skysight-inc/HackerNews huggingface dataset:
I wonder how Wall Street feel about this. China has a complete blend between finance and tech behind their super-apps, but I don't think that's the case in the US yet.
Pretty sure every vendor uses the kernel. There must be a reason behind none of them exclusively using the APIs.
I get the hype, even if I don’t necessarily agree with it. TLDR: it’s technically impressive in training infrastructure and a geopolitical surprise.

As others commenters said, it compares favorably against American Flagship models in benchmarks. This is geopolitically interesting since the model is Chinese, and subject to trade restrictions and America thinks of itself as the world’s best model builders.

What makes it interesting technically, is the trade restrictions required them to focus on efficiency and reusing old hardware. This made it wildly cheaper to run the training. The They make a ton of very low-level optimizations to make training efficient. This is impressive engineering, and shows how a small amount of effort can free up a nvidia-lock-in. They had to totally bypass a lot of CUDA libraries and drop down even lower to control the GPUs. Nvidia has been capturing a huge fraction of industry wide AI spend, and surely no one wants that. This is, IMO, the actual part to watch. I suspect it’ll drive a new wave of efficiency-focused LLM tools which will also unlock competitors GPUs.

They also had some novel-for-LLMS training techniques but it’s suspected that the big AI companies elsewhere are doing it now too, but not disclosed. (Mostly reinforcement learning).

What I think is hype, meanwhile, is the actual benchmarks. Most models are trained on their competitors output. This is just a reality of the industry. Especially non-flagships being trained against flagships data. DeepSeek was almost certainly trained against OpenAI models, so it makes sense that it would approach the output quality. That’s very different from being capable of outperforming or “taking the lead” or whatever. We’ll need to wait longer and see how the future goes to make that determination. “China” has long had a great history of machine learning tech, so there is no reason to think that it’s structurally impossible for a Chinese organization to be on the leading edge, but it has to happen before we can say it happened.

What is also hype is calling this a “side project” of a financial firm. The firm spun it out as a dedicated company. China cracked down on hedge funds, so the company looked for ways to repurpose the talent and compute infrastructure. This isn’t some side project during lunch breaks for a few bored quants.

PS, thinking models are very different in use-case than normal models. It’s great for tasks with a “right answer” like math problems. Consider a simple example, in calculus, your teacher made you “show your work”, and doing so certainly reduced the likelihood of errors. That’s the purpose of a thinking model, and it excels at similar tasks.
Have to say ... I'm still not a great fan of the new UI, but the QoL settings under the appearance tab do at least make it bearable.
Yes, especially when effect is marginal like in this case.
Weight-loss surgery down 25 percent as anti-obesity drug use soars (2024)
DIY Projects Search Engine
It seems to be mostly from instructables.com, though there are other sources here and there.
A search for 'multimeter lead' lead to much better results than instructables though.
He seems to have mastered the art of being unethical in all the right ways SV investors and incubators like. Many embrace his style of business, others hold their nose, not enough reject.
I agree that american politics are in a league of their own, as they end up affecting a lot of people outside of the US. (I'm Canadian, so it's especially true for me!). I think the issue is more about frequency. Like, I get that some events are very relevant (elections, foreign policy, etc). But stuff like federal grants or whatever is... hard to understand without context!

Again, I totally get if this was news about civil rights, abortion, or whatever but I just don't see what most people outside of the US can make of information or articles like this.

I wouldn't mind an article that summarised or explained the first 10 days of the trump administration or something like that, but there's been a lot of posts like these recently.
I think it's sad that's all.

I don't think weed and caffeine are equivalent. One is a downer and the other a stimulant. You might get jitters with too much caffeine but that's not the same as being baked productivity wise. Sure you don't have to be productive 24/7 but chances are if you're lit at 7am, you're not being productive even when you sober up, and you'll just keep smoking.

In regards to "functional potheads", I've met a few in my life and without exception they greatly overstate their ability to function. Almost all addicts claim they're functional. Plus it can lead to psychological effects.

