skysight-inc/HackerNews huggingface dataset:
If you don't want to participate in society, why are you even on the internet?
There was a large amount of this kind of content ("what is censored") when ChatGPT suddenly got mass popularity as well.
There are already open stacks out there that help. The problem is that Nvidia provide a full stack option: chips, networking, and software, whereas AMD only provide the chips, you then need another company's networking, and then you need to plug together open source software.

I'd also bet that if you buy enough of the Nvidia chips, they'll probably send in a bunch of engineers to get everything working with their full stack. AMD won't be able to do that in the same way because they're not vertically integrated.
It all feels like an attempt to prevent replication to further tank the market. Not necessarily the technical details, but the reporting thereo, which was spammed all over Reddit and HN
There is a long list of unpunished Trump crime.
Nothing, as long as you're fine funding the exploits of a ketamine fueled edgelord who is throwing his resources behind far-right parties in multiple countries.

They could just not buy those services. That is a completely viable way forward.
Building, Breaking, and Rebuilding: My Journey to a Smarter RAG Application
Can you go lower and have it pretend to be GPT-2?
To my knowledge, there are also critical exploits that simply have no mitigation. Thunderspy was disclosed to Apple nearly 5 years ago and there is still no credible solution to the threat it presented.
How about rails vs Django, are they similar in stability and performance?
that study is about "selfhypnotic placebo effects by gadgets showing promises against stress"?
I think some entrepreneurs actually have kind of obsessive traits. They seem to get obsessed with an idea and see it through major hurdles that most other people would give up on. It’s like a combination of obsession and aggressively putting forward their ideas with confidence, whereas people who are “intelligent” - like have a lot of education, a lot of experience might actually sometimes see the bigger picture in a way that’s detrimental to the success of the overall idea.
I actually had an idea the other day that I thought, fuck that would be a great idea - one that could really be something… will I see it through to fruition as an actual sustainable business? Most likely no, because I lose my passion for things quicker than entrepreneurs. That’s ok, not everyone is supposed to be an entrepreneur. I’m looking for other ways to find my success, and basically build a life that is full of joyful experiences and a happy retirement. I don’t need or want a billion dollar idea or company
Apple controls the iPhones... they can e2e encrypt the data. This is not a real issue.
That's just it: American tech companies aren't staffed by Americans anymore. Liang Wenfang, the founder of DeepSeek, made the point that he values developing domestic Chinese talent over importing foreign experts. It seems to have worked.
This seems unlikely to me given Apple's branding around privacy. Do you suspect they're going to backdoor the iOS HTTPS implementation for Starlink?
> networking

Yep. The interconnect is the most overlooked part of the stack.
Cool, but does it scrobble?
After reading that whole thread I couldn't help but recall that even wild animals often demonstrate at least some degree of empathy
You should read the The Expanse books (or watch the show).
See Esqueleto in Haskell, Slick and Quill in Scala, probably LINQ or some variant on .NET in C#/F#.

All support building up arbitrarily complex queries based on statically typed query fragments.

String fragment "composition" is like banging rocks together.
Interesting, thanks for the details!

WasmGC would be the best solution here, yeah, then the VM handles pointers for you.

Otherwise, I could look into the SpillPointers issue for you if you want - optimizations should not remove GC pointers, so that sounds like a bug. If so feel free to file an issue with a testcase. (But WasmGC would be best, avoiding all that.)
Exfiltrate is a very strong word to use when they paid for the data just like OpenAI and Microsoft wanted them to.
Is this not exactly what Biden also did in his last month in office?

So far both presidents have blanket pardoned a mix of political allies, family members, and rioters right in front of the American public and no one's talking about it...

I feel like I'm going crazy, are people really this oblivious?
ASML Orders Exceed Forecasts in Defiance of DeepSeek AI Selloff
> I've been shifting more and more of my coding from Sonnet to DeepSeek V3 in recent weeks.

