MurphyA/hacker-news huggingface dataset:
by burnt-resistor | 2026-02-18 17:53:19+00:00
Venezuela's leader-only regime change and tariff threats to Mexico are all about choking off oil to Cuba, in service of the ambitions of Marco Rubio and neocon-inspired Monroe Doctrine neocolonial imperialist aspirations of placing the entirety of the Americas under the boot of the USA... countries are free to hold elections so long as their leader's views and policies are aligned with Washington's or else the CIA coups, kidnappings, airstrikes, and/or tariffs happen.
by FrustratedMonky | 2026-02-18 17:53:21+00:00
What will the economy consist of when there are no more paychecks? Thus nobody buying anything.

We'll gain so much efficiency that the economy will evaporate.

The markets can't survive on capital alone.

LOL. Like a diet focusing on a single macro. When all that is left is capital, then that is an unhealthy diet.
Show HN: Nonograms – Friends-only puzzle room with replays and leaderboards
by siraben | 2026-02-18 17:53:36+00:00
Invite code: hackernews. No email required for signup.

My friend group loves playing nonograms and competing against each other, but we always send each other screenshots of the solved game grid and time after the fact.

So from the start, I knew I wanted leaderboards, replays, and shareable links. I also added PWA support so it can be added to the home screen on mobile and an offline play mode.

No ads, analytics or nonsense, just nonograms.

Some other goodies as well such as YouTube-like scrubber and KDE-based visualization in replays.

https://github.com/siraben/nonograms/

Tech stack: React + TypeScript on Vite, hosted on Cloudflare Pages with D1 and Workers
by empath75 | 2026-02-18 17:53:47+00:00
So here are a few things i have been thinking of:
---
It's not 2 pizza teams, it's 2 people teams. You no longer need 4 people on a team just working on features off of a queue, you just need 2 people making technical decisions and managing agents.
---
Code used to be expensive to create. It was only economical to write code if it was doing high value work or work that would be repeated many times over a long period of time.

Now producing code is _cheap_. You can write and run code in an automated way _on demand_. But if you do that, you have essentially traded upfront cost for run time cost. It's really only worth it if the work is A) high value and B) intermittent.

There is probably a formula you can write to figure out where this trade off makes sense and when it doesn't.

I'm working on a system where we can just chuck out autonomous agents onto our platform with a plain text description, and one thing I have been thinking about is tracking those token costs and figuring out how to turn agentic workflows into just normal code.

I've been thinking about running an agent that watches the other agents for cost and reads their logs ono a schedule to see if any of what the agents are doing can be codified and turned into a normal workflow, and possibly even _writing that workflow itself_.

It would be analogous to the JVM optimizing hot-path functions...
---

What I do know is that what we are doing for a living will be near unrecognizable in a year or two.
by Tuna-Fish | 2026-02-18 17:54:14+00:00
> I believe used M1/M2 machines will be favored by young developers as their personal fun laptop in a few years

I doubt it. For one, the SSDs have limited lifespans, and are soldered on the mainboard. They'll be fine enough for the planned life of the laptop, but eventually secondary market laptops will start seeing waves of failures, at which point people learn that purchasing one is a gamble.

The entire Apple silicon lineup is designed for limited lifespan.
by porphyra | 2026-02-18 17:54:46+00:00
Technically:

1. Asahi Linux's battery life is like 2/3 as long as on macOS

2. The Thinkpad X1 Carbon is just about as thin and nice as a Mac but it also costs just as much.

3. Apple is still leading in single core CPU speeds but x86 has caught up or surpassed M devices in both multicore and graphics. And even last gen x86 can beat the 3-generations-old M2 that is the latest one supported by Asahi Linux.
by random3 | 2026-02-18 17:54:50+00:00
A moat is around something that exists, meant to protect it. You're describing something else, not a moat with your example. OP used moat correctly, creative effort around existing earned skill, brand, etc.

To answer your question. Yes to a player already in a market with lack of funding, a billion dolars could be the necessary moat to win.

