skysight-inc/HackerNews huggingface dataset:
You’re making my eye twitch.

The number of projects I’ve done where my notes are the difference between hours of relearning The Way or instant success. Google doesn’t work as some niche issue is blocking the path.

ESP32, Arduino, Home Assistant
And various media server things.
But did it not lead to net less electricity used for lighting?
Relicense the kernel with license that prevents usage for dystopiadistros?
It's been the Gulf of Mexico since the 1600s
> AI today is better than anyone could hope for,

I hope for an AI that can actually reason and doesn't bullshit its users though
Am I the only one not that impressed with Deepseek R1? Its "thinking" seems full of the usual LLM blindsides, and ultimately generating more of it then summarizing doesn't seem to overcome any real limits.

It's like making mortgage backed securities out of bad mortgages, you never really overcome the badness of the underlying loans, no matter how many layers you pile on top

I haven't used or studied DeepSeek R1 (or o1) in exhaustive depth, but I guess I'm just not understanding the level of breathless hype right now.
I’m doing datalake modernization for medium-large enterprise and spent last months in sales calls of MS Fabric vs Snowflake vs Databricks. All fun, but now with the managed Iceberg in AWS (S3 tables) I tend to consider to choose none of them: just plain Iceberg is good enough. Of course someone needs to write and read it; but there are so many good free options already, even build does not feel scary.
So I would go to the short side in Snowflake in medium-long term (looking their current value prop at least). Databricks has maybe more future as it has ML/AI-first approach. In short term we might still start with SF (with its Iceberg features), as the alternative future stack needs to mature and establish a bit.
Valid points, but I am doing exactly that full-time for the past years :) Including compression and quicksort, which are nontrivial uses of SIMD.

The 2x128 is handled by adopting AVX2 semantics for our InterleaveLower/Upper op, and when we want the extra fixup, there is also InterleaveWholeLower.
I agree AVX-512 is awesome, it's my favorite target. Some of its useful ops (compress[store]) are fine to emulate. What idioms did you have in mind that don't translate?
Spot on about PMOVMSKB, that's a pain point. We provide several ops to replace it with more relaxed semantics that are easier to emulate on other platforms, for example AllTrue, CountTrue, AllFalse. (I think DanilaK's NEON VSHRN trick is faster than the one from your first link?)
"Everything which is in any way beautiful is beautiful in itself, and terminates in itself, not having praise as part of itself. \nNeither worse then, nor better, is a thing made by being praised. \n\nI affirm this also of the things which are called beautiful by the vulgar; for example, material things and works of art. \n\nThat which is really beautiful has no need of anything; \nnot more than law, not more than truth, not more than benevolence or modesty.\n\nWhich of these things is beautiful because it is praised, or spoiled by being blamed?\n\nIs such a thing as an emerald made worse than it was, if it is not praised? \nOr gold, ivory, purple, a lyre, a little knife, a flower, a shrub?"
I more meant, if a model is only trained on 100% absolutely positive data concerning a specific subject, including any data that implies certain taboos it must avoid at all costs, the model will embed that strong bias in its learned parameters.
Why didn't the e-paper display make it in the market? It's so much better.

I also maintain an omron device with such an e-paper display to emit error messages. It's night and day
I've only started using LLMs for code recently, and I already tend to mentally translate what I want to something that I imagine is 'more commonly done and well represented in the training data'.

But especially the ability to just see some of the stuff it produces, and now to see its thought process, is incredibly useful to me already. I do have autism and possibly ADD though.
> I don't think it's much of a controversial take to suggest that China is kicking the US's butt in silicon chip production. EE's are one of the primary fields traditionally seeked to work with this.

