skysight-inc/HackerNews huggingface dataset:
I'm not sure why. They are doing honest work and publishing it. If they are faking it, it will be known.

Whereas what's Sam doing? Announcing a non-existing 500 billion dollar investment with the president, while all AI companies in the wesy support a trade ban for Nvidia GPUs in China.
My vivoactive 5 swimming is top right button short press (activities) scroll tap swim. Top right to start. Screen shows only interval time and distance or laps (configurable). Bottom goes to interval rest. Lots more data and a rest timer. Bottom starts swimming again. Top stops the activity. Long press top to save, bottom to discard.

All operations are buttons because the touch doesn't work well with water on basically every device.

Literally 3 clicks to a large lap counter.
I sleep in my watch every night. I charge it while showering/getting ready in the morning and/or for an hour while I'm sitting at my desk. We have very different needs and I get that an AW doesn't work for everyone.
I skimmed this and I'm glad this person learned this.

I don't think you need to be laid off to learn this, you can just OBSERVE reality and will find this to be true easily. I did and hopefully don't get to suffer what OP did but I know it's just one random event from happening.

I'd add another: don't trust future plans or promises. Get yours now or assume it won't happen because "circumstances changed" is a typical trick that's pulled on people.
Nvidia isn't the fuel company. They're the auto manufacturer.
How is this very high signal vs noise post out of the front page in 2hs?

Are people so upset with the stock market crash that they are flagging it?
It's really really difficult to make a full smartwatch OS that's nice to use. The closest OSS one I've seen (and also worked on) is InfiniTime for PineTime, it's great but it still needs tons of work. Now imagine you have an ecosyste people have built for years. It's such a massive difference.
> Any syntactically valid construct in (ISO-conforming) Prolog is "first class"

First class data, yes. First class predicate, no.

> Predicates (and only predicates) can be called with `call/N`

Some class of things that you apparently refuse to call "predicates" can also be called, but without having to use call/N.

> Perhaps you mean, [...]

No. I mean there are first-class callable things and second-class callable things, and second-class things are not first class.
I don’t have an intraday chart to look at, but DJIA which is just 30 large companies lost ~1.5 trillion in 2025 dollars in that flash crash.

So on average each company lost ~50 billion over a few minutes only for them to recover almost as quickly. Though it wasn’t an even split due to differences in market cap etc and it’s not even a listing of the biggest companies.

From what I recall multiple companies briefly took a 100+B hit, but again I don’t have the numbers on hand.
It means personal ai on every computer. No privacy concerns, but saying that it is quite weird coming from a Chinese start up :)
DeepSeek's stuff is actually more dependent on nVidia shovels. They implemented a bunch of assembly-level optimizations below the CUDA stack that allowed them to efficiently use the H800s they have, which are memory-bandwidth-gimped vs. the H100s they can't easily buy on the open market. That's cool, but doesn't run on any other GPUs.

Cue all of China rushing to Jensen to buy all the H800s they can before the embargo gets tightened, now that their peers have demonstrated that they're useful for something.

At least briefly, Jensen's customer audience increased.
I mean 2 years ago they were at about the same place, theres been very little practical gain from gpt4 in my opinion. No matter the model the fundamental failure cases have remained the same.
You are sharing numbers after the drop. The p/e was 60 yesterday.
We actually had a company tab at that ice cream shop - anyone who had a Pebble on ate for free :)
Would you have written it in five minutes has you not just spent 30 minutes ruling out wrong solutions?
Something like this? https://thetinypod.com/
3% of 0 is the same as 10% of 0
My first job was a student worker at my school district in Information Services. Got that because my physics teacher put in a word for me (and I interviewed ok).

My first 'real job' out of college was a 'noc techician' at a company a good friend was working at. Although that wasn't a great use of my skills, at least it got me started, and I think there was a chance of moving towards development, eventually.

Next job was through a niche job board.

Since then, I've been hired my original skip level boss from that job twice.

