skysight-inc/HackerNews huggingface dataset:
I have no idea how this got through management.

The localizers went too far, converting the language keywords to somewhat appropriate language-specific versions.

I guess once they shipped a version with the keywords translated, they decided to was too expensive to fix/go back and limped along with this major footgun.
What I meant was that in America the Gov't doesn't get to dictate the actions and policies of private sector companies, whereas in Communist China their Gov't absolutely does control the private sector, and has it's tentacles deep into every important industry.

Regarding letting AIs train on copyrighted material, which is a separate issue, I do think that will and should remain legal. For example if an AI can learn to paint in the style of Picasso, that's a skill, not a theft. Same is true of an AI that can learn to write "in the style of" Hemingway, for example.
I’ve never heard that RTOSs are the future in general. With that said, there are a lot of great RTOS options out there today.

1) PREEMPT_RT recently brought realtime capability to mainline Linux[0].

2) Amazon open sourced the safety-certified ThreadX[1].

[0] https://en.m.wikipedia.org/wiki/PREEMPT_RT

[1] https://en.m.wikipedia.org/wiki/ThreadX
I think training demand is what you might predict would plummet.

Inference demand might increase but you could easily believe that there’s substantial inelasticity currently.
Nvidia has gotten lucky repeatedly. The GPUs were great for PC gaming and they were the top dog. The crypto boom was such an unexpected win for them partly because Intel killed off their competition by acquiring it. Then the AI boom is also a direct result of Intel killing off their competition but the acquisition is too far removed to credit it to that event.

Unlike the crypto boom though, two factors make me think the AI thing was bound to go away quickly.

Unlike crypto there is no mathematical lower bound for computation, and if you see technology's history we can tell the models are going to get better/smaller/faster overtime reducing our reliance on the GPU.

Crypto was fringe but AI is fundamental to every software stack and every company. There is way too much money in this to just let Nvidia take it all. One way or another the reliance on it will be reduced
I never used a smart watch before. Can you share some examples quirks with other watches?
Sounds like a Garmin Forerunner (255? 265?) with a custom watch face might fit the bill.
What still has value when intellectual/knowledge work becomes free?

1) Land

2) Natural Resources

3) Energy

4) Weapons

5) Physical/in-person Labour

That means that, unless there are big societal changes, you better have at least a few of those available to you. A huge percentage of Americans own no land nor investments in durable assets. That means at best, they are thrown into a suddenly way-oversupplied physical labour market in order to make a living.

At the geopolitical level, a country like the United States, with so much of its current wealth tied to amorphous things like IP, the petro dollar, and general stability, certainly has all 5 of the above categories covered. However, there's a lot of vulnerable perceived value in the stock market and housing market which might vanish if the world is hit with a sudden devaluation of labour. Even if the US is theoretically poised to capitalize off of AGI, a sudden collapse of the middle class and therefore the housing market and therefore the entire financial sector might ruin that.

UBI is the bare minimum I can imagine preventing total societal collapse. Countries with existent strong safety nets or fully socialist systems might have a big advantage in surviving this. I certainly feel a certain sense of comfort living in Quebec, where although many aspects of government are broken, I can at least count on a robust and cheap hydroelectric-supplied grid and reasonable social safety nets. Between AI and climate change, I feel like there are worse places to be this century.
This was actually the year I was born. Also very auspicious if you're Chinese. I'd be the most asian white supremacist north of Tila Tequila if this was actually a coded Neo Nazi user handle.

(Also, don't look up Tila Tequila Nazi's you won't like what you find)
>To me that sounds like a commercial success

It isn't because it's not making them any money. Having users doesn't mean you have a business. If you sell two dollars for one dollar having more users is not a blessing financially. Of course you could slap ads on it, like Google, but unlike Google openAI has no moat and there's already ten competitors. Competition eliminates profit and AI is being commoditized faster than pretty much anything else.
Yes, those are called multi-agent systems https://langchain-ai.github.io/langgraphjs/concepts/multi_ag...

there's also other approaches like swarms, etc

basically the same thing going on recursively with a singular -agent- having multiple -sub-skills- it can summon at will, the first prompt is an llm iterating over what tools to use given inputs, which can either reply with text, use a tool to get more context, or pass the message to another -agent-

so basically yeah most complex systems are multi-agentic in nature but maintain only one personality/tone in the frontend so it's less noticeable from a ux point of view.

