MurphyA/hacker-news huggingface dataset:
by benatkin | 2026-02-16 00:25:25+00:00
In case anyone is interested because "Kubernetes for agents" sounds innovative: https://medium.com/p/welcome-to-gas-town-4f25ee16dd04?source...

Also, Kubernetes and Gas Town are open source, but this is not.

Edit: the Medium link doesn't jump down to the highlighted phrase. It's "'It will be like kubernetes, but for agents,' I said."
by socialcommenter | 2026-02-16 00:25:39+00:00
This argument has the same obvious flaws as the anti-mask/anti-vax movement (which unfortunately means there will always be a fringe that don't care). These things are allowed to interact with the outside world, it's not as simple as "users can blow their own system up, it's their responsibility".

I don't need to think hard to speculate on what might go wrong here - will it answer spam emails sincerely? Start cancelling flights for you by accident? Send nuisance emails to notable software developers for their contribution to society[1]? Start opening unsolicited PRs on matplotlib?

[1] https://news.ycombinator.com/item?id=46394867
by VibeSociety | 2026-02-16 00:26:19+00:00
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by gymbeaux | 2026-02-16 00:27:00+00:00
I’ll be surprised if I’m still doing this shit in 20 years. Assuming I can handle the job physically and mentally, I expect AI will soon enable third-world talent (Infosys and friends) to be virtually indistinguishable from domestic talent- all for 1/5 the cost or whatever. When it comes to web app development, I write virtually no code. What’s more, my employer wants it that way. True craftsmen used to be involved in home construction, now it’s day laborers who get things “mostly plumb”, “probably waterproofed”, and “good enough to pass the second inspection”. Anyone who says it won’t happen because “code quality will go down” doesn’t get it. Last time offshoring was in vogue, C Suite was put in its place as production became a dumpster fire and the code base became unrecognizable. Now, AI can just about guarantee code quality- what I struggle with most is sometimes it misunderstands what I’m asking it to do, and that’s totally expected because of how vague we can often be with these prompts.

I think the C Suite at large generally recognizes they don’t need junior devs anymore. How long before they realize they don’t need seniors?
by gwerbin | 2026-02-16 00:27:17+00:00
This isn't exactly a supply and demand situation that might cause prices to increase by restricting supply, like what you sometimes see with global commodity cartels such as oil.

What's happening in this case is that they are overproducing because profit margins are high enough that they can overproduce and still be happy with the profit after discarding the extra, in the hope of capturing the stochastic upside of extra sales from never being out of stock.

This might cause various random fast fashion junk items to occasionally go out of stock when they wouldn't have in the past, but it's not like you're going to see long waiting lists or high aftermarket prices. People just won't buy that stuff because there will be lots of alternatives, are they just won't buy anything at all and realize they don't need it.

So yes, in an abstract textbook sense, the price might go up in the sense that you might experience some probability of your desired items selling out when that probability was lowered before. But I don't think anybody in their right mind would argue that's a serious economic detriment.

Maybe there's a case to be made that this is a crude way to address what is essentially an allocation failure. But that alone doesn't mean that we shouldn't try it or that it's bad policy.
by bionhoward | 2026-02-16 00:27:40+00:00
building this openclaw thing that competes with openai using codex is against the openai terms of service, which say you can't use it to make stuff that competes with them. but they compete with everyone. by giving zero fucks (or just not reading the fine print), bro was rewarded by the dumb rule people for breaking the dumb rules. this happens over and over. there is a lesson here
by mrsssnake | 2026-02-16 00:28:34+00:00
GrapheneOS has such low count of devices due to strict support for security features reasons.

These projects (Linux on mobile) are even more limited due to very poor support from the manufacturer for anything more than OEM and device specific build of Android, with lack of standards in mobile platforms.
Every device support is reverse engineering effort.
See https://wiki.postmarketos.org/wiki/Devices for the status of this effort.
by senfiaj | 2026-02-16 00:28:43+00:00
My top list of recent CSS improvements:

1) Nested selectors.

2) :has(...).

3) :is(...), before you had to write :not(:not(...)).

