MurphyA/hacker-news huggingface dataset:
by victor_24 | 2025-08-14 16:50:17+00:00
Thanks, ngl I didn't know much about react-three before and I instead went with what I'm comfortable with.

Though another good reason would be that theres a lot of web assembly and stuff going on making it more difficult. For example, I couldn't get the USD and MJCF viewers working natively in React like the URDF viewer so I settled for iframe's with pub/subs for communication.

Though if someone knows a better way than I'd love to hear from em haha.

Here's the github btw: https://github.com/jurmy24/mechaverse
by otterley | 2025-08-14 16:50:22+00:00
On the contrary, Kiro (https://kiro.dev) is showing that it can be done by breaking down software engineering into multiple stages (requirements, design, and tasks) and then breaking the tasks down into discrete subtasks. Each of those can then be customized and refined as much as you like. It will even sketch out initial documents for all three.

It’s still early days, but we are learning that as with software written exclusively by humans, the more specific the specifications are, the more likely the result will be as you intended.
by sunscream89 | 2025-08-14 16:50:23+00:00
> Why are they building bunkers underground if everything is fine?

Those floating in sensory deprivation tanks for years all agree an off grid bunker is the ultimate insulation from the populous power loots from behind detached and unassumed minds.

These are the controls you will pay to deal with those “other issues” for the decades to come. We are only playing upon a ground work for perpetual conflict here.

Unless you know why that is important for the consolidation of power (need ever more capable enemies in others to help fight against) yours are not the ruling class, and inheritors of the future America are of another.
by blackmanta | 2025-08-14 16:50:27+00:00
I have been using it for task tracking, research, and code search. When using CLI tools, I found that the LLM's were able to find code in less tool calls when I stored my codebase in the tool. I had to wrangle the LLMs to use the tool verse native rgrep or find.

I am also trying to stabilize PDF text extraction to improve knowledge retrieval when I want to revisit a paper I read but cannot remember which one it was. Most of these use cases come from my personal use and updates to the tool but I am trying to make it as general as possible.
by yieldcrv | 2025-08-14 16:50:30+00:00
I don’t believe the breadth of progress towards various dead ends will occur at the same speed to narrow down good treatments, I am excited about some promising treatments and an acceleration of those

Find another funding sources, a subsidized university in the US isn’t the only path, if its not found then your reality will be exactly as described. We agree! Thanks for your attention to this matter.
by xscott | 2025-08-14 16:50:43+00:00
Maybe this will be a good way for users to communicate to the LLMs, but I wonder if it would be better for LLMs to generate code in a more disciplined language. Something like Eiffel with pre/post invariants or Lean/Rocq for provable correctness. Then a rigorous compiler can check the LLM emitted what it promised. The verbosity is unpleasant for conventional human programmers, but it's almost a non-issue for the LLM.
by _DeadFred_ | 2025-08-14 16:51:05+00:00
And to build new factories you need things like steele, etc. Lots of which now have... high tariffs on them.

The policy is not intended to bring back manufacturing, or it would be tuned to enable/encourage the inputs needed for bringing back manufacturing.

But tariffs sure have encourage a lot of people to meet with the president and make 'special' deals with him to get themselves/their interests exemptions.
by griffzhowl | 2025-08-14 16:51:14+00:00
I don't agree with the parallel. Submarines can move through water - whether you call that swimming or not isn't an interesting question, and doesn't illuminate the function of a submarine.

With thinking or reasoning, there's not really a precise definition of what it is, but we nevertheless know that currently LLMs and machines more generally can't reproduce many of the human behaviours that we refer to as thinking.

The question of what tasks machines can currently accomplish is certainly meaningful, if not urgent, and the reason LLMs are getting so much attention now is that they're accomplishing tasks that machines previously couldn't do.

To some extent there might always remain a question about whether we call what the machine is doing "thinking" - but that's the uninteresting verbal question. To get at the meaningful questions we might need a more precise or higher resolution map of what we mean by thinking, but the crucial element is what functions a machine can perform, what tasks it can accomplish, and whether we call that "thinking" or not doesn't seem important.