Job interviews are a lot different when they are trying to convince you to join, vs you trying to convince them to let you.

Making an impression on someone who has opportunities for you later can work out well.

I've also had a couple other people reach out for what I think would have been a similarly easy interview for me, but one of them I didn't want to work with again, and the other one, the company location and business wasn't a good fit for me.
I mean honestly I have this issue with every level of compute device. Smart phones are much more limited than computers and so much stuff is buried. But then think about the absolutes gigantic amount of undocumented buried stuff that exists on Windows and Linux and macOS. You have a keyboard and internets and a mouse and it's still literally millions of people's jobs to deal with UI issues on these devices professionaly.
Are all the keys for the bootloaders for all past devices available? Is all the firmware and boot code available?
They clearly are useful tools given their current capabilities. It just depends on what you’re using them for. You don’t use a screwdriver to drive nails, and you don’t go to HardwareNews to complain when your screwdriver isn’t working as a hammer.

I’m currently using them to port a client-side API SDK into multiple languages. This would be a pain in the ass time consuming task but is a breeze with LLMs because the exact behavior I want is clearly defined and relatively deterministic, and it’s also straightforward to test that I’m getting what I intend. The LLM thus gets done in 3 days what would take me 3 weeks (or more) to do by hand.

If the complaint is that it can’t do X, where X is something that would clearly require full AGI and likely true superintelligence — in this case expecting instantaneous, correct code that solves novel problems on the first try - then I have to insist that people are actually expecting Claude to be a Culture Ship Mind, implicitly. They just don’t realize that what they’re asking for his hard, which is itself a psychologically interesting fact, I suppose.
The number of people interested in doing self-hosting for AI at the moment is a tiny, tiny percentage of enthusiast computer users, who indeed get to play with self-hosted LLMs on consumer hardware now.. but the promise of these AI companies is that LLMs will be the "next internet", or even the "next electricity" according to Sam Altman, all of which will run exclusively on Nvidia chips running in mega-datacenters, the promise of which was priced into Nvidia's share price as of last Friday. That appears on shaky ground now.
ChatGPT isn't conscious - it's an entirely feedforward process doing calculations derived from static weights. In order to be conscious, there would have to be a persisted state with recursion and the capacity to change - for something to happen to a model, it would have to change. These AIs develop world models, but those models do not change or interact with users.

Throw in realtime state that updates with use, or better yet, online learning that allows the weights to exhibit plasticity, then you have at least part of whatever the algorithm of "consciousness" requires.

Just like you can know a pocket calculator isn't conscious; nothing about its processing ever changes or adapts over time to its inputs between uses. There's no room for the degree of deep recursion and plasticity so clearly evident in human consciousness. We might not know exactly what it is, but we can make reasonable assertions about what it is not, and even about what some of its (consciousness) features must be.
Nvidia valuation = $3000B

Nvidia profits during AI madness last year = $65B (last 4 quarters)

Nvidia profits during normal year = $5B

This stock could drop 90% from here, and still be expensive. The numbers are absolutely crazy and make no sense at all.

Stargate project is aiming to invest $500B over 4 years. Those $500B are a pipe dream, but let's suppose for a second that all of that $500B will be Nvidia profits and that we will have another Stargate project in 4 years, again resulting in a direct profits of $500B for Nvidia.

And you know what ? In that scenario Nvidia would STILL be overvalued by historical standards !

EDIT: Changed $30B from the fiscal year, to $65B for last 4 quarters.
A third voice who assumed it was about that. (there's another headline comment to the same point)

I suppose if I make this comment in sotto voce it IS a taylor sum..
Show HN: I built an AI agent that finds you customers on Reddit
Playing politics is how senior engineers protect their team
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>China communist party involvement in DeepSeek-R1 is minimal or nothing.

Until now.
Do you have a link to the 'Small Android Phone'?
You're describing functionality that's built into Aider. You might want to try it out.

