MurphyA/hacker-news huggingface dataset:
by incanus77 | 2025-04-08 23:20:32+00:00
I enjoy the backstory[1], though, about how he ended up that way:

> He was told the area was restricted and he couldn’t go through. Ignoring the request, he instead drove off at top speed into the rocky terrain of the restricted area, making sure the military officials weren’t following him, according to the site.

> Leray told the UK’s Sunday Times that he had travelled around Africa about 10 times so knew the region well. But before long, his he crashed the car into a rock, rendering it unable to drive.

[1] https://www.nydailynews.com/2012/07/03/photos-man-escapes-af...
by no_wizard | 2025-04-08 23:21:50+00:00
>I don't know that the prior situation was sustainable and would have lasted much longer anyway. Using China for manufacturing is like using Amazon for sales. You are required to give them everything they need to take your business away.

So why the broad spectrum tariffs? Why are we blowing up our trade relationships with Canada, the EU, UK, Mexico, Taiwan, Japan, Australia, New Zealand, South Korea and many many other countries who have been good, honest trade partners?

This isn't about China's sins in economic dealings. If it was, the tariffs would only target China and there is an explicit case to be made that indeed, we should be putting tariffs on Chinese made goods, the same pattern may hold true for India as well FWIW.

But our other trading partners have been very good to the American economy, and we blew that up overnight.

We left a vacuum for another economic force to fill now. All the nations we put tariffs on, not only will the tariff US made goods, they're now overnight going to be looking for a place to transact hundreds of billions worth of units, and China can now offer sweetheart deals to absorb that trade, and that weakens the US (and as consequence, western) alliances.
by dijksterhuis | 2025-04-08 23:22:22+00:00
it would get the point across much faster. but it would be a less enjoyable interaction. this is an example graph that i'm never going to look at ever again. i don't even need to care about information. like, it's mostly irrelevant to me. it's a toy example. and it's a bit of a fun example to make people go 'huh, this is a cool vizualisation package'.

if i had a dashboard i needed to use at work set up like that i'd have a bloody conniption after a week. but this isn't a work dashboard -- it's a functionality demo and i'm more likely to remember echarts now as a result (purpose of examples achieved).
by ASalazarMX | 2025-04-08 23:26:03+00:00
Mainframes are the polar opposite of commodity hardware. Those pizza boxes are commodity because they're plentifully available, and you can mix-and-match if needed, there's nothing cheaper for you to run your VMs on. Running them on a mainframe would put IBM as a middle man between you and your business.

Also, mainframes/midranges are all about stability, security, and robustness, not performance. For example, IBM i (the OS, not the machine) has a hardware dependent layer, and a hardware-independent one. This allows for drastic hardware changes without affecting the high-level applications. A monolith would be arguably more efficient, but it matters more that the hardware-independent layer stays rock-solid.

https://en.wikipedia.org/wiki/IBM_i#Architecture
by AnthonyMouse | 2025-04-08 23:26:20+00:00
The flaw is in putting these things out as alternatives to each other.

The future of manufacturing is in automation, but in order to do automation you need machinists and computer science. You need people who can design a machine that makes other machines, which is a physical device that operates under the direction of software.

Getting people to learn to code instead of learning how to build machines doesn't get it.
by olyjohn | 2025-04-08 23:26:52+00:00
He's saying "I'm horny, where's the ladies?"

The hammering is how they find eachother over long distances. Just heard some the other day hammering on my gutter. Went out to scare him off, and lo and behold there were two pairs outside frolicking around in the trees.

A couple years ago I saw one while I was out on my back deck, he started hammering, then about 2 minutes later a female shows up, and they flew off together.
by tiborsaas | 2025-04-08 23:27:17+00:00
It does a web search so you got more lucky. I searched for it because I found it on the product page of the manufacturer and I was interested in finding a place to buy it.

Google offered me a few hits with existing businesses, with ChatGPT I need to do another query.

Out of curiosity I tried it and it did take me to a wholesale company (single result), but the Google results are better with cheaper options (multiple good results), I can also parse the list faster with my eye.

