MurphyA/hacker-news huggingface dataset:
by ajross | 2025-11-07 12:49:32+00:00
Just to extend the thread: nothing you say there engages with my point (which amounts to "Musk is just a routine reactionary right winger like we all deal with every day").

You're just saying you want to hate him because you want to hate him, and by extension I'm not allowed to (there is "no point in") trying to explain my contrary opinion because you disagree with it.

It's not a very HN comment. And I really don't think you're internal moral compass is consistent on this, again citing all the drunk uncles you do business with without shame.
by littlecorner | 2025-11-07 12:49:46+00:00
The FBI is also used by various organizations to investigate various crimes, whether real or not. For instance, the Bureau of Industry and Security thought my company was flaunting export regulations and had the FBI raid my company to investigate. It turned out to largely be due to a paperwork problem, but the BIS didn't have the power to investigate so they contracted the FBI to provide the manpower to do the raid. So who we saw was the FBI, but it was really the BIS originating the raid.
by frizlab | 2025-11-07 12:50:47+00:00
It is getting close though, which was my point. Honestly I got bit recently by DateComponentFormatter that does not exists on Linux, but it’s been a while since I’ve had things like that. We even have (NS)AttributedStrings (including the NS version, which I did not expect…). Of course no fonts and co, but that’s AppKit/UIKit/SwiftUI, so it’s normal.
by andy12_ | 2025-11-07 12:50:52+00:00
Very concise summary of the procedure described in this paper:

1. Run the model once across a dataset to estimate loss curvature per MLP weight matrix via K-FAC (activation/gradient covariances).

2. Decompose each weight matrix into curvature-ordered components; low-curvature directions correspond most to verbatim memorization, higher curvature to shared/general mechanisms.

3. Edit by dropping the low-curvature subspace and keep only the top directions.
by drysine | 2025-11-07 12:51:01+00:00
Well, in the 90s there was almost total adoration of the US in Russia and America meant only one thing - the US.

Decade later the US lost most of its soft power due to the abuse of its dominant military and economic position in the world and then lost its dominant position too with the rise of the economies around the world.

People now see the US as a strong state on the lands of native Americans on the continent called North America.
by teamonkey | 2025-11-07 12:53:07+00:00
> What part of human psychology is being exploited here outside of progression from solving the puzzle which you would naturally always have?

This and the other scenarios you mention are deliberately created to make the player have fun. They are all engineered to manipulate the player’s emotions, the intention is to trigger dopamine and other neurological reactions. As I said, that doesn’t have to be a bad thing!

You don’t have to think about it in terms of chemical reactions, but artificially creating fun is the goal, if you boil it down.

You do get that dopamine hit when you achieve a goal in Shenzen.io, or even a self-directed goal in Shenmue, whether the designers thought that way or not.

As Raph Koster says, fun is linked to progression and learning.

Progression applies to self directed goals too (you’re setting yourself a series of minor goals when driving the forklift in Shenmue).

Ironically, motivation theory tells us that the intrinsic fun of doing undirected chores in Shenmue or mastering facts about the systems in Shenzen.io is stronger than the onslaught of mostly extrinsic rewards generated by Cookie Clicker. You had less fun playing that game, that’s one of many reasons why.
by andrewstuart2 | 2025-11-07 12:53:22+00:00
That's kind of how open source works, though. Of course the backend vendors won't care about anything that doesn't affect the backend somehow. But the people, i.e. users, who do want to be able to easily switch away from bad vendors, have incentives to keep things properly decoupled and working.

The license is the key enabler for all of this. The vendors can't be all that sneaky in the code they contribute without much higher risk of being caught. Sure, they will focus on the funnel that brings more data to them, but that leaves others more time to work on the other parts.
by probably_wrong | 2025-11-07 12:53:45+00:00
I see good answers already, but here's a concrete example:

In my University we had to decide between both libraries so, as a test, we decided to write a language model from scratch. The first minor problem with TF was that (if memory serves me right) you were supposed to declare your network "backwards" - instead of saying "A -> B -> C" you had to declare "C(B(A))". The major problem, however, was that there was no way to add debug messages - either your network worked or it didn't. To make matters worse, the "official" TF tutorial on how to write a Seq2Seq model didn't compile because the library had changed but the bug reports for that were met for years with "we are changing the API so we'll fix the example once we're done".