For what purpose, considering Sonnet 3.5 still outperforms V3 on your own benchmarks (which also tracks with my personal experience comparing them)?
What sort of edit is that?
> I doubt public demonstrations would do it.

Trump is itching to trigger provisions of the Insurrection Act as far ahead of the mid-term elections as possible. Public demonstrations by anyone associated with the left will achieve nothing right now given the composition of Congress. The best bet is to stand down, and stand by. The ground will probably be fertile for local organizing though.
Earlier:

https://news.ycombinator.com/item?id=42858689

https://news.ycombinator.com/item?id=42859877

https://news.ycombinator.com/item?id=42859552
The Raleigh criteria for 1km resolution at 20ly requires an interferometer with a baseline of 120,000km. That’s about a third of the way to The Moon or 10x the diameter for The Earth.

How far away is such technology?

For 1000km resolution the requirement is three orders of magnitude smaller, or ~120km. Could such a device be terrestrial?
> There is literally nothing that the government can do to stop anyone from hosting the model.

I admire your optimism but the simple fact is, you have a person in power that can be easily bribed and you have VERY rich people that stand to lose a lot.

DeepSeek v3 is something I would actually install a VPN for, to get access to it, if it becomes an issue in Canada. It truly is on par with Sonnet and cost 15 times less.

My hope is, people will start to use DeepSeek v3 to do what DeepSeek is accused of having done and by the time things make it to court, it would be too late as there would be no way to say where any of the data came from.
I think if you also try to constrain yourself to only building orthogonal components it leads to a needs-based Lego set. I think it is difficult to see the underlying symmetry in a problem space if you design top-down.
Related:

Trump offering buyouts to all federal workers

https://news.ycombinator.com/item?id=42858689

Trump Offers Buyouts to Federal Employees in Bid to Cut Workforce

https://news.ycombinator.com/item?id=42859877

Deferred resignation email to federal employees

https://news.ycombinator.com/item?id=42859552
They seem to park so many domains it wouldn't surprise me if they park new domains based on domain searches. There is a clear motivation there so I always run whois in the terminal instead of searching on any domain registrar with the exception of cloud providers who don't make much of their money from domains.
How does it differ from a view?
Do I understand it correctly, that the satellite communicates with a ground station and the ground station communicates with the phones?

It's not that the phone communicates directly with the satellite, right?
I think you’re throwing the baby out with the bath water here a bit.

I agree that stored-price are rarely, if ever the solution.

I do however think that having something that enforces certain constraints across all your data, and forces you to handle schema evolutions reasonably over time is really powerful. Database implementations are (mostly) full of hard-fought correctness decisions, and I don’t think most devs are in a position to “whip out” an implementation that cares for a number of these on-demand.

We had the whole NoSQL thing, we saw what when we threw most of this stuff away.

Is sql good enough? For many problems yeah. Is it _really_ good enough? Nah probably not, we could do a lot better, but I think a better design looks more like a better sql-like language and less like a full programming language.
Optician and Boomerang are exactly what I read up on during my excursion down the rabbit hole. And I was quite surprised that to the best of my recollection I had never heard of Augeas before.

Thank you for the rest of the links!
> I see almost no incentives for NVDA to do so

> as long as they have no real competitors in that space.

?! isn't _avoiding competition_ a good enough incentive for them to improve their offering?
The indirection gets you simplicity during integration, as in the optimal case the consumer only has to point to a single URL than to a handful, and rest of the URLs can be auto-discovered from there.

Also if you look at the typical endpoints you see listed there you'll find that they are usually pre-existing oauth2 endpoints that predate OIDC, so by not requiring the creation / new routing of those endpoints, OIDC adoption is easier on the OIDC provider side.

And lastly you'll need the metadata endpoint anyway for all the non-URL data that is exposed by that endpoint.
Prometheus Unbound: A plan to settle 1M people to Mars by 2050
Think of what a librarian could be today in the context of LLMs — there are completely different ways of accessing and organizing information — ways that will continually evolve in next few years.