Sure, I can just write a better prompt:

https://chatgpt.com/share/67f5b09b-c154-8013-840f-934af8302f...

This is my third attempt to get it right, but it found me one which I haven't seen before. However I would still do a Google search to be thorough and get the best deal.
by anon84873628 | 2025-04-08 23:28:28+00:00
The problem is that you're portraying this as some sort of law of finite biological resources or something, rather than a probabilistic effect of breeding small populations.

Most genotypes or "random mutations" are totally neutral for an organism, but let's say that of the notable ones, it's 50/50 whether they will be "good" or "bad".

If we find the "good" smart parrot, it's likely they have some other "bad" stuff we can't see or just don't care about. When you keep inbreeding, that other bad stuff will be fixed along with the intelligence. This is purely a limitation of our knowledge of the genome and lack of other inputs. You can out-cross to reduce the bad traits, but you risk losing some of the intelligence too. Theoretically there is another bird out there that solves the "bad" trait without affecting intelligence, we just don't know which it is.

Nothing stops you from having a win-win-win. You could randomly find a bird that is super smart with rainbow feathers and the voice of an angel... It's just incredibly unlikely to roll all those attributes in one individual and keep them through multiple generations.

As to why wild populations haven't naturally evolved to be smarter, that is an entirely separate discussion about countless competing selection pressures and how genes spread through larger populations.
by tharne | 2025-04-08 23:28:33+00:00
> I don't know that the prior situation was sustainable and would have lasted much longer anyway. Using China for manufacturing is like using Amazon for sales. You are required to give them everything they need to take your business away.

If if comes to pass that the 21st century is a Chinese one, it will be this long con that launched the whole thing: "We'll manufacture anything you want real cheap, just show us how to do it."

The U.S. outsourcing it's manufacturing to China is likely to go down as one of the biggest economic and political self-owns of the modern era.
by HarHarVeryFunny | 2025-04-08 23:29:33+00:00
GP's whole thesis was that bird intelligence is related to their high-in-the-sky perspective and prey tracking, which is wrong. If this was the case then the smartest birds would be raptors.

The need for intelligence comes from being a generalist, needing to learn and apply a large complex set of situation dependent rules. This is why specialists like raptors, chickens, penguins are not renowned for their intelligence. A good outward sign of intelligence is playfulness, a trait evolved to put the player in learning situations to feed their intelligence. Animals like apes, dolphins and crows are all very playful. Eagles not so much.

So, yeah, I was correcting GP. If you don't like it, then too bad.
by Vvector | 2025-04-08 23:29:53+00:00
* You cannot ethically use a tool that was produced by appropriating the labor of millions of people without consent. You are a bad person if you use it. *

I disagree. When you publish your work, I can't copy it, but I can do nearly anything else I want to with it. I don't need your consent to learn from your work. I can study hundreds of paintings, learn from them, teaching myself to paint in a similar style. Copyright law allows me to do this.

I don't think an AI, which can do it better and faster, changes the law.
by no_wizard | 2025-04-08 23:29:59+00:00
It was at least partially artificial. The GI Bill post WWII introduced millions of families who otherwise wouldn't have gone to college the ability to go to college. This set off two cycles, one of which is now those folks who went to college on the GI bill wanted to encourage their kids to go to college, which is well and good, but it also showed the economic value to a bigger mass of the country of going to college. Now that made its way into government policy as a result, so the government took steps in the 1970s and 1980s in particular to expand collegiate enrollment, which drove up the price of college which lead to Clinton signing a bill that gave us the student loan system as it exists today, which then fed even more enrollment as a matter of policy, but now universities too were in on the game, as that money is guaranteed which lead to bigger recruitment drives.

I'm giving a very high level synopsis here, but the snowball effect wouldn't have happened without the policy interventions by the government, in particular the student loan shenanigans
by olyjohn | 2025-04-08 23:30:27+00:00
Couple of years ago, they were doing this to me every... single... day... at 4am. Nothing really scares them off. I would go outside and try to wave them off. They go just far enough to get out of your reach, or just hide on the back side of a tree trunk. Then they do that stupid Woody Woodpecker laugh, and fly right back when you go inside. I now see where Woody Woodpecker got his personality from. What a dick.
by andupotorac | 2025-04-08 23:30:55+00:00
I'm vibe-coding a vibe-coding platform.