Maybe that was even Dijkstra's point, but it's hard to tell without context...
by rsynnott | 2025-08-14 16:51:17+00:00
This is true if and only if those products have no imported inputs, and if tariffs aren't causing general inflation which is forcing up wages of the people making them via cost-of-living increases.

Ultimately, unless you're an autarky (in which case tariffs are in any case irrelevant), high tariffs should be expected to lead to broad price increases, even for goods which are not directly imported.
Can't open bank account due to silly address mismatch
by mring33621 | 2025-08-14 16:51:33+00:00
Chicago, IL, US Citizen here

I'm trying to open a new checking account.

I just got divorced and moved to a condo, which I recently purchased outright.

The bank, BMO, requires one of: a matching driver's license; a lease; a mortgage statement or a utility bill.

Well, I haven't yet updated my license, because I just moved. Since I own outright, I have neither lease nor mortgage. Ok here's my utility bill...

Approval Denied: Utility bill says "BSMT" but application says "Unit G"

Well, my condo is a "Garden Unit", sometimes called "Unit G", but People's Gas hard-coded it as "BSMT".

BMO says I should reapply with "BSMT"

So no one really cares about the actual address. They only care about exact string match.

UGH!
by bee_rider | 2025-08-14 16:51:34+00:00
> I'm not sure that's the standard you want to base this argument on, because in most cases, the "professional approach" amounts to "if you come here at all, you're consenting to be photographed for publication, take it or leave it lol". FB had a stronger standard than this.

It depends on the event and the nature of the venue. But yes, it is a bad analogy. For one thing Facebook is not an event with clearly delineated borders. It should naturally be given much higher scrutiny than anything like that.
by msgodel | 2025-08-14 16:52:34+00:00
I'm sure they'll come out with agent software for things like unitree's android. Personally I think androids are a complete waste of effort and money. They're incredibly expensive both to manufacture and maintain, impossible to make safe, difficult to control, and absolutely drink power just standing.

Putting a low DOF arm on a roomba just doesn't sell as well to investors though so you keep hearing about them.
Ask HN: NLP Using Chat UI
by malshe | 2025-08-14 16:53:29+00:00
I use OpenAI API for doing NER tasks and also aspect-based sentiment analysis. It works pretty well. Recently, someone asked me whether ChatGPT can do the same analysis by uploading the text in the chat UI. I tried it and found the results pretty weak compared to what I get from the API. The reason for this is that ChatGPT just writes Python code and uses off the shelf NLP modules to conduct this task.

Any ideas for getting around this issue? I want ChatGPT to generate the text not the Python code and execute that code.
by rchaud | 2025-08-14 16:53:41+00:00
> Big sis Billie continues to recommend romantic get-togethers, inviting this user out on a date at Blu33, an actual rooftop bar near Penn Station in Manhattan. “The views of the Hudson River would be perfect for a night out with you!” she exclaimed. ◼

I was wondering what the eventual monetization aspect of "tools" like this were. It couldn't just be that the leadership of these companies and the worker drones assigned to build these things are out of touch to the point of psychopathy.
by bluenose69 | 2025-08-14 16:53:49+00:00
I agree. Here are some things that I (a science researcher and professor) like about R and CRAN:

1. There are a lot of build checks for problems involving mismatches between documentation and code, failed test suites, etc. These tests are run on the present R release, the last release, and the development version. And the tests are run on a routine basis. So, you can visit the CRAN site and tell at a glance whether the package has problems.

2. There is a convention in the community that code ought to be well-documented and well-tested. These tend not to be afterthoughts.)

3. if the author of package x makes changes, then all CRAN packages that use x will be tested (via the test suite) for new problems. This (again because of the convention of having good tests) prevents lots of ripple-effect problems.

4. Many CRAN packages come with so-called vignettes, which are essays that tend to supply a lot of useful information that does not quite fit into manpages for the functions in the package.

