skysight-inc/HackerNews huggingface dataset:
im just glad it looks like o3-mini finally has internet access

the o1 models were already so niche that i never used them, but not being able to search the web made them even more useless
If you're American, you're safer using a Chinese chatbot. The Chinese government has literally no authority over you and American authorities will not cooperate with (or even receive) Chinese government requests. The Chinese won't even bother to sell you ads. As an individual, you're of zero interest to them.

For the same reason, if you're Chinese, you're safer using an American chatbot, or running your own local instance of llama or Deepseek.

If you're European... uhhh... it doesn't matter. There are no European options. But you're marginally safer, if you're doing anything risky or dissident-like, with the Chinese option.
The only reason I figure that it hasn’t been prioritized is that it’s not flashy or sexy and has zero gee-whiz factor.
You probably have the hardware to run the smallest distill, it runs even on my ancient laptop. It's not very smart but it still does the CoT and you can have fun editing it.
How does Kagi pay Google
I did a blind test and still prefer Gemini, Claude, and OpenAI to deepseek.
From the abstract:

Results show most LLMs underperform compared to humans, except for the o1 model
I know, I’m saying that it is a dumb remedy to “we don’t like BigTech colluding so we are going to force Apple to leave the third largest cloud provider (an also ran) for the first and second largest provider”
Sometimes its thinking is more useful than the actual output.
Indeed. Everyone knows that one can cobble together a frontier model and deploy it within three weeks.
Same reason taxiways cross runways at most airports. You've got vehicles that need to be on the other side of the approach/departure path, and the only way for that to happen is if the paths cross.

The airspace in the area is complex, so it's a challenge to provide useful helicopter routes while reducing potential conflict.
It appeared just now for me on Tier 3.
Inheritance in Ruby, in Pictures (2023)
The major enterprise agile methodologies such as Large Scale Scrum (LeSS) or Scaled Agile Framework (SaFE) explicitly state not to do that. I've seen agile done well, but of course many organizations with incompetent management fail to implement the documented best practices.

https://less.works/less/principles/queueing_theory
"My overwhelming impression with systemd is that it's not Linux and it should not be referred to as Linux or even in the context thereof. "

Yes, systemd is an init system/service handler (and a lot of related utilities) running on top of the OS kernel Linux. They are two different things working together to make an usable OS.
I do this sometimes when my ears are congested and I’m trying not to do weird things with my jaw where people can see, to open up my Eustachian tubes. It works about a third of the time.
base has faster confirmation time and lower transaction fees (1% is absolutely ridiculous lol), they're just talking their book.
Your son’s serotonin in his gut may still be high. Please do not assume that the nausea is related to a psychological disorder. My parents did this with me and it turns out my case was a lot more complicated.

I don’t know if you tried antinausea medication that blocks the serotonin HT3 receptor but if you try that and the nausea goes away, I would look ant increased serotonin release as a culprit instead.
orthogonal to the question
Completely agree, these are good points. I'll add that current AI is overhyped precisely because it is not 100% reliable, especially with novel or cutting edge problems (where the most utility exists). This means that engineers using AI ultimately have to understand everything that the AI is doing, and this reduces its utility because you still need to be as much as an expert as the AI, if not more.

It's similar to self-driving cars and how they require the driver to have eyes on the road and hands on the wheel. Sure, it is a useful feature for drivers just as cruise control was, but it is not going to free someone from the task of driving. That said, self-driving is getting better and better, but is it realistically nowhere near the point of allowing someone to fully trust the car and therefore free themselves from paying attention to the road. Sooner or later you need to take control of the car and so "self-driving" is merely a marketing term that is overhyping what is effectively an enhanced form of cruise control (even self-driving taxi services still require remote operators). Similarly, AI for coding will require engineer expertise and supervision, and it might restructure how teams do work but it will not fulfill the promise of letting the AI code full solutions and rely on the solution to not break.
eh, thanks

> How can I persuade my boss to pay for Undo?