I'm going to speak this update because that way I can have the text written more naturally. So, let's do that. So, since October last year, this means about six months, I've been using Cursor as a non-coder. Actually, I've been coding the last time, I guess, back in the days of Flash in ActionScript. So, I used Cursor for the past six months, maybe around 12 to 15 hours a day on average, you know, some days off, more hours in other days. And I've been working together with my co-founder, who's a developer, but he's also using AI, except he's using AI less than I do. So, we've been working on several things, of which one of them is closest to being released, maybe 80% done, which is, as I said, a vibe coding platform.

So this particular vibe coding platform will actually not compete with the likes of Replit, Bold, Loveable and about 40 other platforms that are basically the same: chat + IDE + preview area. What we're doing is actually different because we are rewriting a project that we built about 10 years ago. And I guess in a way similar to how Replit and Bolt had completely pivoted because of AI. The same thing is happening with this project of ours. So the project was actually about offering interactive widgets to people for their websites, but we had to build those manually. So now we have rewritten the platform from scratch using AI. And we offer zero widgets because with AI we are able to offer an infinity of widgets. That's exciting.

So this was supposed to stay a side project and frankly I'm pretty surprised that there's so much demand and the growth is amazing for all these AI code gen platforms. And if that happens to us, to this project, I don't know exactly what we are going to do because our plan is actually to tackle a bigger project that we are also working on. And the strategy here is to do what we call compounding startups. So instead of building a larger project with many features, we actually split that in several projects and we are doing them one at a time and giving each the ability to actually generate revenue. At some point we are likely going to raise capital. We had this plan before but with AI things have completely changed. We are able to do now in a week what five developers were doing in six months.

So the other projects are Talbo, Reclona and Tradul. Talbo is the what they compound into. But I am not ready to talk too much about them right now. :)
by ASalazarMX | 2025-04-08 23:31:56+00:00
Ironically, it's not that LLMs have become super useful, it's that the dominant search engines have become significantly worse, while at the same time they peddle AI results. It almost feels as if it was better for them if you used LLMs.

I won't deny LLMs can be useful, but they're like the news: double-check and form your own conclusions.
by yencabulator | 2025-04-08 23:32:54+00:00
Years back, I had someone interviewing in person for a low-level, bit-twiddling, C++ role without knowing what hexadecimal is (no clue how they got that far; the external recruiter was given "feedback"). Pretty much lied about everything, tried to bullshit his way through questions. I have no idea how they thought they'd manage the job.

Just like with semi-personalized phishing/spam, it's not that these things didn't happen already, it's that people are empowered and emboldened to cheat by it becoming easier. The difference is in quantitative not qualitative.
by lucasfcosta | 2025-04-08 23:33:26+00:00
We've tested almost every visualization library under the sun when building Briefer (https://briefer.cloud) and I can confidently say that Apache ECharts is the best.

The main issues with other libraries is that they're either:

(a) ugly (b) difficult to use (i.e. having to do things imperatively) (c) not flexible enough

Apache ECharts solve these 3 problems. It's pretty by default, it allows us to mount/calculate the declarative spec for the graphs in the back-end and then only send the desired spec to the front-end so it can render, and it's also extremely flexible to the point we can support everything that traditional BI tools can do.

We've never had to extend the lib to do anything new, everything we need is already there.

Glad to see this great piece of work on top of HN.
by sarchertech | 2025-04-08 23:33:59+00:00
You’re comment was talking about performing under pressure and failing to perform with people watching them.

In this context when you say perform I assumed (as would most people) that you’re talking about technical/work sample interviews not culture fit tell me about a time you did x interviews.

If you’re talking about those, then yes every job in every industry does that. If you’re talking about stand at this white board and solve a problem that I know the answer to to while I watch.