Chatgpt for example, o1 is agent (does a thinking step)

also now models like r1 implementend it directly onto the streaming

there's also interesting stuff on continous thought research where the internal monlogue remains as tokens and not outputed, but still useful for the agents to -think step by step-

what is -an -agent- is a greqt question, simonwillson has compiled hundreds of answer people give along the way
No, ChatGPT o1 only shows you the summary. The real thought process is hidden. However, DeepSeek shows you the full thought process.
X Debt Shopped with $6B Sweetener from Elon Musk's AI Bet
"Turn off Clippy"
"I'm sorry Dave, I can't let you do that."
That articles says females do the hunting and getting food for the male while males only handle territory.

That’s equivalent to the male on the couch watching TV with a shotgun on his lap defending his territory and the females going hunting (aka kitchen) to make the husband a sandwich.

Joking aside the males are the leaders. How do I know? They kill the kids on arrival and the females can’t do fuck shit.
There were many models of Pebble. The original definitely had epaper[0].

[0] https://www.kickstarter.com/projects/getpebble/pebble-e-pape...
Multi Boxing LLMs
The New Yorker has really gone downhill in the last 10 years...
Yeah, that is plainly not “no tracking”. Developers are not entitled to the events that occur on devices that belong to me unless they obtain my permission for such surveillance first.

I will never understand why developers believe that they are entitled to information from devices that they do not own.
That gets an instant unsubscribe from me.

Sometimes it even works...
90% of the comments in this thread make it clear that knowing about technology does not in any way qualify someone to think correctly about markets and equity valuations.
This just seems like a very bold statement to make in the first two years of LLMs. There are so many workflows where they are either not yet embedded at all, or only involved in a limited capacity. It doesn’t take much imagination to see the areas for growth. And that’s before even considering the growth in adoption. I think it’s a safe bet that LLM usage will proliferate in terms of both number of users, and number of inferences per user. And I wouldn’t be surprised if that growth is exponential on both those dimensions.
When the USA doesn’t stand you can go to China for the banking.
I feel like SoftBank investing in Stargate should have been the number one red flag
My hunch is that DeepSeek is lying about creating their AI using just a few outdated chips and a $6mn budget. And when I heard DeepSeek was providing basically free and unlimited AI inference services that also made me think it's gotta be funded by their Gov't (China), because no private sector company can afford that.
https://archive.is/OdRkp
The thing is that when someone has to work hard to seem Alpha they are instead revealing their insecurity--the need to compensate to hide vulnerability.

Some people play into that game, others see through it.
For some public companies retail share holders also have to be groveled to.

I don't have an overall point here other than that power isn't as simple as some people want it to be. You command a ship until there's a mutiny. There are hierarchies, but that's only one way of slicing things. It's more about a set of several feedback loops that nobody explicitly understands.
https://archive.ph/1VVqY
Your mom. Jk. The central bank. Chairman of the fed.
it's this really

unintentionally? they're making the name more accurate
I’m not misrepresenting the argument because you are not a member of the crowd I was talking about.

There are people here who literally argue “it isn’t censorship because a private company did it”. Here’s a random example of a recent such comment: https://news.ycombinator.com/item?id=42787234 - other examples: https://news.ycombinator.com/item?id=42664998 https://news.ycombinator.com/item?id=41385109

There are really three separate issues:

(a) can something a private entity decides to do, without any government pressure to do it, count as “censorship”?-this is a definitional question

(b) is such private censorship illegal (in whatever jurisdiction)?-this is a factual question of what the law actually is

(c) should such private censorship be illegal (in whatever circumstances)?-this is a public policy question of what the law ought to be

You are talking about (b), whereas I was talking about (a)
No More Linux Mobile
Agreed. Didn't expect the results he got.
Original title: “How Google Maps Plans to Handle the ‘Gulf of America’”

HN’s clickbait algorithm mangled this, but in this case, I think the original title is more accurate.
I really enjoyed this article and how reminded me of the first time I hiked in snow without crampons. I had to use fallen spruce branches to steady myself with each step on the way down. It was like walking on little brooms. It did the job well enough for a southern California native.
I actually loved Clippy, but I was a teenager. I think for people who were trying to get stuff done instead of playing around with a word processor, it's as annoying as those onboarding tutorials.
I have a lot of experience working with the Garmin API. The data you can see on the recording device (watch) is limited and basically worthless. Akin to looking at a raw csv full of data rather than nicely plotted over a map.
You’re right. Antarctic penguins and walruses are good examples of this. Penguin females go hunting, while the males hatch eggs and rear the young till the females return. Walrus males, OTOH, absolutely dominate other walrus males, and keep a harem of females.

