skysight-inc/HackerNews huggingface dataset:
I assume its a responsibility thing. If your bank login gets hacked on a no longer supported phone, you cannot point at other issues since you were not uptodate anymore. Even if it doesn't matter.

*Written from my 4a.
Haven't gotten an email yet!
I do have to say, that before knowing what was Simd it was all black magic to me. Now, I've had to get how it works for my thesis, on a very shallow level, and I have to say it's much less black magic than before, although I wouldn't be able to write Simd code
>I don't want Google to mess with things that already work.

Unfortunately, that is exactly how Google rewards performance internally
So I'm not an expert in this but even with DeepSeek supposedly reducing training costs isn't the estimate still in the millions (and that's presumably not counting a lot of costs)? And that wouldn't be counting a bunch of other barriers for actually building the business since training a model is only one part, the barrier to entry still seems very high.

Also barriers to entry aren't the only way to get a consolidated market anyway.
> What they are talking about is using AI as a proxy for racial, gender, and age discrimination.

See also: "It's not a crime if you do it with an app" [/s] - https://pluralistic.net/2025/01/25/potatotrac/
Mike from Baseten here

We're super proud to support this work. If you're thinking of running deepseek in production, give us a shout!
This about sums up my feelings on the topic, thanks for taking the time to put your thoughts into words
Been thinking about EVs. They are cheaper per kilometre driven. So would this not mean that the owners of them spend more overall than ICE owners spend. And would drive a lot more. As Jevons Paradox means the demand for driving will be higher thus overall money spend on driving will go up.
The dedicated website is also more informative (though pretty high level): https://www.iceman.it/en/the-mummy/
Is there a Switch update yet?
Given what we know about Apple and Cook, this seems like at least a modestly foolish story for Chang to have told.

Apple’s senior leadership has always for better or worse had long memories and held even longer grudges. And they don’t like partners to speak for them, or create the impression—even if accurate—that Apple has a dependency on a single supplier.
That depends entirely on your own perspective, namely if you're ambitious or wallowing in despair.

America is a free country, the country and indeed the world is what you make of it. Nobody ever said living free was easy.
From my experience working at a big bank -- non-technical decision makers love big O. Something about paying for licensing and the support that comes with it makes them feel warm and fuzzy.
They did. Yann LeCun and several other prominent researchers testified before congress.
> Proofs are a deductive concept with no basis in reality. This is basic Hume.

One, it's not. Two, you're trying to use Hume to prove a statement that refutes itself. The claim that your can prove proofs oxymoronic is itself an oxymoron.

Hume's critique of causation, moreover, has been amply supplanted since the 18th century. (Similar to Newton. In parts, it's been buttressed. In others, surpassed.)

> All we can work with is inductive and abductive reasoning, neither of which is sufficient for a proof

Mathematically false [1]. (And related to famous Gedankenexperiments, which prompted real science.)

Of course, this whole thread is a farce: you're purposefully confusing mathematial proofs with the colloquial "proof."

[1] https://en.wikipedia.org/wiki/Mathematical_induction
Any additional capability will be quickly filled with bloat, especially in the video game industry, where optimization is for post-release.

Expect a lot of creatively bankrupt tech demos with eye-watering hardware requirements.
Radiolab did a fun podcast piece on this a while back. Great background listen: https://radiolab.org/podcast/ice-cold-case
But then they should indicate that. Which they don't.
> Yes, but you can keep trying. In entrepreneurship, you only need to be right once

And how many entrepreneurs are “right” enough to make up for the years of lost wages they could make even as ordinary CRUD enterprise devs let alone working for BigTech or adjacent? Not to mention the compounding returns if they had invested the money early?

HN especially suffers from survivorship bias. You don’t hear about all of the failed founders who are in their 30s and 40s with nothing to show for it and unemployable.

The “best” system is to “grind leetCode and work for a FAANG” (tm r/cscareerqyestions). Even the second best system of working your way up through enterprise dev is much more likely to succeed.
Did you even read the article? This is about offering companies a private 1:1 slack channel between your team and the support/sales team. Many companies offer this nowadays if you're on a large enough plan to be assigned an account manager and I prefer it >100x to email because I know a human is going to be in the loop.
The US Administration is preparing new restrictions on sales of chips to China.
> It makes no sense that you'd keep an insecure service because you forgot someone needs it. You turn it off and the reminder will promptly come to you. After this it's a decision, not oversight.

You’re assuming an org that had a policy my in place for this which was followed all along, and not that it’s a piecemeal service barely held together by dreams and prayers. My experience with university It departments is there’s an _incredible_ amount of “dunno who that belongs to but don’t touch it because it might be important” going on.
My NAS isn't really a NAS, it's a fairly hefty server with a Ryzen 9 on an ASRock Rack board in a CS381 case with 8 hot-swap bays occupied with SAS and SATA HDDs as well as 2 nvme drives in the board itself. It's a server doing server things and one of those things happens to be roleplaying as a NAS.

