skysight-inc/HackerNews huggingface dataset:
I'd love to be able to type:

man ffmpeg "-ss"

And have it jump right to the -ss option so I can see the expected format. For me the 99+% use case of man is to look up parameters of a command line or parameters of a programming function call. It's shocking that the UX for what I presume is the single most used use case is so broken.
Similar to a feature we offer in Userdoc, we can reverse engineer a codebase not themes, features (stories), and highly detailed descriptions.
In terms of of how useful it is, we’ve had many customers fing it extremely valuable… something that would have taken a human months now takes minutes.
> Data copied from devices during advanced searches at entry points into the U.S. gets saved for 15 years in a database searchable by thousands of CBP employees without a warrant.

This is incredibly sketchy. As a non-American (Canadian), I think I’d probably just prefer to be refused entry to the US at that point.
And with a digital system like Pix at least you can definitively prove you did pay, unlike with cash, unless you take extra steps when paying.
We're more likely to 'on shore' with 3D printer like automated fabricators (think next baby step between CnC machines and Replicators).

As far as any mention of jobs? Those are long gone and never coming back.

Trade still makes sense for raw inputs and any outputs though.
The uncharitable interpretation is that these theories are intentionally harmful and trying to push a particularly nefarious ideology for political gain.

The charitable interpretation is that this isn't real science.
The damage is bad but also entirely voluntary, and there are a lot of people who really want to believe that there is some kind of complex strategy where this is a negotiating ploy which won’t be around long enough to really change things.
That would, again, be a government problem not a PV one.

Also how would they even know. These things feed in 800 watts max, it's barely anything.

In my country we don't even have to get permission for big products. I have 9kW of PV on my roofs and just put it there, same with the battery. It's the grids companies' job to figure out how to make it work, not mine.
> That came out in 2009, correct? I wonder how much was spent on LLMs up to that point.

Quite a lot. Look back at the size of the teams working on language models at IBM, Microsoft, Google, etc, and think about all the decades of language model research going back to Shannon and quantifying the entropy of English. Or the costs to produce the datasets like the Brown Corpus which were so critical. And keep in mind that a lot of the research and work is not public for language models; stuff like NSA interest is obvious, but do you know what Bob Mercer did before he vanished into the black hole of Renaissance Capital? I recently learned from a great talk (spotted by OP, as it happens) https://gwern.net/doc/psychology/linguistics/bilingual/2013-... that it was language modeling!

I can't give you an exact number, of course, but when you consider the fully-loaded costs of researchers at somewhere like IBM/MS/G is usually at least several hundred thousand dollars a year and how many decades and how many authors there are on papers and how many man-years must've been spent on now-forgotten projects in the 80s and 90s to scale to billions of word corpuses to train the n-gram language models (sometimes requiring clusters), I would have to guess it's at least hundreds of millions cumulative.

> They're also not humble.

Funnily enough, the more grandiose use-cases of LMs actually were envisioned all the way back at the beginning! In fact, there's an incredible science fiction story you've never heard of which takes language models, quite literally, as the route to a Singularity, from 1943. You really have to read it to believe it: "Fifty Million Monkeys", Jones 1943 https://gwern.net/doc/fiction/science-fiction/1943-jones.pdf

> I don't know why CYC went that way.

If you read the whole OP, which I acknowledge is quite a time investment, I think Yuxi makes a good case for why Lenat culturally aimed for the 'boil the ocean' approach and how they refused to do more incremental small easily-benchmarked applications as distractions and encouraging deeply flawed paradigms and how they could maintain it for so long. (Which shouldn't be too much of a surprise. Look how much traction DL critics on HN get, even now.)
If you go deeper, you will find that China's modern history is full of suffering. After the victory of the Anti-Japanese War, the Kuomintang's post-war activities of taking over enemy property exacerbated the Kuomintang's corruption, which was regarded as "robbery" by public opinion, and the issuance of a large amount of currency led to serious inflation. Against this background, the Kuomintang leader Chiang Kai-shek took the initiative to launch an armed attack on the Communist Party. At that time, the Chinese people were already very disgusted with the war. After fighting the Japanese, they had to attack their own compatriots. Therefore, the Kuomintang was very unpopular, and the people's hearts turned to the Communist Party.
Show HN: What happens when you train an AI on your dog's face? Check my website
Out of curiosity (and boredom), I trained a specialized AI image model on photos of my dog to see what would happen. I ended up creating a website around it —PetPicture AI— that turns your pet into stylized characters like astronauts, knights, pirates, etc.

It started as a side project, but people have actually started using it for gifts, memorial portraits, and just for fun. The AI model gets fine-tuned on your specific pet, so the results are surprisingly personal.

It raised a few interesting questions for me:

What other applications are out there for quick, personalized AI models like this?

Where’s the line between novelty and meaningful customization?

