skysight-inc/HackerNews huggingface dataset:
AFAIK, CUDA is protected. There are patents, and the terms of use of the compiler forbids using it on other devices.

Of course, most countries will stump over the terms of use thing (or worse, use it as evidence to go after Nvidia), and will probably ignore the patents because they are anticompetitive. It's not only China that will ignore them.
How does it compare with running face to face courses?

I have been thinking of doing it (UK, smallish town) as I have some experience of training, like doing it, and there is not a lot of competition locally (a lot of publicly funded stuff for adults other than university has disappeared). No idea how to get started though.
I sure hope not, because what they've released so far is worse than useless. The "notifications summaries" in particular are hilariously bad. It's the same problem with Google's "AI Overview"--wrong or misleading enough that you simply can't trust any of it.

But to be clear, none of these things are commercial products. They're gimmicks. Google is an ads company, they make their money selling ads. Apple is a computer company, they make their money selling computers. These "AI products" are a circus sideshow.
Coffee, cigarettes, alcohol, weed, Wellbutrin, Xanax... with all things, people metabolize and tolerate all types of substances differently to help us make it through the day.
I mean... yes. The DeepSeek announcement puts R1 right there in the name for those models. https://api-docs.deepseek.com/news/news250120

It's fairly clear that R1-Llama or R1-Qwen is a distill, and they're all coming directly from DeepSeek.

As an aside, at least the larger distilled models (I'm mostly running r1-llama-distill-70b) are definitely not the same thing as the base llama/qwen models. I'm getting better results locally, admittedly with the slower inference time as it does the whole "<think>" section.

Surprisingly - The content in the <think> section is actually quite useful on its own. If you're using the model to spitball or brainstorm, getting to see it do that process is just flat out useful. Sometimes more-so than the actual answer it finally produces.
Vaping in one's apartment isn't banned.

Except perhaps if you have a very specific clause in a renting contract, but I don't think anyone would bother going these lengths.
IIRC thezvi's summary post on R1 mentioned that R1 is amazing for general reasoning and is very clearly a successful proof of concept/capability but a lot of effort seems to have been put into making o1 Good At Code as a practical matter, whereas R1 seems to have been more a research project which proved out the approaches and then was released without sanding the rough edges off because that wasn't the point.
https://boomsupersonic.com/

https://www.youtube.com/live/-qisIViAHwI
Maybe it's a negative for you if you already have marketable skills, but a positive for others who want to get in.
Did I just wake up in 1983 again?
True, although if you read the article, they found the murder weapon in the suspect's home. The (correct) problem is the warrant issued to allow them to search the home was not issued legally.
I don't think that's a snark, but I don't understand.
Have you reached out to them? I've found their customer support even for out-of-warranty items to be fantastic.
I get that, it's always a challenge to trust a new product, especially when it comes to money. All the payments are done using stripe. Each user creates a connected Stripe account as part of the onboarding, accessible from Portal. When a payment is made, it goes directly to the user's Stripe account, and from there paid out to the selected bank account.

I'm aiming to build this as safe as possible, but that's why I'm planning to have a soft launch with the beta list to see if all the edge cases are covered.
No, I don't think that LLMs are glorified Wikipedia/Google. I think they're a glorified version of pressing the middle button on your phone's autocomplete repeatedly
Can someone explain the appeal of cramming what is effectively a GUI into a terminal? This sort of thing has always been popular around here, but I never saw the appeal. The main benefits appear to be usage over SSH, and a certain obscure style due to running in a terminal.
Yes! And all of that just to parse some <font> and <img> tags? :D

Also, to be fair: it was VGUI2, which, AFAIK, was introduced with Steam UI and still used in HL2. And was never made available to modders of GS.
> luigi

So you're suggesting a family member murder the judge or some powerful individual whose wealth puts them above the law? That's a weird take.
The article seems to conflate C and C++ in its very first sentence, though in reality these are very different languages. In C++ you can use std::array, and you can make your SIMD containers use restrict to make it more like Fortran.

