MurphyA/hacker-news huggingface dataset:
by hyperadvanced | 2025-08-04 03:53:50+00:00
On this topic- last year it was somewhat common for R politicians to criticize the D regime for the “report high, revise low” strategy - if anything, I guess, this firing has been telegraphed. Anyway, those people were also called conspiracy theorists and politically motivated. There’s clearly a conflict of interest between the facts and what is politically expedient on all sides of the political system in the USA.

I personally would prefer that the jobs numbers apparatus was extremely conservative in the sense that it didn’t overstate the strength of the USA economy. I doubt Trump has that goal in mind necessarily, laudable as it might be.
by amy_petrik | 2025-08-04 03:53:52+00:00
>"Markets" should not have a veto on policy in a democracy.

capitalism is meant to be organic thing like a bacteria. a self-organizing network. one cannot legislate nature, one cannot legislate human nature. Imagine making crimes illegal and then nobody committing crimes. Imagine making it illegal to change lanes without using your turn signal.

a democracy can give an antibiotic by dr. democracy to clear the infection, that is the nature of control here .. but if it's a nasty bug.. the bug will veto the doctor
by valenterry | 2025-08-04 03:54:20+00:00
> I think the structural type approach leans heavily into the "computation is just data and its transformations"

But it's never "just data". My password is different in many ways than my username. Don't you ever log/print it by accident! So even if structurally the same, we MUST treat it different. Hence any approach that always only looks at things structurally is deeply flawed in the context of safe software development.
by tayo42 | 2025-08-04 03:55:09+00:00
> Claude will hallucinate things about Rust code because it’s a statistical model, not a static analysis tool.

I think that's the point of the article.

In a dynamic language or a compiled language, its going to be hallucinating either way. If you vibe coding the errors are caught earlier so you can vibe code them away before it blows up at run time.
by pjcodes | 2025-08-04 03:55:12+00:00
That’s honestly such a good takeaway. Sometimes tracking your money doesn’t reveal overspending; it shows that you’ve been neglecting the parts of your life that bring you joy.

You’re exactly the kind of person I created this for. I’m not against spending at all. The goal is to spend with purpose. When you do buy something, especially related to your hobbies, it should feel earned, guilt-free, and in line with what you truly value not just random temptations from scrolling.
by Joel_Mckay | 2025-08-04 03:56:29+00:00
There is also a lot of nonverbal data. Imagine the horror of discovering your conversational ML build could hold a plausible verbal conversation only guessing 58% of spoken words accurately... then realizing humans likely fair much worse. =3

"Prisencolinensinainciusol" (Adriano Celentano)

https://www.youtube.com/watch?v=Ax9c8f82QZA
by trealira | 2025-08-04 03:56:45+00:00
Yeah, firing the labor statistics head because Trump say she's been faking the numbers to make him look bad actually makes it seem both obviously politically motivated and casts whatever comes after into doubt. Now their credibility is degraded.

That's different from just saying the numbers are obviously being faked under Biden or whatever with no real evidence because you just feel like the economy is bad and assume corruption. Now there actually does seem to be corruption!
by herval | 2025-08-04 03:57:33+00:00
No matter how much you break down playing soccer, it’s the kind of activity that 99.9% of the practitioners will never, ever, in any hypothetical scenario, be able to compete professionally on.

Contrast that to coding. It might’ve been a difficult task when it was about memorizing assembly books. Today anyone can pick it up and become proficient quite fast, faster every day

It’s not the mechanical reproducibility alone, it’s the ease of learning & replication that accrues value
by wonderwonder | 2025-08-04 03:58:37+00:00
Its my opinion that Trump was just the warmup for the rightward shift. Vance or Desantis is going to be next and will be far to the right of Trump. Desantis' 2nd term was the first time I ever voted R in my life. I'm in my mid 40's.

I've always been a Dem and was right up until Biden's term. I've never seen anything like it. Maybe I was just blind to the creep before that. First time I noticed it was the DEI training at work. I did not like that at all. I'll never vote Dem again, the risk to my kids is just to great. So to the right we will go.
by golem14 | 2025-08-04 03:59:49+00:00
Maybe more interesting: what’s the average reading speed per language, and what’s the variation? I know that reading speed varies a lot ( also depends on topic, a math textbook reads slower than an Ian Fleming book).