No one outside of software engineering does this for anyone but new grads.
by rainsford | 2025-04-08 23:36:15+00:00
I agree you need a variety of skills and jobs, but "learning how to build machines" is just as white collar as learning to code. Particularly since the functionality of any modern machine involves just as much code as it does mechanical engineering. Don't get me wrong, mechanical and software engineering are completely different fields and we need both of them. But they're both unarguably college educated white collar jobs.
by bbor | 2025-04-08 23:37:14+00:00
I really don’t know what to do with posts like these — a startup announced today supposedly beats all other OSS models out of the gate??

I mean, they have screenshots of tables and stuff so they’re presumably not outright lying, but I’ve been burned before in this space. I guess I’ll just have to wait and see if others start freaking out about them…

Tech-wise the IDA algorithm seems promising! Aiming for “superintelligence” is a little bold considering that counts on an (inherently-unpredictable!) intelligence explosion from a human-level model, but I’m sure it helped them raise at least.

Thanks for posting! Keeping my eye on y’all :)
by sarchertech | 2025-04-08 23:38:19+00:00
It’s not just medicine. No other job does solve this question on a whiteboard style interviews for anyone other than new grads.

The closest thing you’ll find is actors and musicians auditioning. But performing is an actually a part of their job.

Nurses only have 4 years of school and they don’t have whiteboard interview equivalents. Medical technicians don’t either and they don’t even have degrees in most cases.

Also one minor correction most residencies are 3 years, although some are longer.
Show HN: Anschreibenai.com – an AI coverletter generator. it's free. no account
by tevlon | 2025-04-08 23:38:22+00:00
Hey Guys,

this is my little pet project. The motivation was: i hate writing cover letter and i want to automate is so much, that 9 out of 10 coverletters will be ai generated in the future.

Let's flood the market and recruiters will simply stop asking for a cover letter. I don't want to make any money out of it. It's free. You don't need an account and it's available in 32 languages. Would love to hear your feedback.
by mechagodzilla | 2025-04-08 23:38:56+00:00
So applying this to China and the USA - the USA has a median household income of ~$80k, and China, in terms of purchasing power parity, has a median household income of $32k. China has a workforce of ~775M people vs 163M people in the USA. The USA has ~7M unemployed people. For the USA to stop importing goods from China, we would need to 1) stop consuming those goods altogether (even if they're intermediate goods that go into things we do manufacture), or 2) employ US workers to make those goods instead of whatever they're currently doing (either employed or unemployed).

Employed Americans largely earn a lot more than employed chinese people, and there just aren't very many unemployed Americans. Based on the value of imports to the US from China vs Chinese GDP($440B vs $17.8T), we import about 2.5% of their output, or the equivalent of ~20M people's output if we naively scale. I don't think there is any way around the fact that significantly reducing imports from other countries means we significantly reduce our consumption in absolute terms (i.e. we have a poorer standard of living), just out of spite for other countries.
by wpietri | 2025-04-08 23:39:03+00:00
"Their topmost distinction was between things with souls and things without souls. And large trees were in the former category, whereas small trees were in the latter category…"

This reminds me deeply of Borges: https://en.wikipedia.org/wiki/Celestial_Emporium_of_Benevole...

To me, that bit of Borges is a reminder that all human taxonomies are limited and provisional. But it seems to me that Cyc and its brethren are built around the notion that a universal taxonomy is important and achievable. I guess it's possible that a useful kind of cognition could happen that way, but it's patently not how people work. If I had gotten to the point where I was forced to define exactly when a tree got a soul, I hope I'd realize that I was barking up the wrong tree.
by mikrl | 2025-04-08 23:39:05+00:00
Yep. I ask LLMs the XY questions since they don’t get annoyed, and when my question is very concrete and reduced to its essence, I ask the search engine and usually get a better answer than the LLM would give me.

Basically, there’s a lot of good and specific information on the web, but not necessarily combined in the way I want. LLMs can help break apart my specific combination at a high level but struggle with the human ability to get to solutions quickly.

