MurphyA/hacker-news huggingface dataset:
by ilamont | 2025-06-11 15:59:47+00:00
Such an important diary from a social and historical perspective. When reading about other topics relating to 17th-century Britain (such as the Fire of 1666 and the development of the British Navy) it is frequently cited.

I don't know if the paywalled article mentions the shorthand he used to write it, but that's a fascinating topic on its own. It was called Tachygraphy, and was used from the mid 1600s through the early 1800s by Pepys, Thomas Jefferson, and Isaac Newton among others.

There's a sample on this page:

https://pepyshistory.le.ac.uk/pepyss-shorthand/

This source states Pepys learned it as part of his Navy responsibilities as it was an effective way to take notes: https://deborahswift.com/who-remembers-shorthand/
by NoMoreNicksLeft | 2025-06-11 16:00:41+00:00
Google's core product has always been advertisement. They sell advertisements to companies looking to advertise, and they bring in tens of billions in revenue from that business. In effect, their core product is you: they're selling your eyeballs.

If the bait that they used to bring you to them so they could sell your eyeballs has finally started to rot and stink, then why do people continue to be attracted by it? You claim they've ruined their core product, but it still works as intended, never mind that you've confused what their products actually are.
by overfeed | 2025-06-11 16:00:57+00:00
> This is a defeatist argument.

No side is getting defeated any time soon. I've been involved in skirmishes on both sides of scraping, and as I said, it's an arms race with no clear winner. To be clear, not all scraping is abuse.

The number of people who'll start scraping because a new tool exists is a negligible (i.e. <0.001 of scraping). Scraping itself is not hard at all, a noob who can copy-paste code from the web or vibe-code a client that can scrape 80-90% of the web. A motivated junior can raise that to maybe 98/99% of the Internet using nothing but libraries that existed before this tool.

> especially not when that is brought up in response to asking someone to reflect on possibilities for abuse

Sir/ma'am - this is hacker news, granted, it's aspirational, but still, hiding information is not the way. As someone who's familiar with the arts, there is nothing new or groundbreaking in this engine. Further, is no inherent moral high ground for the "defenders" either: many anti-scraping methods rely on client fingerprinting and other privacy-destroying techniques, so it's not the existence of the tool or technique, but how one uses it.

>... "well you'll just have to deal with it" argument that socially defends the abusers

The abuse predate the tool, so wishing the tool away is unlikely to help. Scraping is a numbers game on both sides, the best one vam hope for is to defeat the vast majority of the average adversaries, but a few fall through the cracks, the point is to outrun your fellow hiker, not the bear. However, should you encounter an adversery who has specifically chosen you as a target, then victory is far from assured. The usual result is a drawn-out stalemate. Most well-behaved scrapers are left alone.
by EGreg | 2025-06-11 16:01:23+00:00
I didnt say extinct

Horses and oxen aren’t extinct. Just nowhere near their peak where they had been before cars and tractors.

They just won’t have as many children. It is already happening.

People need each other less and less thanks to technology. And they won’t be paying each other for anything when they have AI. Soon romantic relationships will be disrupted also, it’s called a “superstimulus” (eg when birds prefer fake rounder eggs to their own). Dating robots. Extrapolate a few decades out and what do you see?

https://www.youtube.com/watch?v=YuQqlhqAUuQ
by Y_Y | 2025-06-11 16:01:49+00:00
I think GDPPPP/capita is a better measure here, but the story is similar. From the IMF's 2025 numbers: USA $90k, China $29k, world average $26k.

Lovely tabulation of the data here: https://en.wikipedia.org/wiki/List_of_countries_by_GDP_(PPP)...
by mrweasel | 2025-06-11 16:03:56+00:00
Are they talking to ChatGPT, or are they typing? More and more we're seeing that user don't even want to use a phone for phone calls, so maybe a voice interface really isn't the way to go.

Edit: Oh, you wrote "verbal" that seems weird to me. Most people I know certainly don't want to talk to their devices.
by robomartin | 2025-06-11 16:04:20+00:00
Peaceful protest? C'mon.

