skysight-inc/HackerNews huggingface dataset:
Finder is just so limiting. It's like Apple stopped putting any effort into improving it.

The Path bar, as an example, is functionally inferrior to the Address bar which you can click into to adjust paths, copy/paste, etc. (sure you can right click the Path bar, but that involves the mouse).

"Terminal here" also requires the Path bar, another thing Explorer does better.

Then there is Finder and SMB shares. Pile.

I'm probably forgetting more.
Ha! It's a testament to their great hardware though! I did not even scratch the watch by throwing it full force again a hard surface.
Not really - there's a difference between having the docstring of a function available for you to read, and a model which has learned from thousands of examples how to use a particular API and integrate it into a larger set of instructions. The latter is vastly faster and takes much less human work than the former.
This is really dumb.

Deepseek showing that you can do pure online RL for LLMs means we now have a clear path to just keep throwing more compute at the problem! If anything we made the whole "we are hitting a data wall" problem even smaller.

Additionally, its yet another proof point that scaling inference compute is a way forward. Models that think for hours or days are the future.

As we move further into the regime of long sequence inference, compute scales by the square of the sequence length.

The lesson here was not "training is going to be cheaper than we thought". It's "we must construct additional pylons uhhh _PUs"

Markets remain irrational and all that...
In my experience LLMs will help you with things that have been solved thousands of times before and are just a matter of finding some easily researched solution.

The very moment when you try to go off the beaten path and do something unconventional or stuff that most people won't have written a lot about, it gets more tricky. Just consider how many people will know how to configure some middleware in a Node.js project... vs most things related to hardware or low level work. Or even working with complex legacy codebases that have bits of code with obscure ways of interacting and more levels of abstraction that can be reasonably put in context.

Then again, if an LLM gets confused, then a person might as well. So, personally I try to write code that'd be understandable by juniors and LLMs alike.
I'm curious why you're saying it's less hackable?

I've written my own little app for my Garmin watch, and I didn't need to get permission from them or pay them anything.
I agree hype is a big portion of it, but if DeepSeek really has found a way to train models just as good as frontier ones for a hundredth of the hardware investment, that is a substantial material difference for Nvidia's future earnings.
Does anyone have a recommendation for a self-hosted photo app that pushes to commercial cloud storage behind the scenes intelligently (I.e. I don't want thumbnails stored there etc) and which can use a local GPU for person-identification, scene identification etc.
I bookmarked this a long time ago, it could be helpful: https://gist.github.com/isaacsanders/1653078

This is, I believe, a copy of the article "Joel Spolsky on Equity for Startups". It's a very short read.
Yeah, 404 of GPU ram is quite the gpu cluster.
>It lead to more revenue for the industry as a whole. But not necessarily for the individual companies that bubbled the hardest: Cisco stock is still to this day lower than it was at peak in 2000, to point to a significant company that sold actual physical infra products necessary for the internet and still around and profitable to this day. (Some companies that bubbled did quite well, AMZN is like 75x from where it was in 2000. But that's a totally different company that captured an enormous amount of value from AWS that was not visible to the market in 2000, so it makes sense.)

Cisco in 1994: $3.

Cisco after dotcom bubble: $13.

So is Nvidia's stock price closer to 1994 or 2001?
It’s a frustrating dynamic because I’ve heard hiring managers talk about avoiding “job hoppers” and people who haven’t been promoted at prior jobs. There’s no room to be promoted if someone above me doesn’t vacate their position.
I streams sats to creators but also to the podcast app. I wonder what an app like Castamatic or Podverse or Fountain makes…
Sometimes the solution is 99% correct but the other 1% is so subtly wrong that it both doesn't work and is a debugging hell.
This is exactly why millions of Americans choose home schooling. So that their children don't get confronted with science and philosophy.
well, so you believe llama or chatGPT don't have censors? or censors you that aligns with your political stance isn't a censor :D
ironically when I had a pebble time, the battery life was so good I'd get used to not charging and would have days where the battery would die due to forgetting. now that I have an apple watch I've never had that happen, and ironically it's because the battery doesn't last a long time.
We’re not talking about a digital dollar so much as a government mandated spending program for all citizens or perhaps retail account owning individuals.
My wife was temporarily banned for a photo of a marble statue.
My mother receives invitations to groups that share photos of migrants drowned in the Mediterranean.
Don't use Facebook, and certainly don't depend on it.