That will be controversial until mainland China produces modern process chips economically (they can do one or the other so far). Rather Taiwan and South Korea are not the EE powerhouses. China though pays better than Taiwan (a lot of the hardware researchers in my Beijing lab were from Taiwan and Korea).
Model capabilities are not plateauing; in fact, they are improving exponentially. I believe people struggle to grasp how AI works and how it differs from other technologies we invented. Our brains tend to think linearly; that's why we see AI as an "app." With AI (ASI), everything accelerates. There will be no concept of an "app" in ASI world.
Personally I view the tariffs as a threat to get compliance. Its possible the goal is to get them to "have a brilliant idea" and invest in some American production. I don't know why but Asking Nicely never works for anything, why should international trade be any different.
DeepSeek direct competitors[0] are OpenAI's models, Meta's Llama, Anthropic's Claude etc.

NVIDIA isn't even DeepSeek indirect competitor. And no investor/expert in their right mind would compare a software company to a hardware company.

[0] https://api-docs.deepseek.com/news/news250120
The results are likely to be different (aliens won't try to bias the same way original researchers did).
> However, developers hate email

If there’s one thing I hate more than email, it’s not being able to mark an item as unread, and put it in a folder to address it later. Slack is synonym of stress.

The Slack stress compounds with being pinged all the time, on various topics. It transforms a developer role into a manager role.
Yeah, I was really surprised by this. Last year, I reported a number of people, who were trying to scam me (via Messenger messages related to Marketplace listings). Not only did Facebook did not see anything wrong with the accounts and scammy messages, I was flagged for sending useless reports.
Agreed fully.
SG is very small country and yet someone was buying 1/3 of the volume of the US market in Q3.

The DC market in SG has a very low vacancy rate meaning there's very little available space.... i.e. where are all those GPUs going if the market has very little space available?

To play's devils advocate, this could be an Nvidia reporting quirk with all of sales in SE Asia being reported as "Singapore" but even then, the numbers still piqued my interest.
So the day this happened I didn't eat all day which was a weird thing. I don't know just one of those weird coincidences for no reason. Tomorrow I won't eat all day again and see what happens.

Anyway I'm homeless so the not eating all day maybe kinda possibly having something to do with wiping out 600 billion dollars in stock market valuation just on the off chance that it might based on nothing more than wishful thinking?

Nope. Not eating tomorrow. Wonder what will happen.
Scotland yard lieutenant... Has there ever been such a UK police rank?
Can you unpack why you think there'll be defensible moats at the application layer?

(I thought you had this exactly right when I read it, but I kept noodling it while I brushed my teeth and now I'm not so sure llms won't just prove hard to build durable margins at meaningful volume on?)
For me ChatGPT was not that useful for work, the killer app was Cursor. It’ll be similar for other industries, it needs to be integrated directly in core business apps.
I'd wager there is more light today than before LEDs were invented. I'd wager a lot in fact.
Oh, I never noticed it was always in the corner; that really reduces the luck needed, as finding the 11 as soon as you can kill it makes the game a lot easier.
When micropayments fail to annoy sufficiently, just turn them into microsubscriptions! Try 3 days for 30 cents!

-- agree with you rzazeuta!
PRISM, Five Eyes, Lawful Intercept, Stingray/ECHELON wiretapping:

Bipartisan support, completely ethical, and an imperative of national defense. We simply cannot trust our tech companies enough to do the right thing on their own. The guidelines are entirely necessary.

DMA, DSA, conglomerating and regulating international AI businesses:

A liberal ploy, an anti-American conspiracy and incredible hubris. How can we exercise this much power over private businesses that consistently make the right choice? The guidelines are entirely unnecessary.
I was a huge fan of the Pebble. Had an original Kickstarter model and a Pebble Time (well, I still do, but they need battery surgery). Loved the epaper/10-day life design so much more than the Apple Watch.

I'll be first in line for a new generation watch!

Be great if you could get @Pebble onto BlueSky, for those of us who have left Twitter/X.
Learning basic variations of even one opening for white and for black can be extremely useful. There's not much tactics in first moves, but knowing how to set up a solid position will help a lot. Just learn basic stuff, no need to go into the weeds too much. Also the names of the openings are pretty cool
> I’m able to Matrix-upload docs into my brain like Trinity learning to fly a helicopter.