Are simultaneous translator’s brains different? They need to process two languages at once, and I never could do that even though I’m fluent in more than one language.
by somenameforme | 2025-08-04 04:00:16+00:00
Search for "90s in Russia." [1] 20+ years under Putin's control brought it from that back to an undisputed superpower. Benevolent and effective dictatorship is probably the most effective form of government in terms of producing results. The problem is that when you end up with self centered, incompetent, or malicious dictators (all which somehow often go together at all at once) it's also the most effective form of government in terms of collapsing countries.

The same is true all the way back to the Ancient Empires which were also usually ruled by dictators. The era of Marcus Aurelius was an absolute Golden Age in Rome. Yet the era of his son all but ensured the collapse of Rome. Of course the same is becoming increasingly true of democracies where political messaging has become effective enough to regularly make people vote in highly irrational ways.

[1] - https://search.brave.com/search?q=90s+in+russia
by 1vuio0pswjnm7 | 2025-08-04 04:00:58+00:00
Works if/when archive.today is blocked

No Javascript required

x=https://www.ft.com/content/cfb77a53-fef8-4382-b102-c217e0aa4b25 echo url=$x|curl -K/dev/stdin -A "Mozilla/5.0 (Java) outbrain" > 1.htm firefox ./1.htm
by wenc | 2025-08-04 04:01:37+00:00
I usually listen at 1.5x passively.

But what you said made me curious. I listened to this podcast at 3x. I was able to understand all the words, but my conceptual understanding decreased. I also have to listen actively -- not passively.

https://www.youtube.com/watch?v=9SFkwdm0PP0

At 4x, I could only understand the shape of the sentences but could no longer make out the words. But I turned on the captions and found I could keep up. Turns out reading at 4x works, listening at 4x doesn't.

English is also spoken with different prosodies and cadences. For instance, I can understand Singaporean English perfectly, but it's less amenable to being sped up. I tried listening to this lecture in Singaporean English in 3x and found that I could barely understand it.

https://www.youtube.com/watch?v=LA1dnUYzRWU
by abhisuri97 | 2025-08-04 04:01:38+00:00
Med student here: oftentimes the attendings who are googling are usually doing it because the patient's symptoms don't fit with the most common illness "scripts" we develop in our mind and have ready for the 90% of patients who walk in the door. The google is a quick sanity check to see if these symptoms are within the range of "normal" for the most likely differential diagnoses (i.e. list of most likely diagnoses based on the patient's presentation).

That or those symptoms are exceptionally vague or uncommon enough that they warrant a quick refresher on google for leads on additional questions we should ask of patients (the most common offender here is rashes/skin lesions imo since they can literally be a manifestation of super simple "oh you just changed your shampoo" to "you have a rare autoimmune condition"...asking a comprehensive history from patients can help determine what tests to order).
by benreesman | 2025-08-04 04:02:15+00:00
In the hypothetical lawsuit the damages would be money, the defendants would be the founders and investors, and the plantiffs would be employees with grants that got written down. No one knows how such a lawsuit would play out because it hasn't happened and looks unlikely to.

For the fucking hard of thinking: it would not be about an injunction against the founders being able to work at Google. It would be about them owing money to former employees.

Enough with this, it's trolling at this point.
by 1vuio0pswjnm7 | 2025-08-04 04:04:17+00:00
Works if/when archive.ph is blocked

No Javascript required

x=https://www.ft.com/content/2a5e23fc-ca9b-43fb-befa-e56b92e2bd62 echo url=$x|curl -K/dev/stdin -A "Mozilla/5.0 (Java) outbrain" > 1.htm firefox ./1.htm
by marcus_holmes | 2025-08-04 04:05:20+00:00
There is no "pay $25/month for unlimited electricity" option. And if there was, everyone would use that and all metered options would go broke overnight. Followed fairly shortly by the company offering unlimited flat-rate deals.

Which is what TFA describes, and is why there is no unlimited flat-rate deal for utilities. But that's a mature market that is not relying on growth for valuations, and isn't appealing to VCs trained on net/mobile/crypto bubbles.
by Workaccount2 | 2025-08-04 04:06:11+00:00
While I'm all for it, the real impact of this would likely be on the order of a few billion dollars, if that.