Anyway auto-vectorization will never compete with intrinsics for performance, so this all seems rather silly. Try expressing pshub in auto-vectorizer. Or a bunch of optimal load/swizzles to out perform gather.
I'm legitimately curious why this article was so hard to read. It had a rambling quality where I was never quite sure what the topic of a sentence or paragraph was.
If western governments are so tolerant and permissive with information, I wonder why can't I access RT in Europe?
Nobody? I have nothing else in the British Press.
What cut does Upwork or Fiverr take?
Ex-Intel CEO Pat Gelsinger loads up on Nvidia stock, says market reaction wrong
The most dangerous use of deepfakes is the workflow for manipulating those kinds of people.
> Why should we use anything at all?

Same reason we play with models: it’s easier to understand through analogy, with the familiar cast unfamiliarly.
Yes, but even that can still be run (slowly) on cpu-only systems down to about 32gb. Memory virtualization is a thing. If you get used to using it like email rather than chat, it’s still super useful even if you are waiting 1/2 hour for your reply. Presumably you have a fast distill on tap for interactive stuff.

I run my models in an agentic framework with fast models that can ask slower models or APIs when needed. It works perfectly, 60 percent of the time lol.
Babies also aren't rectangles.. you could lay a row shoulder to shoulder, then do another row upside down from the first and their heads would fit between the heads of the first row, saving space.

Edit: it also doesn't account for the fact the moon is more or less a sphere, and not a flat plane.
Reader died because people were switching to social media.

Reader also had no vendor lock in at all. There’s no network effect like Facebook. There’s no massive infrastructure demands like Google. No corporate sales process like Oracle, Microsoft, etc.

You could very easily create a competitor and after it died, few even tried to replace it. I miss it but not enough to find another RSS reader.

You’re never really the villain if there are viable alternatives and next to no switching cost. It would have been hard to make that product evil.
The court of public opinion isn't supposed to. The state can put you in jail, so the state requires a higher standard. A random person only needs to use their best judgement. Which is how it has to be. A random person can't spend their time substantively investigating everyone who comes across their path, and doesn't have the same powers as law enforcement to do so if they wanted.
The $6M that is thrown around is from the DS V3 paper and is for the cost of a single training run for DeepSeek V3 - the base model that R1 is built on.

The number does not include cost for personell, experiments, data preparation, chasing dead ends, and most importantly, it does not include the reinforcement learning step that made R1 good.

Furthermore, it is not factored in that both R3 and V1 are build on top of an enormous amount of synthetic data the was generated by other LLMs.
Show HN: Bootstrapping a community for software testers and quality engineers
I wanted to show y'all what we've been building. We call it the MoTaverse, an alternative to the social networks and communities out there.
Thanks! I learned a new word!
I think it's a desire for minimalism. In a world filled with websites saturated with ads, clickbait and constant attention grabs, this is like walking from an overcrowded city street into a Zen garden.
Woah! No way you just built what we are building internally. I wish we could just OpenSource our version of this. Looks cool

Couple of things,

- The UX is too on the face. A trait fo good devtool is to use spacing as much as possible. The navigation seems confusing!

- If you could auto add client/providers, I would help users a lot. Especially considering the models that do not support the OpenAI standards.

- Better font please :=
For that amount of money, the author could have just bought one and run f3 [0] on it instead of FUD-ing about "suspicious"-ness

[0] https://github.com/AltraMayor/f3/
LinkedIn is the eBay of social networks.

1. captive audience due to early network effect - and no significant alternatives

2. innovation halted years ago

3. juice the profits: steady state OK growth forces deep cost cutting. The customer experience suffers first
>What does this guy's day look like? How can he function high all day?

It's a matter of experience and tolerance. A heavy weed smoker doesn't get "high" in the same way as someone who only smokes on occasion. You get a buzz, a slight alteration of your inner state, but there is no huge impairment. For some people, especially those who work intellectually and creatively, it's quite the opposite actually.
Promising results from DeepSeek R1 for code
Show HN: Elasti, a K8s based scale to zero solution that works with keda
Elasti is a solution to enable kubernetes to safely scale services back from zero when traffic arrives. It relies on kubernetes built in resources only to perform this without any external dependencies.

