flaky mobile connections notice.

Extensibility without framework lock-in. Wrote a custom Shiki transformer for ASCII diagram highlighting - ERROR renders red, FIX green, DECISION orange. Dynamic OG images generated at build via Satori+Resvg. No Lambda cold starts, no external services, just static assets. Infra cost: basically zero.

View Transitions shipped before others figured it out. One import, smooth page transitions. Small detail, big UX lift.

Where it gets tricky: Complex content relationships require multiple getCollection() calls and manual joins. Works fine, but a query builder would help for sites with heavy cross-linking. Also, the content layer is powerful but documentation assumes simpler use cases.

Product observation: Astro found a real gap - content sites that need occasional interactivity but don't want SPA overhead. Most frameworks optimize for apps and retrofit content. Astro did the opposite and it shows.

Curious how Cloudflare integration plays out. Edge rendering + this content model could be interesting for personalization without sacrificing static performance.