skysight-inc/HackerNews huggingface dataset:
You write the 'add item' event regardless, and when building the 'cart' view you handle the limit.
Good idea - I've updated the comparisons with Imagen3 and DALL-E 3. I also cherry picked the best result from each GenAI system out of a max of 12 generations.
AI China Syndrome?
Lets play cluedo. How about a cremation janitor without any formal education trying to sell exotic meat as a side hustle ?
Tangential: I haven't used a smartwatch ever. Do they have any utility in the gym? I would like to not carry around my phone in there.
You can doubt me all you want, but it works. (I've been boarding for more than 30 years, you'll usually find me on the double-blacks)

Obviously can't start them on a slope with moguls, but it needs to be a steeper slope that forces learning how to use the edges.

The slope rating is different between resorts. A blue at Arapahoe Basin is likely a blue-black at most others which is why I made that distinction.

Once they learn to properly use their edge, and commit to using it, they will progress quite rapidly.

After that, it's just about fitness and the risks that you're willing to take.
> The horror of packet switching is all the buffering it needs, since it doesn’t guarantee circuits.

You don't actually need all that much buffering.

Buffer bloat is actually a big problem with conventional TCP. See eg https://news.ycombinator.com/item?id=14298576
Is R1-Zero more than optimized textbook learning/distillation? I'll check out the paper.

I covered the Jamaica disparity by "unless you think there's something fundamentally different about the Chinese". In the case of people from some parts of the world being faster runners there is something different about them genetically, that translates directly into superior athletic performance. Is that the case for Americans vs Chinese? I don't know but haven't seen much evidence of it. The gaps are probably more due to culture and government i.e. artificial and quickly fixable, if they want to.
But why? As a reply to the sanctions? You try to hamstring us, we'll burst your state protected NVDA?
How many tokens/s do you get on a 3090? With the extra tokens for the internal monologue, is it still performant enough for smooth VSCode integration?
BangleJs is totally hackable
any python libraries that offer any sort of real performance, is written in C
That was during Hu's tenure which was quite different than what it is today. Still, their natural impulse is to cover up facts.
German demand soars for Russian LNG via European ports
One day does not a pattern make. Just bought some nvidia stock.

Guess we shall see how it pans out…
Kenosha, Wisconsin.
I am with you on the same boat that this better be versioned and reproducible and standardised.

my key concern whether tools to build project have to be in the same pool as project itself (that may or may not use tools to build/edit/maintain/debug it).
My problem is kinda related. Bike with studded tires during winter, have no issues. But more than once I've fell when dismounting the bike, as I've forgotten that it's actually slippery. (and my biking shoes are slippery even on a good day)

But this headline is good. Can perhaps use this to avoid people not using spikes due to a sense of pride. "I've walked all my life here in Norway without!".
Reads like a Disney lens on nature. Whether or not wolves have a single alpha in a pack, nature is built around selfishness and violence with certainty, cooperation selectively. Animals watch each other suffer and die without a flinch all the time. And nearly everything dies from being eaten. Any lens on nature that sugar-coats this is projecting human values.
IMHO it happens as long as you can find use cases that were previously unfeasible due cost or availability constraints.

At some point the thing no longer brings any benefits because other costs or limitations overtake. for example, even faster broadband is no longer that big of a deal because your experience on most websites is now limited by their servers ability to process your request. However maybe in the future the costs and speeds will be so amazing that all the user devices will become thin clients and no one will care about their devices processing power, therefore one more increase in demand can happen.
That actually looks very useful. Thanks.
I guess you are one of the lucky ones who writes everything correctly the first time around.

I tend to move around parens quite a lot while developing, constantly refactoring, so some kind of structural editing was necessary for me from the get-go.
If you have poor impulse control then you are more likely to be involved in crime as well as having intense, chaotic personal relationships. Both are correlated with homicide.
I am extremely grateful so far for their work and contributions, nut they are right. China is leading the way despite all the hurdles put by the chip act.
https://www.youtube.com/watch?v=FVbEoZXhCrM
> You can train, or at least run, llms on intel and less powerful chips

The claimed training breakthrough is an optimization targeting NVidia chip, not something that reduces NVidia's relative advantage. Even if it is easily generalizable to other vendors hardware, it doesn't reduce NVidia's advantage over other vendors, it just proportionately scales down the training requirements for a model of a given capacity. Which, maybe, very short term reduces demands from the big existing incumbents, but it also increases the number of players for which investing in GPUs for model training at all is worthwhile, increasing aggregate demand.
we are never really dead
Show HN: Sportify Kids, exchange calories for screentime
Just showcasing this app by Martin Varsavsky, more info in the link and in the app listing.
BangleJS
Maybe by having copyright law we have allowed the authorship of books to flourish and critical mass to drive down the costs of books and allowed people to dedicate themselves to writing books as a profession, or made giving up weekends on a passion project worth completing. Maybe the world you want is less literate/less thought provoking because people can't feed themselves on 'your work is free' resulting in less being written because people who would have been authors are no longer rewarded.