Most regular people could sit down and cut a billion dollars of dumb shit out of the budget in a few hours (every Congress person has their little pet projects they slide in to omni bills).

The fixes needed for this are massive, and the pain will be felt by everyone. Even taking the harshed path against the 1% will still leave plenty of pain for average folks.
by throw10920 | 2025-08-04 04:06:46+00:00
> I feel like I have a new freedom of expression which is hard to fully articulate

When I hear this, I think of this recently-released study, which showed that LLMs both make coders less productive and convinced that they're more productive:

https://metr.org/blog/2025-07-10-early-2025-ai-experienced-o...

Until there's more research published that shows the opposite effect, I don't think we can really take peoples' squishy feelings like this as faithful to reality.
by 3eb7988a1663 | 2025-08-04 04:07:48+00:00
This seems like a deceptively simple problem. Quite tempted to purchase a set to try my hand at it and fail miserably. I am finding kits available for $40-50.

I am also wondering if there was a clue the author did not mention or ignored. Will a final solution have a checkerboard on all sides? If so, that seems a potentially significant simplification to the problem.
by spauldo | 2025-08-04 04:08:42+00:00
Calling DEC probably wouldn't have done you any good either, unless you could get ahold of an insider that took interest in you.

I did tech support for DEC's Starion line of Windows PCs. I'd get the occasional call from someone wanting help with a VAX or a Rainbow or some other piece of DEC kit. But a lot of DEC's customer support was actually handled by 3rd party companies, including the one I worked for, and we had no way of connecting people to anyone from DEC itself.

Compaq killed off most of the online resources for DEC equipment fairly quickly. I always thought DEC deserved a better death... But at least it was better than being bought by Oracle.
by rishavk17 | 2025-08-04 04:10:42+00:00
Hi HN! I just launched Uni-IP, a marketplace for university-developed technologies with tailored diligence tools. Think of it as a way to finally make university IP easily discoverable, searchable, and actually usable in real-life application.

I've spent time in undergrad in the intersection of business and academia. Spending all 4 years working in research labs (covering drug discovery & healthcare AI), and my summers in investing roles (ranging from early-stage VC to biopharma M&A/licensing in big pharma).

Across my experiences, I kept hearing the same thing from VCs, tech transfer offices, and researchers, there’s tons of high-potential science sitting in university IP portals, but they’re impossible to navigate, poorly marketed, and it takes weeks to filter/diligence for what technologies are actually breakthroughs of any importance.

So I built Uni-IP to be a tool in consolidating all this unstructured information:

- Hosts 19k+ technologies from 20+ universities (and growing, which makes this the largest database of university IP technologies to date) - Uses research-tailored NLP + research APIs to auto-generate diligence reports (competitive landscape, relevant patents, papers, etc.) - Uses NLP to automatically classify technologies into breakthrough categories - Makes it 10x easier to find, compare, and understand tech coming out of universities

Right now we’re focused on life sciences and deep tech. I would love feedback from anyone who’s worked in research, investing, or has tried to license IP before. And open to collabs with folks building around innovation, search, or AI + research!

Site: https://www.uni-ip.com/ Promo code for 1 free month of access: UNI-IP-MONTH1

Happy to answer questions or dig into how we’re building our diligence tools!
by roywiggins | 2025-08-04 04:11:24+00:00
As far as I can tell, over the last few years at least, that's mostly not true: wages outpaced inflation, and it outpaced inflation more for lower-income workers than higher.

> In stark contrast to prior decades, low-wage workers experienced dramatically fast real wage growth between 2019 and 2023

https://www.epi.org/publication/swa-wages-2023/

("real wages" are wages adjusted for inflation)
by MutedEstate45 | 2025-08-04 04:11:51+00:00
Thanks for the mention! I'm the author of Mcp-error-formatter, which was mentioned above. Exactly right about the client/server complexity. I've been working on this exact problem. Client-side heuristics can catch timeouts and HTTP codes, but nuanced business logic errors need server cooperation.

The interesting part is dual error representation: devs need full stack traces for debugging, but LLMs need clean structured metadata for retry decisions. Plus you want error telemetry flowing to observability systems.