And are $70 personalized pet portraits on Etsy a thing of the past?

Would love to hear your thoughts—especially around the tech, ethics, or product potential.
No. You gave me no new information.
Simple models are still useful: understanding exactly how and why they fail is instructive. There's a reason spherical cows in a vacuum come up again and again.
My family lived in a smallish town for a while, and I've gotta say that chain stores were a godsend. We did business with local shops whenever we could, but the stock variety was inherently much smaller than we found at Target (or even Dollar General). Much as we would have preferred to be able to pay our neighbor $1.50 for an item, it was awfully nice to find nicer items for $1 at the chain place.

Don't get me started at the local groceries which were associated with the large employer in town, a giant grocery wholesaler. I definitely want to support my neighbors, but I don't want to buy Local Brand Ketchup. I want Heinz, darnit.
The video on your landing page is too long for my tastes. A 1-5 minute video quickly showing the features would have more impact than your 20 minute walkthrough attempting to show every detail. The 20 minute video is more suitable for the documentation.
The idea of having a clear path to a good workout with limited equipment and time while traveling is something that I would be definitely interested in. I spend a lot of time traveling and a lot of time running on the boarding treadmill!
I've noticed DG stocks oddball sizes of packaged foods I've never seen anywhere else, not even at gas station convenience stores. It's usually their "large" size, and significantly smaller than the "large" size at other stores.

Next time I'm in there I'll check the unit price on those. I'm betting it's pretty bad, because usually if a business is doing anything distinctive like that, it's to screw people.
There are big racial, religious and cultural differences between Hawai'i and the mainland. I don't think anyone would be happy with any study's results.
Thanks for the links! Yes, my comment was based of a vague recollection of this kind of thing.

I'll read up on the '103 early hints' and 'preload' and 'preconnect' which might be close in enough practice.
But even that is impossible in the near-to-medium term.

The US just doesn't have the supply chain that China does. You need to be able to source the materials, and they have, effectively, entire cities dedicated almost wholly to producing those "intermediate" raw materials—eg, things like the grommets for the shoelaces, the big sheets of faux leather that can be cut to the right size & shape to make the body, etc. They also have the industrial capacity to do the molding for the soles, and produce the laces, at scale.

None of that exists here—in some cases not in the scale required, but in most cases not at all.

With across-the-board tariffs, the only way to fully avoid them is to start from the raw materials on up—mine and purify the minerals, raise the animals for their leather, pump and refine the oil for the plastics, harvest the trees for their rubber (are we still getting rubber that way...?). All here in the US.

Some of those raw materials likely don't even exist on our land in sufficient quantities to supply all our industrial needs, even setting aside how much time, money, and manpower it would take to set up the mines (and ranches, and oil fields, and rubber farms), the several stages of refining, and all the different ways the materials need to be shaped or alloyed or combined or extruded or or or...

And where is the money to fund all that going to come from? Clearly not the federal government (unless, I suppose, you posit that it's one or more of Musk's companies doing all this—I suppose that could be one of the aims here; just give Musk a monopoly over literally everything we make...). Every domestic company is going to be cutting back six ways from Sunday, because every product is going to cost massively more, so even the people still making as much money as they were last year are going to be buying less. And many people will be making less, either because of those same cutbacks (through layoff or hour/wage reduction), or because they were part of the federal agencies getting wantonly gutted for no good purpose, or among the companies that did business with them and now have lost a major customer.

Bringing manufacturing onshore for any significant percentage of our consumer or industrial goods is barely even a pipe dream. It's pure cloud-cuckoo-land fantasy.
Thanks for your time Tudor, I didn't intend by any means to diminish your work by associating it with your company. I had read the first two chapters of your open book, and I found it useful to understand how the idea of moldable development came about and what problem it was trying to solve.

I think it has finally clicked in my mind. You're building a way to represent systems that is richer than text, which ideally reduces cognitive load when trying to understand or modify them. Since every system is different, this requires custom code, and that's normally expensive. GT is an attempt at reducing the cost of developing custom meta-programming tools. Building systems with rich representations from the very start is moldable development. Is this accurate?
Consistent with what this German journalist at Handelsblatt reports https://nitter.net/HankeVela/status/1909259594787910009:

