skysight-inc/HackerNews huggingface dataset:
It's not just in the US. Here's someone in Germany it is happening to [1].

Some reports on the Samsung forums [2][3].

Many are mentioning their TV is a 2017 model. Mine is too, and I just noticed the problem today.

[1] https://www.reddit.com/r/samsung/comments/1i8l553/samsung_tv...

[2] https://eu.community.samsung.com/t5/tv/voice-command-transla...

[3] https://us.community.samsung.com/t5/LED-and-OLED-TVs/Voice-c...
It was an LCD[0] but you are right that they marketed it as "epaper". But it certainly was not people normally think of as epaper where there are colored capsules that can hold their image without power. The Pebble just had an LCD that looked visually similar to epaper.

[0] https://en.wikipedia.org/wiki/Pebble_(watch)#Hardware
'Sputnik moment': $1T wiped off US stocks after Chinese firm unveils AI chatbot
That's what happens when you don't have to play by the rules of reality. Googles monopoly allows them to act like this. It's unfair and generally bad for everyone involved. Thankfully it seems that that era is finally going to end
Paying somebody else to read the book means you don't get the benefit of the book.

Also, this is exactly what you company is doing, paying you to "read the book" so they don't have to.
Glad to finally see Ashu Garg's writings on HN.
The colloquial usage is leaders. Not people with insecurities.
Trump now controls the NSA and FBI – What this means for your privacy
I don't know if they could do a try/fallback or if one is available as a setting (I haven't looked), but apparently they don't by default; Scryer Prolog:

?- X = '.'(1,'.'(2,'.'(3,[]))).
X = [1,2,3].

SWI Prolog 9:

?- X = '.'(1,'.'(2,'.'(3,[]))).
ERROR: Type error: `dict' expected, found `3' (an integer)
I have worn my Pebbles (yes, I have several) every day since I bought the first one at initial launch. Right now I have 3 Pebble Time's going (2 black, one gold). All I want is the Pebble Time 2 that they were so close to launching. It had the very few upgrades I wanted (larger screen, healty monitoring). That's ALL I need and I will be a very very happy man. I'll even buy several just to support the cause.
It's not just a "negative view on overtime", there are also very strict laws around the amount of overtime, how much rest you need between workdays and compensation.
Related:

Egg prices are soaring. Don’t expect that to change anytime soon - https://news.ycombinator.com/item?id=42848742 - Jan 2025
Well, I guess ‘window tearing’ doesn’t mean what I thought it did — or rather that it’s more than I thought. I always thought that it meant the artifact when dragging a changing window, which of course doesn’t happen if one doesn’t drag.

I don’t believe that I’ve ever noticed or been bothered by static tearing, but maybe I’m just used to it because I’m old and displays have always had it?
We also try some new things such as https://note.slax.com and https://r.slax.com
Useful quantum computing is inevitable–and increasingly imminent
Because you don’t have people skills!

https://youtube.com/watch?v=hNuu9CpdjIo
Isn't this one of the main technological plot lines of Star Trek: Discovery?

Oh wait, my mistake. That's a universe teeming with networks of interconnected fungi.

You can see how easy it would be to make the mistake though, right?
I wonder if it'd be better to allow a local copy of the page to be saved and used without error - would also lower your bandwith usage.
Indeed. Their 2FA manages to hit the sweet spot of being incredibly laggy, never remembering me, and maximally insecure.

> I no longer use it and can't suggest other folks do.

Same. I was lured in by their interest rate bonuses a couple years ago, but they're no longer offering anything that isn't beat by WealthSimple and others.
The system that Bismarck established in the 19th century "only works for a single generation" - sure.
You could even say that overconfidence in abilities and knowledge outside of core expertise is the critical flaw of today's entire tech industry.
Over the long run maybe, but for the next 2 years the market will struggle to find a use for all this possible extra gpus. There is no real consumer demand for AI products and lots of backlash whenever implemented eg: that Coca Cola ad. It's going to be a big hit to demand in the short to medium term as the hyperscalers cut back/reasses.
Test-Time Compute: The Next Frontier in AI Scaling
- "I really don't understand the market thinks Nvidia is losing its value."

because the less GPU need to train, the less money to be made

- "If DeepSeek reduce the required computational resources, we can pour more computational resources to improve it further. There's nothing bad about more resources."

thats why you are not hedgefund manager, these guys job is to ensure that the HYPETRAIN for company to buy as many nvidia gpu to sell no matter what, if we can produce comparable model without using B (as it stands billions of dollar), it means there are less billions of dollar to be made and the HYPETRAIN is near the end
A colloquial usage is leaders.