They were throwing molotov cocktails, rocks, scooters, mortar-like fireworks, bottles with urine and chemicals and who knows what else. They were destroying and looting stores and vandalizing everything in sight. I don't know how many Waymo cars they destroyed (it looked like five). Far from peaceful.

The moderate or peaceful majority is never the reason for enforcement actions. These are triggered by a militant and violent minority, some of whom are actually paid to cause disruption. So, you have a couple of choices. The first is to do nothing and just let it burn. We have seen that happen before. The second is to bring forward an overwhelming show of force to dissipate that violent element (and bring them to justice). That's what happened.

This is no different from control system theory. The ideal critically-damped feedback loop does not exist when dealing with mobs. Either you crank up the dampening early or you pay the consequences of doing it too late. We can't have entire business districts destroyed by thugs. You have to stop them as soon as possible. As it stands, these animals caused a massive amount of damage in just a couple of days.

Yesterday showed the contrast very well, there was a peaceful (truly, not the fake "peaceful" pushed by the media while shit is burning) protest that seemed to number in the thousands of people. Perfect. No problems. That only happened because thugs (the minority) learned within a day or two that they would suffer severe consequences for their actions.
by TheAceOfHearts | 2025-06-11 16:04:30+00:00
> With these visual subgoals, V-JEPA 2 achieves success rates of 65% – 80% for pick-and-placing new objects in new and unseen environments.

How does this compare with existing alternatives? Maybe I'm just lacking proper context, but a minimum 20% failure rate sounds pretty bad? The paper compares their results with older approaches, which apparently had something like a 15% success rate, so jumping to an 80% success rate does seem like a significant jump. If I'm reading the paper correctly, the amount of time required to compute and execute each action went down from 4 minutes to 16 seconds, which also seems significant.

Having to specify an end goal as an image seems pretty limited, but at least the authors acknowledge it in the paper:

> Second, as mentioned in Section 4, V-JEPA 2-AC currently relies upon tasks specified as image goals. Although this may be natural for some tasks, there are other situations where language-based goal specification may be preferable. Extending the V-JEPA 2-AC to accept language-based goals, e.g., by having a model that can embed language-based goals into the V-JEPA 2-AC representation space, is another important direction for future work. The results described in Section 7, aligning V-JEPA 2 with a language model, may serve as a starting point.

I think it would be interesting if the authors answered whether they think there's a clear trajectory towards a model that can be trained to achieve a >99% success rate.
What's the Demand for Apache Spark?
by anakali | 2025-06-11 16:04:35+00:00
When using the Google Keyword Planner I found that monthly searches for `spark serverless`, `spark server`, `spark cloud` and so on range on the miserable hundreds: 100 to 1k.

The same happens for keywords like `sql serverless`. I was thinking on creating a serverless Apache Spark server, cuz nowadays the only relevant result that appears on Google is GCP, but why does it seem to have globally such that poor search volume? Is it just because a handful of customers pay for most of the bills or what?
by gigel82 | 2025-06-11 16:05:16+00:00
I think there are 2 types of software engineering jobs: the ones where you work on a single large product for a long time, maintaining it and adding features, and the ones that spit out small projects that they never care for again.

The latter category is totally enamored with LLMs, and I can see the appeal: they don't care at all about the quality or maintainability of the project after it's signed off on. As long as it satisfies most of the requirements, the llm slop / spaghetti is the client's problem now.

The former category (like me, and maybe you) see less value from the LLMs. Although I've started seeing PRs from more junior members that are very obviously written by AI (usually huge chunks of changes that appear well structured but as soon as you take a closer look you realize the "cheerleader effect"... it's all AI slop, duplicated code, flat-out wrong with tests modified to pass and so on) I still fail to get any value from them in my own work. But we're slowly getting there, and I presume in the future we'll have much more componentized code precisely for AIs to better digest the individual pieces.
by autoexec | 2025-06-11 16:06:04+00:00
TPM has to be there. If you have a machine that doesn't support a high enough version your OS vendor will refuse to give you any support and if you have secure boot disabled the software you try to run might refuse to work. Today, you can disable secure boot and have a degraded experience, tomorrow, who knows?