Brussels is watching amazed, as Trump destroys the US economy. "Nobody in the Commission thought that the US government would be this stupid and self-destructive," an EU official tells me. "That they would blow up their own country by letting ChatGPT make their trade policy."
EU officials are quietly preparing brutal countermeasures — but they’re in no rush.
Markets are doing the work for them. Here’s what’s happening behind the scenes:
Trump’s chaos is collapsing the US markets faster than any EU retaliation could.
Inside the Commission and among EU governments, the mood is: Don't give Trump an excuse to blame this on others.
Since February, the S&P 500 has dropped 20%.
European officials believe Trump's trade chaos is backfiring — and see no reason to escalate while the damage grows organically.
Inside the Commission and among EU trade ministers, the mood is calm — almost mocking.
“We’ll just let them stew,” another senior official says.
“If Trump doesn’t blink by the end of the month, we’re ready to hit hard.” But for now? They'll watch him sweat.
German Economy Minister Robert Habeck summed up the mood: “We're under no time pressure. The Americans are under pressure and are now in a position of weakness,” he said. “The damage can get even worse — that’s why we must act calmly, carefully, but decisively.”
Habeck also mocked Elon Musk’s call for a US-EU "zero-tariff" deal:
“It's sign of weakness and fear. If he has something to say, he should go to his President... Before we talk about zero tariffs, stop the nonsense and mess you just made in the last week.”
You can use Shelter to create your own work profile: https://f-droid.org/packages/net.typeblog.shelter/

Sadly it doesn't seem to work on all phones.
> i don't understand the obsession with jobs anyway

> people don't want a job, they want money and purpose

And society will not give them any of that without a job.

There, now you should understand "the obsession with jobs."

> most jobs barely deliver either

And no job delivers even less.
Author invents a programming language where the code is server-side JSX tags ("Early World") and the runtime evaluation is divided into as multiple lazily-evaluated stages ("Late World") in the browser.

Author unfortunately fails to justify or provide a demonstration that justifies the increased complexity over current methodology.

Interesting exploration of an unexplored space, but should be more concise (and use either better or no attempts at humour).

> In the Early world, you dissolve all the Early Components with interpret. This gives you a string that represents how to finish the computation in the Late world: [code]

> In the Late world, you parse that string, load the references, and then dissolve the Late Components with interpret. That leaves you with a tree of Primitives: [code]

> Finally, those Primitives are ready to be turned into DOM or some other format: [code]
In the time it takes you to do one good vote, the low-taste slopmaxxers can do 10 (or 20...?).
SCOTUS recently defined corporations as people, so why not AI?
Agree with the decoupling, but based on what happened during his last term, tariff doesn’t seem to work for decoupling right?

As you said, China just shifted their manufacturing to southeast asia and many of them are still backed by Chinese money. Also the made in US thing didn’t really happen either.
Yes. And so is bubblewrap - if security through isolation is a priority.
What happens if it looks freshly wiped?
Yea, they're not talking about high value manufacturing. They practically want to burn that down; it's all about bringing low value textile production back.
I don't think "careless" is a permanent, intrinsic attribute of a developer. It's something they learn to be, and it can be unlearned.

We respond to incentives. If a developer's only incentive is "we reward shipping as fast as possible" then they will carelessly ship slop as fast as they can type it. If that incentive is removed, they can learn a better way...
What's old is new again, see Beanie Babies, Funko Pops, etc.
Popcorn time seems like the safer bet
I was hoping they're launching a Coral kind of device that can run locally and cheaply, with updated specs.

It would be awesome for things like homelabs (to run Frigate NVR, Immich ML tasks or the Home Assistant LLM).
The problem is that for every example like yours where you run into very specific ORM edge cases, and seems completely reasonable, there are about 95 where a story like this is used as justification to spend months building something when a library would have actually worked out just fine and been implemented in weeks or days. And that running into these edge cases is used as justification for "throw the ORM out" not "don't use the ORM for this particular class of query."

One of my favorite features of Entity Framework from my .NET days is that it's very easy to just break out of the ORM functionality, even from within an EF-specific function, or to have multiple instances with slightly different configuration (I never had to do that last bit but I know it was possible a decade ago).
H&MV Engineering's Miyawaki Forest Project at MMS School, Hosur India
I think the context of it being titled: "Not So Very Serious Stuff" is missing
Avoid overloading your platform engineers
Have been looking for something like this and planning on making one, but one of the main things I need is ability to query a local container with no auth. Too many options for Dynamo clients need AWS creds, etc.

Is that supported here?
Show HN: I built an app to generate story relationships using Mermaidjs
I took that request not literally as "make more sales" (they can't control demand, after all), but rather as "stock more varieties." Your local Dollar General is likely going to have the same eggplants available as all the other ones in the country, or at least that's the idea behind that line.
is there anything super differentiating to this tool other than a nice UX on top of claude/chatgpt? don't get me wrong, this certainly has its merits/use cases, but like OP, i'm actually also looking for a tool that is a bit more interesting/advanced than nice CRUD on top of prompt engineering because I know how to write good prompts and am more than happy to use claude's tool to get stories/acceptance criteria written for me into csv format that I can drop into linear or something.

my more advanced use case would be an actual thought partner/cofounder that can go out and do laborious things like agentic researching through reddit, thinking through next steps on what we should work or even pivoting based on given market trends/conditions. i don't think anything like this exists that is actually good
That’s a valid concern, and I’m aware of the risks involved.

