MurphyA/hacker-news huggingface dataset:
by mad_tortoise | 2025-10-21 16:40:30+00:00
I am white. I am surrounded by white people. The standard of living of just about every white person I know has increased in the past 25 years.

It's really simple, we as white people have been given - historically and now - just about every advantage a minority can have. If a white person or their parents couldn't make the most of that well then that's ok, because equality and equity are the goals. And just because a PoC are succeeding more now, does not mean white people are suffering in the least.
by squeedles | 2025-10-21 16:40:55+00:00
I happened to buy an Atari 800 at the peak of this and was amazed at the metal castings that surrounded everything. That little 6502 could survive small arms fire! That shielding was far beyond anything else at the time.

And you make a good point about the SIO bus - this was when every other machine had unshielded ribbon cables everywhere. Their devotion to daisy chained serial really crippled them in terms of speed, and when USB finally arrived, I initially scorned it due to the prejudice formed by my experience with the Atari peripherals! It turns out they were on the right track all along!
by Karrot_Kream | 2025-10-21 16:40:59+00:00
What signals have you seen that point to investment being predicated around AGI? Boosting Nvidia stock prices could also be explained by an expectation of increased inference usage by office workers which increases demands for GPUs and justifies datacenter buildouts. That's a much more "sober" outlook than AGI.

In fact a fun thing to think about is what signals we could observe in markets that specifically call out AGI as the expectation as opposed to simple bullish outlook on inference usage.
by maroonyo | 2025-10-21 16:41:08+00:00
Yes, parts of it were AI ,where is problem if i use AI assistent ? README accurately describes what the server does and the architecture behind it. The project itself is fully hand-coded in C and Assembly, with real benchmarks and working modules. It’s a new project i’m aware there’s still room for improvement, and I’ll keep refining it as I learn. I appreciate your feedback; constructive criticism helps the project grow.
by Self-Perfection | 2025-10-21 16:42:20+00:00
It has really got unreliable in my experience.

Often desktop client just cannot connect to mobile. At first I noticed that this happens when desktop client starts to output in logs these (reported [1]):

kdeconnect.core: Too many remembered identities, ignoring "<id of KDE Connect on my android device>" received via UDP

Restarting desktop client helped, so I wrote watcher that monitors logs for such lines and restarts kdeconnect. But it turned out to be insufficient. Now I have this script running in background to restart kdeconnectd whenever connection is missing, and finally can use KDE Connect reliably:

#!/bin/dash -x while sleep 1m; do nmcli connection show --active | grep wifi || continue kdeconnect-cli -l | grep reachable && continue # notify-send 'No reachable devices via kdeconnect. Restarting' systemctl --no-pager --user status app-org.kde.kdeconnect.daemon@autostart.service systemctl --no-pager --user stop app-org.kde.kdeconnect.daemon@autostart.service killall kdeconnectd systemctl --no-pager --user start app-org.kde.kdeconnect.daemon@autostart.service done

[1] https://bugs.kde.org/show_bug.cgi?id=506563
by daxfohl | 2025-10-21 16:42:43+00:00
I wonder if a linear-space, constant-time model like RWKV or S4 would work better here. For audio, I wouldn't think you'd need long range context, and all-to-all mapping seems like overkill.

Maybe a transformer could be running in parallel, but much lower frequency, where the linear model feeds it "summary" tokens once per second, whose information would mostly be "text", but also some hint of emotion and other cues. Then the output of this could be fed back to the linear model so that it would know what it was saying and with what emotion. Basically the transformer would be the low frequency long range context thinker (and feeler), and the linear model would translate that to and from phonetics.

They'd be trained in parallel, so those transformer tokens would attain meaning at training time, not something that would have to be pre-defined. So it'd still be purely phonetic e2e, no direct translation to text. It could even end up being a good way to compress text for LLMs, since low-value words might have smaller representation in the token.

Probably would never reach the level of text based LLMs for logic and code and such, but that somewhat parallels humans anyway; it's pretty hard to explain an algorithm in detail in plain conversation.
by everforward | 2025-10-21 16:42:51+00:00
> Your laptop is unquestionably better because it was constructed with the help of automated CNC machines and PCB assembly as opposed to workers manually populating PCBs.