fun quote.. but my boss will never pay for it because I am the only one who use gdb in our company, unfortunately)
The obvious solution could be to just keep skipping the even numbers and go to o5.
Printers probably use more ink keeping their heads clean in inkjet printers than they ever do printing these dots on the page. And even if it is expensive the customers bear that expense and send it right back to the printer companies. However many microliters of ink a customers' printers use is just more ink bought from the manufacturer.
Genuinely curious, What made you choose OpenAI as your preferred api provider? Its always been the least attractive to me.
The part where I get frustrated in a similar manners as yours is that while yes businesses could prioritize improving their use of Electron, they never do.

:(
They don't have an "inner" to begin witn.
> Native apps don't offer deep liking and bookmarking. You can't easily open multiple instances of the app in multiple tabs.

Sure they do, and sure you can. It's up to developers to support, but it's certainly doable.

I think you hit the nail on the head in the subsequent sentence: native apps need to be carefully designed to compete with web apps. No one cares enough to do that.
They do have authority over certain airspaces and this is one of them. They can tell the military not to fly over certain airspace.
Ok, that is true, but how do I tell my graph database that the result of the construct query is some other graph in my DB?
Should we stop caring about all the amendments or just the ones you don't like?
"ChatGPT" (chatgpt-4o) is now its own model, distinct from gpt-4o.

As for self-limiting usage by non-power users, they're already doing that: ChatGPT app automatically picks a model depending on what capabilities you invoke. While they provide a limited ability to see and switch the model in use, they're clearly expecting regular users not to care, and design their app around that.
That's first mover advantage.
You're gonna need to ground those labels in something physical at some point.

No one's going to let an LLM near anything important until then.
wheres that made clear in "ollama run deepseek-r1” the command to download/run the model?
Let me guess - everyone is mindblown.
> When people say "I don't see why privacy matters, I have nothing to hide"...

These people fail to follow and resolve the indirect links that threaten their future. Privacy is their future. Without privacy, you have no future, because you are vulnerable to attack by unknown third-parties.

Information is the first thing required for a successful attack on your persons, or family. You can even torture people today and the bar is so incredibly high to prove vexatious acts that there's not much one can do except in some very egregious situations where they step over the line.
Thats the role of ChatGPT?
I think there's a big difference between "activating" a muscle and "getting utility" out of it. Sure, maybe it activates sometimes, but what does it do? Well... nothing. It's a vestigial structure.
That's a great idea. In your frontend, do you write in the same text entry field as the bot? I use oobabooga/text-generation-webui and I findit's a little awkward to edit the bot responses.
Not to mention the model has been available to researchers for a month.
According to the Wikipedia article it may be involuntary.
> Obviously it could also be Invisible Evil Gas Traces, and the impact of being wrong is severe, so I wouldn't blithely dismiss the alarms as planned obsolescence either.

And that is why I only buy CO alarms which display the ppm they measure.

"I'm out of sensor lifetime / battery, please replace me" is a very different level of priority than 300ppm CO. And how I react to 300ppm is very different from how I would react to 3200ppm.
Yeah, there's some serious irony here. Or hypocrisy.

When Proton was founded, their main selling point was that they store your data outside the USA, in Switzerland, and vigorously fight to protect your privacy from US government intrusion. Surely they realize, if only privately, that Americans who fear government action are even safer with their data stored in China. The Swiss comply with US government requests; the Chinese don't even bother to respond, barring rare DEA cases that are handled out of Hong Kong, and even those are becoming more and more infrequent.

As for OpenAI, they literally trained on LibGen and now they throw a fit about Deepseek "stealing"? lol, lmao even.
> Native apps don't offer deep linking and bookmarking.

Sharing files is trivial, and just putting files in a folder is the file-native to find something again (i.e., bookmark). Personal preference whether one of these systems is better or worse than the other, personally I'd just call them different.