Edit: Recently, a lot of associations working to prevent HIV, sexually-transmitted diseases and family planning have been progressively de-listed, or their content blocked and their accounts banned, all over the world on all META platforms. This is the true face of freedom of expression according to META and its “community rules”.

Meta censorship of abortion pill content (french) : https://www.radiofrance.fr/franceinter/podcasts/veille-sanit...
Honestly I doubt anyone can really answer with true authority on any meaningful timeframe beyond the next few months. What I'm more curious about is what other professionals consider the most resistant to automation and where to focus on being the best human contributor. Sorry for not being more clear in the title (which I unfortunately can't edit).
Why not make a snail mailer download service?

Mediawiki dumps, Linux distros, AI models, etc.
> innovative

A clone right even down to the name!
This is not the place to discuss this (wrt religion) but I am very much for science/philosophy.

I guess to further explain my point above: the current/past way to learn math is to start from the basics, addition, decimals, fractions, etc... vs a future where you don't even know how to do that, you just ask.

Which some things are naturally like that eg. write with your hand/pencil less than typing/talking.

Idk... it's like coding with/without co-pilot. New programmers now with that assist/default.

edit: I also want to point out, despite how tin-foil hat I am about something like Neuralink, I think it would be interesting if in the future humans were born with one/implanted at birth and it (say a symbiote AI) grew with them.
This is a cookie cutter comment that appears to have been copy pasted from a thread about Gamestop or something. DeepSeek R1 allegedly being almost 50x more compute efficient isn't just a "vague rumor". You do this community a disservice by commenting before understanding what investors are thinking at the current moment.
No the reality of AI models fundamentally changed
We are obligated to have an external auditor run PCI DSS penetration testing and network segmentation testing every year.

Their second request (after a network diagram) is always to create an EC2 instance running Kali.

Which, honestly, confuses me a bit -- all of the packages are available in AL or Ubuntu, so why do they care? I don't know, and I guess I don't care enough to ask. Just give me the attestation document please. :)
there's no reason to believe that performance will continue to scale with compute, though. that's why there's a rout. more simply, if you assume maximum performance with the current LLM/transformer architecture is say, twice as good as what humanity is capable of now, then that would mean that you're approaching 50%+ performance with orders of magnitude less compute. there's just no way you could justify the amount of money being spent on nvidia cards if that's true, hence the selloff.
Ha, I actually did the same, albeit after using a succession of disappointing Fitbits. In the end I realised that what I mainly cared about was having the time on my wrist, and I could leave everything else. So I ended up with the steel strap, EL-illuminated version of the F-91W.
The full DeepSeek model is ~700B params or so - way too large for most end users to run locally. What some folks are running locally is fine-tuned versions of Llama and Qwen, that are not going to be directly comparable in any way.
So why would DeepSeek decrease FOMO? It should increase it if anything.
> will accelerate our efforts to produce new hardware

Don't do that. Don't give me hope...
People passing cynical comments at Google need to understand that at a big co like Google, something like this doesn't 'just happen'. It probably happened because some passionate L6/L7 engineer wanted to do it and pushed through the bureaucracy to get approvals for it, probably largely on their own time (by which I mean that this was at best a side-project for them and at worst a distraction that was losing them favor with their bosses). At every point in the process, they probably had to justify what they were doing to their leads, to lawyers, to privacy reviewers, who had no real stake in it and so had nothing to lose by saying No. They almost certainly won't receive any career progress out of this and would risk a setback if something slips through the cracks (such as some unredacted proprietary information).