This is a fundamentally flawed analogy, because the problems are inverted.

CNC and automated PCB assembly work well because creating a process to accurately create the items is hard, but validation that the work is correct is easy. Due to the mechanics of CNC, we can't manufacture something more precise than we can measure.

LLMs are inverted; it's incredibly easy to get them to output something, and hard to validate that the output is correct.

The analogy falls apart if you apply that same constraint to CNC and PCB machines. If they each had a 10% chance of creating a faulty product in a way that can only be detected by the purchaser of the final product, we would probably go back to hand-assembling them.

> Some companies can try to use automation to stay in place with lower headcount, but they’ll be left behind by competition that uses automation to move forward.

I suspect there will be a spectrum, as there historically has been. Some companies will use AI heavily and get crazy velocity, but have poor stability as usage uncovers bugs in a poorly understood codebase because AI wrote most of it. Others will use AI less heavily and ship fewer features, but have fewer severe bugs and be more able to fix them because of deep familiarity with the codebase.

I suspect stability wins for many use cases, but there are definitely spaces where being down for a full day every month isn't the end of the world.
by insane_dreamer | 2025-10-21 16:43:02+00:00
I have a model 3 and have tried FSD several times (Tesla regularly offers free one-month trials), and I've only found it to work well for long highway inter-city drives. I'm generally an early adopter and was eager to try it. It did _not_ work well for urban driving -- at least not in our city -- it acted like a new, nervous driver. I felt uncomfortable the entire time. I convinced my wife to try it for a day and she hated it and will never touch it again.

If you can't trust it 100% for urban driving, then FSD provides almost no benefit over more basic adaptive cruise control, early collision detection and lane departure warnings, etc. You still have to sit there and focus on the ride. The idea that I can now sit in the backseat and catch a nap or do some work or whatever, is still sci-fi at this point.
by mattofak | 2025-10-21 16:43:08+00:00
The uAvionix EchoESX [1] claims 4W continuous and with antenna probably adds 400g (0.8lb.)

WindBorne claims "12+ days typical flight, with demonstrated capability for 75+ day missions." So 1150Wh minimum (80Ah at 4S, which is probably like 16lb.) But you're up in the atmosphere and probably need to heat that battery so... more. But we're already at 18lb additional weight... Maybe you could offset with solar panels...

But, given that the entire balloon and payload weighs 2.5lb we're already way off the edge of feasibility for an active ads-b out.

Maybe there's something that would only listen and then respond when it heard something and that would reduce the power draw. But we're needing something 2 orders of magnitude less massive.

[1] https://uavionix.com/general-aviation/echoesx/
by mentalgear | 2025-10-21 16:43:14+00:00
The fact that OpenAI is pushing Sora, and Altman now even hinting at introducing "erotic roleplay"[0] makes it obvious: openAI has stopped being a real AI research lab. Now, they’re just another desperate player in a no-moat market, scrambling to become the primary platform of this hype era and imprison users onto their platform, just like Microsoft and Facebook did before in the PC and social era.

[0] https://www.404media.co/openai-sam-altman-interview-chatgpt-...
by mindslight | 2025-10-21 16:43:28+00:00
Trump was elected with a mandate to destroy the government, and that's what the Republicans are [finally] doing. Anybody who voted for Trump 2024 expecting something other than anarcho-capitalism and destruction of what we consider the USA was deluding themselves - the detailed agenda was telegraphed well ahead of time.

Two decades ago, having just digested the Cypherpunk's Manifesto, I might have been sanguine, or at least tepidly eager. Older me is horrified - I don't see the same anarcho-capitalism conquering China any time soon, and yet our "taxes" have even gone up for this new revenue stream based around shaking down international trade.
by nickjj | 2025-10-21 16:44:02+00:00
I thought about SyncThing in the past but was reluctant because I don't have a centralized server and I don't always want 1 device to be the definitive source of truth.

