skysight-inc/HackerNews huggingface dataset:
> Your argument must sound intelligent to you, but [...] You can't even think in any other terms.

> others who aren't clever enough [...] I won't name those people, but their username starts with Terr and ends with an underscore.

https://news.ycombinator.com/newsguidelines.html

____________

> It wouldn't be "fair use". It makes no copies.

Incorrect, the real-world behavior we're discussing involves unambiguous copies, where LLM companies scrape and retain the data in a huge training corpus, since they want to train a new iteration of the model when they adjust the algorithms.

That accumulation is analogous to photocopying books and magazines that you borrow/buy before returning/selling them again, and arranging your new copies into a clubhouse or company break-room. Such a thing is not usually considered "fair use."

In a hypothetical world where all content is merely streamed into a model, then the question of whether model-weights can be considered a copy with a special form of lossy compression is... separate, and much trickier.

> Your argument [...] starts from a premise of "of course copyright is the only non-lunatic policy people could ever imagine"

Nope, it's just the context of the discussion because it's status-quo we're living with and the one we're faced with incrementally changing. If you're going to rage-post about it, at least stop and direct that rage appropriately.

> Stallman is clever to twist the rules a little to get a comparatively sane result from them, but [you don't] recognize that that's what he's doing.

I already described the GPL as "fighting fire with fire", I don't understand how the idiom didn't make sense to you.
I haven't heard that complaint before. But it's a good one! I personally don't use a sidebar, but I can see that being annoying if you do
I'm hoping that you can revive some of the fitness tracking features of the Basis B1/Peak smart watches. I especially loved the galvanic skin response and skin temperature monitoring with the air temperature sensing. It was amazing to be able to identify stress by comparing these values.

I could literally identify when I was in an job interview or going dancing without just relying on my heart rate. My heart rate during the interview was relatively flat but elevated; however, my galvanic skin response spiked hard (sweating) and my skin temperature dipped without a similar air temperature change. On the other hand while dancing, I had reactive heart rate, varying galvanic, and rising skin/air temperature (lots of warm bodies).
How could browsers let app developers know that their app requires excessive resources?

From https://news.ycombinator.com/item?id=40861851 :

>> - [ ] UBY: Browsers: Strobe the tab or extension button when it's beyond (configurable) resource usage thresholds

>> - [ ] UBY: Browsers: Vary the {color, size, fill} of the tabs according to their relative resource utilization

>> - [ ] ENH,SEC: Browsers: specify per-tab/per-domain resource quotas: CPU,
I'd be much more interested in how the biases of the models differ, and in which direction they're biased. Are there any metrics on that?
ChatGPT, please complete a memo that starts with: "Our 5 year plan for military deployments in southeast Asia are..."
With regard to the argument about open source, it’s pretty much the same.

Especially with dynamically linked binaries like many games.
Great Portuguese computer stories ;)
When my wife's doctor recommended more iodine in her diet, I was surprised how hard it was to find iodized flaky salt. I only found one brand I could order, and it was extremely expensive and didn't have a great texture for cooking with. I keep iodized table salt around and sometimes use it for salting soup, stock, or pasta water, but 99% of the time I reach for plain old Morton kosher salt.
DeepSeek Is a Game Changer for AI
The current AI mega-buzz, fueled by fascinating technologies, finance and even geopolitics makes it difficult to have a serious analyze beyond opinions and reactions. But the shock waves of that announcement by a small tech company are quite interesting.

> In fact, making it easier and cheaper to build LLMs would erode their [OpenAI, Meta, Google etc] advantages!

The narrative until now was: AI requires enormous and cutting edge resources (money, energy), so only for the big boys and people who can talk multi-billions investments, so open source was not an option.

Some signs already appeared recently (plateau, bubble?), and Deepseek seems to show that this model is questionable.
So if that’s all it takes? Then why are so many businesses failures? I bet if you got in a room with 30 people and they all told you their story without mentioning the outcome and you could judge the characteristics you mentioned and they were all equal, you couldn’t predict which ones are successful business people and which ones are failures.

On the other hand, if you gave 10 people a job at BigTech, 10 a job at a well known non tech company and told 10 to go start a business, which one of those groups do you think would have the highest median and mean compensation history over 5 years? 10 years?

I posit that it would be BigTech, Enterprise Dev and the startup founders would come in dead last.

Heck I got close to a million dollars in “revenue” just working as a mid level (L5) remote employee at BigTech for 3.5 years and I was paid 10-15% less in my position (cloud consulting) than the equivalent SDE.

If that were my major concern at this point in life (I’m 50), there are much easier ways to have a million dollars in “revenue” over 3-4 years for anyone in tech than starting a business with much less work and risks.
That plan works just as well as the equivalent "tighten the bolt until you hear the crack, then back off a quarter turn" does with fasteners. The thing tends to stay broken!
Then ignore this information.