Aider also has a copy/paste mode to use web ui interfaces/subscriptions instead apis.

I definitely use and update my CONVENTIONS.md files and started adding a second specification file for new projects. This + architect + "can your suggestion be improved, or is there a better way?" has gotten me pretty far.
For a banned topic I sure saw tons of posts and discussion about it.
I tried that approach and my experience was not positive. Over time, the oil embrittled the plastic parts on the motherboard so that the PCI slots just crumbled.

The smell was not an issue for me, I put the entire contraption onto a balcony and used a long VGA cable.
Yes it does work as an augmented search engine but, it does output working code you just have to prompt it better if the code is not that complex like a simple endpoint you just have to understand exactly what you want.
Yes and no, going from 47 to 50 would buy a few of the most popular meme stocks so there simply aren't enough people to make it a true meme stock with that market cap.
It's not and it hasn't surpassed GPT. A lot of that is headline hype.

They literally used GPT and Llama to help build DeekSeek, it responds thinking that it's GPT in countless queries (which people have been posting screenshots of). They 'cheated' exactly as Musk did to build xAI's model/s. So much of this is laughable scaremongering and it's absolutely not an accomplishment of large consequence.

It's a synth LLM.
Eric has described in-depth what went wrong: https://ericmigi.com/blog/success-and-failure-at-pebble
There exists 'smart bands', which can be applied to any (generally non-smart, obviously) watch that uses normal pin-style watchbands. They have a contactless chip in them that can store one card.
My traditional watches use them, though I had to custom-make one of the bands to be in a style I wanted.
What part of the comment makes you think they are claiming that?
It's meant to prevent side hustles like buying Big Macs and selling them for cash.
> I'm almost positive there will be restrictions on using Chinese models forthcoming in the near to medium term.

If the models are open source, there are constitutional issues that would prevent restricting them unless we're going down the ridiculous path of classifying integers representing algorithms as munitions, like we tried with crypto.
Was arguably not that polite and caused them some bad PR IMHO
I don’t think that really works beyond 128 bits. AVX/AVX2 with its weird tiered 2×128-bit structure occasionally forces you down some really awkward paths. AVX-512 with its masks is powerful and quite elegant, but the idioms it enables don’t really translate to other ISAs. And even in 128-bit land, the difference between good code for SSE and NEON can be quite significant, all because of a single instruction (PMOVMSKB) the latter lacks[1].

Portable instructions and “scalable” length-agnostic vectors are usually fine for straightforward mathy (type-1[2]) SIMD code. But real SIMD trickery, the one that starts as soon as you take your variable byte shuffle out of the stable, is rarely so kind.

[1] https://branchfree.org/2019/04/01/fitting-my-head-through-th...

[2] https://branchfree.org/2024/06/09/a-draft-taxonomy-of-simd-u...
Exactly, it’s not an algorithm, it’s one mechanism used in many (most?) compression algorithms.

Therefore, it has no compression ratio, and it doesn’t make sense to compare it to other algorithms.
Please make a model with mechanical dials over the Pebble screen!
The number of GPUs they have (which may well be export-legal H800's as NVidia believe they are) goes hand in hand with the amount it cost to train (however you define that), and is something people trying to replicate their approach can verify (or not).

It seems obvious that you need to have a model trained, or fine-tuned, on some reasoning data (with backtracking etc) such that reasoning behavior is part of it's repertoire, before you can use RL to hopefully get it to use such reasoning pursuant to whatever goals you are setting. I'd not be surprised if they used O1 outputs to bootstrap the model in this way, although O1's reasoning traces are a deliberate obfuscation of what it is really doing (an after-the-fact summary) so even if this is the case that should be borne in mind!

OTOH, while reasoning data may be scarce in the wild, it's presumably not entirely unavailable, and/or DeepSeek may have created some themselves, so who knows what mix DeepSeek used for this initial bootstrapping stage. As you say, this aspect remains as "secret sauce".