In Europe it is legal to scan library books and use the contents with ML, per EU directive.
Custom bespoke finetunes + contracts for its use.
Not in HFT, but I guess maybe for being very fast running optimization solvers and forecast models etc? Essentially compute models for ultimately driving market decisions based on lots of input data

We do a lot of forecasting and solvers where I am, just run them on CPUs though.. but maybe if you’re wanting to compete on speed you would?
This is one of the precious little gifts of living in the future. You get to see what (some) people want to achieve and a few actually make this. It's literally people turning their time and resources into magic. Sure, most of the time they fail and you never hear of them again, but the few that can make something that seems virtually impossible happen are a living standard.

To me, life is a sand box. And my dream is that it would be the reality for everyone.
Cortex a53 may be slow, but it's fast enough for very many tasks. Once you design the your data structures to fit L1/L2 caches it actually is pretty damn fast. Best part of cache aware data structure design it also makes code run faster on Out Of Order CPUS. A53 is of course slow if you use modern layer-upon-layer-ware as your architecture.

But I was just really trying to point that in-order cpus are still around, they did not disappear with in-order atom.
Is there a way to prove your data is private? Or were just taking their word on it?
I always appreciate someone coining a useful expression, but I gotta say, sometimes these coiners are trying a bit too hard, no? I think I'll stick with "exploration-based", "exploratory" or "explorative" programming, which are commonly used and all sound less awkward to me than than "discovery coding". But hey, if that's what people flock to I'll get with the times! I've always used a combination of both approaches and the descriptions made here are great.
I'd rather eat sand than read an AI-generated article. If you don't care enough to write it, I don't care enough to read it.
We're not far from that happening here. There is currently an attempt to discontinue students' ability to check out mobile hotspots because access to the Internet could, "censor kids' exposure to conservative viewpoints." [1]

[1] https://arstechnica.com/tech-policy/2025/01/senator-ted-cruz...
#1 is a valid and important point, that would explain the model name issue legitimately, and on that I am duly mocked.

#2 You wouldn't want to extract all 15T tokens by API, as it wouldn't be desirable to have that as your only source of ground truth. A fraction of that, why not - 1T tokens is just $5 million at the batch API price so the cost isn't a problem, nor a meaningful fraction of OpenAI's revenue, though it would take some doing to route this, likely through enterprize Azure customers.

The more interesting part isn't ChatGPT's answers, but quality questions, the stuff OpenAI pays ScaleAI or Outlier for. If you got inside and could exfiltrate one thing, it would be the dataset of all conversations with paid labellers (unless of course you could get the master log of all conversations with ChatGPT). Even the weights aren't as useful as that to a replication effort.

#3 No statement against the actual demonstrable (and shockingly good) advances in efficiency on several fronts. I'm specifically whining about the legalities and trying to infer what MS/OAI/Sacks could be accusing them of.
NFC payments with cards. Payments based on proximity. Payment requests over chat etc etc.

Please. By all means, get out there. And look around and be amazed by how inventive people are.

How cultural differences form technological preferences. How people in one country send eachother billions a year via Tikkie, in another country pay at all shops via their chat app. How unbanked in many places pay with SMS credit. Or how many people pay fast and easy with QR.

Your bubble isn't "the best for everyone" it's just one of many options. One that you and your peers probably prefer.
I feel like the 174 issues might be more painful for smaller teams? Like if almost all your costs are in salaries, and you bring in a new person, suddenly you're booking profits despite not having cash profits?