All I know is society decided that copyright was worth the tradeoff of having people release their works and now huge corporations want to change the rules so that they can use those works to creative a derivative that the corporation can profit from.
> selfishness and violence

Are human emotions, please don't anthropomorphise.
I don't think Google understands hardware given its lack of success in it.
Offline Resturant Menu using QR V40 at maximum size
Its Gulf of America, the continent, not USA. Gulf of USA would be silly.

Anyway, the silly part here is that USA calls themselves America, while Mexico and Canada are just as American.
so where does it stop? let's include version of OS on laptop of people who edit code? it is getting ridiculous.

you got to draw a line somewhere.

in my opinion, "if dependency code is not linked nor compiled-into nor copied as a source (e.g. model weights, or other artefacts) then it must not be included into dependency tree of project source code"

that still means, you are free to track versions/hashes/etc. of tools and their dependencies. just do it separately.
You don't use it for that sort of thing.

But if you did you'd need an aggregatable (commutative) rule.

Like you can't aggregate P99 metrics. (To see why, it is similar to why you can't aggregate P50. You can't because a median of a bunch of medians is not the total median)

So you measure number of requests of latency < 100ms and number of requests. Both of these aggregate nicely. Divide one by the other. Now you get Pxx for 100ms. So if your P99 target was 100ms you set your 100ms target to 99%.

Anyway you'd need something like this for your shopping cart. It is probably doable as a top 10 (and anything else gets abandoned). Top 10 is aggregatable. You just need an order. Could be added to cart time or price.
You’re not the only one. It’s not as impressive at coding compared to O1 as people make it out to be and it’s explicitly spelled out in DeepSeek’s R1 paper that they had trouble with improving over DeepSeek-V3:

> Software Engineering Tasks: Due to the long evaluation times, which impact the efficiency of the RL process, large-scale RL has not been applied extensively in software engineering tasks. As a result, DeepSeek-R1 has not demonstrated a huge improvement over DeepSeek-V3 on software engineering benchmarks. Future versions will address this by implementing rejection sampling on software engineering data or incorporating asynchronous evaluations during the RL process to improve efficiency. (last bullet point of page 16, which is the last page of the paper before the bibliography - hmm…) [1]

It does even worse on my real world coding problems than the benchmarks would suggest. Some of my tests: write a Qt QAbstractListModel in C++ that parses markdown into block using a C/C++ MD parsing library, write Rust cxx-qt bindings for QTextDocument (all docs included in context), write a window switching script for Wayland with an alternative to wmctrl, etc. I also asked it some geochemistry questions that I had trialed O1 with previously, and the reasoning had a lot hallucinations. The answers were suboptimal to say the least.

Having access to the thought process in <think></think> tags is cool but it just reveals how underdeveloped the actual reasoning is compared to whatever o1 is doing. I’ve had it get stuck on silly things like whether a C++ library for markdown exists because I underspecified that I’m okay with header only C libs. O1 has faired much better on my qualitative test suite - even more so when using it via API with a “high” reasoning_effort.

With all of the hype over the last few days, it feels like I’m taking crazy pills (loving all the action though).

[1] https://arxiv.org/abs/2501.12948
It makes sense to some extent when the toolchain can tap into native language specific constructs when you need that REPL-like iteration loop to be tight and fast. But that kind of thing is probably only required in a small subset of the kind of tooling that gets implemented.

The tradeoff with this approach is that you lose any sort of agnosticism when you drop into the language specific tooling. So now if you work at a corporation and have to deal with multiple toolchains every engineer now needs to learn and work with new build tooling X times for each supported language. This always happens to some extent - there’s always going to be some things that use the language’s specific task runner constructs - but keeping that minimal is usually a good idea in this scenario.

Your complaint feels to me that it is about poorly implemented CI systems that heavily leverage container based workflows (of which there are many in the wild). If implemented properly with caching, really the main overhead you are paying in these types of setups is the virtualization overhead (on macs) and the cold start time for the engine. For most people and in most cases neither will make a significant difference in the wall clock time of their loop, comparatively.
funny thing is they prob had a position to make bank off that. smart.
Apparently he can for a short period, yes, according to MSM.
It would also cost companies a fraction of what Slack costs. And there's a thriving bot community for Discord as well

I worked at a startup where our single biggest cost was the Slack bill. It's crazy to me what companies will go through to "seem professional"
Show HN: I made a document file translator that supports multiple formats
Hey, I'm Tik, an independent developer residing in Bangkok.

I'm amazed by how modern LLMs are breaking language barriers in media, culture and business.