I think you should be able to put most things in your body. But I can still have an opinion whether it's good for you or society if people engage in this behavior. Not everything I think is bad should have a law against it.
Keep in mind the distilled versions are NOT shrunken versions of deepseek-r1 their just finetunes of Qwen and Llama i believe, and they are no where near as good as real r1 (the 400g version) or even the 133g quants.
Once you get out of the atmosphere, drag (and fuel consumption) is ~0. So theoretically possible, but I'm not sure if that's what he was talking about. Certainly Overture won't be capable of that.
As they are linking with proprietary SDK they seem to have violated the GPL indeed.
I would be interested to see if this game is part of their "Carbon Engine" solution to release old games (with extra price)...
I do use this but for some reason it doesn't work in the same way and will fail despite clicking working.
Of course he's going to say that. He's incentivized to make everyone (especially investors) believe scaling is the only way so he keeps getting billions in investor money. If no one believes OpenAI can be caught, they win.
I like the local running of this and learning about how it works.

Q:These models running in WebGPU all seem to need nodejs installed. I that for just the local 'server side', can you not just use a python http server or tomcat for this and wget files?
> So Trump is demanding loyalty from the members of the National Security Council. Not the FTC. Not the DOE.

No. He's demanding loyalty from everyone.
> But I don't want to do any of this

Security has either been easy and weak, or difficult and strong. It will never change and so you will always have the option of weak security if you dont want to jump through the hoops for the peace of mind.

> my friends who use typical insecure practices like password reuse or post-it notes

IMO people who do those things will never change. Its like the environment, everybody knows what they should be doing but no-one cares enough to do it.
Britt Allcroft, Creator of 'Thomas the Tank Engine,' Dies at 81
Given the original reason for lockdown in the UK was 20% all cause mortality.

100% expected fatalities above about 70 and hospitals struggling for oxygen supplies. Yes it was not that bad.

No that’s not an exaggeration, that’s why lockdown 1 happened.

After that is just memeing from both sides about microchips and death walkers without masks on.

The it wasn’t that bad is honestly true. Again it was a novel virus introduced into a population with no immunity, but frankly keeping the economy going would have been better than paying people to stay at home and worry.

The cost is starting to come home to roost if we’re not careful and the socioeconomic results of a global depression could genuinely kill more, displace more and lead to political turmoil and violence.

That is not worth just telling gran I’m sorry, the rest of us can go outside but we recommend you don’t.

Again practicing lecturer in applied stats talking so I understand the gritty details of the models and projections.
Would be happy to go through my life hearing no more from him.
I didn't even try searching for this because nowadays chances are there is no setting for it, but it's so nice to see I was wrong.
Why is discovering another headline-worthy then?
https://archive.ph/6y6nw
[...] and the golden tube that goes pop (I can’t remember the name) couldn’t vacuum up the solder [...]

It's called a solder sucker amazingly enough (perhaps desoldering pump is the more formal name). Very handy when they work.
> that make me want to move or find a self-hosted solution.

passwordstore.org and "git init --bare password-store.git" somewhere on your own network.
Maybe he comes across better in person? https://www.paulgraham.com/fundraising.html

> Sam Altman has it. You could parachute him into an island full of cannibals and come back in 5 years and he'd be the king. If you're Sam Altman, you don't have to be profitable to convey to investors that you'll succeed with or without them. (He wasn't, and he did.) Not everyone has Sam's deal-making ability. I myself don't. But if you don't, you can let the numbers speak for you.
Be more specific - AI is a very broad field.

nVidia GPUs have the best inference speed (particularly around SDXL, Hunyuan, Flux, etc), but unless you're buying several used 3090s SLI style, you're going to have to split larger LLM GGUFs across main memory and GPU. I'm excluding the RTX 5090 since two of them (plus tax) would basically blow your budget out the water.

With Apple I think you can get up to 192GB of shared memory allowing for very large LLMs.