Or maybe I just suck at asking questions haah
by d4mi3n | 2025-04-08 23:39:32+00:00
I think this is mainly a symptom of poor alignment between search engines and their customers. ChatGPT works well now but the plan there seems to be to monetize search-like queries. I fear it won't be long until chat AI agents using this model bring us back to the same frustrations we have today with Google et all.

There is some room for optimism, though. There's been a rise in smaller search engines with different funding models that are more aligned with user needs. Kagi is the only one that comes to mind (I use it), but I'm sure there are others.
by ggm | 2025-04-08 23:39:49+00:00
I certainly don't disgagree that Xi won't back down soon, nor will Trump. Nor that global trade will continue: When China and Australia entered a dispute, Australia found substitutable markets for most of its sectors exporting in bulk to China, and in the end they came to rational terms quietly. We all feel much better about the diversified markets now. And in like sense while the whole US beef thing is very annoying it's actually under 10% of our total beef exports.

But I think you underplay how much damage the US could do to the Chinese economy, if (for instance) they repudiated the debt. Or, if they heavy trading partners to drop favourable trade terms to gain back US markets. I think people would be insane to give in but from time to time this kind of thing happens for a short term win. We recently pumped a shitload-and-a-half of money back into the pacrim island economies, to displace China as a trade and security partner having taken our eye off the "backyard" as it is disparagingly called.
by CaliforniaKarl | 2025-04-08 23:40:29+00:00
This is not just used for folks in the medical fields, it's something that lots of businesses use! In the US, it's often called a "DBA (Doing Business As) Name" or a "Fictitious Name".

You can read about California Fictitious Names here: https://calosba.ca.gov/for-small-businesses-and-non-profits/...
by hocuspocus | 2025-04-08 23:40:35+00:00
Pix isn't a CBDC.

The deployment of SCT inst is mostly complete and Wero (EPI) was launched in 3 countries already. Things take a bit more time when you need to push standards and regulations to 11/27/36 countries. Overall banking and payments in the EU/EEA are pretty advanced and evolving at a decent pace given the market size and number of entities involved, the PSD is world-class.
by TheOtherHobbes | 2025-04-08 23:40:38+00:00
The US can barely get basic medical supplies to much of its population outside of a health crisis - not because of direct supply chain issues, but because the system is designed to put corporate profits over adequate service provision.

And in the not so general case, over national security.

Is manufacturing the real problem here? Or is it a symptom of decades of systemic mismanagement of opportunity by a culture that values short-sighted opportunism over strategy?
by hajile | 2025-04-08 23:41:24+00:00
22.7MB to download the latest release from Github (87.3MB unzipped). That's an insane amount of JS to download and compile (people often complain about React being ~50kb).

The default recommended way to use it is `import * as echarts from 'echarts'` which means you are getting the WHOLE thing.

Does anyone with experience know how big is it when you pick and choose modules?
by ASalazarMX | 2025-04-08 23:41:44+00:00
Also, "cheating" is common in many species, including other birds, and it doesn't seem to affect their reproduction enough to justify evolving cheater powers; as spicy as that hypothesis may be.

I also agree that it makes more sense that pressure to become smarter is linked to prediction and preservation, as they're fragile creatures. A wounded mammal could crawl inside its nest and heal, a wounded bird is likely a dead bird.
by karaterobot | 2025-04-08 23:43:10+00:00
This is cool, I immediately did 4 puzzles in a row.

In addition to saying congratulations, I wanted to ask, since you say you're the one writing the puzzles: how do you define a puzzle? What does it look like from your perspective? Do you literally just write all the nested clues out with brackets and everything, and then validate that it works—because that would drive me nuts, I think—or is there some tool you wrote to help?
by rblatz | 2025-04-08 23:43:34+00:00
I don’t employ leet code questions in my hiring process, but I do think they can provide value or signal.

If a candidate is taking the time to practice and master leetcode it does show the candidate is motivated, demonstrates their ability to learn and internalize knowledge, and to utilize that knowledge under pressure.

If those are things you want to screen for and have a high volume of talented candidates I can see a use for them.