But I would specifically callout collaboration on a single document as a strong suit of web apps. E.g., two people editing the same document (like a Google Doc) is pretty much the only task that I'd prefer a web app for. Also referencing a single specific line in a document. Again I use web apps for doing that (e.g., find the exact line number of some code on GitHub to share), but I can't say I enjoy the process.

> You can't easily open multiple instances of the app in multiple tabs.

I'm mainly talking about desktop apps, which today almost always support multiple windows and/or tabs.

Might be missing what you're getting at here, are you talking about mobile apps? I'm pretty sure iOS also supports multiple instances of apps, but I don't need this functionality often enough myself to care. Again, maybe I'm missing what you mean here?

> Your data is usually tied to the specific devices you are using.

I don't think this has been problem since the first release of Dropbox in 2007? Again I might be missing something, but native apps are either file-based in which you can easily sync the file, or are a front-end for a database, in which most apps have a way to sync across devices? Syncing is kind of table-stakes for apps these days.

> Unless carefully designed, desktop apps might not be responsive or adaptive to various viewport sizes.

I'd argue this is more of a problem on the web than desktop, a well-designed desktop app will enforce a sensical minimum window size, whereas in my experience most web apps absolutely fall apart when you shrink them too small.

> Also, web app failing to inspire joy is a indictment of developers who don't care, not of the medium itself.

I don't agree with this type of reasoning, i.e., I don't look at a technology and say "there's nothing stopping it from making great software!" Instead I look at how great software is being made, and then prefer that technology. At the end of the day the only real proof that great software can be made using a technology is the great software itself.
Don't be a goof. There's no comparison here.
Fiat is also negative sum. If you HODLed a dollar in 1930 it would be worth less today. Mostly because of inflation of supply over cost of printing. But in some sense inflation is the tax that keeps money free (a hard currency would require banks to charge you to hold and then you see the cost).

Investments have costs but they produce value. NVidia of 2025 is actually doing more than Nvidia of 1999. Forgetting currency, it is actually more valuable.

Bitcoin is like a currency not an investment. In addition the $ cost of mining is huge compare to it's inflows. That is why bitcoiners love to compare this cost to the whole trad-fi cost including branches and AML and credit card issuing etc. Rather than compare it to what the federal reserves server rack does.

Bitcoin needs $50m a day paid to miners. That money needs to come from new "investments". Yet a bitcoin does the same thing as it did in 2009. And yields the same earnings per share, zero.
They pay Google for search results and are a front end for it with.
I think that has more to do with the multiple year head start and multiple tens of billions of dollars in funding advantage.
HEN was popping. Those were the fun days lol
Maybe they could start selling "season passes" next to make their offering even more clear!
And you think that is due to their model naming?
> it's harder to write bad code in Go compared with most languages

I have worked in many, many codebases and I just can’t say I agree. There are some ways in which go programmers don’t write code as badly as they might have in other ecosystems, but there are plenty of other ways in which they’re actively encouraged to by the language.

And it’s not particularly maintainable. Yes, I can always “just read the code” to figure out what something is doing. But I often have to read more than five times the amount of code to understand what’s being accomplished. On top of that, due to the lack of abstraction power, I have to mentally decompile algorithmic implementations into the actual high-level task they’re actually performing. The (minor, but obvious and) classic example is having to mentally parse every single loop to determine if it’s a map, a reduce, filter, or something else.
For the record:

January 20: FAA director fired

January 21: Air Traffic Controller hiring freeze

January 22: Aviation Safety Advisory Committee disbanded

January 28: Buyout/retirement demand sent to existing employees
> There's still nepotism and rich parents and connections and luck and a whole bunch of random biases by the people making decisions. The point is that while in theory DEI was supposed to be a counter to those forces, in practice it has just become another source of unfairness and injustice.