Another thing is your experience. Unless you want to shell out even more money, you'll likely have to build the PC. It's not hard but it's definitely more work than just grabbing a Mac Studio from the nearest Apple Store.
I mean currently yes, but writing a test/patch/benchmark loop, maybe with a seperate AI that generates the requests to the coder agent loop, should be doable to have the AI continually attempt to improve itself, its just no ones built the loop yet to my knowledge
If you want to be pedantic, it really isn't a number at all, it's a string of digits. A lot of "serial numbers" and "material part numbers" are not only not numbers, they're not even all digits.
Luckily we have enough remaining guardrails that it's unlikely to happen within the next 4 years. But we're getting closer, that's for sure. And the Supreme Court's disastrous decision on presidential immunity is allowing Trump to play Generalissimo.
Obesity dipped in U.S. adults last year for first time in a decade (2024)
Flip the script. The CEO AI runs the company. No one runs the CEO AI.

> You still need a face of it at the end of the day.

Feel like that one's solved with 30 seconds on DALL-E
As far as I know it won't be affected at all, the project is almost fully funded from the European Space Agency. And it will most likely be launched with the European Ariane rocket.
Is Rasmussen really in favour of a GoF ban and destroying the academic value of the background of the majority of her professional friends in the field? Cause I can't really find her calling for a ban, quite the opposite really.

This is the problem with virology, it IS GoF. Expecting virologists to be objective in this is expecting the impossible, like expecting the WHO to apologize for sending Daszak as head of the fact finding mission. They were either THAT incompetent or THAT self interested in maintaing GoF/virology, damn the truth.

I suspect virologists still see themselves as guards on the wall and that we can't handle the truth. Which we already know from the early emails is how they thought early on, why should I assume their propensity for dishonesty has changed?
To Hit DeepSeek 0
A post to illustrate the depth of knowledge within DeepSeek and in a fun way show how censorship (on purpose or not) can effect AI models.
That's similarly true for carbon-based life; abiogenesis remains a hypothesis in search of concrete evidence.
Janus Pro 1B is a multimodal LLM, not a diffusion model, so it's got a bit more things to pack in the parameters. It is super low parameter count, in an LLM context.
> creating a dedicated email account with no 2fa and email the code there

Of course, that account could also decide to implement mandatory 2FA. Could even be unannounced, just "This login is suspicious, we sent a message to your recovery email to confirm this login"
Yes. It always struck me as incredibly insecure to make thinking of how one appears to others one's whole identity.
FWIW, flights and hotels were unreasonably expensive, even for London. I was sort of relieved after I went through the ticket lottery and didn't get anything I had wanted. It was disheartening to later watch and see a bunch of empty seats on TV though! https://www.theguardian.com/sport/2012/jul/29/london-2012-em...
Not a fan of that one myself (it's far easier to tell what doesn't belong in a package vs. what does belong in a package) but that option does exist, so as a maintainer you really have no excuse, and as a user you have multiple MR/PRs that you can file to help them fix their cruft.

> On a typical project with a build step, only a `dist` folder would published.

Sort of, but always include your docs (readme, changelog, license, and whatever true docs dir you have, if you have one). No one should need a connection for those.
https://en.wikipedia.org/wiki/Britt_Allcroft
DeepSeek-R1-Distill-Qwen-32B is my new default model on my home server. previously it was aya-32b.
This is why I like generating passwords with a 1 way SHA-256 hash, no need for any storage or encryption and no reliance on some website service being up.
Specifically he said

> Look the way this works is: we're gonna tell you 'its totally hopeless to compete with us on building foundational models' and its your job to try anyways

He's clearly being glib
My brother jumped on the Ioniq 5 deal back in October and just got hit with the surprisingly high registration fees too. I know registration fees in CO are high, but having people jump on sub $200 a month car payments and then expecting them to pay $1000+ or more to register feels bad.
I can't believe GoDaddy is still in business. Shows you can be a horrible company -- borderline scammy back in the day -- and somehow survive.