Question for the mcp-use authors: How do you handle error propagation in multi-server setups? If Server A times out but Server B is healthy, does the agent know which server failed and whether to retry or switch servers? And are you capturing error patterns to identify flaky servers or consistently failing tool calls? The retry orchestration across multiple MCP servers seems like a really interesting problem.
by pjcodes | 2025-08-04 04:12:00+00:00
Believe me, this is such a great idea that I recently received exactly the same feedback.

It's already on my roadmap because the user indicated that it would be effective to demonstrate "what this skipped purchase could grow into in 5/10 years at X% compounding."

The concept would be: rather than merely saving $80 today, demonstrate that, at a 7% annual growth rate, it will reach $157 in ten years, making the "opportunity cost" even more difficult to overlook (and much more motivating if you're saving for things like a down payment).

You have no idea how much these suggestions are helping me shape the next wave of features, so please keep coming.
by selcuka | 2025-08-04 04:12:06+00:00
> AWS Lightsail which is pretty much a normal VPS with VPS pricing

Except it is still Amazon and subject to the same weird billing practices. I once terminated a Lightsail instance and they kept charging me, claiming that I didn't terminate the static IP address associated with it. The IP address itself cost the same as the instance + IP address did.

Now, that would make sense in "real" AWS, but you'd expect it to be more straightforward with a simplified service like Lightsail.
by somenameforme | 2025-08-04 04:16:17+00:00
The point of the economic numbers is that what's affordable from a Western perspective is not for a Japanese person. You're talking about a country where 50% of workers earn less than $25,000 per year! A $200k house in the US is generally considered very affordable. In Japan that's 8 years of salary for half the country, and easily a 20+ year mortgage.

Their housing prices are being further depressed by the fact that they're now dying off fast enough that even Tokyo's population is starting to significantly decline. And that, in turn, is further compounded by a prevalent superstition in Japan against living in a house where somebody died, which helps to further reduce demand for many housing units that 'become available.'
by b_e_n_t_o_n | 2025-08-04 04:16:25+00:00
Typescript had to support JS's quirks... :/

class Foo { public bar = 1; private _value = 'hello'; static doSomething(f: Foo) { console.log(f._value); } } class MockFoo { public bar = 1; } let mock = new MockFoo(); Foo.doSomething(mock); // Fails

Which is why you'd generally use interfaces, either declared or inline.

In the pointer example, if the long field is private then it's not part of the public interface and you shouldn't run into that issue no?
by pjcodes | 2025-08-04 04:17:39+00:00
For the time being, the "IMPULSE DETECTED" graphic is more of a conceptual representation than a real-time detection function.

The app currently depends on you manually recording a "impulse moment," which is essentially any time you catch yourself on the verge of making an unnecessary purchase. The idea is to create just enough friction to get you to stop doing things automatically. Launch the app → input the item → feel the 24-hour timer and let work-hours cost hit you → ideally, choose to skip and "pay yourself" instead.

Having said that, I'm evaluating out potential future integrations because many users have requested automatic impulse detection or more intelligent nudges.

So short answer: currently user-triggered, future versions will make that trigger smarter and more automatic.

Really appreciate you asking. This kind of feedback helps me prioritise what to build next
by rramadass | 2025-08-04 04:17:44+00:00
It is the complete modeling language (class diagram is just one artifact) that people are looking at using with Formal Methods along with regular Software Engineering. For example Sequence Diagrams are extremely useful in understanding the dynamic nature of a System. Lots of papers have been published, IEEE workshops and there is even an attempt at integrating the B Method with UML to give a UML-B variant. Like any language it is up to the developer to study it and learn to use it productively in his work. Of course it is not the "in thing" but quite useful nonetheless when used appropriately.

Automatic Formal Model Generation from UML Diagrams – An Implementation Experience - https://ieeexplore.ieee.org/document/9753518

UML-B: Formal modelling and design aided by UML - pdf at https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&d...
by gcanyon | 2025-08-04 04:18:23+00:00
The answer seems obvious to me:

1. PDFs support arbitrary attached/included metadata in whatever format you like. 2. So everything that produces PDFs should attach the same information in a machine-friendly format. 3. Then everyone who wants to "parse" the PDF can refer to the metadata instead.