For example:

- On desktop, wrote a blog post - On desktop, pushed my blog post folder to my laptop - On laptop, publish the blog post 3 days later - On laptop, fix a typo and publish the post - On desktop, pull in the changes from the laptop

The same type of situations happen with KeePassXC's database file. Sometimes I make an update on my phone or laptop and want it sent to my desktop, other times I make the update on my desktop and want it sent to the other 2 devices.

With SyncThing, would this overwrite files on the wrong device as soon as I "sync"?
by ssk42 | 2025-10-21 16:44:29+00:00
People do build in public from vibe-coding, absolutely. This tells me that you have not done your research and just gone off of general guesses or pessimism/frustration from not knowing how to use the tool. The easiest way to be able to find this on Github is to look for where Claude is a contributor. Claude will tag itself in the PR or pushes. Another easy way to that I've seen come up for this is there is a whole "BuildInPublic" tag in the Threads app which has been inundated with Vibe coding. While these might not be in your algorithm, they do exist. You'll be able to see that while there is a lot of crud that there are also products being made are actually versatile, complex, and completely vibe-coded. Most people are not making up these stories. It's very real.
by randunel | 2025-10-21 16:44:50+00:00
What does "historically disadvantaged communities and persons" mean in ZA? Any racial bias present in this phrase, which is apparently in multiple laws?

I just started looking and, for example, when issuing licences to extract water, the authorities must, in accordance with the law, "consider [...] the need to redress the results of past racial and gender discrimination". Why would a water licence need such a consideration, and is it discriminatory in ZA's context?
by rectang | 2025-10-21 16:44:55+00:00
Does the product live up to its name? By which I mean, how often will chickens get squished (or more likely, maimed) because they fail to get out of the way of the door as it closes?

Power windows in cars often come with automatic reversal mechanisms, which are designed to detect obstructions and prevent the window from closing on them. I don't see mention of such a safety feature here, though.

Maybe making the Chicken Squisher 3000™ close very slowly would reduce the likelihood of a squish event? In the video, it's not like the door slams shut, but it's not slow.

Or maybe chickens, dumb as they are, have quick enough reaction speed that the danger of squishing is negligible.
by quantified | 2025-10-21 16:44:56+00:00
Porn has driven everyday tech. Online payment systems, broadband adoption.

Porn (visual and written erotic impression) has been a normal part of the human experience for thousands of years. Across different religions, cultures, technological capabilities. We're humans.

There will always be a market for it, wherever there is a mismatch between desire for and access to sexual activity.

Generate your own porn is definitely a huge market. Sharing it with others, and then the follow-on concern of what's in that shared content, could lead to problems.
by michaelcampbell | 2025-10-21 16:45:24+00:00
I know of 1 tech person at Amazon that claims to have liked it there; the husband of a co-worker (albeit 6 years ago). He was some in-house consultant type role though and few all over the world to help the internal teams straighten out whatever AWS mess they'd gotten into, so that's not quite the role that people think about when talking in a FAANG context.
by groby_b | 2025-10-21 16:46:04+00:00
The major labs are hiring experts. They carefully build & curate synthetic data. The market for labelled non-synthetic data is currently ~$3B/year.

The idea that LLMs are just trained on a pile of raw Internet is severely outdated. (Not sure it was ever fully true, but it's far away from that by now).

Coding's one of the easier datasets to curate, because we have a number of ways to actually (somewhat) assess code quality. (Does it work? Does it come with a set of tests and pass it? Does it have stylistic integrity? How many issues get flagged by various analysis tools? Etc, etc)
by yardie | 2025-10-21 16:46:16+00:00
> Native South African is a debatable word.

They've been there over 2000 years, I think we can consider them native at this point.

European colonialists and apartheid justifiers try to shoehorn the Bantu migration as being just slightly before Europeans arrived when fossil records prove it was thousands of years prior.

Have you looked at a map? What would stop the oldest humans, who have been there hundred thousand years, from moving from the central African plans to anywhere in Sub-Saharan Africa?
by jjk166 | 2025-10-21 16:46:23+00:00
> Seems logical to assume that could be because there aren't many people left who know how all the systems connect.