Elasti has first class integration with keda and plans to work with plain HorizontalPodAutoscaler resources in the future.

Features:

- Works for both north-south and east-west traffic within the cluster

- Both kubernetes deployment and argo rollouts are supported as scaling targets

Any feedback would be much appreciated
>Legg’s affidavit did not disclose that police used facial recognition as part of their identification. He failed to say that Clearview AI issues a disclaimer saying its facial recognition reports are not admissible in court, according to testimony.

>He also did not indicate that the facial recognition report returned several photos of people other than Tolbert. The affidavit simply says the fusion center matched Tolbert to “the unidentified male suspect, based on recovered surveillance video.” The filing adds that police also conducted interviews in the case, but it does not say who was contacted or the information provided.

AI or not it seems like they got caught lying.
I'm still inclined to see that as a win. Cigarettes have significantly more downsides than just the nicotine.
I really hope they are successful. So sad not to have this option for ocean crossing flights.
Corporations are not democracies; this has nothing to do with democracy.
AMD would rather use their fab capacity to sell $20,000 MI300X's than $450 GPU's.
Man, I'm a gadget guy, and I have been all my life, but this is one bit of tech nostalgia I don't get.

I had a Pebble. It never came close to being a watch I wore normally; I just used it when cycling, as a "notifications screen" -- that way, if I felt my phone vibrate in my jersey pocket, I could steal a glance at my wrist to see if it was important enough to stop (which basically meant "is it my wife?").

When it died, and Pebble was gone, I replaced it with an Apple Watch, and it's that class of hardware that proved so handy that it mostly has supplanted my collection of fancy mechanical watches.
they're trying to show that a good part of the economic assumptions behind the AI boom are flawed. That is, dramatic increase in energy and chip demand.
Do you have a link to him saying that, please? I want to see the context and whether this was absolute. Was it "few evil founders can be successful?"

We might also want to delve into what "evil" means here. Presumably he's talking about evil in the way that they treat their employees?

As sibling says, that's his core expertise, so not quite relevant.
People's fundamental rights and freedoms are not technicalities.
Apologies, I had done that in the past and it didn't get any copyright strikes despite using obviously copyrighted audio.

I guess they've since changed their policies.

From a copyright perspective there's no issue with uploading your own personal videos with copyrighted material in it to a site like YouTube so long as they're still private. I guess YouTube just assumes if you're uploading it there, you're going to eventually want to make it public. IMO they should just show the results of their scans to clue you into potential copyright claims but not actually do enforcement if the video isn't available publicly.

Note: an unlisted video is still a public video.
Where exactly do you get your news that you have heard nothing about this?
It’s kind of funny all those supposedly complicated technologies are actually pretty simple when you understand why you are using them. Docker is the best example, it’s hard to understand what is happening unless to understand the problem it’s solving.
That’s what exactly one marketing guy thought me: never use your real account to launch any ad campaign. Create individual account somewhere for each campaign. Because automated systems are out of control and can ban you anytime without a clear reason. Even for legit food or cosmetics ads it happens sometimes. So it’s time for you to create another account and expect to get control of your old one in the future.
the parent said: to block things that are illegal. phishing is illegal.
https://archive.ph/stk9W
> And China has a lot of other tech available to it already that they could do much more harm (phones, robot vacuums)

True. But here it is more about the computing power they would be able to access.

If only Bitcoin or Ethereum were stilled mined using GPU, that would be a great cryptojacking opportunity
Or your modern OpenVMS V9.2 x86 as a VM:

Community license:

https://vmssoftware.com/products/licenses/
I never thought I'd be a fan of a government agency. But here we are.
>But I just find it baffling how acceptable it is to see someone publicly smoking weed at 7am on a weekday.