But who cares? Humans are more closely related to primates than other animals, who exhibit all kinds of different behaviors across species. I am not sure why we’re trying to model human behaviors from wolves at all.

In fact, human advanced cognitive development is unique amongst the entirety of the animal kingdom, so it’s okay if humans have behaviors which are unique just to us, and are unobserved in other animals.
> "A better "thank you" to Google would be to direct people to Fitbit."

Fitbit has already gone off to the great Google graveyard, unfortunately.
Yeah, these days it's basically the opposite: since a computer making a decision means we (in the C-suite) can't be held accountable, ALL decisions should be made by computer..
Yes, unless you're using persistent workers. Then you may very well run into the same issues they mention.
Ask HN: Confused about how DeepSeek hurts Nvidia
I’m genuinely confused about why people think Deepseeks results will mean fewer GPUs being needed in the future. DeepSeek won’t be top dog forever. At some point, all their big competitors will figure out how they created their model, copy the approach, and get the same efficiencies. After that, why wouldn’t every competitor add more compute to go beyond DeepSeek’s capabilities and each other? Is there some experimental evidence out there that having 10X or 100X the compute DeepSeek used for training wouldn’t result in a much more advanced model?
Wait, so AI might become 25x cheaper to train and run, and your thesis is... no one will make money on AI now?!?!
Huge shrug to that. Show me the evidence of the scale of it. 10%? 90%? There's an aspect of this reasoning that delegitimizes real protest movements, of which there are 'a lot', and of course there's a long history of 'a lot' of foreign geopolitical actors (including the US) of agitating actual grass-roots movements, muddying the waters even further.
Even the "Language Models are Unsupervised Multitask Learners" paper was pretty open; I'd say even more open than the R1 paper.
> Stick to your contract hours. If your contract says 40 hours, work 40 hours—no more, no less. Protect your personal time and well-being

If you want to be mediocre and/or don't care to get promoted sure?
Some of the criticism of Clippy is that it just stares at you while you're trying to do work. Cortana doesn't stare at least.
Wonder if someone used "qubes" as a way to work around a ban on "pubes" and the filter thought it was porn?
I like the idea of their products, but I just wish Unihertz wasn't so sketchy -- they refuse to release any kernel sources. (Which is in direct violation of the GPL!)
This article is talking about intelligence agencies which none of those you listed are. I don't know if you didn't read it or just want to point out any 3 letter agencies to be technically correct.
which company is this? what are their products? anyone got the link?
> Aren't millions or even tens of millions students using ChatGPT for example? To me that sounds like a commercial success

I read somewhere that OpenAI brought in $3.7 billion in 2024, and made a loss of $6 billion. So... no I don't think that is an example. They want to make a commercially successful product, but ChatGPT doesn't seem to be there yet.

> And enterprise-wise - heard recently a VP complaining about entering expenses. As we don't have secretaries anymore in the civilized world, that means "Agents AI" is going to have a blast.

We don't have secretaries because the word became unfashionable. They are called PAs or executive assistants or something like that now. They're still there, but if anything the need for them has probably been reduced with (non-AI) computers (calendars, contacts, emails, electronic documents, etc.) so I'm not sure that there is some enormous unmet demand for them.
>unlike Google openAI has no moat

what was Google moat?

>and there's already ten potential competitors. Competition eliminates profit and AI is being commoditized faster than pretty much anything else.

we're discussing NVDA. Where are its competitors? ChatGPT having 10 competitors only makes things better for NVDA.

>Competition eliminates profit

Competition weeds out bad/ineffective performers which is great. History of our industry is littered with competition taking out bad performers, and our industry is only better for that. Fast commoditization of AI is just great and fits the best patterns like say PC-revolution (and like it i think the AI-revolution wouldn't be just one app/user-case, it will be a tectonic shift instead).
If work can be done with fewer GPUs then people will use less. This is what leading to Nvidia fall.
The discrediting is of the inevitability of its all-encompassing effects. It can be present without needing to be defended or prevent the Alpha from caring for its young.
What these guys are on about: https://arxiv.org/abs/2301.10743
haha, I was thinking something along those lines as I was typing the prior msg! "oh, machine algo, not our fault. we'll try to fix it in the future" >_>
Alphas are just leaders. Whether they have vulnerabilities is orthogonal to the fact that they control and lead the pack. Whether it’s through force or pay.