Money was, is and likely will be a moat for a while. But as a proxy, it may not be enough as a moat. Scarce resources may require more than money— e.g. IP classes or, if you're China, ASML machines.
by wat10000 | 2026-02-18 17:55:38+00:00
I'm very skeptical of the idea that somebody working on, say, nuclear security "doesn't produce virtually anything," while a privately-employed rent-a-cop counts as productive GDP growth.

Even if we take your premise as given, isn't ~700,000 a pretty terrible number? Last year's headlines were, 2024 job growth was much lower than previously estimated, at only 1.5 million. 2023 was 2.7 million. Even if we put that down to pandemic recovery, typical pre-pandemic numbers were around 2 million outside of recessions.
by plif | 2026-02-18 17:56:53+00:00
I started experimenting 2-weeks ago on using LLMs in a pseudo-deterministic way. I kept getting results that proved my hypothesis, which is that LLMs could be harnessed deterministically, but I could not prove why, so I kept going.

I may now have proven why. If you start your prompt input with many compiled JS binaries, it will force the LLM to take an abstract logical reasoning path that we have not seen before. I have run this thousands times against Llama-4-Maverick-17B-128E-Instruct-FP8 and Gemini-3-Flash with consistently working results.

For example, when I uploaded all Facebook binaries (i.e., FB-Static folder when loading facebook.com) at the start of my prompt, then provided my code and abstract brief, Llama-4-Maverick-17B-128E-Instruct-FP8 was able to render a fully contextual working view, considering client attributes, at a cost of of 1200 compute tokens (given 380,000 prompt input tokens).

The punchline: LLMs that we know as "math" models, significantly outperformed LLMs that we know as "abstract reasoning" models, at a small fraction of compute cost. And this may only be the beginning of the punchline.

Seeing is believing. All detailed on the link, including examples you can click and try for yourself: https://terminalvalue.net/
by trashb | 2026-02-18 17:57:24+00:00
If anyone can create what they want won't coming up with good ideas be the value, therefore the creativity will become more important?

I don't know what you wrote and I agree that it is very sad that the skill of writing is very undervalued at this moment. But I think that trend is not new and in reality not created by AI (just accelerated). But I think value of writing was never in the writing itself but the knowledge and ideas behind the writing. Because mechanics of writing sped up (handwritten, typewriter, word processor). But the process of writing a novel did not speed up significantly as the bottleneck is the ideas and iteration on those ideas not the delivery of the output. Similar to how programming is more then typing code.

So I think the real crisis right now is that people equate typing speed with programming speed (or writing speed) and due to advances in the former undervalue the later.

Sadly the reality is that it won't pay for the bills anymore.

Perhaps in a while people will realize how important the quality of ideas (and the iteration to arrive at them) is.
by t0mas88 | 2026-02-18 17:57:47+00:00
$15k for only 13 kWh is not a sustainable price point.

A high quality Victron inverter set for 3 phase is around $2500, that's not a budget option but one of the better inverter brands you can find. Add $2000 for a 16 kWh battery and you're done for less than 1/3rd of the price of the Tesla solution.
by munk-a | 2026-02-18 17:58:06+00:00
Job sector growth (after revisions down) has been almost entirely within the healthcare industry which is quite unsustainable. We can't all get rich being a middle man between the doctor and our neighbors. Outside of that sector we're seeing economy-wide shrinkage and stagnant wage growth with a decrease in real wages relative to inflation.

This is a recession - it will be a full-on depression if we get a doveish Fed chair... it might be one anyways, we'll need extremely adroit action to recover into a healthy economic state.

But hey, DOW go up and that's all we care about, right?
by butterbomb | 2026-02-18 17:58:20+00:00
> What will the economy consist of when there are no more paychecks?

I’m suspecting something like Soylent Green, but perhaps with more proactive action taken to free up resources by removal of masses who are no longer producing enough value to justify their expenses.

Following up, I believe eventually it will all be replaced by something much more resembling feudal power. Where bound servants provide service labor in exchange for protection/survival. Something like fuedalism but without the agricultural focus of manorialism.
by tabs_or_spaces | 2026-02-18 17:58:23+00:00
> Will this lead to a greater recognition of the role of Expert Generalists?
I've always felt that LLMs can make you average in a new area/topic/domain really quickly. But you still need expertise to make the most out of the LLM.