If this really were all only for enterprise users things like https://old.reddit.com/r/ValorantTechSupport/comments/1g4rkh... wouldn't be an issue but that isn't reality.
by vel0city | 2025-06-11 16:07:02+00:00
The hold up is usually almost entirely insurance related for most people. People in my family (including myself) have had non-emergency imaging done several times over the past few years. We've had experiences ranging from getting it done same day to taking over a month to get approval and scheduled. This is in DFW, where there's no shortage of MRI machines around.

Meanwhile there are imaging labs that can do walk-ins if you're willing to pay cash and they have the slack in their schedule, usually somewhat cheap compared to what they'll bill insurance (and if you have a HDHP, what you'll pay). They don't want those machines idle, a gap in the schedule is money they aren't making.
by chrisrickard | 2025-06-11 16:07:09+00:00
Tools like Userdoc (https://userdoc.fyi) help in a few ways, you can easily create requirements (stories, personas, journeys, test cases), but also reverse engineer existing source code into detailed docs, then ask natural language questions etc. AI helps us plan our product in Userdoc, and our devs connect via MCP to bring those requirements directly in to Cursor (full disclaimer, I work at Userdoc - but we eat our own dogfood)
Show HN: TrailMuse, AI Trip Planner That Builds Itineraries in Seconds
by notthepuma | 2025-06-11 16:07:26+00:00
Hey HN,

I built TrailMuse, an AI-powered trip planner that instantly generates personalized travel itineraries. It’s designed to save you hours of research and planning.

Try it free here: https://www.trailmuse.com/beta-signup

What it does: Enter a destination and TrailMuse builds a full, day-by-day itinerary in seconds. Refine your trip by travel style (e.g. fast-paced, laid back, family-friendly). Regenerate or edit specific days on demand, it’s like having a travel-savvy co-pilot. Mobile-friendly and built to feel intuitive from the first click.

Why I built it: I was frustrated by how long it took to plan trips using forums, blogs, and endless Google Maps tabs. TrailMuse automates that initial planning phase while still giving you full control.

Tech Stack: Frontend: React Backend: Node.js

Looking for: Feedback on the generation quality and UX Ideas for features you'd want in a travel assistant Thanks for checking it out! I’m here to chat and would love your feedback.
by bluGill | 2025-06-11 16:08:13+00:00
Your cell carrier operators under very different laws and ability to harm you. Sure they know where you are, but most of the data flowing across their network is encrypted and so they mostly know you have a lot of data to AWS, google, and the like but not what it is. Google as the endpoint of that data has the decrypted version of the data and so they know what it is, and so they can target you in different ways.

If you are going to commit a crime (rape, murder), then all the police need is to know who owns the phones in the area and so you need a burner phone to hide your tracks.

However most of us are not worried about crimes. We are worried about privacy. We are not doing anything illegal, but google still knows far too much about us and is using that to legally abuse us with advertisements. While we all want to pretend we are good at ignoring advertisements, most of us have bought things we don't need and don't really want (or spent too much on things we did need/want).
by spondylosaurus | 2025-06-11 16:08:30+00:00
Well this was gonna bother me until I figured it out, so, drumroll... Hal Incandenza is... a white boy! Or at least he says he is. Who would've thunk.

> "I’m a privileged white seventeen-year-old U.S. male."

I think it has the air of a trick question though. Most readers will (correctly) assume that Hal is white, which the text does little to dispute or confirm barring a throwaway reference or two (and which is unlikely to stand out in their minds since it confirms what they already assumed), so encountering such a question makes it seem like the answer is more complicated than "Shockingly, the tennis heir protagonist written by a white American author is also a white American kid." And for many people it's somewhat gauche to admit that you assumed a character was white by default, so if you hazard a (correct) guess of "Well he's white, isn't he?" but it turns out there was a different throwaway reference to him being a quarter Puerto Rican or something, you might be a little embarrassed!

EDIT: I forgot there is actually a throwaway reference to Hal being (at most) 1/8th Native American, lol.