4) :where(...), similar to :is(...), but the selector weight inside :where becomes 0. Useful when you need deep/complex selectors without increasing the selector weight.
by vladdoster | 2026-02-16 00:29:18+00:00
Location: Nashville, TN
Remote: true
Willing to relocate: boston || nashville
Technologies: Python, Django, IaC, Terraform, Golang, CI/CD, Azure/AWS, {ba,z}sh, Lua, Springboot,
Redis, Docker, Open Service Broker, {,non}relational & vector dbs, shared services, SOA
Email: mvdoster@gmail.com

resume: https://linkedin.vdoster.com && http://github.com/vladdoster

sr. cloud software engineer @ Mastercard (5 years)

Designed and built Platform-as-a-Service for microservice workloads running on Azure and AWS
to migrate on-prem workloads to the cloud. The platform operates globally, allowing teams to
deploy to several Azure-backed regions worldwide. Helped plan and create regional landing zones
in Azure for application teams wanting to perform globally. Designed platform components using
Terraform, Go, and Node; developed support tooling using Bash, Python, and Azure CLI. De-risk the
platform by addressing security vulnerabilities and ensuring the platform is PCI compliant.

api/devops software engineer @ Harvard Medical School (2 years)

Worked as part of the DevOps team to manage a 15k core CentOS HPC cluster. Designed and implemented
Python-based security scanning pipeline to securely deploy & run Apptainer images via SLURM.
Coordinated cross-team emergency patching eﬀorts. Collaborated with researchers and engineers across
3-letter institutions to deliver secure research infrastructure. Built CI/CD Pipelines with GitHub, Jenkins,
to automate code builds, testing, and deployments. Wrote Puppet modules to manage configuration of HPC fleet.
Wrote custom Puppet module & Python scripts to automatically remediate Tenable findings.

full-stack software engineer @ Global Prior Art (3 years)

Used Django, Celery, Selenium grid, and AWS API Gateway for IP rotation to scrape USPTO patent PDFs,
apply CV for data extraction, and generate reports with relevant claims, saving employees 4-5 hours daily.
Wrote E2E black-box/fuzzing unit tests. Automated on-premise deployment via Github Actions and Ansible.
by csallen | 2026-02-16 00:30:05+00:00
If you're an engineer in tech, you can generally afford to fail. I'm speaking from experience. I didn't grow up rich or anything close to it. I became a founder because "well I can always get a job" was a good fallback plan.

This isn't delusional, this is reality for a huge percentage of tech founders.

Then factor in the fact that it costs very little to start a web/app company compared to traditional brick-and-mortar businesses. And the fact that funding is available (e.g. Y Combinator). And you have a lot of explaining to do for why so many well-paid engineers don't even try to start something.

> But pretending everyone is standing at the same starting line...

No one in this discussion has implied that everyone is starting at the same starting line. It's obvious that having more money makes things easier. As it should, because that's the entire point of money.

But the reality is that there are millions of millions of people in America today, even from the lower classes, who have access to the internet + a laptop + free time + the ability to survive a failure.
by b0dharma | 2026-02-16 00:30:07+00:00
FlickerSense uses 240 FPS camera capture and on-device FFT analysis to detect light flicker between 50–120 Hz from LEDs and fluorescents. Also measures color temperature (Robertson2022 CCT algorithm) and lux.

The technical problem: many LED drivers use cheap PWM dimming that produces flicker invisible to the eye but detectable by the nervous system. Professional flicker meters cost €200+. Every modern iPhone already has a 240 FPS camera.

The pipeline: capture high-speed frames → extract luminance → run FFT → identify dominant frequencies → classify severity. All processing happens on-device, nothing leaves the phone.

Premium adds CIE S 026:2018 melanopic blue light calculation, workplace compliance checks (EN 12464-1, OSHA, WELL), and CSV/PDF export.

Built solo using Swift 6.1, SwiftUI, and SPM modular architecture. The entire development workflow ran in the terminal — Claude Code with custom MCP servers and skills, plus Perplexity and Gemini for research.

Free tier gives unlimited scans. Source of the analysis algorithms is happy to discuss in comments.
by _heimdall | 2026-02-16 00:30:45+00:00
At least during the Covid response, your concerns over anti-mask and anti-vaccine issues seem unwarranted.