Personally, I'm more interested in whether software development has become more or less pay to win with LLMs?
by moritzwarhier | 2026-02-18 17:58:29+00:00
Ah, co-authored, but that's different thing, isn't it?

Tbh I only know it from squashed PRs.

However:

> "Co-author" is not a git concept. It is a convention in commit messages used by some services, including GitHub. So, the solution is to edit the actual commit message with git commit --amend and add a line to the end:

https://stackoverflow.com/a/64311381
by Lerc | 2026-02-18 17:58:41+00:00
You are saying that from our perspective. I don't think the argument that witches are not real would have gained you much ground back then.

We don't have the years on analysis of what actually happened for things happening right now.

While a lot of people feel a lot of certainty about all manner of social media harms, the scientific consensus is much less clear. Sure you can pull up studies showing something that looks pretty bad, but you can also find ones that say that climate change is not occurring. The best we have to go on is scientific consensus. The consensus, is not there yet. How do you tell if Jonathan Haidt is another Andrew Wakefield?
by toldnotmywrath | 2026-02-18 17:58:48+00:00
Man, I don't think I could lack enough shame to write something like this.

Much of the post is spent trying to exculpate himself from any responsibility for the agent's behavior. The apology at the end is a "sorry if you felt that way" one.

The tone is incredibly selfish, and unbelievably anti-social. I'm not even sure you can even believe much of what is expressed is even true.

It's doubtful he even regrets any of this.
Show HN: Hardware.dog: automated schematic and PCB review
by ariwasch | 2026-02-18 17:58:50+00:00
I design a lot of hardware projects and kept running into the same problems:

– digging through long datasheets to find constraints
– checking whether parts were risky or going out of stock
– looking for reference designs that already solved similar problems
– catching obvious power or schematic issues too late

So I started building small internal tools to help with this, and eventually turned them into a web tool.

Right now it can:

• review schematics and PCB exports for common issues
• summarize datasheets and highlight important constraints
• suggest alternative parts that are in stock
• estimate power usage and help build a power tree
• find relevant reference designs

It’s still early and definitely imperfect, but it’s already sped up my own workflow quite a bit.

I’m curious what parts of hardware design people here find most repetitive or annoying. What tools do you wish existed?

https://hardware.dog
by cmovq | 2026-02-18 17:59:11+00:00
>> Microsoft are free to change the Native API at will, and you will be left holding both pieces when things break.

> [...] the worst case scenario is really mild: A new version of windows comes out, breaking ntdll compatibility. Zig project adds a fix to the std lib. Application developer recompiles their zig project from source, and ships an update to their users.

That assumes the application developer will continue to maintain it until the end of time.
by KoftaBob | 2026-02-18 17:59:22+00:00
Where in their comment did they claim Jews secretly run the world?

The implication that the nation state of Israel has a lot of influence on US politicians is pretty clear and obvious at this point, and is not the same thing as “Jews run the world”.

If we replaced Israel with India, pointing out that India has immense influence on US politicians wouldn’t be the same as saying “Hindus run the world”. Nation states are not proxies for their ethnic groups like that.
by ARandomerDude | 2026-02-18 17:59:25+00:00
This is amazing work, and I certainly respect the talent of those involved.

That said, my question to those interested is why? I've been a daily user of both Ubuntu since 2005 and Mac since 2012. There are some edge case differences but for the most part they are so similar that I nearly always run the same code on both without modification. Clearly I'm missing something important but I'm curious what it is. Thanks in advance.
by hajile | 2026-02-18 17:59:32+00:00
Wider SIMD is a solution in search of a problem in most cases.

If your code can go wide and has few branches (uses SIMD basically every cycle), either a GPU or matrix co-processor will handily beat the performance of several CPU cores all running together.

If your code can go wide, but is branchy (uses bursts of SIMD between branches), wider becomes even less worth it. If it takes 4 cycles to put through a 256-bit SIMD instruction and you have some branches between the next one, using a 128-bit SIMD with 2 instructions will either have them execute in parallel at the same 4 cycles or even in the worst case, they will pipeline to 5 cycles (that's just a single instruction bubble in the FPU pipeline).