5. Many CRAN packages are paired with journal/textbook publications, which explain the methodologies, applications, limitations, etc in great detail.

6. CRAN has no problem rejecting packages, or removing packages that have problems that have gone unaddressed.

7. R resolves dependencies for the user and, since packages are pre-built for various machine/os types, installing packages is usually a quick operation.

PS. Julia is also very good on package management and testing. However, it lacks a central repository like CRAN and does not seem to have as strong a culture of pairing code with user-level documentation.
by incomingpain | 2025-08-14 16:53:55+00:00
https://rog.asus.com/us/laptops/rog-flow/rog-flow-z13-2025/s...

The out of stock one has 128gb of unified system ram. AMD 395 ai chip.

So easily run 70B models on that much vram; but slower, probably in that 30-40tokens/s which is very usable.

Qwen 3 30b will be in that 60 tokens/s range.

llama 4 scout will be around 20-30tokens/s
by pavon | 2025-08-14 16:54:02+00:00
For people who were actually interested in using Ada, the early poor tooling was the main impediment. However, I think the bigger issue is that it was moving directly against the cultural headwinds at the time.

The immediate response I heard anytime Ada was mentioned was that it was a designed-by-committee language[1] that couldn't even be fully implemented due to a theoretically impossible specification[2]. It was made by a bunch of bureaucratic stiffs and was all about constraining the developer with stupid rules and bogging them down with verbosity. It was contrary to the freewheeling nature of the PC developer culture that sprung up in the 70's and continued through the 80's, and then evolved into the dot-com developers of the 90's and 00's.

It took decades of wandering through the deserts of "Real Developers don't write buffer overflows" on one end, and "Performance doesn't matter, and a sufficiently smart compiler will provide it anyway" on the other to get to the point where mainstream developers wanted a language that combined the safety of high-level languages with the control of low-level languages.

[1] This is false, it was selected in a contest with each entry developed independently.

[2] True but overrated
Show HN: I "hacked" Cursor and turned it into a general-purpose AI agent
by dabochen | 2025-08-14 16:54:15+00:00
I've been using Cursor for some non-coding tasks and it worked perfectly. The problem is that the VS Code IDE is designed for coding, and I needed a better interface for those non-coding tasks. Then I built a few extensions to add the cutom layer: 1.CSV Viewer for data analytics, renders csv files as an editable spreadsheet 2.Slide Maker, renders .md file as slides, and can be created and edited through the Cursor agent. 3.I18n Manager, loads multiple translation files in a single table side by side while Cursor updates the translation through the agent.

To make this work for everyone, I open sourced the core component as a toolkit, which can be used to vibe code your custom extension. It comes with a mega prompt template, by adding your requirement, you can get a fully working extension with just one prompt.

I did this partially as an experiment to see whether software distribution in the AI age can have the user contribute to the last mile with the help of vibe coding.
by SilverElfin | 2025-08-14 16:54:24+00:00
Critical pedagogy is not rare, but very common. I am bringing it up because the ALA pushes and practices it, as do most individual librarians in cities, whose personal politics aligns with the ALA, and whose libraries are members of ALA. That’s why public libraries in cities have a disproportionate amount of progressive biased books visible when you walk in, and virtually nothing from other ideologies.
by gdbsjjdn | 2025-08-14 16:54:35+00:00
> Writings on metacognition date back at least as far as two works by the Greek philosopher Aristotle (384–322 BC): On the Soul and the Parva Naturalia