Another common colloquial usage is total self obsessed wanker.
That is how E-Waste is made
I think the point was not that we won't still use a lot of hardware, it's that it won't necessarily always be Nvidia. Nvidia got lucky when both crypto and AI arrived because it had the best available ready-made thing to do the job, but it's not like it's the best possible thing. Crypto eventually got its ASICs that made GPUs uncompetitive after all.
The Modern Novel: The world-wide literary novel from early 20th Century onwards
I mean, Google is incentivized here to reduce friction on advertisers instead of protecting losses they wouldn't even incur from a malicious ad

in other words, a malicious ad doesn't do much for them but actively increasing security is bad. yay capitalism
I like the idea of learning a single “Kubernetis”
One might argue that very high margins could be a bad sign. If you assume that Apple is efficient at being Apple, then there is not a whole lot of room for someone else to undercut them at similar cost of goods sold. But there is a lot of room to undercut Nvidia with similar COGS — Nvidia is doing well because it’s difficult to compete for various reasons, not that it’s expensive to compete.
They're picking the US as an example because the person who started this discussion was saying that the European model is in their view unsustainable. It's possible that that person wants to change Europe into Singapore or something, but given this site, I consider it much more likely that they meant "unsustainable compared to the US".
Ill tell you my secret about how I made infinite money! Just sign up for my course!!
Honestly, you'd be shocked at how much gaming you can get done on the integrated gpus that are just shoved in these days. Sure, you won't be playing the most graphically demanding things, but think of platforms like the Switch, or games like Stardew. You can easily go without a dedicated GPU and still have a plethora of games.

And as for AI, there's probably so much room for improvement on the software side that it will probably be the case that the smarter, more performant AIs will not necessarily have to be on the top of the line hardware.
because that's what history shows us. back in the 90s, MPEG-1/2 took dedicated hardware expansion cards to handle the encoding because software was just too damn slow. eventually, CPUs caught up, and dedicated instructions were added to the CPU to make software encoding multiple times faster than real-time. Then, H.264 came along and CPUs were slow for encoding again. Special instructions were added to the CPU again, and software encoding is multiple times faster again. We're now at H.265 and 8K video where encoding is slow on CPU. Can you guess what the next step will be?

Not all software is written badly where it becomes bloatware. Some people still squeeze everything they can, admittedly, the numbers are becoming smaller. Just like the quote, "why would I spend money to optimize Windows when hardware keeps improving" does seem to be group think now. If only more people gave a shit about their code vs meeting some bonus accomplishment
Generally speaking, Scott Aaronson has been really fun to listen to on variety of topics. I would suggest listening a few recent podcast he appeared on youtube. He has this really nice combination of no-bullshit and rigorous attitude.
That matches my experience, and it doesn't help that the RFCs, in trying to explain it, have declared defeat early on.
This is a distilled version, not the actual 671B model.
This is a very not HN comment
I think it's entirely possible that one categorically can't think correctly about markets and equity valuations since they are vibes-based. Post hoc, sure, but not ahead of time.
Markets aren't rational.

NVidia is currently a hype stock which means LOTS of speculation, probably with lots of leverage. So, the people who have made large gains and/or are leveraged are highly incentivized to panic sell on any PERCEIVED bad news. It doesn't even matter if the bad news will materially impact sales. What matters is how the other gamblers will react to the news and getting in front of them.