FWIW we've used Gandi for years and very happy with it.
Surprising to find a post about the same series of LG monitor as the one I'm reading it on. The power button on mine hasn't failed... yet?

Very brave to go disassembling the button component itself, and it paid off. Personally I wouldn't spend that time, but the worst case is ordering a new button part either way, so I might try it in future.
>Human beings have been doing much the same for a very long time.

If you completely ignore the scale & speed at which LLMs can generate information compared to humans, sure.

It seems silly to ignore that, though.
I use my own tools and scripts, and those aren't for everyone - so I'm just gonna make some general suggestions.

1. You should try Aider. Even if you don't end up using it, you'll learn a lot from it.

2. Conversations are useful and important. You need to figure out a way to include (efficiently, with a few clicks) the necessary files into the context, and then start a conversation. Refine the output as a part of the conversation - by continuously making suggestions and corrections.

3. Conversational editing as a workflow is important. A better auto-complete is almost useless.

4. Github copilot has several issues - interface is just one of them. Conversational style was bolted on to it later, and it shows. It's easier to chat on Claude/Librechat/etc and copy files back manually. Or use a tool like Aider.

5. While you can apply LLMs to solve a particular lower level detail, it's equally effective (perhaps more effective) to have a higher level conversation. Start your project by having a conversation around features. And then refine the structure/scaffold and drill-down to the details.

6. Gradually, you'll know how to better organize a project and how to use better prompts. If you are familiar with best practices/design patterns, they're immediately useful for two reasons. (1) LLMs are also familar with those, and will help with prompt clarity; (2) Modular code is easier to extend.

7. Keep an eye on better performing models. I haven't used GPT-4o is a while, Claude works much, much better. And sometimes you might want to reach for o1 models. Other lower-end models might not offer any time savings; so stick to top tier models you can afford. Deepseek models have brought down the API cost, so it's now affordable to even more people.

8. Finally, it takes time. Just as any other tool.
Fair, I hadn't considered the intercontinental ballistic passenger missile approach.
I think some of the CEOs have it right on this one. What is going to get harder is selling “applications” that are really just user friendly ways of getting data in and out of databases. Honestly, most enterprise software is just this.

AI agents will do the same job.

What will still matter is software that constrains what kind of data ends up in the database and ensures that data means what it is supposed to. That software will be created by local teams that know the business and the data. They will use AI to write the software and test it. Will those teams be “developers”? It is probably semantics or a matter of degree. Half the people writing advanced Excel spreadsheets today should probably be considered developers really.
> A entrance to a mini-storage place is probably OK to be weak. Presumably, you are required to have a proper lock on your own unit.

You'd like the entrance to be strong, because access to the entrance grants you secluded access to all the units, and angle grinders beat locks in seconds, proper locks in just a few more seconds.

Of course, cars beat entrance gates pretty easily too.
Heh, yeah. But the llm in this instance only wrote 99% after the author guided it and prompted over and over again and even guided it how to start certain lines. I can do that. But can a beginner ever get to that level when not having that underlying knowledge?
I see what you mean now, you are right. My only intention was to demonstrate that a TS solution is possible - one that does not rely on the type system but one that still observes all the constraints listed. I think this was questioned by some in the thread (but not you).
That's not going to prevent the next DeepSeek from emerging.
A near-miss midair collision led to the creation of Air Force One (2016)
I think so too, the URL is so clean
Stupidity was certainly taken advantage of in November.
"in a long time" kinda doesn't matter to me. America hasn't built a supersonic bomber "in a long time", you'll have to excuse me for not caring. The value of such a weapon is dubious and only made sense in a hype-laden Cold War environment.