We built a box that spits out natural language and tricks humans into believing it's conscious. The box itself actually isn't that interesting, but the human side of the equation is.
by saghm | 2025-08-14 16:54:36+00:00
Well, yeah, obviously if you're perfectly diligent and never screw up, it's possible to be correct 100% of the time. In my experience, even extremely smart diligent people who are good at asking the right questions and reading documentation still mess up sometimes, which is the point I'm trying to make. If you genuinely don't ever encounter this issue, I guess everyone I've ever worked with and I just aren't as perfect as you and the people you've worked with, but I'd argue that you're not having the average experience of working with regular people if that's the case. Most of us are mere mortals who are sometimes fallible, and while the exact underlying mechanism of how we make mistakes might not be literally identical to the issues described in the article, my point is that the difference might just be a matter of degree rather than something fundamentally different in what types of errors occur.
by homebrewer | 2025-08-14 16:54:47+00:00
You're reading an extremely biased sample of experiences. It's probably the opposite: 90% haven't tried it, 9% tried and didn't see any reason to switch, and around 1% have switched and won't shut up about it. For an advanced git user, it doesn't offer all that much. I used it for a couple of weeks and can't say that it saved me any time or any amount of work; it was either zero, or so close to zero that I wasn't able to notice it.

When Linus and his lieutenants switch over and recommend it as loudly as some do here, then I'll take another look. Very unlikely IMHO.
by JackFr | 2025-08-14 16:54:50+00:00
- When we have a report of a failing test before fixing it, identify the component under test. Think deeply about the component and describe its purpose, the control flows and state changes that occur within the component and assumptions the component makes about context. Write that analysis in file called component-name-mental-model.md.

- When ever you address a failing test, always bring your component mental model into the context.

Paste that into your Claude prompt and see if you get better results. You'll even be able to read and correct the LLM's mental model.
by danielbln | 2025-08-14 16:54:56+00:00
I use LLMs every single day, for hours. Iw as suuuuuuper into VR in early-mid 2010s but even that didn't see that much adoption among my peers, whereas everyone is using LLMs.

And NFTs was always perceived as a scam, same as the breathless blockchain no sense.

LLMs have many many issues, but I think they stick out as different to the other examples.
by abeppu | 2025-08-14 16:54:59+00:00
While I think the idea of LLM-based tooling and languages co-evolving is interesting, from this limited description, I think this isn't a helpful direction.

> “So instead of writing three applications, you write it in a special programming language, which is basically English, which describes how you want to see this application in a very specified way, and then AI agents, together with JetBrains tooling, will generate the code of all of these platforms,”

Is the process of generating code for each platform from the high-level specification deterministic, predictable, and obeying some natural invariants? Or is it a stochastic and unpredictable? If Alice publishes her open source project with the specification code, and Bob has access to a slightly different set of models at a later date, will Bob be able to reproduce the same generated artifacts that Alice did?

If you _can_ make everything deterministic and well-behaved, does it need to involve AI agents? Or can this effectively turn into an DSL which happens to be English-like, and a code-generation tool?
by FirmwareBurner | 2025-08-14 16:55:22+00:00
>The stated goal is US dominance of the AI field

Any country tries to dominate any field if they can do it, it's just human nature. Why is that a bad thing?

That constant competition for superiority between nations is how humanity has evolved from hunter gatherer to having tractors, microwave ovens, airplanes, internet and penicillin.
by tracker1 | 2025-08-14 16:55:26+00:00
I would argue that most Republicans don't give a flying fuck what race someone is, and doesn't feel it should make a difference in terms of political opinion or approach to solving issues. All the struggle sessions in the world won't actually change or fix anything other than to foster divide that has only increased in the past couple decades. A lot of it straight out of communist doctrine in order to tear down society.

This isn't to say that racism doesn't exist, but it's not nearly as big as most make it out to be, and there's far more anti-white hate than there is white racism today. White racism is absolutely outcast as a rule today and the typical Republican wants and has nothing to do with it.
by rsynnott | 2025-08-14 16:55:33+00:00
The US and EU have reported broadly similar inflation numbers for the last five years or so, with the EU generally being a little lower. If your thing was true, you'd expect a vast gulf in prices to have opened up, but it doesn't really seem to have.

Anecdotally, I was in SF once or twice a year for a few years before the pandemic, and it felt like mostly similar prices to Dublin (an expensive European city). I've also been back a few times since the pandemic, and it now feels somewhat more expensive than Dublin, but not dramatically. Which is about what you'd expect if the official inflation figures were broadly correct. Obviously this is super-anecdotal, mind you.
by at-fates-hands | 2025-08-14 16:55:40+00:00
Just remembered them coming out with a crypto coin back in 2018 and the first link was to an Investopedia story from yesterday:

https://www.investopedia.com/a-flash-in-the-pan-the-strange-...