So you're using it like Wikipedia? I find when learning something new (and non coding related) YouTube is infinitely better than an LLM. But then I prefer visual demonstration to tutorial or verbal explanation.
True, but current price isn't based on fundamentals, it's based on hype-value.

nVidia is going to be a very volatile stock for years to come.

I don't see deepseek changing nvidia's short term growth potential though. Efficiencies in training were always inevitable, but more GPU still equals smarter AI....probably.
Ironically, some good 'ol ML may work to classify bots from humans.
Right. And my point is that a “pack” of “alphas” is nonsensical.
We did this style on top of plain MSSQL. Each event would have a SQL table which is the primary storage. Then we have workers that listens to new data in tables and updates projections we needed. (Sometimes DB triggers but mostly async workers.)

The main issue is "listening to new data in a SQL table". I wrote this code to achieve it in MSSQL (perhaps it is somehow built into postgres?): https://github.com/vippsas/mssql-changefeed

In my experience this approach is beautiful; as Martins says, our backend code is mostly stateless and functional these days, why have mutable objects in the DB? And the approach is extremely useful for dry-running business logic etc

But we didn't like the prospect of adopting Kafka wholesale. Having all the data in a SQL DB is extremely convenient for debugging, and since we already used SQL it was a smaller change that was done first where it made most sense and then spread out.

It would be great with more DB features targeting this style. Explicit partition event tables (kafka-in-SQL), and writing a projection simply as a SQL query which is inverted into an async trigger by the DB would be awesome. (MSSQL has indexed views, but it cannot be done online...)

Materialize is the DB I know about in this territory.
> if you are defining alpha to mean "leader"

Could you elaborate what is the meaning of “alpha”? (I sense there is definition, that is being kept secret from me)
> the standard compression level for rpms on redhat distros is zstd level 19

> The only reason to use zstd is because you want fairly good compression, but fast

I would think having fast decompression is desirable, too, especially for rpms on redhat distros, which get decompressed a lot more often than they get compressed, and where the CPUs doing decompression may be a lot slower than the CPUs doing the compression.

And zstd beats xz in decompression times.
Google makes its own hardware, they are vertical integrated .Dont know about Antrophic
I made a masOS quick launcher – OrbitRing Launcher
It's a shame that you can't buy certain things based on where you live, and I empathize - but ultimately the problem is that selling abroad _is_ expensive.

It's not the actual shipping cost: at business rates a small 250g/0.5lb package from the US to India is about $20 with USPS first class (weeks) or $45 with UPS (days.) It's the other costs of selling abroad that are the issue: legal issues, different liabilities, complying with import taxes/other taxes, certifications, etc. The cost of complying with these things is very high and if you haven't sold things internationally you may be surprised exactly how bad things are.

One normal household product I'm making has to comply with a specific private standard in one country by law; just to _read_ the standard is ~$3000. So, if I want to sell in that country, just to read about some of the things I'd have to do costs me $3000. By the time you actually are legal to sell somewhere you can easily spend six figures per country. Add up lawyer hours, certifications, translations and cost of product modifications and you will need a lot of sales to make selling in a new country worth it.
It's really difficult to pick my least favourite part of this article. Could be this;

"But the game is about more than algorithms, according to Marc Barthelemy, a physicist at the Paris-Saclay University in France, with layers of depth arising from the psychological complexity conferred by player strategies.

Now, Barthelmey has taken things one step further..."

At least AI systems can write slop fairly well. Why do I hate this so much? It just feels lazy, underdone, superficial, vaguely nonsensical. The magic of chess has little or nothing todo with the "psychological complexity conferred by player strategies". It has much more to do with aesthetic beauty, and many a great writer has illuminated that. It's utterly unsurprising that you can model the game as nodes interacting in a network graph (I mean essentially that's what it is), and even more unsurprising that the complexity of the interactions is higher in the tense and complicated positions that do indeed often decide the fate of individual games. Note, games not matches. If you can't get even the most basic domain terminology correct, you don't deserve anyone's attention.