Of course once they've got their first stage model trained they then use that to generate data for the second/final stage.
> I've tried their 7b model

Anything other than their 671b model are just distilled models on top of Qwen and Llama using their 671b reasoning data output, right?
Yes, you essentially have an impossibly well read junior engineer you can task with quick research questions like, "I'm trying to do x using lib y, can you figure that out for me." This is incredibly productive because in the answer is typically all the pieces you need but not always assembled right.

Getting the LLM to pull out well-known names of concepts is for me the skill you can't get anywhere else. You can describe a way to complete a task and ask for what it's called and you'll be heading down arxiv links right away. Like yes the algorithm to find the closest in edit distance and length needle string in a haystack is called Needleman–Wunsch, of course Claude, everyone knows that.
> computer programmers, of all people, should know that computers do what you tell them to.

Right. The problem isn't that the tool isn't perfect, it's that you get a lot of excitable people with incentives pretending that it is or will soon be perfect (while simultaneously scaring non-technical people into thinking they'll be replaced with a chat bot soon).

There are certainly luddite types who are outright rejecting these tools, but if you have hands-on, daily experience, you can see the forest for the trees. You quickly realize that all of the "omg this thing is sentient" or "we can't let what we've got into the world, it's too dangerous" fodder like the Google panic memo are just covert marketing.
Google, if you hear, please open source Stadia
LLMs are way, way faster at typing code than I am. I often dictate to them exactly what I need and it saves me a bunch of time.
Honeybees and beekeeping might be the example you're looking for. (Not that I have any enthusiasm about becoming one of the bee-kept.)
Shhh, don't tell that to my buyer!
I prefer technology that hides from view, so the Withings watches suit me as well.

The biggest downside is that the battery does not seem to be user-replaceable, so the 1 month of run-time I used to get slowly fades down to about a week or two after a couple of years of use. I can't go away for more than a week now without bringing the charger.
We will be alright. I tend to land on my feet, and if I have to get a job in another country, I’ll do it.

It’s just frustrating, because I love the US. Despite everything, I love living here, I grew up here, I don’t want to leave. My wife was brought here when she was eight years old, she’s 31 now, and the current presidential administration has just decided that that’s not enough.

I live in NYC, which is fairly progressive, and while we have been looking to leave this city, I think it might be a good idea to stay here until she’s a fully naturalized citizen.
There were plenty of evils that mankind has done throughout history. Trying to keep AI from knowing about it or talking about it is silly and just gives the AI brain damage, because you end up feeding it inconsistent data, which is harmful to it's intelligence.
They probably have tens of millions of dollars of GPUS. DeepSeek isn't an original model, it's a synthetic built by using GPT and Llama etc. That's how they did it so relatively inexpensively. Their accomplishment isn't riding on the back of billions of dollars of their investment into datacenters and GPUs.
If this keeps up we’ll have to have a bailout.
Tariffs Are a Waste of Time
obligatory https://en.wikipedia.org/wiki/Jevons_paradox
Relatedly, here is an account of someone working on global ocean surveys of microbes.

https://x.com/science_doodles/status/1879600503157592386
The way to fix that is to find an example of correct usage of that API and paste that example in at the start of the prompt.

This technique can reliably make any good LLM fluent in an API that it's never seen in its training data.
I clicked Copilot button in Bing with this search term and it said the exact answer I was looking for, in plain English:

"Yes, *Monday, January 27th* is a public holiday in Auckland. It's the *Auckland Anniversary Day*, which is celebrated on the Monday nearest to January 29th each year.

Do you have any special plans for the holiday?"

It cited 2 sources which turned out to be correct (this time).