Unfortunately for Kodak, its foray into digital assets coincided with the onset of crypto winter—the cyclical slump in crypto markets that tends to follow periods of speculative frenzy. The price of bitcoin slid from a record high of more than $20,000 in late 2017 to less than $4,000 in December 2018.

In October 2018, KODAKOne launched a beta version of its licensing portal, which reportedly generated $1 million in licensing claims in its first two months.But the portal never exited beta mode, nor was KODAKCoin ever integrated with the platform.
by trod1234 | 2025-08-14 16:55:44+00:00
Respectfully, I sound like a Computer Engineer because I've worked alongside quite a number of them, and the ones I've worked with had this opinion too.

> A cursory look at a nix system would show ... <three things concattenated together>

This doesn't negate or refute the pigeonhole principle. In following pigeonhole there is some likelihood that a collision will exist, and that probability trends to 1 given sufficient iterations (time).

The only argument you have is a measure of likelihood and probability, which is a streetlight effect cognitive bias or intelligence trap. There's a video which discusses these type of traps on youtube, TED from an ex-CIA officer.

Likelihood and probability are heavily influenced by the priors they measure, and without perfect knowledge (which no one has today) those priors may deviate significantly, or be indeterminable.

Imagine for a second that a general method for rapidly predicting collisions, regardless of algorithm, is discovered and released; which may not be far off given current advances with quantum computing.

All the time and money cumulatively spent towards Nix, as cost becomes wasted, and you are left in a position of complete compromise suddenly and without a sound pivot for comparable cost (previously).

With respect, if you can't differentiate basic a priori reasoned logic from AI, I would question your perceptual skills and whether they are degrading. There is a growing body of evidence that exposure to AI may cause such degradation as seems to be starting to be seen with regards to doctors and their use and diagnostics after use in various studies (1).

1: https://time.com/7309274/ai-lancet-study-artificial-intellig...
by npteljes | 2025-08-14 16:56:22+00:00
This is now besides the original point, which was that in cryptography's case, "lightweight" would work like "alternative" works for "alternative medicine".

However if we shift the focus to marketing, lightweight works nothing like that in that regard. They use it to imply that the product is fast, lean, to the point, contains nothing unnecessary, has fewer, but solid options, energetic, aspiring. Implying that the other products are heavier, bulkier, cumbersome, bloated, slow, overcumbered, overly complex.

It's already used in for example LDAP, which I don't think anyone scoffs at (well, with regards to the lightweight qualifier), and lightweight software has its own wiki page, implying that the usage of the term wrt/ software is widespread enough to be notable. They write that this means "a computer program that is designed to have a small memory footprint, low CPU usage, overall a low usage of system resources".

All this to write that lightweight conveys a good meaning indeed. About the only widespread negative usage I can think of is when people call others "lightweights", implying that they performed below expectations.
by adrianwaj | 2025-08-14 16:57:21+00:00
Maybe ZephApp, when it's actually released. But would be interesting to record day-to-day conversations (face-to-face using voice recognition) to train a virtual doppelganger of myself and use it to find uncommon commonalities between myself and others.

What would someone do with a year's worth of recorded conversations? Would the other parties be identified? How would it be useful, if at all? How about analyzing the sounds/waveform rather than words? (eg BioAcousticHealth / vocal biomarkers)

Perhaps typing into a text-field is the problem right now? Maybe have a HUD in a pair of glasses. Better than getting a brain chip! Most recent or most repeated conversations most important. Could lead to a reduction in isolation within societies, in favor for "AI training parties." Hidden questions in oneself answered by a robot guru as bedtime story-telling but related to the real-world and real-events.

Smart Glasses --> Smart Asses

Vibe Coding --> Tribe Loading

Everything Probable --> Mission Impossible