Not everyone works a business day. 7AM on a weekday may be a day off, or may be someone on 3rd shift coming home and unwinding.

Weed is also not really like booze. There are no end of jobs where being a little high is probably a net positive.
> It requires no skill, no intuition, no mastery

Next time you use generative AI try to use a prompt and iterate on it. We usually prompt generative AI, maybe you are using it without prompting. Who knows.
Unfortunately, Apple’s RAM and Storage upgrade prices are very in line with other class comparable OEMs.

I’m sure there’ll be some amount of undercutting but I don’t think it’ll be a huge difference on the RAM side itself.
An alternative approach is to use comments, which allow changing arbitrary string literals into injected contexts, as JetBrains does: https://www.jetbrains.com/help/idea/using-language-injection... I have found that to be more helpful in cases where the data flow can't or doesn't prove how a string is being used, as in:

def doit():
# language=SQL
s = "SELECT * FROM FOO"
run_sql(s)
def run_sql(s: str):
cur = conn.cursor()
cur.execute(s)

Although I am not certain if tree-sitter allows matching on comments, but https://github.com/tree-sitter/tree-sitter/issues/1138 seems to imply that it does
> Am I Just Collateral Damage of a Barely Functioning System

Yes, sorry :( I've heard of similar things happening with Facebook.
Go try to learn a college level mathematics concept from Wikipedia, then try to learn it from ChatGPT. The wiki article may as well be written in a foreign language
The CEO did gave a statement about their motivation. Could be a lie, but he delivered and it is also vastly more sensible that what we often hear from other companies. Google and Meta are an exception for this space though.

Also, because not only the weights, but also the data is open, any propaganda can be identified and corrected. This is not the case for other models and what we have seen from Gemini, there certainly are "adaptations". I don't think Google had ill intent here, but this would fit what some would classify as propaganda.
And the Post Office is also undemocratic?

"where the president constitutionally has power"

What a vacuous statement, trivially true.

This thread concerns civil servants, some of which are in important positions.
This is going to make a great addition to my e-ink collection:
- Remarkable Tablet
- SOL Reader
- Kindle
A few questions popped in my head. Can you retain the knowledge to evaluate model output required to effectively help and guide models to do something if you do not do it yourself anymore? For humans to flourish, does it mean simply “do as little as possible”? Once you automated everything, where would one find meaningful activity that makes one feel needed by other humans? By definition automation is about scaling and the higher up the chain you go the fewer people are needed to manage the bots; what do you do with the rest? (Do you believe the people who run the models for profit and benefit the most would volunteer to redistribute their wealth and enact some sort of post-scarcity commmunist-like equality?)
If I could go back I would start by reading Josh Starmer's Statquest Guide to Machine Learning, and then his guide to AI/Nueral Networks[0]. Starmer does the best job at explaining advanced ML topics in a very beginner friendly way, the books are literally written in the format of a children's book.

Then just start tinkering. I got interested in ML because of sport's analytics and betting markets so I read a lot of papers on that topic and books similar to Bayesian Sports Models in R by Andrew Mack[1].Also, Jake VanderPlas's Python Data Science Handbook is good[2].

Ideally, find a vertical you're interested in where experts have applied ML and read their papers/books and work backwards from there.

[0]: https://statquest.org/statquest-store/
[1]: https://www.goodreads.com/book/show/216487475-bayesian-sport...
[2]: https://www.oreilly.com/library/view/python-data-science/978...
TaxFree Global: Vat and Currency
Opengrep Emerges as Open Source Alternative Amid Semgrep Licensing Controversy
There's a rumor that an unnamed ISP did exactly that - overcharged a large portion of its customers due to a software bug. Then decided to not fix the issue instead relying on customers to call support and have the charge fixed.
There are different versions of the model as well as using it with different levels of quantization.

Some variants of DeepSeek-R1 can be run on 2x H100 GPUs, and some people managed to get still quite decent results with a even stronger distilled mode running it on consumer hardware.