Webtor is a tool, not a content provider — it doesn’t index or host anything itself. Users supply their own torrent or magnet links, and the system processes them on demand, like a torrent client with a browser interface.

That said, if someone uses the hosted version to stream content that triggers a copyright complaint — yes, I may receive a DMCA notice, and in that case I’ll take the content down as required.

This is also exactly why the project is fully open-source and self-hostable — anyone can run it privately, with full control and different legal boundaries depending on their jurisdiction.
Can't tell if you are being sarcastic, but yes of course there is.
sorry :’(
Survey of Working Arrangements and Attitudes [pdf]
In the latest report I can find (admittedly ~10 years old), Hawaii has some of the worst oral health and highest rates of tooth decay in the nation:

https://www.civilbeat.org/2020/02/why-hawaii-continues-to-ke...
Does anyone more knowledgable know if US citizen 5th amendment rights still applies at the border, i.e. I can't legally be compelled to unlock my phone at the US border? Law is not my area of expertise at all. (The article might have addressed this but it's behind a paywall.)

Thanks in advance.
I can sort of relate. If you hire an expert, you need to trust them. If you don't like what they say, you're inclined to want a second opinion. Now you need to pay two experts, which is often not reasonable financially, or problematic when it comes to corporate politics. And even if you have two experts, what if they disagree, pay a third?

To manage this well, you need the courage to trust people, as well as the intelligence and patience to question them. Not everybody has that.

But that aside, I think business people generally like having (what they think are) strong experts. It means they can use their people skills and networks to create competitive advantage.
Thanks for the feedback.

Yes, Its way too long for a demo. I'm working on a short 3-4 minute version to replace it.
Has anyone done deconstruction of his thesis / arguments and found his predictions to be lackluster?
What is the missing bit between your last story paragraph (before the summary) and the country dissolving?

I'm not arguing I just need help connecting the dots from "poor rural people don't want to compete with immigrants for the high or low paying jobs" to total country collapse.
>The only problem is taking into account those that are not good at public speaking.

A very common concern, but overblown in my experience. If you notice, I never actually said "judge the candidate's presentation skills" (or anything of the sort) in why I think this process is great. The presenation is really just level-setting; the candidate gets to set the topic and give sufficient context for a conversation to occur. The presentation is at most the first 15 minutes out of a ~3 hour in-person interview process. That's how little it matters.

It's the Q&A and subsequent discussions that matter.
Because phones are really useful.

I've got an old blackberry lying around somewhere. Even though that helps with "can you communicate at all with people not in shouting distance", there's a lot of stuff that just presumes you have the ability to install an app or visit a website — and that blackberry is so old that its web browser can't handle current standard HTTPS encryption.
As someone who worked at a corporate-private-equity-owned Dollar store (but not DG, specifically), I highly doubt that's true.

They "manage stock on demand" in that they count SKUs sold and replenish as needed / as they have availability, sure. And they probably do a inventory / count day once in a while, to account for loss(shrink). But that's about it.

They might occasionally get to pick from a few custom options from the internal catalog, but they likely aren't doing any kind of active stock management, and store staff (even store managers) likely have close-to-zero direct influence over what is carried.
https://www.gq-magazine.co.uk/article/the-best-fights-betwee...

Cohn starts assembling every piece of economic data to try and convince Trump that American workers did not aspire to work in assembly factories. “See,” he says to Trump at one point, “the biggest leavers of jobs – people leaving voluntarily – is from manufacturing.”

“I don’t get it,” replies Trump.

Cohn soldiers on. “I can sit in a nice office with air conditioning and a desk, or I can stand on my feet eight hours a day. Which one would you rather do for the same pay?”

Trump still wasn’t buying it.

Eventually, exasperated, Cohn simply asks Trump: “Why do you have these views?”

“I just do,” Trump replies. “I’ve had these views for 30 years.”

“That doesn’t mean they’re right,” says Cohn. “I had the view for 15 years I could play professional football.”
Interesting, I had a similar approach while studying philosophy. I much prefer to think and write than read, so I'd often think through a philosophical problem first, and then read others on the topic. I'd find that this order helped me grasp a topic well.

I don't know if I do the same thing with programming.
That's the first step to creating a protocol. The next step is to formalize it, publish it, and get others to adopt it. That way, it's one less thing for LLMs to hallucinate on. Otherwise everyone has different conventions and LLMs start making stuff up. That's all these are.
Exploring Icechunk scalability: untangling S3's prefix story
I agree with your opinion here, not sure we should refer to it as MCP security however, given that 'MCP doesn't have security flaws in the protocol itself'
Google has a significant advantage over other hyperscalers because Google's AI data centers are much more compute cost efficient (capex and opex).