I'll probably calm down in an hour or two.
Regarding various comments here preferring email... let me say that I far, far prefer chat (and the instant notifications!). I would prefer Discord, but I'm just glad it's chat.

After saying that, let me share that Railway is incredible and very affordable.
ChatGPT Plus gives me a limited number of o1 calls and o1 doesn't have web access, so I mostly have been using 4o in the last month and supplementing it with DeepSeek in the last week, for when I need advanced reasoning (with web search in DeepSeek as a bonus).

The killer app had better start giving better value, or I'd gladly pay the same amount of DeepSeek for unlimited access if they decided to charge.
It absolutely is true. This Chinese model wiped hundreds of billions in value from the American market, positioned China as a leading innovator, and pivoted the world to using a model with heavy Chinese biases. It's a brilliant masterstroke for the advancement of China on the global stage.
100% agreed. Protip: You can store metadata tags like the location or people in the picture by including them in the filenames of those jpegs, and then search it with a tool like "find".
Dominance != aggression

(South park had interesting episode on that)
> It seems that the vast majority of software I'm hearing about is targeting iOS, Android or embedded systems.

That's because you are mostly interested in those things.

> Is anyone working on a software product that (a) targets a non-mobile, non-server device and (b) is for sale, as opposed to Open-source?

None of that is "opposed to Open-source". Anyway, if you use Windows or macOS, then open your platform's "app store" and take a look at literally any category but "free (as in beer)".

Yes. There is a whole world outside of your bubble.
Show HN: I used DeepSeek to build a CLI setup for Stripe
So I was thinking of a way to test out the DeepSeek chat and see how good it is, and then I stumbled on this gold from Theo. It's his recommendation on how to set up Stripe.

If you've set up Stripe a lot or payment, you'd know how annoying it can be, so his recommendations are pretty good.

Anyway, I decided to build a CLI setup for the Stripe recommendations using DeepSeek.

Here's Theo's recommendation:
https://github.com/t3dotgg/stripe-recommendations

Here's the CLI by DeepSeek:
https://github.com/dantelex/stripe-x

Note: I didn't write any of this code.

I'd love to know what you guys think about how it did.
"knowing about technology" ... filter out the javascript programmers and that leaves about 15% of HN.
Yeah, I'm with you. I'll take email over Slack any day. Especially for something I may need to refer back to in the future.

I had experience from the customer side of this situation, when Segment set up a Slack channel for an integration I was doing a few years ago. Lots of back and forth with their team (that would probably have been better as email), with some good, important stuff about how to work around particular issues.

Then one day, I get a message from a Success Engineer of some description saying that now we're up and running, they're going to "Archive" the channel. No worries. That must mean it'll go read-only, but at least I'll still have access to that good info in there. Better go copy/paste the whole thread somewhere safe though, just in case.

No. "Archive" is Slack for "Destroy Permanently". By the time I got the email, the Slack channel was 404ing. No more record of a conversation having ever taken place.
GraalVM’s native image has been a thing for a while now. This could overcome the daemon issue partially. The daemon does more ofc by as it keeps some state in memory. But at least the binary start time is a solved problem in Java land.
Open-R1: an open reproduction of DeepSeek-R1
This is called a successful small business and something to take great pride in outside of the SV bubble.
I really think discussion platforms like HN need:

1) Remove upvotes/downvotes entirely. It does nothing for discussion except create groupthink and open itself to manipulation by unscrupulous actors.

2) Retain flagging access by long-time contributing accounts, but if you're found to flag something in bad faith, those privileges are revoked.

3) Flagging itself needs to be a public record so we can see exactly which accounts are doing so.
Technically the llama licensing is closed to their main competitors, although it's a short list of companies like google and microsoft.
We invalidate cache for resource-heavy and long-running requests
No. Author: deducting that behavior observed in captive environments was also true in liberty was a mistake.