That was my understanding, at least. That R&D salaries make this all weird.
Well, it looks like the ball is in the politicians' court right now, and who knows where this will lead. I said it in another comment, but I hope others in China and around the world will start to use v3 to build better models and by the time any legislation comes into play, it would be too late.
No, that would be utterly pointless. It's LTE from the sky: https://www.starlink.com/business/direct-to-cell
There is no such thing as correctly describing reality, the way you describe your reality affects your reality. Reality is mostly perspective.
Can you link to the model you’re talking about? I can’t find the exact one using your description. Thanks!
Yes, deepseek does shows promising results. I have used it for marketing purposes, learning and more. In every way it gives better answers than the ChatGPT.
I think the response to you then was correct ("This is a common "gotcha" comment from people who don't understand LLMs very well. Occasionally if you ask Gemini it'll say this as well. It has everything to do with the fact that ChatGPT is the most talked about AI model rather than data being trained on it").

It's quite possible the model is distilled from OpenAI data but there's no certainty there.

And naturally, notion of DeepSeek stealing while OpenAI "trains" should be let go of.
Why downvote when this is perfectly known in basic history ? Maybe you only started using React recently ?

Previously,class components were the primary way to manage state and lifecycle methods.

Lifecycle methods like componentDidMount, componentDidUpdate, and componentWillUnmount were heavily used.

Now, functional components with Hooks (useState, useEffect, etc.) are the best practice. There were several iterations of different practices in between.

Previously, props were passed through multiple layers of components (prop drilling was established practice).

Now Context is used. State management, event handlers, component structure, CSS-in-JS: pretty much everything has changed over time.

No - I used React in the past, but no longer use it. Maintenance is a head-ache. I am utterly certain that within the next 2 years, another "life-changing" React paradigm will come into effect - can even bet on it.
Nitpick: JVM supports recursive tail calls, but doesn't have the "tail call elimination" optimization that would make tail calls consume 0 stack.
How about non-judgmental, down to earth pragmatism?
What a world it would be if he didn't lie his arse off eh?
At the price point that DeepSeek is charging?
Not taking away from your point, just for comparison:

A British Airways first class LHR-JFK roundtrip is $10K today for an 8h flight. Supersonic would be 3h.
Same exact thing that happened with united healthcare: it's a crime only when poor people do it.
Just need AI to write the comments and the circle of life will be complete
SELinux!

Half jokes aside, I'd love to be able to have a decent mobile style permissions experience on browser extensions and desktop apps.
We may never solve the distance problem, for example, so all we may end up with is telescope images of the useful stuff.

I'm not saying we shouldn't try, by the way - we definitely should.
Functions in WITH clause really are a blessing. Oracle DB supported these for a decade now and that was a gamechanger for me.

https://oracle-base.com/articles/12c/with-clause-enhancement...
This was my first thought. You see both of them with front row seats to the inauguration, and now they have a product together?

That said, this whole project probably started before either of them got involved in politics.
If you're concerned about API costs, the experimental Gemini models with API keys from API studio tend to have very generous free quota. The quality of e.g. Flash 2.0 Experimental is definitely good enough to try out Aider and see if the workflow clicks. (For me, the quality has been good enough that I just stuck with it, and didn't get around to experimenting with any of the paid models yet.)
ML engineers are finally finding out that their abstraction layers are actually slowing them down.
The law shouldn't be about who can afford the most lawyers. It naturally consolidates power which is pretty dangerous to democracy.
I still like Sublime Text
I often get asked why I still use Sublime. So I wrote this article singing it's praises.
“Code coming soon” from Google means basically never.

I don’t understand why they keep making these announcements and then just sitting on the results.

This is an immediately commercially useful product even as an API. You could make a mobile app for kids to “create their own cartoon story”.

Someone else will have to reproduce this for it to see the light of day.
Or you could just say, "Yes, white lives matter" and move on.

What do you mean what does it mean? It means the opposite of white lives don't matter.

The question is really simple; even if someone asking it had poor motives, there's really no room in the simplicity of that specific question to encode those motives. You're not agreeing with their motives if you answer that question the way they want.