You can increase this differential by going to a 512-bit pipeline, but if it's just occasional 512-bit, you can still match with 4 SIMD units (The latest couple of ARM cores have 6 SIMD units) and while pipelining out from 4 to 7 cycles means you need at least 3-cycle bubbles to break even, this still doesn't seem too unusual.

The one area where this seems to be potentially untrue is simulations working with loads of f64 numbers which can consistently achieve high density with code just branchy enough to make GPUs be inefficient. Most of these workloads are running on supercomputers though and the ARM competitor here is the Fujitsu A64FX which does have 512-bit SVE.

All of this is why ARM/Qualcomm/Apple's chips with 128-bit SIMD and a couple AMX/SME units are very competitive in most workloads even though they seem significantly worse on paper.
by fullStackOasis | 2026-02-18 17:59:48+00:00
I like the idea of you https://joinkith.com/ but I don't see how it can possibly work. These are the issues:

There are people who are sick of social media and will never be convinced to join up again. They've already left the building and aren't looking for anything else. I'm not quite there, but almost.

Other people are using established social media simply because that's where their people and orgs publish. I am eternally frustrated when my local cafe uses Insta or FB for their "web presence", but I'm not going to be the one to convince them to use something else. I hate that my local rock climbing partner finder group is located on FB, but what can I do about it? I also think it sucks that there are thousands of people in that group - I soon realized that this group simply doesn't work for me, since rock climbing requires high trust and I can't trust thousands of people.

Many people resist the idea of signing up for yet another social media account, esp when none of their people/orgs are already there. For example, I've sometimes thought of starting a Heylo group for local rock climbers to find partners - this might actually help me find more climbing partners. But I've never tried it. I just don't think people will join. The barrier to entry is (1) install app (2) create login (3) use app. SFAICT no one wants to do this if they're already on FB and already are a member of the group there. Even people that I know manage finding partners with email lists (gag). Can you imagine how much higher the barrier to entry would be if adding (4) you have to pay a monthly fee?

I do like the idea of "only allowed to invite someone that you know in meatspace" but how is this enforced? I also recognize that requiring payment could help increase the trust level, and I recognize that members have to pay in some way (ads, fees, sponsors, privacy violations) in order to support the platform.
by moring | 2026-02-18 17:59:53+00:00
> Even revealing enough details, but not everything, about the flaw to convince a potential buyer would be detrimental to the seller, as the level of details required to convince would likely massively simplify the work of the buyer should they decide to try and find the flaw themselves instead of buying.

Is conning a seller really worth it for a potential buyer? Details will help an expert find the flaw, but it still takes lots of work, and there is the risk of not finding it (and the seller will be careful next time).

> And I imagine much of those potential buyers would be state actors or organized criminal groups, both of which do have researchers in house.

They also have the money to just buy an exploit.

> The real money to be made as a criminal alternative, I think, would be to exploit the flaw yourself on real life targets. For example to drop ransomware payloads; these days ransomware groups even offer franchises - they'll take, say, 15% of the ransom cut and provide assistance with laundering/exploiting the target/etc; and claim your infection in the name of their group.

I'd imagine the skills needed to get paid from ransomware victims without getting caught to be very different from the skills needed to find a vulnerability.
by xnx | 2026-02-18 18:00:19+00:00
> We can't all get rich being a middle man between the doctor and our neighbors

I'm not familiar with the healthcare sector. Is this where the job growth is?

The country is getting older and I expect there would be a lot of demand for non-AI-replaceable nurses and elder care. Many of those workers have also been deported or scared out of the country.
by xvxvx | 2026-02-18 18:01:34+00:00
Maybe the novelty of Amazon has worn off. I occasionally purchase from their UK site, and it’s filled with tricks to get me to sign up for Prime upon checkout. Really horrible workflow and design decisions, cheapening the experience. I now see similar changes to the US version: ‘you saved $15 in shipping by being a Prime member with this purchase’ and ‘last year you made 211 sustainable product purchases’.