It runs a bunch of VMs with their primary drives on the HDDs but most of the VMs are idle most of the time unless I'm working on something, like deploying to the Kubernetes clusters so it's just Ubuntu, Debian, whatever else I'm running doing it's thing with logs etc.

Some of the drives are used for storage in the traditional NAS sense so they get hit for backups nightly.

The HDDs keep failing on a pretty regular cycle every few years so switching them to SATA SSDs might be an idea. I only used the "server" part of it once a month or so when I want to test some deployment etc, the only reason it's on 24/7 is because of its NAS usage.

I use mostly Z1 mirrors at the moment, 4 pairs of drives, as for SSDs, I'm yet to have a single one fail in any machine I own or have owned since SSDs were first a think. I tend to stick to good-brand drives such as Samsung EVO Pros or if I'm trying to save a bunch of cash and the data isn't I buy Crucial.
This smells like a proxy maneuver against Big Tech for their posturing toward the Trump Administration.
The courts are our only defense against this lunacy.
> And it doesn’t matter if Trump defends Taiwan and makes China back down - the fabs will have been bombed to bits.

What would prevent the US from directly attacking China's domestic fabs in this scenario? Defending Taiwan doesn't seem as proxy-ish as Ukraine considering China considers it their territory already.
Hi, i might be out of the latest trends here but could you clarify the purpose of a "SDK"?

API's have always been there, but corresponding SDK's? A link to an evangelist article somewhere?
This is all very well but how are going to make money? They have taken VC investments.
OpenAI, who comitted copyright infringement on an massive scale, wants to defend against a superior product won the basis of infringement? What nonsense.
I'm not OP, but in my case the answer is the same as flu - it's likely to be a routine annual thing. Eventually it'll probably be part of the flu shot.
So, once again, everything is securities fraud?
> If America wanted EULV fabrication, it had to be organized and funded by the state.

The DoE funded initial research in to EUV via the national labs and EUV LLC back in the 90s. The IP was licenced to ASML, whilst Canon and Nikon (the leaders in lithography at the time) were blocked.
You figure that out and the VC's will be shovelling money into your face.

I suspect the "it ain't training costs/hardware" bit is a bit exagerated since it ignores all the prior work that DeepSeek was built on top of.

But, if all else fails, there's always the tried-and-true approaches: regulatory capture, industry entrenchment, use your VC bucks to be the last one who can wait out the costs the incumbents do face before they fold, etc.
> training off of data generated by another AI is generally a bad idea

It's...not, and its repeatedly been proven in practice that this is an invalid generalization because it is missing necessary qualifications, and its funny that this myth keeps persisting.

It's probably a bad idea to use uncurated output from another AI to train a model if you are trying to make a better model rather than a distillation of the first model, and its definitely (and, ISTR, the actual research result from which the false generalization has developed) a bad idea to iteratively fine-tune a model on its own unfiltered output, but there has been lots of success using AI models to generate data which is curated and used to train other models, which can be much more efficient that trying to create new material without AI once you've gotten to the point where you've already hoovered up all the readily-accessible low hanging fruit of premade content relevant to your training goal.
>Even if the US and China were at parity in AI systems, it seems likely that China could direct more talent, capital, and focus to military applications of the technology. Combined with its large industrial base and military-strategic advantages, this could help China take a commanding lead on the global stage, not just for AI but for everything.

China spends 1.5% of its GDP on its military. The US spends 3.5%. I get that the two countries are engaged in competition for dominance, but why is China the bigger threat here?

Also, there are a great deal of groups and institutions out there that are pushing for more diplomacy, more cooperation, and a ratcheting down of tensions. If Dario is going to get political anyway, why not go that route?
Sublime isn't an IDE - it's an editor.
Most people - even most Americans - aren't libertarian minarchists who believe everything the government does is harmful by default and that free market capitalism is an unalloyed moral good. History has shown that the kind of governance you want rarely works out well for anyone but oligarchs.
X/Freedesktop.org Encounters New Cloud Crisis: Needs New Infrastructure
Please make an Evernote competitor out of Sublime…
gentle stroll through the aliexpress alleyway tells otherwise.
The US is not some knight in shining armor, but people who act like the US's many many flaws and mistakes are equal to the ongoing issues in China are simply misinformed. The fact that we can discuss this at all on a US website shows why the US has the moral high ground here. We can actually discus our many problems without being sent to a mental facility. At the very least, one set of actions occurred because of politicians people voted in, the other occurs without the consent or will of the people.