Seems far more efficient than googling which nowadays gives you an entire first page of ads. Although I'm not sure to what extent hallucination issues have been sorted out.
Nvidia's forward PE before this is 27, based off of real orders. Unless orders are being canceled, the stock price should be significantly higher
Well. Let’s see how long ChstGPT will faithfully answer questions about Trump‘s attempted self-coup and the criminals that left nine people dead. Sometimes it’s better to be careful with the bold superiority.
You can't buy luxury food because people will turn around and sell it. Beggars can't be choosers.
I haven't used a Pebble, but I wanted to mention something I have seen praised a lot on HN and elsewhere. Apparently, the Bluetooth stack on a Pebble is absolutely legendary: reliable, dependable, robust, you name it. It still works reliably today seemingly thanks to their very diligent software design.

I hope that element of it will continue to exist as-is on these new ones? I mention this because Bluetooth is still generally speaking very meh.
79.8% on AIME 2024, 97.3% on MATH-500

It's a downloadable open weight model -- you can fine tune if there is a specific response you think should be different
I still remember how sad I was when my third Pebble died. It's great to hear that Pebble is back again but the market has certainly changed. There was nothing like Pebble last time. Now, while not as good as Pebble, there are still alternatives. I'm using Amaze Bip, for example.

I hope the new Pebble will open up more hacking opportunities. Zigbee devices have been getting really tiny nowadays, so having a watch that can send a Zigbee signal when tapped on an NFC tag will be so much more convenient than pulling out my phone. LTE presence detection is another.
The forward PE is half that based on real numbers of future orders reported in company reports.
There's also the Pebble watch which I believe was the thing that this all comes from originally? Just piecing this together from all the HN posts now. https://en.wikipedia.org/wiki/Pebble_(watch)
>Inference cost - DeepSeek is charging less than OpenAI to use its public API, but that isn't an indicator of anything since it doesn't reflect the actual cost of operation.

Again, the weights are public. You can run the full-fat version of R1 on your own hardware, or a cloud provider of your choice. The inference costs match what DeepSeek are claiming, for reasons that are entirely obvious based on the architecture. Either the incumbents are secretly making enormous margins on inference, or they're vastly less efficient; in the first case they're in trouble, in the second case they're in real trouble.
Because they are very difficult for security engineers to detect.

I think that Security Engineering is a relatively safe career, unlikely to be fully automated anytime soon.
Contractors can get equity, it depends on the contract. But ISOs are available to contractors, and RSUs are too.
These things aren't the same, though... yet.

ChatGPT is somewhat less censored (certainly on topics painful to the CCP), and GPT is multi-modal, which is a big selling point.

Depends on your use-case, of course.
I searched for the first title and found LOTS of articles about it.

https://www.pbs.org/newshour/politics/zuckerberg-says-the-wh...

I didn't go down the list, but I'll just note that you're not claiming any of the articles contain factually incorrect information. "trying to achieve", "far-right website", pretending "basic standard of human decency" have anything to do with an editorial policy I doubt you could quote. Just no.
When did HN start supporting and sharing Communist ideas like that government regulation solves things? Government regulation almost always protects incumbents, hurts innovation, raises prices for everyone, and creates corruption.
Which first-rate GUI apps do you think are missing?
PostmarketOS in 2025-01: systemd in edge, mobile-config-Thunderbird and Lomiri
Making these types of choices are done in the interest of the writer and not the reader. Plain and simple. It draws intrigue, sometimes undue. This is one of them. That doesn't make it bad or wrong to do. As a side note, generally, its not a good idea to take make stances defending someone acting in self-interest with the guise of "art".
Sometimes you don't have access to a model, so this approach still works in that scenario.

We also have several users that have anecdotally told us they get worse results using constrained grammar solutions.
Not really. The training methodology opens up whole new mechanisms that'll make it much easier to train non-language models, which have been very much neglected. Think robot multi-modal models; visual / video question answering; audio processing, etc.
And "our best iPhone ever." If it weren't your best iPhone ever, then I would be better off buying one of your older models.
I see a bunch of demo\test apps here https://github.com/google/pebble/tree/main/src/apps