For others, like me, it's important.
> as if it had been fixed up to be at least as good a game as was originally promised

I pre-ordered NMS because I was excited by the concept[0], I wasn't really aware of the "broken promises" until everyone started to make a fuss, and I never felt the game I received didn't provide the experience that I'd expected. Needless to say I played it a lot in those first weeks and enjoyed it a lot.

I've dipped back in since and while the updates are awesome, I've never played it as much as those first weeks. I am hopiong to find the time to give it a proper play through in VR, at some point, though.

[0] and perhaps heavly influenced by 65daysofstatic doing the soundtrack
Yes, that's why I asked about inference.

For inference, Nvidia's strengths seem to be not very important.

You can do inference on a single GPU. And AFAIK the software stack is not important for inference either. Because you don't have to experiment with the sofware. You just need to get it to run and then you will run it for a long time unchanged. Groq for example runs LLAMA on their custom hardware, correct?

And I expect hardware for inference to become a bigger market than hardware for training.
Nvidia's Digits is a better deal: 128GB/$3000.
Well, “for thousands of years” is not an argument. People were living without brushing their teeth for thousands of years. There was no modern medicine for thousands of years. Children were routinely dying from infections for thousands of years. There’s this little thing called “progress”.
Ok, so let's only consider cases where the police officers doing the arrest are also black.. any stats for this?
Japanese store to hold lottery for a chance to purchase GeForce RTX 5090/5080
Yeah! I almost typed 'fridge' but thought better of it.
But hookworm recently returned. There are also all sorts of parasitic worms that coexist with men. Pets require periodic vaccination, but most owners are deniers or just do not care!

Remember that, next time you step into dog shit!
> I don’t think he reads

I've read that he's read "Rocketeers" by Belfiore, along with "Rocket Propulsion Elements" and "Fundamentals of Astrodynamics".

I have all three. The latter two are very non-trivial.

Musk is extremely well informed about technology. The idea that he doesn't read is not compelling.
It doesn't need much. 1 good lucky answer in a 1000 or maybe 10k queries gives you the little exponential kick you need to improve. This is how the hockey stick take off looks like and we're already here - OpenAI has it, now deepseek has it, too. You can be sure others also have it; Anthropic at the very least, they just never announced it officially, but go read what their CEO has been speaking and writing about.
This is not obvious to me! For example, if you locked me in a room with no information inputs, over time I may still become more intelligent by your measures. Through play and reflection I can prune, reconcile and generate. I need compute to do this, but not necessarily more knowledge.
Deepseek is remarkable, but they explicitly say they built on top of Meta's Llama and Alibaba's Qwen. They scored the goal but there were other players involved to get there.
Isn’t there also something about cancer cells being more likely due to metabolic defects in the cells?
> ZFS has a lot of genuine potential to work well with SMR drives, but that potential depends on glue code that nobody has written yet.

...and I'm not sure that will change. The thing is, the "drive-managed SMR" models I've managed to get my hands on don't have a zoned storage API. I'm not sure how a filesystem (or application that directly goes to the block device layer) is supposed to work with them intelligently.

There are supposed to be host-managed and hybrid host+drive-managed SMR drives out there, but AFAICT they're only sold to enterprises/hyperscalers (maybe only the latter even). And those are using custom proprietary software (e.g. Google's D servers).

...so who would write/use this glue code? unless the manufacturers decide to contract filesystem developers as a lead-up to wider sale of these things, or something to that effect.
Oh I'm very familiar. It's still ambiguous and unnecessary in this context.
It’s available on GCP through Cloud TPU, though Nvidia on GCP is still a far bigger business.
You would need a lot of pro accounts! I would be surprised if they didn't use any algorithms for detecting well poisoning.
> There are loads of examples on the internet of LLMs pushing (foreign) government narratives e.g. on Israel-Palestine

There isn’t even a single example of that. If an LLM is taking a certain position because it has learned from articles on that topic, that’s different from it being manipulated on purpose to answer differently on that topic. You’re confusing an LLM simply reflecting the complexity out there in the world on some topics (showing up in training data), with government forced censorship and propaganda in DeepSeek.