Edit: Plus the CLOUD act requires a public warrant or subpoena that must be granted in a fair court, as opposed to China's laws, which allow the government access to data whenever they please.
Oh and DLSS 4.0. A lot of AI frames, with actual responsive frame rate entering into cinematic territory...
Garbage collection is orthogonal to "native", by which I take you to mean compiled to native machine code as opposed to something like Java's bytecode compilation or an interpreted language.

Go, D, Common Lisp (implementation dependent), and others offer GC and native compilation.

If you count automatic reference counting like Objective-C's ARC, you can add it and Swift to the list of natively compiled languages with GC.
> WD mixed both CMR and SMR for the WD Purple, an a few other models too.

Could you point me at an example of a SMR-based WD Purple drive? Is this just a historical thing? As mentioned in my other comment, the spec sheets [1] say all (current) drives are CMR.

> Actually the Purple only has one distinguishing characteristic. An ATA command to skip bad sectors instead of trying to read/write repeatedly. This is great for an NVR but it's not mandatory to use.

I'd also be interested to see a reference / details for this.

[1] https://products.wdc.com/library/SpecSheet/ENG/product-brief... https://products.wdc.com/library/SpecSheet/ENG/product-brief...
No Man's Sky is the poster child for turning a shitty launch into a success. You can really feel the passion of the staff at Hello Games in the current version of the game. It reminds me of the quote, which I'm about to butcher, that is along the lines of "People don't remember the problem, they remember how you dealt with the problem".

If you haven't seen it, "The Engoodening of No Man's Sky" is a good review of the story. It's 5 years old now, and the engoodening hasn't stopped.

https://www.youtube.com/watch?v=O5BJVO3PDeQ
I'm trying to figure out what the actual latest update is doing regarding the battery. I found an update to the kernel binary but it doesn't seem the source has been updated.

Can I submit a GPL request to Google to get the kernel source?

https://github.com/bmaupin/pixel4a-battery-research
Jevons Paradox describes the situation where a 10x efficiency increase results in a >10x deployment of lumens, such that the amount of energy consumed for lightning increases relative to when lighting was inefficient.
I don't understand how OpenAI claims it would have happened. The weights are closed and as far as I read they are not complaining Deepseek hacked them and obtained the weight. So all they could do was to query OpenAI and generate test data. But how much did they query really - I would suppose it would require a huge amount done via an external, paid-for API? Is there any proof of this besides OpenAI saying it? Even if we suppose it is true, I suppose this must have happened via the API so they paid per token etc. So they paid for each and every token of training data. As I understand, the requester owns the copyright on what is generated by OpenAI's models and is free to do what they want.
> world leader's ears are being filled with the claim that whoever wins the AI race wins everything, because AI will be able to win every other contest

This describes a narrow slice of Silicon Valley numpties.

World leaders see an economic opportunity. Both to spend and to produce. No politician will turn down the opportunity to announce half a trillion dollars of spending.
I'm currently on a course of antibiotics. They said the tissue around the appendix was to infected and they were scared they would rip it and damage something. They are giving me the option to have the appendectomy after I successfully recover with antibiotics but advise against it. I wish we had started with the antibiotics but here we are now.
Spammers know of the "+" trick, which was popularized by GMail. If they have any level of sophistication at all, they'll /+.*@/@/
Particularly relevant with the 100% tariffs that Trump is going to try to ram through:

https://www.tomshardware.com/tech-industry/semiconductors/ta...
Hitting an ice sheet might be worst case scenario for global impact.
D, Common Lisp, Go. All natively compiled (or can be in the CL case) with garbage collection.
How is this relevant to the fact that the US is actively misinforming the public on the actions of the US and it's allies by refusing to properly characterize clear actions? If anything it contributes to explaining your observation, not the reverse.
Public schools being extensions of the government can't teach religion without violating the guarantee to not favor certain religions over others.

That being said though, the US is in practice a Christian country first and foremost and that's likely not going to ever change.
About the GC we can agree to disagree. But about the runtime check out GraalVM which compiles Java to fully native standalone executables.
The answer to your question is yes. There is an open issue with llama.cpp about this very thing:

https://github.com/ggerganov/llama.cpp/issues/11333

The TLDR is that llama.cpp’s NUMA support is suboptimal, which is hurting performance versus what it should be on this machine. A single socket version likely would perform better until it is fixed. After it is fixed, a dual socket machine would likely run at the same speed as a single socket machine.

If someone implemented a GEMV that scales with NUMA nodes (i.e. PBLAS, but for the data types used in inference), it might be possible to get higher performance from a dual socket machine than we get from a single socket machine.
> If we step out of the echo chamber of HN and Reddit he is immensely popular. I was actually shocked around the holidays seeing many friends and family that are not internet junkies have a very strong overall opinion of Musk.