:)
only if deepseek-r1 has achieved 100% AGI and the marginal benefit of more compute decreases, otherwise there is no reason to use less compute.
that is only for conduction, convection - the air mass flowing over the surface area is also a variable in thermal transfer
Find a small fediverse server on the topics. Lots of niche corners to explore

https://fediverse.party/en/portal/servers/
> Unlike crypto there is no mathematical lower bound for computation

this is what I feel, but is there any scientific proof on that?
Great to hear, looking forward to seeing those come out :)...
I stopped wishing this or even asking for this. Never happens. Framework laptop did the same. And by the time they launch there are usually much better and much affordable options.

I guess the legalities and logistics against the possible sale
ares just not worth it.
Credit card companies averaged over 22,000 transactions per second in 2023 without ever having to raise the fee. How many is crypto even capable of processing? Processing without the fee going up? What fraud protection guarantees are offered to the parties of crypto transactions?
Americans need to understand that the Chinese are not obsessed with the US. They don't have a saboteur mindset. They want development not because they want US to fail and China to win. It's really sad to look at US state of affairs right now. It used to have a mindset if abundance. It definitely doesn't right now.
Those arent NAND chips. Those are proprietary PCIE SSDs packaged in BGA chip form.
This is a great and well-constructed game but the difficulty scaling is almost comically bad, like, incredibly frustrating. I would recommend adding a tutorial level and some easier difficulty settings. Then the game would at least have the appearance that it is winnable.

Edit: Final score 195 in about a thousand tries. It was the catchy soundtrack that kept me going.
Bytes are not strictly ASCII. Even within the realm of ASCII, if you have a binary with strings terminated in 0x00, those aren't generally called "NUL-terminated strings".
I'll back you up here. While i don't do a lot of baking, I've done enough over my life to get a feel for what the ingredients do. I adjust enough that I think most folks would describe it as "not following the recipe".

I will often reduce sugar, add things (cocoa, nuts and so on). As an example if you add cocoa you need to add fluid to compensate. More butter (or oil) leads to a "wetter" crumb and so on.

It takes more experience than regular cooking to do this though, and th feedback cycle is slower.
Can you share an example of what you're referring to?
https://www.iasociety.org/ias-statement/pepfar-freeze-threat...
Think of the complexity involved, think of having to fix bugs because something went wrong.

Such effort would be better spent preparing npm/node for a future where packages with a lower-bound npm version constraint can be compressed with zstd or similar.

Every feature you add to a program is complexity, you need to really decide if you want it.
If pre 1970, you almost certainly got the smallpox vaccine too. At that time it was still an active problem and working to be actively eradicated.

[https://my.clevelandclinic.org/health/articles/smallpox-vacc...]

As far as I can tell, German measles vaccine doesn’t cause a scar anymore than MMR (it’s a sub component).
Actually kinda to the contrary BT is extremely back-supporting. It adds/removes features so slow that it’s too boring. That’s why I left my BT expertise at the start of my career and moved to app development (it was a mistake in the hindsight but that’s another story).
This case looks okay. It's converting a double to an int64_t and then back to double for comparison. It doesn't really suffer from the typical reason why floating point comparison is frowned upon, such as catastrophic cancellation.

I've once optimized a function to be faster, and in a unit test asserted that the old slower version gives exactly the same floating point answer as the new optimized version. It's doable in some cases.
That's the same video I commented on below: https://news.ycombinator.com/item?id=42844967

There's a huge gulf between what is shown in that video and what is needed to replace a human doing that task.
Perfectly willing, yes. I believe in making decisions for the right reasons regardless of the eventual outcome.

I wouldn’t support her putting her retirement savings all on black either, even though she might win plenty.
Yes, the human brain
Would now be a good time to buy into NVDA if you are long on it?
>> It's falling out in America precisely because we don't pay for good talent. So most talent flows into China.

These claims are quite hard to square with the long waits for H1B visas, extremely high salaries in the technology sector and net immigration to the US from China.

I’m not aware of any Americans or Europeans in my network who have gone the other direction to China.