It's only logical presupposing a lot of other conditions, each of which is worthy of healthy skepticism. And even then, it's only a hypothesis. You need evidence to go from "this could have contributed to the problem" to "this caused the problem."

Based on what little is given in the article, it seems to go strongly against this hypothesis. For example it links to multiple past findings that Amazon's notification times need improvement going back to 2017. If something has been a problem for nearly a decade, it's hard to imagine it is a result of any recent personnel changes.

TFA does not establish how many AWS workers have left or been laid off, nonetheless how many of those were actually undesirable losses of highly skilled individuals. Even if we take it on faith that a large number of such individuals were lost, it is another bridge further to claim that there was neither redundancy in that skillset which remained, nor that any vacancies have been left unfilled since.

No evidence is given that indicates that if a more experienced team were working on the problem it would have been identified and resolved faster. The article even states something to the opposite effect:

> AWS is very, very good at infrastructure. You can tell this is a true statement by the fact that a single one of their 38 regions going down (albeit a very important region!) causes this kind of attention, as opposed to it being "just another Monday outage." At AWS's scale, all of their issues are complex; this isn't going to be a simple issue that someone should have caught, just because they've already hit similar issues years ago and ironed out the kinks in their resilience story.

Indeed, the article doesn't even provide evidence that the response was unreasonably slow. No comparison to similar outages either from AWS in the past, before the hypothecated brain drain, nor from competitors. Note that the author has no idea what the problem actually was, or what AWS had to do to diagnose the issue.
by ajuc | 2025-10-21 16:46:44+00:00
Every breakthrough in information technology caused disruption in the historical sense (i.e. millions of deaths).

From the writing, through organized religion, printing press, radio and tv, internet and now ai.

Printing press and reformation wars is obvious, radio and totalitarianism is less known, internet and new populism is just starting to be recognized for what it is.

Eventually we'll get it regulated and adjust to it. But in the meantime it's going to be a wild ride.
by kevinquennesson | 2025-10-21 16:46:55+00:00
Hello Hacker News!

Today we’re excited to share Ask AI from Braid Health. Our goal is to make comprehensive diagnostics accessible to everyone so patients and families can understand their health with clarity. Ask AI makes complex medical images easy to explore by putting them in front of the latest AI models so you can collaborate, ask follow-ups, and learn about your health in plain English.

Turn the lens on your body: Your medical images already contain thousands of biomarkers, often more than any blood test. Many of us have MRIs, CTs, and X-rays sitting on a CD or in a portal, rarely revisited. Ask AI lets you see that information clearly, privately, and on your own time.

How it works:

- ⬆ Super-easy uploads: Drag and drop your DICOM files (often from a CD or portal) straight into our site. Large MRI studies import in seconds.

- Collaborative AI analysis: Multiple advanced models (e.g., GPT-5, Grok-4, Gemini 2.5) work together to extract signals and cross-check findings.

- Plain-English report: Get a clear summary with interactive annotations showing exactly what the AI noticed.

- Radiologist verification: One click connects you with a board-certified radiologist to confirm or explain results.

Why it matters

Scans can hold early clues about health, from subtle changes in tissue to patterns that evolve over time. Ask AI translates complex scans into human language, so you can ask questions, bookmark what matters, and come back whenever you like.

Tell us what to build next

We’d love your feedback. What workflows, visuals, or explanations would help you or your family feel more confident reading MRI, CT, or X-ray? Drop ideas, edge cases, and wish lists in the comments.

P.S. Ask AI is for education and exploration, not medical advice. For clinical questions, please consult a qualified clinician.
by matthewdgreen | 2025-10-21 16:47:03+00:00
They changed the features of the system considerably. It used to let you set the speed and handle manually-initiated lane changes. Then they started having it initiate lane changes on its own; because this was annoying, they added a “minimize lane changes” feature. Then (and I think this coincides with “FSD” being released to customers who opted in) they removed that minimize option and replaced it with an entirely new system with different modes, one of which is called “Hurry”. This combines aggressive lane changing with speed choices, but the speed never seems to be quite what you want it to be (manual control is gone.) This isn’t unique to my car: if you search for complaints on Reddit and Tesla forums you’ll find plenty.
by sillyfluke | 2025-10-21 16:47:08+00:00
>"Yeah, well, if you gather a few ounces of this wild plant and make a tea from it's roots, it's 90% likely to do the same thing as our pill."