For DeepSeek-V3 even with 4bit quantization you need more like 16x H100.
It doesn't seem that cheap. Microcenter in-store will sell a 32gb microSD card for $4.
Can an uber (eats) delivery really be an order of magnitude more expensive and still be viable? Same for Airbnbs, which already cost 30-50% of a hotel.

However I agree that the gig economy artificially distorts the employment statistics by creating jobs that should, perhaps, not exist at all. A significantly increased unemployment rate might have a real impact on politics.
All this media frenzy around DS V1 makes me feel sick to my stomach.

It increased the noise in the AI space by orders of magnitude. Every media outlet is bombarding you with a relentless torrent of half-true information, exaggered interpretation of single facts and speculation.

Sometimes I wonder whether this is amplified by a state actor?

Also curious, how Minimax-01, which is also an excellent model with impressive improvements, went by completely unnocited.

The only good thing is that this certainly put an end to OpenAIs price gauging - pretty sure that $200/month individual plan is not the limit of their imagination.
I'm pretty sure they're referring to "the ideals that formed the United States". They're not nearly as admirable as we like to believe.

Some of the worst atrocities are no longer in practice -- though it took the bloodiest war in US history to achieve some of them. But that's not the same as fixing the ideals, and many of those problems are still woven through the fabric of the law and the society.

Imagine what those "ideals" might have been if women, blacks, native Americans, poor people, and others had been in the room. Giving them the right to vote after the basic framework is laid down does not accomplish that.
Yes, but I think most of the rout is caused by the fact that there really isn't anything protecting AI from being disrupted by a new player - They're fairly simple technology compared to some of the other things tech companies build. That means openai really doesn't have much ability to protect it's market leader status.

I don't really understand why the stock market has decided this affects nvidia's stock price though.
Show HN: Open-source tool to find dev leads and write job descriptions from code
I’ve hired for startups and enterprises, and writing job descriptions and sifting through resumes was always a grind.

I realized we could reach out to the people who’ve already contributed to the tools we use. A warm intro like, “We’re using [XX library] at [Startup]—are you open to new opportunities?” felt so much better than cold outreach.

So, I built Repotalent. It generates job descriptions from your codebase (package.json, pyproject.toml, etc.) and finds leads by identifying contributors to the open-source tools you rely on.

open sourced
https://github.com/johanmic/repotalent

or use HACKERNEWS_001 for some credits test
> I won't be installing that thing at home. I'm not that mad, yet.

What do you do instead? Colocation rental in a DC?
He’s retired and I thought it might be accidental.
I think that viewing from the terminal can be convenient when actively using it with zellij, tmux, etc.— when in one pane you're developing, in the second the build is running, and in the third you're watching anime.
“The door refused to open. It said, "Five cents, please.”

Nobody tell Elon this is a thing.
Let's not forget, that also doesn't make you an expert in the history and society evolution, as we can all agree that a part of HN public still believe in “meritocracy” only and think that DEI programs are useless.

An experienced person on how is challenging to implement this in the Tech world: https://news.ycombinator.com/item?id=42658998
Sorry that happened. There are two things every technology user should understand:

1) If you do not own the hardware your data lives on and the entire software stack to access and use your data, then you do not have control of your data and you may lose it at any time.

2) There is no such thing as computer security. If your data is on a networked computer, it should be considered semi-public.

Closed-source and for-profit companies are constantly trying to take control of your data away from you and reassure that it is safe and secure, but it is not. You must be prepared for your data stored in someone else's services to be destroyed or made public at any time. I'm sorry you learned this one the hard way :(

If it's any consolation, a LinkedIn account is not required for getting a job. I've never had one and I have a career I'm very happy with. I can't speak to getting funding or payment processor stuff, but I have a hard time believing it's a hard requirement there, either.
WavPack 5.8 Lossless Audio Compression Tools Enable Multi-Threading by Default
then in this case, the policy maker is the person that empowered the AI.

doesn’t change the fact that the AI is seemingly being given final authority over policy decisions.