They did it because they felt it was the right thing to do. Good things happen through the actions of individuals like this. We should acknowledge and celebrate it when they do, anti-big-tech cynicism can wait.
“Experienced folks” in this case means folks who’ve used LLM’s enough to somewhat understand how to “feed them” in ways that make the tools generate productive output.

Learning to properly prompt an LLM to get a net gain in value is a skill in it of itself.
Their software is pretty bad but the hardware has been pretty bulletproof for me and I've certainly never had one randomly freeze or reboot in the decade+ I've been using them.
These are forerunners though. I haven't used their "fancier" watches.
What a stretch. One Chinese model makes a breakthrough in efficiency and suddenly China has all the best people in the world?

What about all the people who invented LLMs and all the necessary hardware here in the US? What about all the models that leapfrog each other in the US every few months?

One breakthrough implies that they had a great idea and implemented it well. It doesn’t imply anything more than that.
Don’t know about Apple Watch development, but the scope of what you can do with Garmin's SDK is limited, apps run in a VM, ie no native code with respective performance issues and, as important, their developer support is a complete and utter garbage.

It's a lucky day when someone from Garmin graces Forums with their presence and bestows few sentences they think could pass for an answer.

In other words, yeah, the SDK is free, you can side-load and it’s not hard to write for, but you just can't write much.
Or you could argue you can now do 45x greater things with the same hardware. You can take an optimistic stance on this.
Ceres: Building Blocks of Life Delivered from Space
I've had a garmin for ~3 weeks now. amy #2 use for a watch (after telling the time, of course) is to read texts without pulling out my phone, and so far the garmin ux for that has been way worse than the pebble's. (not really used the fitness features much other than step tracking, which the pebble also did)
please add a button to start a GPT voice mode conversation or start dictating / recording an audio note -- too things I'd love to be able to do more on-the-go without having to dive into my phone!
A New Demographic Reality
Those subcontractors build factories, which is investment.

https://newsukraine.rbc.ua/news/four-rheinmetall-plants-set-... for example.
IMO keep it simple applies here. The page linked below does pretty much everything your page does (minus code diffs) and is MUCH easier to read.

https://go.dev/doc/tutorial/getting-started#code
You have trouble with touch interface in sunny conditions??? Try cold conditions with gloves on, then you'll have real problems with the Apple Watch. Or wet conditions. Or fast conditions like on a bike where you rather not look to turn off the alarm. Sunny conditions is the only time my watch works fine.
Context matters a lot, copy-pasting snippets to a webpage is _way_ less effective than Cursor/Windsurf.
Rebble is the open source infra that has been keeping Pebbles alive since ~2016. See: rebble.io and https://github.com/pebble-dev

(Disclaimer: I'm part of the team)

RePebble is a new thing by Eric, the original founder of Pebble and is unrelated to Rebble.

> Is Rebble making hardware as well as RePebble?

Potentially! We have always talked about it, but some of the announcements today have thrown us for a loop so plans are still being discussed.

> Is RePebble also open source and community owned like Rebble?

Remains to be seen, but if I had to guess it's unlikely.
I'm not an American, I don't give a shit about Fauci. I do give a shit about institutions that violate the law performing dangerous experiments that pose extreme risk to mankind. Oh, and those same experiments may have caused the pandemic. This is why its important to get to the truth on this.

The fact that you Americans are playing politics with this, is the most shameful fact of the whole thing.
It actually works with chimps. They _are_ very hierarchical and somewhat neurotic even in the wild.

It's no wonder that they are our closest cousin.

Gorillas, in comparison, are much more laid-back.
NT is a very interesting DEC VMS clone (developed by the same team). In fact 9x was much more original design.
I think the market perception of NVidia’s value is currently heavily driven by the expected demand for datacenter chips following anticipated trendlines of the big US AI firms; I think DeepSeek disrupted that (I think when the implications of greater value per unit of compute applied to AI are realized, it will end up being seen as beneficial to the GPU market in general and, barring a big challenge appearing in the very near future, NVidia specifically, but I think that's a slower process.)
True but with that revenue number it would mean that before today it was valued at ~100x revenue. That’s pretty bubbly.
I think employers are, and I think it costs them a ton of money.