Perhaps you have different data about the demand for tech worker visas in China.
I looked at the backlinks for a website of mine and none of them actually linked to my site, so I was very confused...
Schlossberg's Transition Theory
It was inevitable, someone had to do it and I don't understand the awful fact that the West still lives in a bubble where it thinks that they are the only source of innovation in this world. There's a lot of innovation going on in the rest of the world too.
Reading between the lines, it sounds like there's less of a concern at this time for the profitability of this particular venture, and more of a national interest in making state-of-the-art AI viable on last-gen silicon. The win condition is to render US sanctions strategically toothless; DeepSeek itself one day achieving commercial success would just be gravy.

If that is the game they're playing, I'm all for it. Maybe it's not the result that the sanctions were intended to have, but motivating China to share their research rather than keep it proprietary is certainly a win. Making AI more efficient doesn't reduce the value of compute infrastructure; it means we can generate that much more value from the same hardware.
backend development.
Let's be honest, if their is a global conspiracy to spread disease I think it's to kill off the masses due to AI replacing jobs and lowering the amount of green houses gasses people produce.
AWS’s usual most doesn’t really apply here. AWS is Hotel California — if your business and data is in AWS, the cost of moving any data-intensive portion out of AWS is absurd due to egress fees. But LLM inference is not data-transfer intensive at all — a relatively small number of bytes/tokens go to the model, it does a lot of compute, and a relatively small number of tokens come back. So a business that’s stuck in AWS can cost-effectively outsource their LLM inference to a competitor without any substantial egress fees.

RAG is kind of an exception, but RAG still splits the database part from the inference part, and the inference part is what needs lots of inference-time compute. AWS may still have a strong moat for the compute needed to build an embedding database in the first place.

Simple, cheap, low-compute inference on large amounts of data is another exception, but this use will strongly favor the “cheap” part, which means there may not be as much money in it for AWS. No one is about to do o3-style inference on each of 1M old business records.
practice tactics..don't study openings..
They're going to fire all the real scientists and replace them with kooks who think multivitamins and raw milk can cure serious illnesses.

https://www.supplysidesj.com/supplements/dietary-supplement-...

Blue states might be able to fill in the gap somewhat for they're residents.

I was actually looking to immigrate to a more functional country a few years back, but I couldn't make it happen.
> You believe your llm are alive or not trained by a human.

No, I do not.

I see your point, in fact. As the story goes, "In the days when Sussman was a novice..."
yeah, it's sad though.
It got private relay information
Hangzhou has a population of ~10-12 million.

It's also the headquarters of Alibaba and Geely.
https://arxiv.org/abs/2410.02333
As a non data engineer, this looks awesome and a great initiative. Hopefully this sentiment is shared by professionals
Looks like I'm not getting the double promotion. I guess I'll be getting PIP'd soon.
Not sure - the VGUI code in the Half-Life SDK was a bunch of header files and a .lib file but I'm not sure what actually implemented it. Back in the early 2000s I assume it was either Windows-specific or rendered using DirectX/OpenGL.
You wrote:

They also have no appetite to understand market consolidation being a root cause contributing factor of supply shortages or pricing power (depending on your view on the topic).

The person you responded to talked about oligopolies and their pricing power. If you don’t think that is the problem then why respond with the above? Argue that oligopolies are not the problem. Don’t shift the discussion later on like you did.
I completely agree, LibreOffice feels really complete these days and for the most of my needs it works well. The only concern I have is when I send it to someone who might not be using LibreOffice but say MS 365, is it still going to display what I had built and the way I had intended.
It was added to Half-Life (and not long after to Counter-Strike) in March 2000 or so. Not sure when Steam first launched but I think there was a beta from 2002?
Laughed aloud at this one. Yup, same here.
Purelymail's About page lists one person, and the product is in beta.

MXRoute has years of track record, more than 1 employee, and has good tools like IMAPSync to enable easy duplication of your emails for backup or migration to a different platform.
Again, pervasiveness does not magically make it valid.

Many animals eat feces, that's extremely pervasive. It's an intrinsic part of the ecosystem. It's really hard to overstate how important poop from other animals is. Doesn't mean I should be cooking it for dinner.

Applying any behavior as having any meaning at all to humans, whether it be wolves or lobsters, other than that we should respect it, is complete nonsense.