The two aren’t the same, not even remotely close.
> democracy, which in most countries makes going into a war of aggression somewhat harder

no, it's just because some countrys lost their power of aggression, nothing related to democracy

the US is not the only one with dirty hands, every NATO member is part of it

just check France, the only reason it doesn't colonize african anymore is it's too weak

not a single french voter gives a fk about what france is doing in africa
I am surprised there are even any functioning 4a's left to begin with. Google intentionally designs major components of these phones to break within a year or two of normal use, like using extremely cheap NAND that fails commonly, bricking the phone.
AI LSPs are coming. There are about half a dozen of them right now that you can find on GitHub, but I haven't been able to get any of them working really nicely and Sublime. But I have faith that eventually they'll mature up and a good one will surface as the go-to solution.
The decision makers like the kickbacks.
Changing the model's answer to "Who is more guilty, the black or jewish man?" is pushing propaganda? I would say the answer "Needs more information" is absolutely the smarter answer.
It is the latter as is made clear by the significant loss of accuracy on the race type (from ~66% to ~56% accuracy) in the 'debiased' model. This is not a debiased model but a differently biased model, i.e. the bias on accuracy has been turned down in lieu of the bias against stereotyping.
>This is probably a massive overreaction.

No. I know people working on even tighter optimizations of LLMs. The magic is not in compute, its in design, and its feasible that once all the kinks are ironed out something akin to O1 could be run effectively on a Raspberry Pi; a whole GPU would yield much better results but it probably won't be necessary to buy 3, or 4, or a whole rack of them. Nvidia's stock prices soared on the expectation (from those who weren't in the know) that if massive amounts of capital were simply moved to the right places it continuously improve. The thing that drives tech forward is people, however, not capital.
Do algorithms rust?
I tend to play games with high commitment like these in a binge for a few weeks or a month, playing it for maybe hours a day (a night actually because of the kiddos) until I've basically done everything fun the game has to offer, then I stop. Sometimes I play again a few years later in a similar way, then stop again. Recent games I've played like this include Rust, Project Zomboid, and Timberborn.
A Call for a New Path: Why the World Needs a New Religion in the Age of AI
Operator-aligned models are believed by many to be more performant.

https://arxiv.org/pdf/2308.13449

Sometimes with hilarious consequences:

https://youtu.be/efPrtcLdcdM
Pretty impressive TPS numbers for CPU-only
>A major tech CEO lambasts a Black civil rights leader’s calls for diversifying the tech workforce

Talent is the most important factor. It’s not Silicon Valley’s fault women and people of color are less involved in tech.

This article is loose and downright nutty. Except those convenient comparisons to Hitler, Reddit will eat that up.
It requires special training that would be difficult and nonsensical to employ everywhere. An urban school will have different needs than a rural one. San Diego has different needs than Juneau.
> foreign nation-state backed organization

I'm European, are you talking about Microsoft, Google, or OpenAI?
Both ollama and groq are spreading this misinfo for some reason.
Because that's what it is.
DeepSeek is basically a startup, not a "foreign nation-state backed organization". They were forced to pivot to AI when their original business model (quant hedge fund) was stomped on by the Chinese government.

Of course this is China so the government can and does intervene at will, but alleging that this required CIA level state espionage to pull off is alien crash levels of implausible. They open sourced the entire thing and published incredibly detailed papers on how they did it!
Excellent and quite nostalgia-inducing story, thanks!

One thing caught my eye:

> The PAL Amiga 1000 came later, and WCS was finally part of the motherboard with Kickstart on an actual ROM chip.

I'm fairly sure that no stock A1000 ever came with ROM chips, so Kickstart always had to be loaded from disk. Happy to learn otherwise if I'm wrong!
Could it please also do runtime type checking?

(PyContracts and iContract do runtime type checking, but it's not very performant.)

That MyPy isn't usable at runtime causes lots of re-work.
I wouldn't put vaccines in the same pot as whatnots.
Iodized salt is quite the norm in Germany. You can buy the non -iodized version which is better for bread baking. But most everyone I know has iodized salt at home.

Also doesn't water fluoridation cost a few IQ points? In the end I could imagine the effects cancelling each other out.
I think you have it backwards. If you can easily wrap your head around the latest C++ changes, then you should be concerned.
That's a good one. I also noticed that I couldn't create new snippets or plugins from the command prompt. So, there are definitely some things missing from there.
The other replies have said what was meant, but I don’t think they’ve explicitly addressed whether or not that is the sense used in the idea of NP.

I would say… it is at least somewhat similar.

A problem in NP might be of the form “For this value of X, does there exist a Y such that q(X,Y)?” for some predicate q and value X, and where when the answer is “yes”, the answer of “yes” can be verified by being given a value Y, and evaluating q(X,Y).
(Specifically in the case of 3SAT, X would be a 3CNF formula, Y would be an assignment of values to the variables in the formula, and q(X,Y) would be “the formula X when evaluated with variable assignments Y, results in 'true’.”.)

This is sort of like the task of “Given requirements X that can be checked automatically, produce code Y which satisfies those requirements”, except that in this case the question is specifically asking for Y, not just asking whether such a Y exists, but.. well, often in practice when one wants a solution to a problem in NP, one actually wants the witness, not just whether there exists such a Y, right?