I've been looking for a tool to translate foreign documents that will keep the structure and provide correct translations, but couldn't find it, so I built one!
uhhh are you sure you won't get a trademark dispute?
> possible the goal is to get them to "have a brilliant idea" and invest in some American production

TSMC built a massive plant in Arizona. It's been hitting rocks, from frustration over "rigorous working conditions," e.g. people being "called into work for emergencies in the middle of the night," to differences in manufacturing cultures, e.g. "employees were expected to pitch in with work outside their job descriptions because construction of the facility was behind schedule" which "did not sit well with everyone" [1].

[1] https://www.nytimes.com/2024/08/08/business/tsmc-phoenix-ari...
> Sure, if you stop after "nobody's vocal coords make noises above 4khz in normal conversation"

Huh? What? That's not even remotely true.

If you read your comment out loud, the very first sound you'd make would have almost all of its energy concentrated between 4 and 10 kHz.

Human vocal cords constantly hit up to around 10 kHz, though auditory distinctiveness is more concentrated below 4 kHz. It is unevenly distributed though, with sounds like 
 and <sh> being (infamously) severely degraded by a 4 kHz cut-off.
> It's unfair and generally bad for everyone involved.

The solution is simple - don't hop on Google's new products (there's a risk with the older ones as well, albeit smaller). It's just not worth it to invest your money and time with such a significant risk of it getting killed (and its general half-assedness). There are usually alternatives.
> Python is only a thin veneer over those backends.

There is an interesting writeup by dvyukov that shows the potential cost of "thin veneers" :) https://github.com/dvyukov/perf-load
Four things that matter to me in a podcast app

- Privacy

- OPML support

- Ability to import from Apple Podcast

- Dark theme
`go.mod` contains the dependency list and minimum version required

`go.sum` is a lock file for the exact versions to use (ensures reproducibility)

`go mod graph` will produce the dependency graph with resolved versions

`go list -deps ./...` will give you all packages used by a module or directory, depending on the args you provide

`go get -u ./...` will update all dependencies to their latest version

Here is a post about Go toolchain reproducibility and verification: https://go.dev/blog/rebuild

You are being downvoted for being wrong and talking about downvoting, which is called out as something not to do in the posting & commenting guidelines
how is this open vs whatdeepseek did?
Thanks! I have the Bypass Paywalls extension so i forgot bloomberg even had paywalls

https://github.com/bpc-clone/bypass-paywalls-firefox-clean
Minor correction: it's a beholder, not a basilisk. Look them up, they're adorable.
> DeepSeek is still a big model that requires a lot of resources to run

I can run the largest model at 4 tokens per second on a 64GB card. Smaller models are _faster_ than Phi-4.

I've just switched to it for my local inference.
Well he’s president now so these outlandish ideas are now official policy. Who would have predicted this ten years ago?
Not sure why this is downvoted. But then somewhat not surprised given the hardware level on HN.
Trump to Tariff Chips Made in Taiwan, Targeting TSMC
Neither of those are emotions.

Selfishness is the default setting, and is easy to explain in evolutionary terms. Unselfishness is what usually surprises us when we see it in animals.
https://github.com/bpc-clone/bypass-paywalls-firefox-clean
From that article:

> The release of DeepSeek-R1 is an amazing boon for the community, but they didn’t release everything—although the model weights are open, the datasets and code used to train the model are not.

> The goal of Open-R1 is to build these last missing pieces so that the whole research and industry community can build similar or better models using these recipes and datasets.
> how does this not result in a total collapse of the US economy?

In the long term, it does. It's crazy to read a history of tariffs and conclude that raising tariffs on everyone, everthing and everywhere doesn't hurt you. But in the short term, that demand must be sated, and that disruption creates opportunities.

> How could destroying our ability to source the most advanced hardware

It won't. Taiwan depends on us. They'll cave and we'll get a short-term win. What it also does is create a strategic imperative for Taiwan to balance its dependence on America. Those chickens, unfortunately, won't come home to roost for years.
Rats always look at their king.
I've been using deepseek for a while, I never paid for chat gpt or any other services.

The fact that r1 is now free and unlimited VS chat gpt 200$ a month subscription is impressive enough for me. If the development cost is anywhere close to what they advertise publicly it's even more impressive

It's as good or better than chat gpt free, gemini free, &c. and that's all I care about
Does anyone know about literature or courses regarding building machine learning cluster infrastructure? I am mainly interested in building and scaling up the storage infrastructure, networking and scheduling approaches.
Microspikes and Nanospikes are products from Kathoola. I own both and have used them for running in Iceland so I can definitely recommend them.
Citation needed. Such a vast generalization seems obviously false.