Similarly I don't think we've learned the lessons of the Concorde yet. Not only do people not need hypersonic flight, it's going to create a premium class of hydrocarbon emissions that is already bad enough with passenger aircraft. Progressive countries will ban operation (much like they did with the Concorde) and routes will have to be changed. Removing the afterburner and making the boom quieter simply isn't going to bring these skeptics onboard, and they're right to remain skeptical.
To be fair that's valid not just in tech but everywhere. Unless you're one of the rare examples of a polymath, there is no way you can know everything to judge any given product (class) on its merits - and hence all the SEO fraud around "best 10 of <class>".
I don't care for this spec and probably wouldn't use it if it were implemented, but I do like your suggestion of how to handle err shadowing.
President orders 'Iron Dome for America' in sweeping missile defense push
I couldn't agree more.

And this kind of fear mongering is particularly irritating when you see that our industry already faced a similar productivity shock less than twenty years ago: before open source went mainstream github and library hubs like npm we used to code the same things over and over again, most of the time in a half-backed fashion because nobody had time for polishing stuff that was needed but only tangentially related to the code business. Then came the open-source tsunami, and suddenly there was a high quality library for solving your particular problem and the productivity gain was insane.

Fast forward a few years, does it look like this productivity gains took any of our jobs? Quite the opposite actually, there has never been as many developers as today.

(Don't get me wrong, this is massively changing how we work, like the previous revolution did, and how job is never going to be the same again)
Scolia 2025 First International Workshop on Scholarly Information Access
“The aim of the SCOLIA (SChOLarly Information Access) workshop, following the successful BIR workshop series, is to bring together researchers and practitioners from Information Retrieval (IR), Natural Language Processing (NLP), and Scientometrics/Bibliometrics who are working on the analysis of scientific/scholarly documents.”
By counting grid points it looks like codes in the form 0[1-9][32-99] are the least common with a few exceptions (like 0990 or 0987).

I suspect this is leading zero bias: a leading zero is not meaningful mathematically and we tend to drop it. The exceptions are dates. The day first block doesn't extend vertically into an unused area but the month first one drops off a cliff around 32 because no month has 32 days.
Yooouch
Yep, and we still need COBOL programmers too. Your job as a technologist is to keep up with technology and use the best tools for the job to increase efficiency. If you don’t do this you will be left behind or you will be relegated to an esoteric job no one wants.
The correct scientific approach to a sample size of one tends to be "not enough information to make a decision".
Had a peek at the repo and it looks to be a react frontend, so a JavaScript runtime is needed to "bundle" the application in a way browsers can consume. If you had the dist folder then I imagine you can use whatever web server you want to serve the static files.
Oh right, we will have a B2B B2C B2L L2B L2C and ultimately the L2L market.
They make all their money on ads in FB and IG. It's how their stock barely budged despite losing $30b on a VR ghost town.
Well, my experience with using an LLM (ChatGPT) for coding in a nutshell:

(asking Chatgpt after getting a very cut together looking example-ish example):

Me: You simply read various examples from the D3D12 documentation and mixed them together without really understanding them? Admit it! :D

ChatGPT: Haha, I admit it, that was a bit of a ‘best of DirectX 12 documentary’! But hey, I tried to build you a solid base that covers both window handling and the basics of DirectX 12.
It's interesting. Maybe I'm in the bigtech bubble, but to me it looks like there isn't enough work for everyone already. Good projects are few and far between. Most of our effort is keeping the lights on for the stuff built over the last 15-20 years. We're really out of big product ideas.
My First IDE
+1 for autojump since it's already in debian & ubuntu package repositories. Install with `apt install autojump` and add a line to your shell config file to load it. For Bash that means adding e.g. `source /usr/share/autojump/autojump.sh` to your .bashrc. Also works with zsh, fish, tcsh, clink.
'sama is just maximising his upside in a completely rational way here. He knows he's the big fish, so he attempts to dissuade the little fish before they can even grow. I don't see a problem in him doing that, almost all VCs / CEOs would do the same.
Deepseek blowing up like this really showed how tired everyone was with the AI founders acting like they’re saving the world.
A battery powered spoon?
Why would Sam Altman be incentivised to compete with OpenAI? I don't understand what you're trying to say.

But in the end your conclusion is the exact opposite of what he said, and I don't see what justifies that interpretation.