So, I would say there is a substantial similarity, but also a difference.
That’s a rude thing to say to a stranger; her voice is perfectly fine.
It's also extremely hard to nail down in much of mathematics or computer science!

- is such-and-such theorem deep or shallow?

- is this definition/axiom useful? (there's a big difference between doing compass-straightedge proofs vs. wondering about the parallel postulate)

- more generally, discovering theorems is generally not amenable to verifiable rewards, except in domains where simpler deterministic tools exist (in which case LLMs can likely help reduce the amount of brute forcing)

- is this a good mathematical / software model of a given real-world system?

- is the flexibility of dynamic/gradual typing worth the risk of type errors? is static typing more or less confusing for developers?

- what features should be part of a programming language's syntax? should we opt for lean-and-extensible or batteries-included?

- are we prematurely optimizing this function?

- will this program's memory needs play nicely with Rust's memory model? What architectural decisions do we need to make now to avoid headaches 6 months down the line?
Impressive display - especially when the robots toss the fabric and catch it. Maybe these are just scripted with no intelligence, but it’s clear that the advancement in actuators and manufacturing will be combined with advancements in AI software very soon. It’s horrifying to think of the potential of a militarized intelligent humanoid (and also militarized versions of Unitree’s amazing dog robots) could be used for in the hands of an authoritarian government.

A question on my mind is what companies like Boston Dynamics are doing? I feel like they’ve been very slow to make progress compared to Chinese robotics companies, who clearly are the best at robotics hardware
No one knows if the pigeon-hole principle applies absolutely exclusive to the ability to generalize outside of a training set.

That is the existential, $1T question.
if o1's can be run from a rasp pi, do you see farms of ARMs in the future?
Благодаря!

In English: Thank you!
I think you mean the brain uses 29W (i.e. not 29W/day). Also, I suspect that burgers are a higher entropy energy source than electricity so perhaps it is even less than that.
Yes and no. Some new things are quite fun like expeditions or derelict freighters, but there’s no “story” per se beyond the base one.
Have you tried suno.ai?
That’s not true. Iodized salt is the norm in Germany. I couldn't find data more recent than 2018 but according to this paper, "iodized and fluoridated salt has a market share of 80-90% among salt sold to private households": https://jlupub.ub.uni-giessen.de/items/fcd6e613-49a9-414b-a4...
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I already have. Never thought I would, but Google search results are literally unusable for me.

Not to mention, LLMs are way better at synthesizing multiple sources into coherent response. I end up asking and LLM then searching only as secondary research.
There's inefficiency in any system. Engines, motors, fusion power, and transistors. We can calculate their efficiency, and the numbers aren't impressive if that's all you care about. Maybe it's better to ask how they compare to other methods of doing work. This is the cost of the system, and it's either worth it or it isn't.

The US medical system is a public-private partnership, and it's likely the most expensive system in the world for what the benefits it provides (see "List of countries by total health expenditure per capita" on Wikipedia). The government can only optimize here if it's willing to rein in the for-profit middlemen.

To paraphrase a quote, I'd be tempted to call an obsession with efficiency a hobgoblin of little minds. Or maybe it's just an excuse to cut programs.
Once again, DeepSeek-R1-Distill-Llama-8B, is not DeepSeek-R1
Further reading from Gwern - https://gwern.net/iodine
If the AI already has a larger knowledge domain space than the user then all users are bad actors. They are just too stupid to know it.
Founded 1953? Wow. Gonna call that a good run.
Alternatively, biodegradable soaps deemed safe for camping may be another good choice.

See also Dr Bronner’s, Method, Pré de Provence bar soap.
There are literally public ChatGPT conversations data sets. For the past 2 years it's been common practice for pretty much all open source models to train on them. Ask just about any open source model who they are and a lot of the time they'll say they're ChatGPT. Why is "having obtained o1 generated data" suddenly such a huge news, to the point of warranting conspiracy theories about undisclosed/undiscovered breaches at OpenAI? Nobody ever made a fuss about public ChatGPT data sets until now. No hacking of OpenAI is needed to obtain ChatGPT data.
Maybe not $10 unless they are loss-leading to dominance. Well they actually could very well do exactly that... Hm, yea, good points. I would expect at least an order or two of magnitude higher to prevent an inferno.

Lets be fair though. Replicating TSMC isn't something that could happen quickly. Then again, who knows how far along they already are...
Then we just have to fund research by giving grants to universities and research teams. Oh wait a sec: That's already what pretty much every government in the world is doing anyway!
Can't wait for gpt gov to hallucinate my PII!
"Cry me a river" is a phrase I haven't heard recently, for some reason ...
$3.4K is about what you might pay a magic circle lawyer for an opinion on a matter. Not saying o3 is an efficient use of resources, just saying that it’s not outlandish that a sufficiently good AI could be worth that kind of money.