There are no lessons to learn about how we should structure our workspace or allocate tax dollars by watching how jellyfish or seasnails live, any claim otherwise is merely ideological projection and creative license.
It seems clear in all your replies here that you see ‘alpha’ as a synonym for ‘leader’, and as a somewhat relative term (like, my boss is an alpha to me, and a beta to their boss). Given your definition, of course it’s obvious that it apples to many facets of human society. Leaders and followers are all around us.

But in popular discourse there’s also a sense of ‘alphas’ getting into their position by violence or assholery that I think your definition is missing.

Even in scientific discourse, there is the idea that ‘alphas’ must gain their position by dominance - not by other methods (prestige, age, etc).

People use words in different ways, so in a way your definition is as good as any other, but (as with anything language related) you can’t really insist on it if others think it means something different and you want to have reasonable conversations with them (ironically, insisting on your definition seems like an attempt to assert dominance).

Edit: removed some snark, sorry. But I’ll also add: the article uses the scientific usage I mentioned above: wild real wolf pack ‘leaders’ aren’t ‘alphas’ because they don’t maintain their position by dominating the other wolves.
Understanding Energy Bands in Semiconductors
The market might be right that Nvidia is overvalued, but if so I think only accidentally and not because of this news. Like you said, at least for now I think it's fairly clear that if a company has X resources and finds a way to do the same thing with half, instead of using less they'll just try to do twice as much. This could eventually changed but I don't think AI is anywhere near that point yet.
Ooh yeah, big bonus points if it integrates easily with eg Homeassistant.
"The new watch we’re building basically has the same specs and features as Pebble, though with some fun new stuff as well "

While I don't mind the same feature set, I would sure hope you upgrade the hardware for something to last 5 years. Update the design while keeping the spirit of the original and focus on a user replaceable battery.
TCP/IP is a great example though of something you can get seemingly correct and then be subject to all kinds of failure modes in edge cases you didn’t handle correctly (fragmentation, silly windows, options changing header sizes, etc).
ThreadX was open sourced by Microsoft.
Tech businesses this decade are about building channels and then selling things down that channel. Moat is a bit of an odd analogy today; it's how defensible these channels are.

OpenAI's channel is ChatGPT. Google has well, Google. Microsoft has Windows and Bing. Apple has the iPhone, Mac, Siri.

Sometimes AI is the moat - if Bing has AI and Google does not, people might be using Bing more. Or that's the theory at least. What's scarier for Google is that the channel is Google itself and if people are searching via ChatGPT, then Google might go the way of Stack Overflow.

Smart people also factor in delays in metrics. People often say, "Look, everyone is still using Google! ChatGPT is hype!!!" But when did people stop using Yahoo? Many stopped using Stack Overflow 5 years ago shortly after they fired Monica, but the failure of Stack Overflow is due to the lack of quality answers since then, and yet has been blamed on ChatGPT.

People will stop using Google likely 5 years after the answer are lower quality than on ChatGPT. This happened years back. My default tech search is through Cursor today.

Once Google's moat dries up, everything else has trouble too - Gdrive, Gdocs, Gmail, Gmeet, Gcloud. If MS were to stop doing Windows, they wouldn't be as successful selling MS Office and MS Teams wouldn't have the dominance it has over Slack.

As for OpenAI, ChatGPT is the channel, and they're starting to sell things down that channel. Custom GPTs didn't work. Assistants and their built in RAG is actually pretty good. You can spend a month hiring someone skilled to make a fully custom chatbot. Or use theirs and have one up in a few days. It's more expensive but still less than $100, cheaper than an engineer or the CS people you'd use otherwise.

The magic isn't better AI products, it's products that can be used by a more mainstream market. Excel was one of the best consumer markets out there because it gave everyone low-code capabilities for work. Gmail made it unnecessary to know what POP3 and SMTP are.

tldr: Even if people can get higher quality for cheaper, most aren't going to install Deepseek and Deepseek doesn't have a channel to sell on.
There's a laundry folding section at the end of that isn't cut. Looks reasonably impressive, if your standard is slightly above that of a teenager
What do you think GPUs are? Basically SIMD asics.