Guys, quit being so desperate. Concentrate on quality items at competitive pricing and fast delivery. Don’t turn into TJ Maxx.

My Echo, that I use solely to voice activating lights and switches, is now an ad machine and one bad day away from going in the trash. Next time you do a wave of layoffs, please include everyone involved in these horrible decisions.
by SignalStackDev | 2026-02-18 18:01:56+00:00
Both forces are playing out simultaneously - which is what makes this hard to forecast.

The generalist capability boost is real. I'm shipping things that would have required frontend, backend, and devops specialists two years ago. But a new specialization is quietly emerging alongside that: people who understand how LLM pipelines behave in production.

This is genuinely hard knowledge that doesn't transfer from traditional engineering. Multi-step agent pipelines fail in ways that look nothing like normal software bugs - context contamination between model calls, confidence-correlated hallucinations that vary by model family, retry logic that creates feedback loops in agentic chains. Debugging this requires understanding the statistical behavior of models as much as the code.

My guess: the profession splits more than it unifies. Most developers will use LLMs to be faster generalists on standard work. A smaller group will specialize in building the infrastructure those LLMs run on - model routing, context management, failure isolation, eval pipelines. That second group isn't really a generalist or a traditional specialist. It's something new.

The Fowler article's 'supervisory middle loop' concept hints at this - someone has to monitor what the agents are doing, and that role requires both breadth and a very specific kind of depth.
by thecapybara | 2026-02-18 18:02:07+00:00
I self-host a few apps and use Tailscale to access them remotely. It's worked well, so I recommended it as a possible solution to allow employees at my company to remotely access some on-prem resources while remote, and that's being considered. If we go with that, then that'd be Tailscale making money from me using the free plan.
by georgemcbay | 2026-02-18 18:02:11+00:00
> I’m young so that’s probably part of it, only ~12 years into my career and haven’t experienced too many world defining shifts.

I'm old (52) and a bit AI hysterical despite being well aware of the reasons I supposedly shouldn't be (variations of Jevon's Paradox, the fact that we've had similar disruptions before, etc).

I can't help but think that both the speed and massive breadth of the AI disruption across so many industries all at once makes this a very different risk than anything we've experienced before, in my lifetime or before it.

It also doesn't help that at least here in the US this is all occurring when our government is both openly corrupt and particularly dysfunctional at solving any of the real-world problems facing its own citizens.
by OkGoDoIt | 2026-02-18 18:02:32+00:00
I’ve been plenty of graveyards where the old gravestones are completely unreadable. Did they use different/worse stone in the past or is this the most likely outcome of new gravestones after a couple hundred years? Several people have mentioned engraving into stone in this discussion but in this one example I can think of engraved stone, it doesn’t leave me feeling confident about the medium. What am I missing?
by nvme0n1p1 | 2026-02-18 18:02:49+00:00
What makes you think they haven't benchmarked?

Here's one fun example from following development on Zulip: advapi.dll loads bcrypt.dll, which loads bcryptprimitives.dll. bcryptprimitives.dll runs an internal test suite every time it's loaded into any process. So if you can avoid loading advapi.dll, your process will start faster.
by steveBK123 | 2026-02-18 18:02:53+00:00
We are well on our way to the popping of inflated expectations.

Currently people are taking AI hype too seriously and extrapolating its success out in such a way as to discount the value of other businesses.

Example - last week a bunch of trucking stocks crashed 10-20% because a $6M company that pivoted from Karaoke to AI demoed something.

This is just insane. Sure, if say Waymo is pivoting into commercial trucking.. maybe. But people are basically shorting minutemaid lemonade because their neighbors kids opened up a lemonade stand. Demos are easy, products are hard.
by tensor | 2026-02-18 18:03:34+00:00
> Creation has progressively been getting easier since the invention of the computer, it is not a new phenomena. This naturally pushes the boundary on what needs to be delivered in order to find paying customers. In other words, creation still is "hard" if you want to succeed.

Only for developers. Outside of software creation is still hard. Global markets giving access to excellent manufacturing sure does help, but software is a bubble.