> ...a great-grandmother with Pima-tribe Indian S.W. blood, and Canadian cross-breeding...
by ww-picard-do | 2025-06-11 16:08:43+00:00
It seems more likely that people will get paid more. When companies want to reduce labor costs they usually lay off people, not decrease salaries. We see this happening in FAANG. The remaining workers will not only need to understand their industry domain, but they will also need to be skilled in working with AI tools. People who can do both well will be in demand.
by sorcerer-mar | 2025-06-11 16:08:55+00:00
> If you need incentive to pursue artistic mastery, you will never really be a true master.

Deploying fortune-cookie wisdom to defend against allegations of astounding ignorance of the real world is... a choice.

Which "true masters" didn't do do art commercially? According to your theory, not only should this list be of non-zero length, but it should include every master. So please tell me which ones.
by trey-jones | 2025-06-11 16:09:26+00:00
Worse, I've been told that attempting to dry indoors would result in rot (given not enough air flow, which might not be the case in all indoor environments), and consequently have never tried it. I've exclusively air dried pine, oak, poplar, pecan, cedar, all under open walled structures and not had too many problems over the last 20 years (and my dad was doing it for another 30 before that).
by dorianjp | 2025-06-11 16:09:41+00:00
what do most people care? Sure some are scared of Alexa listening into your life, but look at all the smart TVs that people invite in, agreeing in the billion word EULA that its ok to listen to things we say to target us with whatever ads. I'm 99% sure my Samsung TV has been listening to me where I'll get some pretty creepy, and by creepy I mean precise, targeting ads to something I never even searched on my devices, but spoke in a conversation about in my kitchen.
by goatlover | 2025-06-11 16:10:07+00:00
I think the bigger picture is the creeping authoritarianism of the administration. Focusing on the actions of a few angry individuals after over the top ICE raids is missing that the administration sent in US troops over the objection of state officials. That Trump is calling the governor scum and suggesting that Democratic officials be arrested. That this sort of justification has happened in Russia, Hungary, El Salvador to consolidate power.
by letitbeirie | 2025-06-11 16:10:14+00:00
Are you young enough to have grown up in a house without a land line by chance?

I think land lines are where many current adults (who grew up before cell phones were ubiquitous) learned a lot of that common sense, because in order to get in touch with anyone you had to be willing and able to make small talk with whoever picked up the phone first - chatty mothers, asshole brothers, mostly-deaf grandfathers, etc.
by DannyBee | 2025-06-11 16:10:17+00:00
"Initial shrinkage is larger when drying from green wood"

?

It's not - it's exactly the same as anything else. The wood doesn't know it's green.

The calculator you gave is shortcutting it, and has an entire article in how they shortcut it the same way as anyone else, based on the swelling coefficients/etc, but assuming thickness is small enough to not matter.

If your projects are outdoors, you will be affected by more than just humidity - UV will also have a significant effect on the properties of your projects :)

The moisture transport is also not as simple as you are making it out to be, and has a not insignificant effect.

See:

https://gupea.ub.gu.se/handle/2077/54179

https://www.mdpi.com/2076-3263/8/10/378

https://www.sciencedirect.com/science/article/abs/pii/S12962...
by anonymars | 2025-06-11 16:10:25+00:00
These seem like two independent concerns:

1. How the dependencies are broken up

2. Whether to take dependencies at all ("buy or build")

It's still not clear to me how taking a larger dependency (with things I might not need) is inherently better than taking smaller dependencies. That seems like a question of trade-offs. What if there's an issue or security hole in a portion of the larger dependency that I didn't even use? For example, that log4j LDAP debacle, what if that were broken down into smaller dependencies so that you didn't even have the LDAP thing if you weren't using it?
by alex-mohr | 2025-06-11 16:10:35+00:00
And you could write a similar blog post about why Google "failed" at AI productization (at least as of a year ago). For some of the same and some completely different reasons.

- two competing orgs via Brain and DeepMind. - members of those orgs were promoted based on ...? Whatever it was, something not developing consumer or enterprise products, and definitely not for cloud. - Nvidia is a Very Big Market Cap company based on selling AI accelerators. Google sells USB Coral sticks. And rents accelerators via Cloud. But somehow those are not valued at Very Big Market Cap.