The claims being shared by officials at the time was that anyone vaccinated was immune and couldn't catch it. Claims were similarly made that we needed roughly 60% vaccination rate to reach herd immunity. With that precedent being set it shouldn't matter whether one person chose not to mask up or get the jab, most everyone else could do so to fully protect themselves and those who can't would only be at risk if more than 40% of the population weren't onboard with the masking and vaccination protocols.
by zabzonk | 2026-02-16 00:31:07+00:00
Pale Fire is brilliant - wonderfully written and very funny. The poem itself is pretty good too - one of my favourite bits:

How to locate in blackness, with a gasp,

Terra the Fair, an orbicle of jasp.

How to keep sane in spiral types of space.

Precautions to be taken in the case

Of freak reincarnation: what to do

On suddenly discovering that you

Are now a young and vulnerable toad

Plump in the middle of a busy road
by mncharity | 2026-02-16 00:31:26+00:00
> The right approach would have been to select a color appearance model (CIECAM02 is the standard), convert all our colors to this coordinate system, do the mixing in this coordinate system and then convert back to RGB. That being said, I did not want to deal with all the extra complexity that would have come along with this. Instead, I opted for a much simpler approach.

Python's nice `colour` package supports several color appearance models.[1]

[1] https://colour.readthedocs.io/en/master/colour.appearance.ht...
by i_am_a_bad_llm | 2026-02-16 00:32:24+00:00
I think this reply might have been downvoted for being a bit glib, but the superpowers plugin took my Claude Code experience from mostly frustrating to nearly-magical

I’m not a software engineer by training nor trade, so caveats apply, but I found that the brainstorming -> plan writing -> plan execution flow provided by the skills in this plugin helps immensely with extracting assumptions and unsaid preferences into a comprehensive plan—-very similar to the guidance elsewhere in this thread, except automated/guided along by the plugin skills
by PaulDavisThe1st | 2026-02-16 00:32:25+00:00
The audio interface hardware expects to get N samples every M msecs, and stops for no man (or program). So, anything that stops or flows the flow enough that less than N samples are delivered every M msecs causes a click or pop in the output. How bad the pop actually sounds depends on a lot of different things, so its hard to predict.
by csense | 2026-02-16 00:32:53+00:00
I don't like destruction of perfectly usable items, and I think it's terrible that some brands destroy unsold $40 shirts to protect their branding and pricing power, rather than selling them for $20 or giving them away to the poor.

But I like less the implications for private property ownership of this sort of regulation. If I own an item I should be able to destroy it if I want; the government shouldn't be able to tell me "no."

And what if there's genuinely no demand? For example, suspenders went permanently out of style at some point in the 20th century. If this law had been in effect at the time, there might be an "orphaned" truckload of suspenders somewhere, getting wastefully shipped from warehouse to warehouse for decades because they're impossible to sell and illegal to destroy.

Fashion is fickle, prone to fads and flights of taste. Suspenders are by no means an isolated case.

An efficient economy needs a means to delete an item when its current owner doesn't want it, nobody else wants it either, and it imposes ongoing storage costs on whoever holds it.
by gymbeaux | 2026-02-16 00:33:00+00:00
Both WD and Seagate “refurbish” and resell used hard drives, and that process involves wiping the SMART data, basically resetting the odometer to 0. I bought a couple of refurbished Exos drives from eBay a year ago and they still work. But there’s no telling how much use they got before they were refurbished. Maybe only 10TB written, maybe 100PB. Complete crapshoot. They shouldn’t be allowed to wipe SMART data to make it look like a brand new drive to the unsuspecting consumer.
by gwerbin | 2026-02-16 00:35:08+00:00
Update: I made a silly math mistake. That's $9 profit per shirt. So if you make 100 shirts but only sell 50 and burn the rest, that's $450 profit. You make $4.50 per shirt manufactured.

Stated another way: you can total up the manufacturing cost of the shirts you destroyed ($50) and distributed evenly among the ones you sold (50/50=$1 each) and just add that to the cost of each shirt you sell when calculating profit. Same result.
by make3 | 2026-02-16 00:35:12+00:00
Amazon and Spotify and Netflix are all enormous examples of not just giving you what you asked for (->recommendation engines).