And it tends to lead to a specific result: A number of slots are assigned for each group but then the set of people with rich parents are disproportionately from one group, so nepotism fills all of that group's slots. Then you get a 0% reduction in nepotism and instead the people without rich parents, but from the same demographic group, are the ones excluded. Which quite justifiably makes them mad.
"To be blunt, I was using Fedora when systemd was coming out, I know how it works intimately because it was constantly broken. Part of what gives me pause is that I know how utterly undebugabble it is when it fails: it just hits those causes less frequently as the world is forced into using it. It becomes battle hardened."

One of the foundations of Fedora is to be "first" and to integrate big changes like systemd before other distros. Things will break if you do that.
This is pretty much exactly one of DoJ's proposed remedies they're trying to force Google to do https://www.theverge.com/2024/11/27/24302415/doj-google-sear...
A big deal is being made in San Antonio that we now have a direct flight to National. We need to keep up with the Joneses.
Hi author,

I have an uncannily similar physical and symptomatic profile. Do you experience anxiety? My symptoms were so intense and unpredictable that I developed anxiety from it. I had to learn to manage and distinguish both issues, which helped a ton. I never had any formal diagnostic as every doc basically says "everything's normal", but I now suspect a heightened stomach sensibility due to multiple COVID-19 infections coupled with a highly stressful period in my life. I haven't had COVID in a while now and my stress levels are much lower so symptoms are mostly gone.

I understand how debilitating and hellish it can be. I wish you all the best!
Salesforce would like a word...
Not really. I wasn't a pilot, just a lowly ABF in the Navy. But when we deployed, on an LHD, most of our flights were what you could probably "classify" as training. We ran flight ops every day because pilots have to maintain hours. We flew every day for 7 months and only 2-3 of those months were we in the gulf. And even in the gulf, not all flights were missions, I would say less than half were. That also isn't counting 4-6 months prior to deployment of work ups where we would go out to sea for a week and come back, everyday pilots flew training missions off our deck. All in all, all in the military probably spend most of their air time training then actually flying missions.

I also recall, even experienced pilots, would rotate out to training units as their "shore" (break from a deploy able unit) duty.

This wasn't a Navy aircraft, but I imagine a lot of that is the same regardless of branch.
Why not promote o1? 4o is rather sloppy in comparison
> Hardware controls are not useful if you listen to lots of audiobooks/podcasts/etc.

Presently, that's what I exclusively listen to. I get in my car and the narration auto-starts where it left off. I occasionally adjust the physical volume knob. I tweak the library at home every couple of months.
You only need it for bootstrapping. Fortunately, we've already done that when we invented first languages. LLMs are just bootstrapping off us.
It's almost as bad as the Xbox naming scheme.
Based on the leaderboard R1 is significantly better than Claude? https://livebench.ai/#/
I couldn't find in the documentation anything that describes the relative number of tokens that you get for low/medium/high. I'm curious if anyone can find that, I'd be curious to see how it plays out relative to DeepSeeks thinking sections.
Ideal or not, it's propaganda. We're lead to believe only other countries use propaganda to control their citizens, shield them from truths, and paint foreign countries as "lesser than" or, worse "the enemy". All the while, we're doing the same thing. Maybe I've had the wool pulled over my eyes my first 4 1/2 decades, but it seems pretty clear now.
> I'm willing to bet that Vulkan will outperform OpenVINO.

> Vulkan is the API right now in the graphics world.

YUP, Vulkan is all the rage in the graphics world, and for good reasons. But we arent discussing graphics now are we?

Vulkan is a general graphics API with some computing capabilities.

OpenVINO is a toolkit for inference neural networks, by intel built to make use of their GPUs and NPUs for this specific task.

Using vulkan, first you need to translate your payload to shaders, then they need to be compiled to SPIR-V, then they can use a subset of the cards capabilities.

How could this even remotely match something written specifically for the task?

Also, it is dead easy to benchmark if you still think otherwise.

Or just read up on it..
I see "This video displays Zusie the Relay Computer...", but there's no actual video to see.
I...don't know what I expected...
I stopped reading when the table went over the margin.
I really don't think this is true. OpenAI has no moat because they have nothing unique; they're using mostly other people's (like Transformers) architectures and other companies hardware.