I don't even think the concept of violence makes sense when the being causing it has sufficient cognition.
DeepSeek offers for free/extremely cheap, a very expensive to provide service, requiring huge server infrastructure, to a userbase that probably grew by 3+ orders of magnitude in the last week.

There's no way they weren't going to be forced to throttle user signups, "cyberattack" or not.
The article reads as if OP had a conclusion in mind and tried to justify it using the current narrative.

Chinese markets are competitive and cut throat on pricing in the consumer market. They have less government regulation aside from the media restrictions.

I don’t understand how this is communism vs capitalism. The current top chinese models are all released by private companies such as deepseek by a hedge fund who pivoted after government put restrictions on crypto trading.
Two things I've noted with the redesign (I hope it's ok to share it here):

* I couldn't find the random button. But, I used the old site to find the correct URL. [0]

* The random URL on the old site is broken. [1]

[0]: https://marginalia-search.com/explore/random

[1]: https://old-search.marginalia.nu/explore/random
I wonder how necessary these mass culls actually are. The "one chicken tests positive -> kill a million chickens" response is strongly reminiscent of the foot-and-mouth culls that wrecked British agriculture around the turn of the millennium. I read a lot of papers from that time at the start of COVID because it was Neil Ferguson's epidemiologists at Imperial who drove those culls and who were driving lockdowns.

What came through clearly in the retrospectives is that actual farmers and vets thought the approach was madness. It was far too aggressive and traditional approaches to managing animal disease were viewed as working fine for far lower cost. The mass culls became government policy not because of any clear improvement in outcomes - in fact there was strong evidence they had no effect - but because civil servants were highly impressed by professors and mathematics of all kinds, and they were empowered by draconian agricultural health laws to do pretty much whatever they wanted without requiring robust justifications.

Problems included:

• By the time the cull was underway numbers were already in decline.

• In one area of the UK the local government didn't have the resources to organize a cull so it just didn't happen, yet the case curve looked the same there as elsewhere.

• According to vets the models that were driving the culls implemented simulations of a "wholly theoretical armageddon virus" [1] that bore no resemblance to the actual foot-and-mouth pathogen. For example they assumed that animals don't have immune systems and so once infected an animal would continue to be infectious forever until culled.

• Models were built on garbage-tier datasets, with problems like farms having coordinates in the middle of the sea.

• A sample of FaM was collected and stored at a government lab, which due to budgetary incompetence then leaked through a rusting drain and escaped into the wild again. This time the government left it alone, perhaps out of embarrassment at having been the cause, and farmers were able to quickly suppress the second outbreak using their own choice of traditional methods.

The idea that you have to kill a million chickens in response to a single case seems unlikely to be a solution arrived at by farmers themselves. Maybe it is, but it sounds a lot like the kind of runaway response that in the past was invented by civil servants and academics who might well have never even been on a farm.

I wrote a literature review of the FaM epidemic back in 2020. One of the most striking aspects of academic epidemiology is that they never learn any lessons by cultural design, so it's unlikely anything has changed:

https://blog.plan99.net/is-epidemiology-useful-a4ec54e59569

[1] https://www.researchgate.net/publication/51683518_Destructiv...
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And not that expensive :(
"...once it is updated in the U.S. Geographic Names System".
Commerce is different than capital.
It's not an optimization targeting Nvidia chips. It's an optimization of the technique through and through regardless of chip

But your point is well taken and perhaps both mine and GP's metaphors break down.

Either way, we saw massive spikes in demand for Nvidia when crypto mining became huge followed by a massive drop when we hit the crypto winter. We saw another massive spike when LLMs blew up and this may just be the analogous drop in demand for LLMs
Hold on... China is not capitalist too?

Is American not a bit communist too? E.g. funded research.
I think the system has been carefully configured to benefit wealthy people and/or established asset owners. But the reason that there is no effective resistance to that is because identifying generalist socioeconomic experts is practically impossible.
> wonder if the US government will next ask ASML holding to also open plants inside the continental USA

ASML's supply chain is critically linked to U.S. suppliers. (EUV was jointly developed between Americans and Europeans.)
Alternatively "invalid cart" could itself become an event.
Exciting to see this being reproduced, loving the hyper-fast movement in open source!

This is exactly why it is not “US vs China”, the battle is between heavily-capitalized Silicon Valley companies versus open source.

Every believer in this tech owes DeepSeek some gratitude, but even they stand on shoulders of giants in the form of everyone else who pushed the frontier forward and chose to publish, rather than exploit, what they learned.
Ellison has operations in Montana, and helped the current Governor in his early business career by buying a startup he was part of, as well as one of the Montana Senate seats. Montana is completely red republican now. There is abundant hydro electricity, and growing solar/wind market. Geothermal and Nuclear are coming. The real problem is latency, network connectivity. Prior to Covid, attracting talent to Montana was hard as well. Now everyone wants to live here.