PyTorch, by comparison, had the advantage of a Python-based interface - you simply defined classes like you always did (including debug statements!), connected them as variables, and that was that. So when I and my beginner colleagues had to decide which library to pick, "the one that's not a nightmare to debug" sounded much better than "the one that's more efficient if you have several billions training datapoints and a cluster". Me and my colleagues then went on to become professionals, and we all brought PyTorch with us.
by sunscream89 | 2025-11-07 12:54:35+00:00
I wish you knew the true depth of it. It is laughable to find it “new”, what has changed is that the bar is far lower than ever before and society has digressed, not hardened against such simple means of exploitation.

The conventional members of society live lives of cognitive dissonance, there are mobs and mobs and mobs among you who want to devour some part or other of yours at your expense.

Cognitive warfare has always been prominent in driving our public narratives.
by api | 2025-11-07 12:54:36+00:00
I have suspected for a long time that the root of the problem is how we distribute new money.

New money means basically printed money. We have an inflationary system, and I’m on the fence about whether that’s a good thing versus the other different problems you get with deflationary money. But that’s beside the point.

The fair way to distribute new money would be to drop it from helicopters, more or less. Instead we give it to banks. New money enters circulation at the top.

That does a couple things. First it inflates assets, which is one cause for why housing went nuts. Second, it transforms the economy from a competition to sell the best product to customers into a competition to be first in line for inflationary money distribution.

That’s what we have now. You are not the customer. There are no customers. The stock is the product and the Fed is ultimately, after a chain starting with big banks, the buyer.

Companies make more money selling their stock than selling their product. Selling a product is only valuable insofar as it makes the stock look better to buyers who have not yet realized productivity is no longer the goal, who have not yet reached /r/wallstreetbets levels of enlightenment about the new nature of the system.

Over time the trend is for the whole system to drop the pretense of productivity. At the street level investment fully degenerates into gambling and is finally replaced, as is happening now, with actual gambling. At the elite level people like investors and founders start to realize that creating value has degenerated into a show to attract investment capital (new money), and so they should just drop the pretense. In fact it makes sense to drop the entire pretense of operating a productive economy. The political class can also drop the pretense of running a productive society and just declare themselves kings and hold decadent parties, as we're seeing now.

So we end up with kings ruling over a casino. Which is why we have a wannabe king who is a former casino boss.

(Deflationary money can lead to serfdom too but via a different failure cascade that starts with a collapse in investment since holding money is less risky.)

If, instead, we implemented QE by dropping money from helicopters, the whole economy would be capitalized and would start spending money purchasing things people want. Businesses would remain oriented toward selling things to customers and to one another, with stock sales being secondary fund raising activities as they should be. Investment would continue to be a better bet than gambling.
by paulryanrogers | 2025-11-07 12:54:58+00:00
> The overwhelming majority of people who work around 40 hours a week have plenty of free time.

Overwhelming majority? Plenty of people don't make enough from their 40h/w job to pay all their expenses and have to get another job or have to share responsibilities with a working spouse. Having kids or aging parents is also a common demand on ones time.
by articsputnik | 2025-11-07 12:56:32+00:00
I found Presenterm [1] to be optimal for me. Simple and works in the terminal, yet powerful to export to PDF and HTML. It supports Mermaid and images. I'm also collecting a list [2] with other Markdown-first presentation tools, and according to the git stars, reveal.js seems to be the most popular. Tough for me, it was too heavy.

[1] https://github.com/mfontanini/presenterm

[2] https://www.ssp.sh/brain/markdown-presentations-or-slides/
by lmyslinski | 2025-11-07 12:57:03+00:00
Hey HN, I've built a self-hostable platform for extracting structured data from documents.