Of course, they're fixing some of those problems: brain and DeepMind merged and Gemini 2.5 pro is a very credible frontier model. But it's also a cautionary tale about unfettered research focus insufficiently grounded in customer focus.
by layer8 | 2025-06-11 16:10:56+00:00
> Solving a problem you already know exactly how to solve isn't interesting and isn't even intellectual exercise.

That isn't typically what my programming tasks at work consist of. A large part of the work is coming up with what exactly needs to be done, given the existing code and constraints imposed by technical and domain circumstances, and iterating over that. Meaning, this intellectual work isn't detached from the existing code, or from constraints imposed by the language, libraries and tooling. Hence an important part of the intellectual challenges are tied to actually developing and integrating the code yourself. Maybe you don't find those interesting, but they aren't problems one "already knows exactly how to solve". The solution, instead, is the result of a discovery and exploration process.
by fodkodrasz | 2025-06-11 16:10:57+00:00
Really nice, but it is unclear to me how time is represented with regard to timezones.

Some large countries may have multiple time zones, and itineraries can be confusing, this needs consideration from data modeling and ux side as well. The first glance at the UI didn't make it obvious for me how this is handled, I suppose local time is used always.
by billmcneale | 2025-06-11 16:12:00+00:00
A lot of that verbiage is absurd exaggerations and most of these things never became true.

> Being in denial about this isn't an excuse for these problems.

I'm not in denial, I know exactly what Denuvo entails. Whenever I buy a game with Denuvo (which pretty much never happens any more), I know exactly what I'm giving away, and I'm doing so because I'm getting something in return.

Similar situation to someone dropping their business card in a jar at the exit of a restaurant with the hope they'll win a free meal. They give a bit of personal information because they think they'll receive more in return.

You don't get to take away the choice of customers to decide how to manage their information.

As long as everyone is free to make that choice, nobody is getting hurt and the market forces will ultimately land on an equilibrium, like we have today.
by jcranmer | 2025-06-11 16:12:03+00:00
> FireFoxOS could have won the battle by just existing. 5% of the smartphone market would be worth much more than only 5% of the browser market.

"Just existing" isn't enough to get you to 5% of the market. At the time Mozilla started investing in B2G, it wasn't clear if the also-rans of the mobile OS marketplace were chasing, between them, 1% share or 10% share (now, it's clear that you're chasing 1% share).

As this postmortem points out (and the linked graphics developer's testimony discusses as well), Mozilla was heavily focused on the smartphone OS development, to the point of letting its existing browser competency atrophy. And despite all of that effort, the result can barely even be qualified as an also-ran.

In the counterfactual world where Mozilla didn't focus on trying to build a smartphone OS but instead pushed more for quality in its desktop and mobile browsers, or even invested in ecosystems like Node.js or Electron built on SpiderMonkey and Gecko respectively (which dovetails nicely with their everything-in-JS vision), their relevance would have been far greater, I think.
by usefulcat | 2025-06-11 16:12:43+00:00
> It's very possible that they never will, that instead the advertising will be so subtle nobody will be able to detect it.

I was going to write a rebuttal to this, about how more subtle forms of advertising are likely not very effective, and then I remembered subliminal advertising.

It's largely been banned (I think), but probably only because it's relatively easy to define and very easy to identify. In the case of LLMs, defining what they shouldn't be allowed to do "subliminally" will be a lot harder, and identifying it could be all but impossible without inside knowledge.
by PartiallyTyped | 2025-06-11 16:13:12+00:00
The problem with ChatGPT in a box and similar is that they are not made for live interactions. If you've tried chatGPT or claude on your phone with voice conversations you will see that it takes a while to think.

Humans on the other hand start processing the moment there's a response and will [usually] respond immediately without "thinking", or if they are thinking, they will say as much, but still respond quite quickly.
by creaturemachine | 2025-06-11 16:14:11+00:00
You think the data brokers aren't aware of varying spending habits? You might be surprised to learn the number of people living day-to-day, cheque-to-cheque who don't have the ability to stock up on much of anything. These are the consumers who are "ripe for the picking" in marketer's eyes. Back in the late 90's this would have been much harder too, probably working with not much more than cash register receipts.