Do you have a good boss that you like who’s a good person? He’s an alpha. You’re a beta if you’re under him. Do you have a boss who’s an ass hole who got pegged and raped by his uncle when he was a kid and now he’s taking all that pent up humiliation on you? Yeah he has a big vulnerability. But. He. Is. Still. An. Alpha.

It’s not a game. Games are for friend groups and kids. I’m talking about the economic engine that builds civilization itself. That engine is made up of a hierarchy of alphas and betas.
> it turns out the gold isn’t actually gold. It’s bronze.

The gold is still gold. We just thought it was 10,000 feet down, which requires lots of shovels, when it was actually just under the surface.
Maybe! We're all just speculating about the degree of accuracy here. I messaged them on Mastodon to see if they will clarify the text. Will post back if I hear from them.
Whole Foods Workers in Philadelphia Vote to Form Chain's First Union
> China clearly isn't even close to 4x the productivity of the USA

What makes you think innovation/productivity/performance scales linearly with population?

China has roughly 500x the population of Jamaica; should they have 500x as many sprinting gold medals?

> has been doing the usual thing Chinese firms focus on of rapidly driving down the cost of tech already proven out by companies elsewhere

R1-Zero is actually new and interesting approach to building reasoning capability, that R1 is built on. Worth reading the paper.
Perhaps they mean there's less wealth to be extracted from the closed-source training side of the equation, which requires huge capital investment, and promises even bigger returns by gatekeeping the technology.
Flame retardant treatment requirement for cotton was discontinued in 1996.

Sorry, it's clear we are talking past each other. You have a great week.
https://archive.is/Svzfz Paywall schmaywall
Git Vulnerabilities Led to Credentials Exposure
You just redefined alpha as a person with money.

I would argue that the wealthy which hold loans based on stock collateral are holding debt and not credit. US banking laws are just hiding the fact. So a number of rich people you define as alpha are not really alpha because of debt vs credit imbalance.

This means the person spending money while going through Disney World are alpha.
I get quite a few of those
Of course it’s not simple. But alphas and betas are intrinsic to society and that’s my point.

You will see that society converges towards alphas. There have been attempts to make everything egalitarian but it doesn’t last and alphas pop up everywhere. Heck you can’t even make a purely voting society where society votes on everything. Instead everyone votes for an alpha. Aka trump.
Looks outdated by now. Try R1.

Seriously, I've been using LLMs for coding for a while and can say early experience was disappointing, but they get better and better fast. The latest o1 looks a lot better than 4o. It's reasonable to expect with proper human supervision and interface they will be able to handle big files and projects in a year or two. Interesting times...
I think it's unsurprising that the company that coined "Move fast and break things" was fine using Stream.
> DeepSeek is also open source so it won't take long to see what this architecture could do on high end cards

As far as I can see, the training code isn't open source. It's open weights.
As a ~900 Elo player, I feel like point #3 is doing the heavy lifting here—kinda reminds me of that "rest of the owl" meme (not that you're wrong, of course!) :-P
Of course C easily allows you to directly write SIMD routines via intrinsic instructions or inline assembly:

```

generic
type T is private;
Aligned : Bool := True;
function Inverse_Sqrt_T (V : T) return T;
function Inverse_Sqrt_T (V : T) return T is
Result : aliased T;
THREE : constant Real := 3.0;
NEGATIVE_HALF : constant Real := -0.5;
VMOVPS : constant String := (if Aligned then "vmovaps" else "vmovups");
begin
Asm (Clobber => "xmm0, xmm1, xmm2, xmm3, memory",
Inputs => (Ptr'Asm_Input ("r", Result'Address),
Ptr'Asm_Input ("r", V'Address),
Ptr'Asm_Input ("r", THREE'Address),
Ptr'Asm_Input ("r", NEGATIVE_HALF'Address)),
Template => VMOVPS & " (%1), %%xmm0 " & E & -- xmm0 ← V
" vrsqrtps %%xmm0, %%xmm1 " & E & -- xmm1 ← Reciprocal sqrt of xmm0
" vmulps %%xmm1, %%xmm1, %%xmm2 " & E & -- xmm2 ← xmm1 \* xmm1
" vbroadcastss (%2), %%xmm3 " & E & -- xmm3 ← NEGATIVE_HALF
" vfmsub231ps %%xmm2, %%xmm0, %%xmm3 " & E & -- xmm3 ← (V - xmm2) \* NEGATIVE_HALF
" vbroadcastss (%3), %%xmm0 " & E & -- xmm0 ← THREE
" vmulps %%xmm0, %%xmm1, %%xmm0 " & E & -- xmm0 ← THREE \* xmm1
" vmulps %%xmm3, %%xmm0, %%xmm0 " & E & -- xmm0 ← xmm3 \* xmm0
VMOVPS & " %%xmm0, (%0) "); -- Result ← xmm0
return Result;
end;

function Inverse_Sqrt is new Inverse_Sqrt_T (Vector_2D, Aligned => False);
function Inverse_Sqrt is new Inverse_Sqrt_T (Vector_3D, Aligned => False);
function Inverse_Sqrt is new Inverse_Sqrt_T (Vector_4D);