From a practical standpoint: my first name is Geoff. Half the resume parsers out there interpret my name as "Geo" and "ff" separately. Because that's how the text gets placed into the PDF. This happens out of multiple source applications.
by albert_e | 2025-08-04 04:18:23+00:00
For complex business documents -- one approach was to use Named Entity Recognition to identify all entities and use that to build a knowledge graph to serve as a complementary repository of knowledge (in addition to the vector embeddings of semantic chunks) to aid RAG workflows.

Does this proposed approach complement this or supercede the need for NER / Knowledge Graph. Just wondering aloud. Appreciate any insights here.
by BarryMilo | 2025-08-04 04:18:34+00:00
That was well-written, though the analogy is immediately obvious but that's on purpose. Is it then a parody of allegory? Pretty entertaining all the same.

I've thought about this problem, though I'm currently employed I'm sending resumes (sparingly). I wonder if the cover letters I send get mistaken for AI; though I doubt it I have no way to know. More likely, they don't get through the deluge of fakes. Even my CV might not, it's impressive in my mind but an AI might write numbers bigger than mine. At least my LinkedIn is old.

This all sucks, I can't wait for regulations (but I'm not holding my breath).
by diptanu | 2025-08-04 04:18:44+00:00
There are many cases images are exported as PDFs. Think invoices or financial statements that people send to financial services companies. Using layout understanding and OCR based techniques leads to way better results than writing a parser which relies on the files metadata.

The other thing is segmenting a document and linearizing it so that an LLM can understand the content better. Layout understanding helps with figuring out the natural reading order of various blocks of the page.
by randomifcpfan | 2025-08-04 04:19:49+00:00
Here’s a study that found that for small problems Gemini is almost equally good at Python and Rust. Looking at the scores of all the languages tested, it seems that the popularity of the language is the most important factor:

https://jackpal.github.io/2025/03/29/Gemini_2.5_Pro_Advent_o...
by spauldo | 2025-08-04 04:21:30+00:00
I know I'm just some random guy and I'm hardly representative of the average American vacationer, but I tend to visit national and state parks on family road trips. There's a lot of amazing places in our country and I'm always talking to travelers about what they've seen.

Sure, I see a lot of foreign visitors, but I see a lot more domestic ones. I figure their money's just as good as mine, and it'd hardly be fair to complain about them after I've done the tourist thing in Japan, Spain, and Gibraltar.
by throwaway-0001 | 2025-08-04 04:21:45+00:00
I think top level async is bad because won’t converge with js browser.

Node test also I dont think is great, because in isomorphic apps you’ll have 2 syntax for testing.

I think the permissions are the core thing we should do, even if we run the apps in docker/dev containers.

Aliases is nice, node:fetch but I guess will break all isomorphic code.
by amatecha | 2025-08-04 04:23:00+00:00
Dunno, unless it's like, a bank or government service, no one is getting a copy of my ID or CC just so I can view their fkin website. I guess I'll just use the web even less than I already do.

Oh yeah and despite all this BS security theatre to "protect the children", teenagers will still find ways to connect with whoever they want to and find whatever content they want online. Source: I was a 12-year-old with dialup internet and my own computer, once.

Relevant nitpick: everywhere this article says "internet" they mean "web".
by breischl | 2025-08-04 04:23:02+00:00
I feel like the process of editing my own stuff is at least as important as getting it down. That's when I go back through it and realize all the conclusions I leapt to, things I didn't thoroughly consider, and other flaws. I think people really undervalue writing as a focus tool. But maybe that's just me, YMMV.

I think the same thing about a lot of code, too. Sometimes you really are just hammering out boilerplate. But a lot of times even writing test code is a great opportunity to realize the main code could be improved. But the LLM probably won't tell you that.
by scarface_74 | 2025-08-04 04:23:03+00:00
Okay, so I am founder of the company, I get VC funding. But I’m not “rich” by any means since I only have the play play wealth based on illiquid “equity”. I may not even have control over the company any more after much dilution.

I get an offer from Google where I am now making real money and have liquid RSUs coming. You think other employees should have the right to sue me because I left the company for a better offer?

The investors aren’t getting anything, in this case Google didn’t acquire the company, they hired the employees. Why would the investors be sued because employees left?