Their value-prop (moat) is that they've burnt more money than everybody else. That moat is trivially circumvented by lighting a larger pile of money and less trivially by lighting the pile more efficently.

OpenAI isn't the only company. The Tech companies being beaten massively by Microsoft in #of H100s purchases are the ones with a moat. Google / Amazon with their custom AI chips are going to have a better performance per cost than others and that will be a moat. If you want to get the same performance per cost then you need to spend the time making your own chips which is years of effort (=moat).
You can add that to the prompt. If you're running into those situation with vague assumption, ask it to provide either the answer or questions to provide any useful missing information.
Nice project!

One killer feature would be the ability to connect to the debugger via a socket and control it. Gdb has this interface and for some use cases it's great.

As one of those long-tail "native" languages, Virgil might benefit from this. So far, I've had a student build a DWARF backend, and the experience from that is that DWARF is way too complicated and consequently implementations are broken and crappy in many ways. I think DWARF draws the wrong dividing line here. Control of the machine and customizing the source-level support to the language is probably better.
I did this a while back, though it was pictures of my wife in lingerie.

- I asked grok to generate a list of racey prompts.
- Has replicate generate them via script. About 10-20% are very poor, I filtered those out manually.
- It also has NSFW guardrails, but a simple retry or word juggle gives you a chance to get around it.

I think I spent $10
Show HN: LLPlayer – The media player for language learning, with AI subtitles
Hello HN!

I've been developing a video player in C# and WPF for the last 8 months, and now that it reached a certain quality, I'd like to publish it.

github (source, release build)
http://github.com/umlx5h/LLPlayer

website
https://llplayer.com

LLPlayer is not a normal media player like mpv or VLC, but a media player specialized for language learning.
I originally created it for my own English learning, but I have made it more versatile by adding various features.

It is completely free OSS under GPL license.

The main feature is automatic AI subtitle generation using OpenAI Whisper.
(Recently, VLC has been in the news for doing the same thing, It doesn't appear to be public yet.)

Subtitles can be generated in real-time from any position in a video in 100 languages.
It is fast because it supports CUDA and Vulkan.
In addition, by linking with yt-dlp, subtitles can be generated in real time from any online videos.
(By the way, Whisper is far more accurate than Youtube's subtitle generation.)

Other unique features include a subtitle sidebar, OCR subtitles, dual subtitles, real-time translation, word translation, and more.

I plan to add more language-specific features in the future, such as Japanese for anime fans.

I have prepared a demo video on GitHub, and I would be very happy if you could take a look at it if you are interested.

Currently, It only supports Windows, but I want to make it cross-platform in the future using Avalonia.

Note that I did not make the core video player from scratch in C#.

I used a .NET library called Flyleaf and modified it, which is a simple yet very high quality library.
https://github.com/SuRGeoNix/Flyleaf

It would take a tremendous amount of effort to create a video player in scratch by just one person.

Without this library, LLPlayer would never have existed. Thanks for publishing it as OSS!

Feedback and questions are welcome. Thanks for reading!
You are not actually running DeepSeek, those distilled models have nothing to do with DeepSeek itself and are just finetuned on DeepSeek responses.
I wasn't able to fully understand the video but from prior knowledge TCAS requires both aircraft to communicate and give their pilots differing instructions (go up to one, go down to another) right? Do all army helicopters have TCAS and is it generally interoperable with commercial airliners?
Making of Lilies and Roses of P.J. Redouté
And it doesn’t even line up with the actual instances you’ll be offered. At one point I was using some random Nvidia A10 node that was supposed to be similar to Standard_NV36adms_A10_v5, but was an NC series for some reason with slightly different letters…
100% this.
The good news is that we're in the majority.
The bad news is hardly anything seems to be done about it. Maybe we should push back more?
I'd happily "vote with my wallet" but it seems all the major auto manufacturers are going this route. Sad.
By being the executive director of the GNOME Foundation.