We've just launched, but we're betting big on local AI and processing as the future. With VLM's being a true revolution in OCR, we enable organizations and individuals to easily build document processing workflows on top of our platform.

We're excited to hear your feedback! Łukasz
by embedding-shape | 2025-11-07 12:57:18+00:00
Not everyone uses every service equally, nor need the same from each service. "Listening to music" is a broad spectrum of activities in reality, and when I use streaming services, I almost exclusively use them for discovery and to find new music, and music I actually listen to more than once is bought rather than streamed. So while for me the single most important question for me is "How easy does this service make it for me to find new music?", for others, the question might be "What service streams the highest quality?". This is besides the whole legal thing with "What music is available there vs here" that others already mentioned.
by sph | 2025-11-07 12:57:24+00:00
In simple, reductive terms:

Fun, among other things = remaining in the tight channel of flow, where your skills get challenged without ever reaching a point of frustration. Too little challenge = boredom.

Skills improve as they get challenged, i.e. when our prediction and pattern matching system receive enough feedback to improve upon our previous actions to get a more optimal outcome.

So, fun is (among other things) getting better at doing something, and as we get better, what was once a challenge turns easier, so a fun game needs to have a well-tuned difficulty progression to keep in pace with your improving skills.
by subscribed | 2025-11-07 12:57:45+00:00
So it gives me the information that my email has been exposed.

Where? In what service? Did my password got leaked too? I can't change password / delete the account if I don't know where.

Did any other data got leaked? Anything sensitive? Do I have to cancel my credit card? Were any files leaked as well? My home location?

At this point HIBP is next to useless.

And how showing me WHAT is in the database about the email I proved I own would be spreading it? At this point if I want to learn it I need to either try to find the torrent with it (spreading it further!) or pay the criminals.
by aleph_minus_one | 2025-11-07 12:59:22+00:00
> That's a theory, but I think it's more likely that the few people in the world who deeply understand schemes are locked in the basement of a mathematics department somewhere, and not on hacker news =P

I rather think that because of the very low career prospects in research, quite a lot of people who are good in this area rather left research and took some job in finance or at some Silicon Valley company, and thus might actually at least sometimes have a look at what happens on Hacker News. :-)
by 8cvor6j844qw_d6 | 2025-11-07 12:59:26+00:00
Oh wow Simon Willison, I've read some of your submissions on HN and its very informative.

Thank you very much for the info. I think I'll have a fun weekend trying out agent-stuff with this [1].

[1]: https://vercel.com/guides/how-to-build-ai-agents-with-vercel...
by jamincan | 2025-11-07 12:59:43+00:00
Graydon's post was about as full-throated an endorsement of Fil-C as you can get, including noting where it's innovations could be used to improve Rust safety. The fact that you see undertones of some sort of deepset Rust agenda to unseat C and C++ is, I think, more a reflection on just how deep down the rabbit hole some Rust critics have gone, seeing so-called Rust zealots hiding in every shadow of the internet.
by kchoudhu | 2025-11-07 12:59:59+00:00
OpenTelemetry won observability mindshare, but it is entirely the wrong architectural choice: by buying into its ethos your code is held hostage by the least stable otel monitoring library for your dependencies.

Sadly, there was always an alternative that no one took: dtrace. Add USDTs to your code and then monitor progress by instrumenting it externally, sending the resulting traces to wherever you want. My sincere hope is that the renewed interest in ebpf makes this a reality soon: I never want to have to do another from opentelemetry.<whatever> import <whatever> ever again.
by andsoitis | 2025-11-07 13:00:44+00:00
I fail to see how any of the examples you give unfairly limit competition in the car market?

Common forms of anti-competitive behavior: price fixing, predatory pricing, cartels, abuse of dominant position to exclude rivals, etc.

Tesla's competition are carmakers and this is the list of top car makers by revenue: VW, Toyota, Stellantis, Mercedes-Benz, Ford, General Motors, Honda, Tesla, BYD, and Nissan - https://www.investopedia.com/articles/company-insights/09151...
by lisdexan | 2025-11-07 13:00:58+00:00
I know you feel deeply about this, but you started with the angle of "Christianity numba 1", then after I disagree you say numbers actually never mattered.