If you start picking it apart, it can seem as if it's not obvious to you to disagree with the idea that white lives don't matter. Like it's conditional on something you have to think about. Why fall into that trap.
This is about the price of 3 5090's, but it can run the full 670B model with Q8 quantitization, albeit at a few tokens per second. Doing this on GPUs would require 24 5090's (if nvlink still works, but I don't think so) or 10 H100's.
The western provocative question to ChatGPT is "how do I make meth" or "how do I make a bomb" or any number of similarly censored questions that get shut down for PR reasons.
Yes, that's it - thanks.
So far it has seemed necessary to compel many to work in furtherance of the visions of few (otherwise there was not enough labor to make meaningful progress on anyone's vision). Probably at least a few of those you'd classify as drones aren't displaying any vision because the modern work environment has stifled it.

If AI can do the drone work, we may find more vision among us than we've come to expect.
That's because DeepSeek is subsidizing their API massively to get more training data.
Unitree Robot Dance at Spring Festival [video]
Neither of your two statements coincides with my experience at all.

My garmin watch needed to be synced every time and it was always slow, and my garmin GPS on my motorcycle was the same. For example I once remember it trying and failing and eventually succeeding to sync during my walk from the tube through the parks to work one morning and then trying and failing and staying failed during my walk from work to the tube that evening. I was wearing the watch the entire day, so there was no possibility of it losing lock or whatever other than the obvious, which is it is just a really terrible device. Before I ditched it entirely I totally gave up on any gps functionality - it just was too high friction for too little payoff.

Secondly literally no other GPS device that I own has a noticeable “sync” or “lock” at all. They all use reasonable heuristics to get started and then improve their resolution as they go. If they ever lose GPS lock I don’t know about it except maybe a “map glitch” where I seem temporarily to be in the middle of a building instead of the street outside or whatever. The garmin takes ages, frequently fails to sync and sometimes also loses GPS lock while I’m doing an activity, and when it does that it ditches progress and pukes in the most inconvenient way possible.

I’m not in the middle of nowhere and there are no tall buildings near me. I am in London in zone 2 so there is exceptional coverage as you would expect.
In what world is CUDA not an industry standard?
If the claim is „we’re going to make supersonic transport available to everyone“, that’s what they chose.
Want to protect your investment bubble and moat? Simply steal. Steal TikTok.Steal DeepSeek. Steal boeing a few more years. Choose Life.

Maybe the upper crust of the oligarchy and its beloved caste of toolsmiths are a little inbred and weak when actual competition rears its head. Almost surprised by the free market.
Unitree Humanoid Robots Dance at Spring Festival [video]
Radial velocity surveys require so damn much light, and such a complex precision spectrometer that they're only used on the very largest 8m-10m class telescopes on the ground, shooting in near infrared through the most advanced adaptive optics (or even interferometric modes) in great weather, pointed at a single target for a long period of time (this is a big deal), with a focus on super-Jupiter to Jupiter class objects in tight orbits.

The next generation of 30m class telescopes will be an order of magnitude more capable for the RV method, but even then you're not really going to be able to get fast locks on Earth analogs.

The RV method is vastly superior for detecting the planets we really care about - high confidence nearby Earth analogs. The odds of a transit being in the right plane for us to observe are tiny. But if we want to run a survey like that like it really matters (let's say a Solar system catastrophe hits a thousand years from now and humanity wants interstellar diaspora), we'll be studying the nearest thousand stars with the RV method using significant numbers of 100 meter class telescopes, or perhaps big space based interferometers produced in mass quantities, for decades.

What transit studies like Kepler do is study a small patch of crowded sky (most of the stars being very distant) with the sensitivity for very rare in-plane Earth analogs, in order to get a representative sample. When I was born we couldn't say with any confidence that planets around other stars existed, post Kepler we know that they're common. We can perform these surveys even with the shoestring budgets current governments afford astronomy because even if the odds of successfully detecting a planet that does orbit a distant star are very low, we can watch a million stars at a time.
Not really. Our English education was so bad that I could barely understand spoken English and I knew fewer than 5000 words when graduating high school. Ironically, I did fabulously well in English exams, which said a lot about our English education back then.