My intrinsic responsibility isn't to the person handing me a check: we have an explicit contract. It is first to myself, second to the people whose lives are affected by the software I write, and third to my coworkers.

When developers pretend the relationship with an employer is just the two of them, they are giving up most of the leverage they have to change how their work functions.
There is a big model from NVIDIA that I assume is for this purpose, i.e. Megatron 530b, so it doesn't sound too unreasonable.

Edit: I assumed that the model was distillation, that is apparently not true.
He’s constructing a straw man just to beat it down for entertainment, I’d rather have read a thoughtful analysis on AI and a genuine interpretation of the counter arguments.
It was done on NVIDIA chips.

And most likely they ran experiments and competing models on their other clusters. Using existing synthetic data.

Before running this one… and highlighting their ‘$5M’ cost.

Smoke and mirrors… all smoke and mirrors.

https://open.substack.com/pub/robotic/p/deepseek-v3-and-the-...
Exists sea grade of electronics, which are covered by thick coating layer, but it is also non-ideal solution, could become fractured, and you cannot make coating on dip switches or on connectors.
You forget over time, and obligations grow.

My first layoff was rough. It was in '00 and I was 21, so I didn't have too many obligations.

My second layoff was in '23 and I was 44 with kids and a mortgage. It hit me a lot harder.

My third was in '24, but I had learned my lessons and had positioned myself better, so I wasn't as badly affected.
Meta barely changed their moderation policy. The community standard docs which list every violation are still extremely long and cover a large swath of speech https://transparency.meta.com/policies/community-standards/, to which they only added 2 bullet point exceptions (and eventually the future addition of community notes)
Today, I needed to write a proxy[0] that wraps an object and log all method calls recursively.

I asked claude to write the initial version. It came up with a complicated class based solution. I spent more than 30 minutes getting a good abstract to come out. I was copy pasting typescript errors and applying fixes it suggested without thinking much.

In the end, I gave up and wrote what I wanted myself in 5 minutes.

0] https://github.com/cloudycotton/browser-operator/blob/main/s...
They did that because

1) Their initial AI offerings weren't real products customers would use or pay for

2) They weren't seeing sufficient adoption to justify the expense

3) They have insane levels of distribution in their existing product lines and can incrementally add AI features

This is entirely orthogonal to whether or not other startups can build AI-first products or whether they can position themselves to compete with the giants.
>Since both sides are using terrorism it’s fine, right?

It would be fine if the US & UK would at least start acknowledging Israel as the biggest terrorist organization in the region which makes proscribed terrorists organizations look civilized in comparison: IDF said bombed apartments were Hezbollah base - but most killed were civilians [https://www.bbc.com/news/articles/cgrn0nwn0eqo]

That way we would come full circle since the precursor to the IDF is already historically recognized as a terrorist organization by both the US and the UK:

https://web.archive.org/web/20231029055310/ojp.gov/ncjrs/vir...
It was a transflective memory LCD, which Pebble marketed as "E-Paper" (not the same as E-Ink)
Are you two related?
Has anyone verified DeepSeek's claims about R1? They have literally published one single paper and it has been out for a week. Nothing about what they did changed Nvidia's fundamentals. In fact there was no additional news over the weekend or today morning. The entire market movement is because of a single statement by DeepSeek's CEO from over a week ago. People sold because other people sold. This is exactly how a panic selloff happens.
The real hidden message is not that bigger compute produces better results, but that the average user probably doesn't need the top results.

In the same way that medium range laptops are now 'good enough' for most people's needs, medium range (e.g. DeepSeek R1x) AI will probably be good enough for most business and user needs.