>Moments when faith didn’t arrive through conquest like most believe, but through divine encounter.

You imply that syncretism rather than conquest was the reason LATAM became catholic, but just an hour before you said:

>You’re absolutely right that many nations were converted by force or politics. History is full of that tension. The message of Christ abused in ways completely opposite to what He taught in the Scripture.

>What’s always struck me, though, is how the faith survived despite those abuses. Every empire that tried to use Christianity as a weapon eventually crumbled, but the core message kept resurfacing through people who lived it voluntarily. Saints, reformers, monks, ordinary believers who loved instead of coerced.

So after all it was conquest, but the divine message resurfaced despite the abuses. It all sounds very Groucho Marx "Those are my principles, and if you don't like them...well I have others".
by jitl | 2025-11-07 13:01:11+00:00
Does any OpenTelemetry vendor have a dashboard / graph product in the same level of usability as Datadog?

Honeycomb is decent at what it has, but very limited offerings for dashboard.

Coming from Datadog, Grafana is such a bad experience I want to cry every time I try to build out a service dashboard. So much more friction to get anything done like adding transform functions / operators, do smoothing or extrapolation, even time shifting is like pulling teeth. Plus they just totally broke all our graphs with formulas for like 2 days.

Grafana is to Datadog what Bugzilla is to Linear.
by barrell | 2025-11-07 13:03:14+00:00
From the get go, I was building it to be language agnostic. Almost all of the pipeline is built to work regardless of the language, and any language specific code is only run at the end of the pipeline. If I have issues with a language I don't know well, I'll work with academics in the language.

In terms of QA, I'm using the application to learn at least one language from every major language family, so I do reviews in about 15 language families every day.

That and constant communication with my users! :)
by jqpabc123 | 2025-11-07 13:03:31+00:00
Plug and stay

Hopefully, this has been tested for durability and some MTBF specs are available to prove it.

Otherwise, buyer beware.

EDIT: I couldn't find any MBTF specs so I looked up the "limited warranty" for this product.

There is no warranty of uninterrupted or error-free operation.
by yanhangyhy | 2025-11-07 13:05:07+00:00
One thing to add: the most popular product in china on AI is not kimi i think' it shoud be DOUBAO by bytedance(tiktok owner) and yuanbao by tencent. The have a better UI and feature set and you can also select deepseek model from it. Kimi still has a lot of users but I think in the long term it still may not doing well. So its still a win for closed model?
by embedding-shape | 2025-11-07 13:05:24+00:00
> If you want to work on something big you probably want to be in a big corp to have the resources to do the big thing.

If anything, the reverse seems to be true, if you want to work on something big, you want to be in a small company, sufficiently funded, filled with great people, yet not "big", that's when "something big" seems to be more likely to happen.

In contrast, as far as I can think, the bigger a company gets, the less likely they are to actually come up with "something big", it seems like most of the times you need (creative) constraints in order for the results to end up being actually innovative, otherwise you end up like IBM and Meta, throwing money on stuff and getting some results, but nothing really out of the ordinary considering what's happening elsewhere in their ecosystems.
by britzsquad | 2025-11-07 13:05:43+00:00
OP said that was the main reason, but that's complete nonsense. Most people go there primarily for the music. The artists there are world-famous DJs who tour around the world in their particular niche of electronic music. The visitors are mostly enthusiasts who like this particular type of music and are well aware of the differences between the various artists. If you know what you're doing and why you're there, the chances of being rejected are actually relatively low.
by tmtvl | 2025-11-07 13:07:06+00:00
The Edit menu has undo, cut, copy, and paste. Is that stuff that only makes sense if you're into Emacs already? The Help menu has the tutorial and the manual. Same question. The File menu has open file, save, save as, close, and quit. If you open a file which uses a mode which has options you get a menu showing those options.