This has not been my own experience. In most of my offline circles he is regarded poorly, or at least as a joke.
> You will need to have all parts involved open-sourced to make a model "open", not just the weights

How do you propose to opensource terabytes of web scrape text? They give you what they can give you - paper, code, model weights. You can reimplement the code, while the weights are open to do what you like with them.
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Ah that would make sense because the CSS also didn't load in the page

It's probably for the same reason I can't view many other sites like Reddit, Imgur etc, because our VPN exit IP is from a cloud hosting provider.
In my opinion, it would be more moral to allow charity to cover healthcare for low wealth individuals over a government provided solution.

But even supposing a government funded solution is best, why push to the feds what could be solved by the state?
> claim to save maybe 0.5 W and 2-3 db of noise on the datasheet

The huge issue here is that hard drive datasheets have gotten very inaccurate.

They're not wrong, per se, but they tend to make very weak promises that ruin the ability to compare. Like if every car said "more than 10 miles per gallon".
This is the interview I'm thinking of:

https://www.youtube.com/watch?v=s4Cz49MLh4o

The general topic applies to what I mentioned but even just the specific mouse story is at this point in the video:

https://youtu.be/s4Cz49MLh4o?t=90

Folks who operate in a certain context / process or such and just can't imagine doing any differently and will stop you.
That's true when Apple has alternative suppliers, ie graphic cards when nVidia blabs before a presentation.

But who is going to replace TSMC? Sure someone will in 15-20 years, but for now...
OPNsense 25.1 Released
Related: https://www.deciso.com/opnsense-marks-10-years-of-innovation...
We currently evaluate DeepSeek-R1 for our production system. We aren't done yet, but I think it's a match.
Thank you for sublime! Have used it for the past 10 years. Do you mind if I ask is it your full time job?
> removal the pain feels good

Not quite. The pain causes an endorphin release. It's also addictive (not technically by the DSM sense, but those who do will often call it as such) and has been compared to heroin.
Sweden eyes sending inmates abroad as prisons full due to gang crime wave
> not sure I’d call what LLMs do intelligence

No, but it's good enough to replace some office jobs. Which forces us to ask, to what degree is intelligence--unique intelligence--required for useful production? (We can ask the same about physical strength.)
Yes, this is a joke - implying that his stance on DEI is self-serving and simply changes with the political climate. The physical appearance change is more superficial, but could also be seen as a change in PR strategy.

The joke above was that in a phrase like "Meta's Mark Zuckerberg ...", the first word is unnecessary because he's one of the most famous people in Tech, if not the country in general.
It’s quite ironic of them to claim that the only thing you cannot train on is another LLM output.
Isn't "code compiles" an insufficient criteria?

e.g you would need to prove that for all inputs the code produces the correct output which would in turn make the problem way more complex
Native auto-edit functionality in VS Code with Sourcegraph [video]
poast's nitter instance works as well: https://nitter.poast.org/carrigmat/status/188424436990727810...

(I use this firefox extension to automatically rewrite twitter links into it: https://addons.mozilla.org/en-US/firefox/addon/privacy-redir... )
We're a small team and just getting started, but we do want to cover all of the workflows you expect from a platform like this. We have simple tool-use functionality and some models that work well with it in the gallery. We'll expand on that based on user feedback so let us know if you have thoughts on which things are most important!
It's common to use incandescent bulbs as a baseline.
I wish I had a better understanding of the bimodal distribution of customer satisfaction with Amazon.

I know high volume customers who have 99.5% success with Amazon orders, and others who would say "pretty much everything I buy is used or fake".

First assumption is that it boils down to differences in product types. Certainly some types attract more seller fraud. But I wonder if there's also a region or distribution center variability, like the East Cupcake Regional warehouse does a crappy job of inspecting returns. Or the delivery manager in West Cupcake hires crappy drivers.

Amazon must do this analysis internally. I'd love to understand it better.
To distill a neural net the only thing you need is access to the softmax probabilities. You don’t need the weights. This is entirely consistent with the story—-large anounts of data being exfiltrated, not weights but the raw output before sampling.
Once again, I don't really care if Europe decides that is who they want to be friends with. If your country thinks that trade is more important than the country currently directly committing a modern holocaust, I don't want us to be allied with you at all.
need archive link
That's not the only issue. They want a guarantee that the model wasn't trained on copyrighted material.
> where the Moore’s law and advancement will eventually allow people to run open models locally

Probably won't be Moore's law (which is kind of slowing down) so much as architectural improvements (both on the compute side and the model side - you could say that R1 represents an architectural improvement of efficiency on the model side).
Aren't they primarily an advertising company? They definitely charge for ads. Probably more of a duopoly with alphabet though.
Something in between.
example: https://gpt-tokenizer.dev/
no more unlimited photos upload for you.
I have never played origin advanced features but this seems like a great start, thanks for sharing.
That's going to be much slower and more expensive than writing tests because image/video processing is slower and more expensive than writing tests. And because of lag in using the UI (and re-building the whole application from scratch after every change to test again).