```

```C

vector_3d vector_inverse_sqrt(const vector_3d\* v) {
...
vector_4d vector_inverse_sqrt(const vector_4d\* v) {
vector_4d out;
static const float THREE = 3.0f; // 0x40400000
static const float NEGATIVE_HALF = -0.5f; // 0xbf000000

__asm__ (
// Load the input vector into xmm0
"vmovaps (%1), %%xmm0\n\t"
"vrsqrtps %%xmm0, %%xmm1\n\t"
"vmulps %%xmm1, %%xmm1, %%xmm2\n\t"
"vbroadcastss (%2), %%xmm3\n\t"
"vfmsub231ps %%xmm2, %%xmm0, %%xmm3\n\t"
"vbroadcastss (%3), %%xmm0\n\t"
"vmulps %%xmm0, %%xmm1, %%xmm0\n\t"
"vmulps %%xmm3, %%xmm0, %%xmm0\n\t"
"vmovups %%xmm0, (%0)\n\t" // Output operand
:
: "r" (&out), "r" (v), "r" (&THREE), "r" (&NEGATIVE_HALF) // Input operands
: "xmm0", "xmm1", "xmm2", "memory" // Clobbered registers
);

return out;

}
```
> VoLTE is 5G

Technically, on 5G you have "VoNR"[0], where VoLTE is over 4G.

[0] https://en.wikipedia.org/wiki/Voice_over_NR
> DeepSeek won’t be top dog forever.

I agree with this in the sense that no model will be top dog forever. However, it's important to note their contributions to open source. They're raising the bottom bar, and that is important.
I'm pretty sure we're entering the year of the Linux desktop :)
IIRC based on my experience open sourcing some code for a paper, I think you just need to get VP approval, which is probably not that hard if you are a well respected L6/7 in your org.
Yes, a global market of 5 big LLM (ChatGTP, Llama, Claude, Mistral, Qwen ... any other big ones?) is not exactly good for Nvidia.

If every well funded start-up can have a shot, then they buy more GPUs and the big players will need to buy even more to stay noticeably ahead.
And if that was the intended purpose, would you prefer a reality where they don’t release it at all? This benefits a lot more consumers of AI, and that’s a good thing IMO. If OpenAI and other AI companies become less valuable, then i am more than eager to live with that
Yep honestly I got so tired of wading through marketing emails that I built a (free) email digest service for updates / changelogs from SaaS tools.

https://getchangelog.com
* Scroll of HP (use these only after exhausting other ways to level up)

* Treasure chest (beware of mimics) containing the above or XP directly

* Walls cost a random amount of HP (despite registering as 0 for adjacent counts) but grant a random amount of XP. I suspect that getting a good score requires getting lucky and hitting a low-HP high-XP wall early, to stretch your score just a little bit further

* There's a gnome(?) that costs 0 HP but gives 10 XP

* Once you find the scroll of anti-mine, you get a lot of XP from picking up the leftover mines

But yes, many games are unwinnable.
I recall a headline from (checks notes) 2014. Linux users are extremists according to the NSA (http://www.linuxjournal.com/content/nsa-linux-journal-extrem...).

I imagine something about that caused certain lists to be populated in certain ways, and no linux user cares enough about Facebook to help them correct the problem.