I don't think the discoverability of all those things is worth giving up in exchange for 1 more line of text, but of course everyone is different and that makes the world such an interesting place.
by nswizzle31 | 2025-11-07 13:07:17+00:00
I was pretty involved in the PyTorch ecosystem in the early days around 2016 and Adam was nothing short of a genius and prolific developer whose contributions to the codebase and community were immense. I think he was like an undergrad in Poland at the time. My understanding is that his contributions came before the internship, but I don’t know.

My memory is that Souminth was really open to other people’s contributions and questions, no matter their credentials. He was a great leader who felt approachable to the open-source community.
by joshmn | 2025-11-07 13:07:37+00:00
Thanks for the sentiment.

The last quote in particular is rather timely: on Wednesday I "came out" to the entire company that I work for with a cheeky slideshow, which started as an "about me" during an all-hands ("look, we have a new employee!") and then was like, "oh yeah also..."

Being able to shape the narrative and tell my side of the story before someone sees some of the slanted reporting has continued to prove helpful. I even went so far as to say "I know people Google their colleagues sometimes and that's cool just be aware that the truth is usually in the middle of what the DOJ says and what actually happened."
by Waterluvian | 2025-11-07 13:07:54+00:00
I didn't study too much meteorology in undergrad, but one thing impressed upon us is that any forecast beyond maybe 3 days is basically guesswork.

I think what might be getting observed here is that when forecasting that many days out, the local data becomes so unimportant to the model's outcome that the model is just reflecting historical climate trends. Which kind of makes both the same kind of model. Ie. when forecasting tomorrow, the current temperature and pressure data really makes a difference. But once pushed to 7 days, those data essentially become a proxy for typical weather at that time of year, possibly down-weighted by a lot.

I just woke up and I feel like I'm doing a very poor job trying to describe this.
by torginus | 2025-11-07 13:08:07+00:00
I guess I got into smart homes quite late, and have the benefit of accumulated knowledge and got to skip out on decades of half-working devices.

Nowadays, from what I've seen, Zigbee devices seem to be based on a couple of good ICs (and software stacks), which are inexpensive and battle tested.

Forgive me, I don't have a comprehensive experience on what standard does exactly what and how, but from what I've read Matter is a no go for homemade stuff - you need to go through cert for the hubs to talk to you.

As for out of the box support, I've read mixed things - I've heard that for many devices that are Matter compatible (more particularly, the Aqara W100 thermostat), you can't do everything the device supports via Matter that you can do with more proprietary APIs. Considering many of these companies are pushing their own ecosystems, they have an incentive to keep an advantage. Many people are already going for using Thread without Matter.

I feel like Matter is like the joke where they try to solve N competing standards by adding another one, and experience shows this isnt the way to go. The way to go is what Home Assistant does - they keep an open ecosystem with support for plugins, and for example for Zigbee, they implement the 'quirks' of your device into the framework, so you don't have to deal with it.
by hombre_fatal | 2025-11-07 13:09:50+00:00
I'm using KeePassium and SyncTrain for the syncthing integration on iOS.

SyncTrain has been working well, but all the knobs in the advanced folder settings definitely reminds me that I would never recommend it over Dropbox/iCloud/etc to almost anyone, heh.

But as long as I don't run into frequent problems, I like the idea of p2p device syncing over LAN. The phone in my pocket ends up passing around the latest copy since my other devices are almost never on at the same time. It's kinda cute.
by 8organicbits | 2025-11-07 13:10:01+00:00
I remember back in the early 2000s chatting with AI bots on AOL instant messenger. One day I said a specific keyword and it just didn't respond to that message. Curious, I tried to find all the banned words. I think I found about a dozen and suicide was one of them.

It's shocking how far behind LLMs are when it comes to safety issues like this. The industry has known this was a problem for decades.
by aqme28 | 2025-11-07 13:10:40+00:00
I have been seeing "AI psychosis" popping up more and more. I worry it's going to become a serious problem for some people.

It's not safe or healthy for everyone to have a sycophantic genius at their fingertips.

If you want to see what I mean, this subreddit is an AI psychosis generator/repository https://www.reddit.com/r/LLMPhysics/