Up till now everyone assumed that only giga-sized server farms could produce anything decent. Doesn't seem to be true any more. And that's a problem for mega-corps maybe?
Ask HN: Django vs. Next.js?
Americans are uneducated and unsophisticated, believing someone can wave a magic wand and make food prices come down,… when wages and supply must go up to accomplish this…

Government wields a magic wand that can make this happen. Americans aren’t dumber than other people. The President in the U.S. is the front person for “government” and asking why the President hasn’t accomplished something is one of the ways we put pressure on our leaders to lead.
"Disrupt" is the common verb.
Our first release will be in a few weeks, along with the accompanying technical paper.
Inflation adjusted is still limited to the largest companies. It’s simply using 2025 dollars for companies rather than comparing 1950 or whatever dollars vs 2025 dollars.
Gorillas, Chimpanzees and Baboons are similar in their social structures with the dominant alpha males. Bonobos are different with it being matriarchal and conflict resolution being less violent.
2024 Finances in Review
If you look at total volume of shares traded, this would be somewhere in the range of 200th highest.

If you look at the total monetary value of those shares traded, this would be in the top 5, all of which have happened in the past 5 years. #1 is probably Tesla on Dec 18 2020 (right before it joined the S&P500). It lost ~6% that day.

Don’t get me wrong, this is definitely a big day. Just not “lose your mind” big. It’s clear that most shareholders just sat things out.
Getting into the swim app itself takes a couple of different buttons presses. But then it tries to be both too smart and too stupid at the same time. All I wanted to begin with was lap counting with a big number on the centre of the display. Can't configure it and can't even start to get it to count laps without some ceremony of setting up interval training and it only gets more convoluted from there. It's useless for an amateur like me who is not a peak performance athlete who needs to track every minutiae of their swim stats. How many people are they targeting with these this UX? Just people getting ready for the Olympics? There are hundreds of them. Hundreds!
So why did the Biden administration block China's access to advanced AI chips? Why did Biden not reverse Trump's Huawei ban?

DeepSeek did not prove Lina Khan right. These things are honestly not even that related.
I thought it through, and it's actually dubious.

I think the problem might be proportionality-- the reasoning would go something like: they could have told the Germans not to let the gas through, and that would have achieved the same effect without violence/destroying civilian infrastructure, so the attack wasn't permitted, or they achieved only a mild military advantage, since the gas could be exported through Azerbaijan, Georgia and Ukraine itself, so it wasn't permitted, and the more I think about it the more I think it actually wasn't.
I am super excited about this! Thank you Google + Eric + everyone! My old Pebble is long gone, so the possibility of maybe buying a new one is awesome.
That's what we are usually taught, but it doesn't actually seem to be the case. In the smartphone market in particular, as the market itself has grown, the offerings have all seemed to converge on a relatively uniform feature set. Niche phones for niche markets have slowly been weeded out. I don't understand why this is the case, but empirically it seems to be so. That's not to say that there are no weird, niche phones anymore, but it does seem to be the case that there are fewer of them than in the past, when it seems to me that we should expect the opposite: as the market grows, the absolute size of proportionally tiny "niche" markets should also grow, which seems like it should support a greater diversity of weird phones.
Exactly. The concept didn't come from wolves alone. We also call it a pecking order based on chickens.

The concept of a dominance hierarchy is widely established:

https://en.wikipedia.org/wiki/Dominance_hierarchy?wprov=sfti...

And the gorillas and chimpanzees studied are not in captivity.

Obviously not every species exhibits this, and the ones that do don't exhibit it all the time. But the article acts like the concept has been discredited when that is not the case at all.
Correct, Nvidia has been on this bubble-like tragectory since before the stock was split last year. I would argue that today's drop is a precursor to a much larger crash to come.
Probably some jobsworth decided that free software = piracy.

I knew a company that leapt to the same conclusion regarding GitHub.
glad to see an exception to that rule :-)
Would inflation change the ranking?

> For Nvidia, the loss was more than double the $279 billion drop the company saw in September, which was the biggest one-day market value loss in history at the time, unseating Meta’s $232 billion loss in 2022. Before that, the steepest drop was $182 billion by Apple in 2020.