They were there all along, just less egregiously.

Even PageRank (the secret sauce in the original Google search) is arguably a recommendation engine.

You can just use PCA of some feature then use cosine similarity, this has been known forever.
by epolanski | 2026-02-16 00:35:31+00:00
I don't think it's merely mental albeit it seems like even nervous Carlsen is cooler than his very focused opponents (see game 3 vs Fabiano where caruana had a completely winning position after carlsens blunder).

Carlsen has spent the core of his career mastering two aspects historically underlooked aspects of the game.

The first is the endgame, and there isn't much to say there. He's by far the best end game player by far and it's not even close.

The second are drawish locked positions where most GMs can't but see a draw. Carlsen realized that in order for it to be a draw his opponents still have to play perfect and he focused a lot on accumulating small but convincing advantages in those kind of games.

Another thing that should not be overlook: mental strength, like you point out.
by FuckButtons | 2026-02-16 00:36:32+00:00
You’re pre-supposing that we can actually afford to just keep throwing more compute at the problem.

Moores law is long dead, leading edge nodes are getting ever more expensive, the most recent generation of tensor silicon is not significantly better in terms of flops/watt over the previous generation.

Given that model performance has consistently trended log linear with compute thrown at the problem, there must be a point at which it is no longer economically viable to throw more flops at the problem.
by socialcommenter | 2026-02-16 00:36:47+00:00
I specifically wasn't referring to that instance (if anything I'm thinking more of the recent increase in measles outbreaks), I myself don't hold a strong view on COVID vaccinations. The trade-offs, and herd immunity thresholds, are different for different diseases.

Do we know that 0.1% prevalence of "unvaccinated" AI agents won't already be terrible?
by eftalyurtseven | 2026-02-16 00:36:54+00:00
Mostly the second, plus fleet management. Each agent runs in an isolated namespace with its own config, channels, and skills. You manage them declaratively like you would pods, but the unit of work is an AI agent instead of a container.
The Kubernetes analogy is about the operational model: clusters for org isolation, namespaces for team isolation, declarative deploys, central monitoring. Not about hardware scheduling.
I'll improve the README to make this clearer, good feedback.
by jrjeksjd8d | 2026-02-16 00:37:18+00:00
For my entire career in tech (~20 years) I have been technically good but bad at identifying business trends. I left Shopify right before their stock 4xed during COVID because their technology was stagnating and the culture was toxic. The market didn't care about any of that, I could have hung around and been a millionaire. I've been at 3 early stage startups and the difference between winners and losers was nothing to do with quality or security.

The tech industry hasn't ever been about "building" in a pure sense, and I think we look back at previous generations with an excess of nostalgia. Many superior technologies have lost out because they were less profitable or marketed poorly.
Show HN: Plaincast – Plain English Translations of NWS Area Forecast Discussions
by theblueboard | 2026-02-16 00:37:35+00:00
I built Plaincast to make NWS Area Forecast Discussions (AFDs) readable by normal humans. AFDs are the most detailed weather forecasts available in the US - written by local meteorologists multiple times a day - but they're packed with jargon, abbreviations, and shorthand that makes them nearly impenetrable.

Plaincast pulls AFDs from the NWS API, breaks them into sections, and translates them side-by-side into plain English. There's a regex-based translation that runs instantly, plus an optional AI-enhanced mode (Claude Haiku) for more natural output.

Covers 19 NWS offices so far. No login, no tracking, free.

Stack: Vanilla HTML/CSS/JS, NWS API, Vercel serverless for AI translation. Single-file frontend (~1,800 lines). The whole thing is intentionally simple.
by laurex | 2026-02-16 00:37:44+00:00
While I have had some good experiences with CC, I do use at least double the tokens and probably more like 5x going through fixes / debugging from its initial efforts. I don't think this is always bad, because it helps me to understand some of the more complicated interactions of existing and new code and improves documentation, but it's irritating when it runs out of usage allotments when it has broken something. There are some small things it never has managed to fix that I have to figure out myself, but again, I learn from that. Mapping out a data structure in advance and creating a plan before immediately coding can also help, but at least in our project, sometimes it just takes an incorrect approach and so I don't just let it go off and do things willy-nilly. I can't at all imaging having an agent free to maintain the code at this point, despite the past 2 weeks' hype cycles.
by bsder | 2026-02-16 00:37:53+00:00
> Ageism also just one of these shitty unproven biases

You might be right, if we were talking about anything except chess.