You're distorting what I wrote it seems. I said "extracted oil" of the plant not "the roots of a few ounces". For essential oil you would need 100x or 200x of the plant or more depending on the plant to make the essential oil.

>Big pharma is completely incentivised to fund clinical studies, exactly so they can refine a form of the chemical(s) involved and patent them. Even field research into Archaea species is funded by this.

It's pretty evident I'm talking published research in my example. They are incentivized to conduct clinical studies internally on the plant extracts but they are not incentivized to publish that research if it's against their interests. My example would be nonsensical if they are randomly trying to mimic naturally existing compounds without researching first.
by xpe | 2025-10-21 16:47:11+00:00
I'm currently exploring how different APIs compute ETags [1]. I'm inclined to think the overhead of Merkle-trees make them relatively less useful for ETags for paginated APIs where responses are small and flat hashing is fast. One rule of thumb would be: the overhead isn't justified unless you need either (a) efficient updates on very large collections, or (b) collection-level state tracking across pagination boundaries. Sound about right?

[1]: https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/...

Also, ETags can use weak validators:

> W/ (case-sensitive) indicates that a weak validator is used. Weak ETags are easy to generate, but are far less useful for comparisons. Strong validators are ideal for comparisons but can be very difficult to generate efficiently. Weak ETag values of two representations of the same resources might be semantically equivalent, but not byte-for-byte identical. This means weak ETags prevent caching when byte range requests are used, but strong ETags mean range requests can still be cached.
by rriley | 2025-10-21 16:47:58+00:00
The study introduces the "LLM Brain Rot Hypothesis," asserting that large language models (LLMs) experience cognitive decline when continuously exposed to low-quality, engaging content, such as sensationalized social media posts. This decline, evident in diminished reasoning, long-context understanding, and ethical norms, highlights the critical need for careful data curation and quality control in LLM training. The findings suggest that standard mitigation strategies are insufficient, urging stakeholders to implement routine cognitive health assessments to maintain LLM effectiveness over time.

TL;DR from https://unrav.io/#view/8f20da5f8205c54b5802c2b623702569
by bravetraveler | 2025-10-21 16:48:05+00:00
You say this as if I've never been laid off before. I have, because of acquisitions and even poor performance after the loss of a family member.

My point is this: it's going to happen anyway. I refuse to over-extend [any more] to stave the inevitable. I'm in a good spot because I have a solid network (contacts/skills) and reasonable savings.

I'm sure the employer would be mad to know I'm posting right now, I don't care. Their fault for allowing me to automate!
by qyckudnefDi5 | 2025-10-21 16:48:09+00:00
The noteworthy thing about this wallet is that it uses the TROPIC01 secure element[1]. The first open verifiable secure element.

It will be interesting to see how it compares to the Keycard Shell[2] a fully open-source wallet with swappable smart cards using the same secure element as found in credit cards etc.

[1]: https://tropicsquare.com/tropic01

[2]: https://keycard.tech/
by k3nx | 2025-10-21 16:48:18+00:00
The OS itself I'm not sure of.

Developing for is was a fun challenge. I had a device that had 4MB of memory total. This was RAM, Data, and application space. I created an "app" that had plugins. When you ran the HotSync is asked which plugins you wanted to "install", then based on which ones were installed it copied over the data you needed.

I loved the documentation. It might be the only SDK documentation I read with joy. It just clicked with me.

Gremlins. I liked this program as well. I don't recall if it was a simulator only or if it ran across on device. You could tell it to just wreck havoc on your app. I would set it up to run over the evening or weekend and I would just fix any bugs that occurred during that time. It would click every button, add weird text to all input boxes, just smash everything. It found many issues for me. When I came back over the weekend and there were no issues, I shipped my app. I still had users running it up until 2010.