Author: silicon valley is somewhat of a captive environment so lessons from captivity are not entirely wrong.
That's a great point! Shouldn't be hard to add.
Would this extrapolate to the thousands of lightbulb prototypes it took to arrive at the first working one? Rinse repeat for your preferred innovation.

Resource allocation in this context isn’t at all binary.
Gadgetbridge added support for Garmin watches recently [1]. All data is stored on your Android phone with no internet connectivity required and you can even export the sqlite DB so you own your sensor data. The UI isn't as nice as Garmin's but it does its job.

[1] https://gadgetbridge.org/basics/topics/garmin/
> If training and inference just got 40x more efficient

Did training and inference just get 40x more efficient, or just training? They trained a model with impressive outputs on a limited number of GPUs, but DeepSeek is still a big model that requires a lot of resources to run. Moreover, which costs more, training a model once or using it for inference across a hundred million people multiple times a day for a year? It was always the second one, and doing the training cheaper makes it even more so.

But this implies that we could use those same resources to train even bigger models, right? Except that you then have the same problem. You have a bigger model, maybe it's better, but if you've made inference cost linearly more because of the size and the size is now 40x bigger, you now need that much more compute for inference.
aand I am buried. China CCP is attacking on all vectors.
We must defeat AI, not just trap them! We need a hero who will go into the maze and kill the AI like how Theseus slew the Minotaur!
A minor quibble: It’s Jevons Paradox - the last name of the economist who formulated it is “Jevons”
Thanks! Thanks ! I love my old Peeble Steel... But my battery is old too... I would like to have pieces to repair it ?
Phoenix Peeble !
Which seems pretty self-serving, and at the very least, premature.
As far as I know, they didn't check anything. (And neither have I -- no comment on whether this is an AV true positive or false positive.)

Here's VirusTotal on the tarball (note Chrome blocks its download, for the same reason): https://www.virustotal.com/gui/file/c08e2ba0049307017bf9d8a6...

Nimda was a Windows malware from 2001. It seems unlikely that would be a meaningful attack vector for a compromised privoxy in 2025. But again, I have not investigated it.
Vikings are OG users, WE are also using crampons like vikings :)
It's a gift to everyone if an actually open architecture is usable.

But it's especially a gift to sanctioned regimes, because they can more easily use this architecture for home grown chips that become desirable when mainstream chips are embargoed or under threat of embargo.

Yes, there's still fabrication, but China and Russia have some fabrication going, just not at the latest nodes. Starting from an open standard makes it a lot easier than if they have to clone an architecture/chip or make a whole ecosystem of architecture and software.
But are you not somewhat agreeing with the point that you're implicitly arguing against: "[This isn't a problem] if I [am] only seeing updates from the people I actually know and explicitly connected to on the social graph. The current problem exists because the content is chosen algorithmically."

The size of a total network is irrelevant until you start randomly connecting nodes.
Online photo libraries have gotten much better at matching up people in photos over the last few years. I don't think it's completely crazy to assume that they might one soon be able to figure out something useful about family relations too (e.g. this mystery person was at these 3 known people's weddings, so they're likely another sibling of so-and-so).
I never knew there was an actual term for this, but I knew of the concept in my professional work because this situation often plays out when the government widens roads here in the States. Ostensibly the road widening is intended to lower congestion, but instead it often just causes more people to live there and use it, thereby increasing congestion.

Probably a decent amount of professions have some variation of this, so it probably is accurate to say most people know OF Jevon’s Paradox because it’s pretty easy to dig up examples of it. But probably much fewer know it’s actual name, or even that it has a name
Finished for the day, I guess I'll just check hacker news before I go to bed...

... and now that sleep is off the table, time to research zombies on wikipedia
Unschooling has been around for some 50 years. 0.02%/year is one hell of a slope. It's a fad that will pass just as many other fads pass.
Hacking Mysa cloud-based smart thermostats
Includes the ability to "magically upgrade" low-end Mysa V2 Lite thermostats into more full-featured devices. https://github.com/dlenski/mysotherm?tab=readme-ov-file#magi...