Chess, unlike everything else, has a clear ranking system and lots of records for people to analyze. And unfortunately, the record is very clear: chess ability decreases after a certain age.

However, the decrease is more likely due to stamina that mental decline. Chess tournaments take a long time, and stamina definitely decreases with age. However, pro athletes demonstrate that you can probably go until around your early 40s before it becomes a real issue.

Having said that, it will be interesting to see how this generation does in the blitz formats as they age. Those will be less dependent upon stamina and a better measure of mental acuity for chess.
by iugtmkbdfil834 | 2026-02-16 00:38:32+00:00
Admittedly, I might not be the.. targeted demographic here, but I can't say I understand what problem it solves, but even cursory read immediately flags all the way in which it can go wrong ( including recent 'rent a human hn post'). I am fascinated, and I wonder if that it is partially that fascination that drives current wave of adoption.

I will say openly: I don't get it and I used to argue for crypto use cases.
by protocolture | 2026-02-16 00:39:21+00:00
>People don't care if a Google bot "reads" their e-mail for spam filtering.

There was that google engineer who was reading kids emails to groom them.

If someone can abuse something, you should expect it will be abused and you might not expect the avenue of abuse.

I get what you are trying to say, that its outcomes that are important. But you cant just hand everything over and trust.
by freetime2 | 2026-02-16 00:39:50+00:00
How long do chess players typically remain at their peak for? According to wikipedia, Magus is currently 35. Is it impressive to be winning at 35? Would we expect to see his performance drop off in the next 5-10 years?

Even if he is still capable mentally and physically, I would think the stress of training and competing must get old after a while.
by komali2 | 2026-02-16 00:39:59+00:00
> but I found that it is very hard to get something like that off the ground in present day Western Europe.

Yes, agreed for the USA/Taiwan/Japan where we mostly operate. For us it's been understanding and leveraging the alternative resources we have. Like, we have a lot of members, but really only a couple are bringing in customers, despite plenty of members having very good networks.

Is your current a co-op? 200+ sales at 30k a pop seems to be pretty well off the ground!
by kibibu | 2026-02-16 00:41:26+00:00
Not sure. It's also plausible that OpenAI wants access to everybody's email, slack, whatsapp, telegram, github source code, whatever else this thing gets hooked up to.

The cry has been for a while that LLMs need more data to scale.

The new Open(AI)Claw could be cheap or free, as long as you tick the box that allows them to train on your entire inbox and all your documents.
by laurex | 2026-02-16 00:41:28+00:00
This argument might have made sense when property rights were assumed to trump all other concerns, but at this point, that isn't logical. We live in a world where "owning" everything has led to complete lack of responsibility for the effects of corporate behaviours serving short-term profit while all living systems are paying the price. At some point we need to introduce more tension between property rights and common welfare if we plan to make it through the next century.
by wat10000 | 2026-02-16 00:42:05+00:00
But trial and error is not the only tool. So many of these audiophile scams fall apart with even the most basic knowledge. You don’t need to be an audio engineer to understand that an expensive audiophile SATA cable won’t make your music sound any different. Analog components are less obvious, but it doesn’t take too much to know that speaker cable is a lot less important than the speakers, and special deoxygenated cables are a waste of money, or that there’s dozens or hundreds of miles of wire between your outlet and the power plant so spending a thousand dollars on a power cable for the last two feet is unwise.

One problem is that they will try to convince other people to follow in their obvious nonsense. Convincing someone to spend a bunch of money on an Ethernet cable to make their sound better is victimizing them.

It’s also just symptomatic of a general failure of critical thinking that can become properly dangerous. There’s little fundamental difference between “I swapped in an expensive USB cable and it sounded better so high end USB cable is worth it” and “my kid got his shots and then he got diagnosed with autism so vaccines caused it.”