skysight-inc/HackerNews huggingface dataset:
Looking forward to checking it out!

I still have this email in my inbox from 2011, after a posting here on HN about your launch:

Subject: You bought the first one!
BODY: Congratulations...

Great to see this happening again, best of luck!
Systems built around profit seek efficiency, thus standardization.
Which watch has an e-ink(/epaper) display? I can only think of Watchy. Pebble was LCD.
Additionally: Sealing the tank would turn the airspace on top into an insulator, much the same concept as a double pane window. It would convert the entire top surface from a primary way heat is moved out of the system, through that convective circulation of room air, to a primary way to trap heat in the system.
What if you clicked no because you already own a Pebble?
I figured it would be easier for people to read it here and not leave HN. Worse for getting views I guess. But, it's got a lot of upvotes so maybe that helped. Didn't expect it to hit #3 spot today.
The purpose of a system is what it does. If this behavior is happening because nobody with authority cares to do anything about it, that's also a decision. I never understand why people rush to make excuses for these huge companies awash in resources with no real accountability or customer support.
The executables are vendored in the repo [0].

[0] https://github.com/sindresorhus/clipboardy/tree/main/fallbac...
Ask HN: Why don't failing startups just throw in the towel?
There are so many startup companies that are on life support or actively failing where the founders just refuse to throw in the towel, shut the company down, and return at least some of the money to investors. The preferred approach seems to be to continue limping along, take more money, do more layoffs, pivot the focus of the company again, all to continue the charade that this is just a bump in the road and this time the nth vision of the company with x team under y leadership will surely succeed!

It seems like the only reason these companies shut down is when everyone finally turns them away from securing more funding and the founders post a sad LinkedIn message about how today was the last day of operations at Beepboopbop. As a founder, wouldn’t your reputation be left more intact by being proactive about an unavoidable outcome? Going to the investors and outlining that some of the assumptions you made were wrong, the growth never happened despite all that you did, and this one didn’t turn out the way you thought?

I think doing this is looked at as “giving up” in the VC world however, and you you will be written off as not being “obsessed” enough about the problem, or you that you just didn’t have what it took and you’re not the next Steve Jobs.

Why does this happen? Isn’t the entire goal of a small company with a goal to become a business just to do that as quickly as possible? Most of the time the answer will be no, but that’s not necessarily a failure if you got to that understanding quickly and without wasting an enormous amount of money which seems like is the opposite of what’s happening now where the company is literally forced to shut down after wasting as much money and time as possible.
Great, now I can rewrite 10x more emails or solve 10x more graduate level programming tasks (mostly incorrectly). Brave new world.
My experience has been that past -6 or so, gzip files get only a tiny bit smaller in typical cases. (I think I've even seen them get bigger with -9.)
Show HN: Ollama server discovery tool (finds public LLM instances)
I built a network discovery tool in Rust that helps identify public Ollama LLM servers. It scans IP ranges to find Ollama instances and catalogs their available models.

Important note: This is intended for educational purposes and authorized security testing only.
Garmin Fenix 7 (and potentially Garmin Fenix 8 Solar) are reasonably button-y and kindof work "right" from a pebble fan.

The biggest miss for most smartwatches is "buttons", "battery life" and "sunlight-readable screen".

Buttons work without sight, buttons work in the shower (next track, volume, scrolling a notification, declining a phone call, stopping a timer), buttons can be "memorized", you can navigate buttons while riding a bike, and "button-centric" means you're focused on _only the essential_ capabilities. Ok. Next/Prev. Cancel/Back. Long-Press for shortcuts or confirmations. The discipline of designing for small, focused, essential interactions is so much better (when done well) than attempting to stab react components shifting around on your wrist or swiping in random directions on a slow-to-respond screen.

Charging "every other week" means I can go on a weeks vacation, charge the watch before going, and not need to worry about or bring another charger.

Sunlight-readable (non-lighted, non-distracting) screen means I can glance down and see the current time [with no wrist movement], and I don't have a bright light turning on and off (most of the time).

The biggest miss for the Fenix compared to Pebble is/was "The Timeline" from Pebble. On the home screen, you could basically scroll through your upcoming calendar events to kindof keep you on track. https://www.youtube.com/watch?v=XYZoWS0QxI8

The biggest opportunity for "Pebble2.0" is the hybrid button/scroll feature from Garmin Fenix. Fenix has an option to "pinch" opposing buttons for ~3 seconds to enable/disable the touch screen. Additionally, the touch screen can be used for (eg) scrolling a map around. To me, this is great as I _very rarely_ want to accidentally brush the screen (or have a toddler poking at it) and messing with things... but being able to "opt-in" to touch-screen under specific apps or circumstances is actually a really cool compromise!

Needless to say, I'm an insta-buy for Pebble, and very hopeful (especially since the O.S. is open source?!?!) that they'll steward us functionality-based watch nerds in the right direction!
It was based on FreeRTOS, but FreeRTOS at the time was extremely bare bones and only provided a preemptive scheduler, task management, and synchronization primitives. Everything else (memory management, I/O, ...) had to come either from whatever libc implementation was in use, or be built from scratch.
No, they aren’t publishing all their secret sauce. For example, we have no idea how their baseline model was trained. They’ve not said anything about the data or code relating to this training. They have talked about some of the optimization techniques they’ve used in arriving at their final models that they released weights for, but their claims on cost seem suspicious because we don’t know what prior work they built on. I’ve seen many people sharing evidence that DeepSeek’s models seem to think they are OpenAI models, which supports the theory that DeepSeek first built a baseline trained off the outputs of other models. DeepSeek also likely has a much larger number of GPUs than what they’ve admitted, perhaps to avoid attention on their suppliers who may have violated sanctions.
The original was Watchy: https://watchy.sqfmi.com/

Not only can you run anything you want on it but it supports the Arduino IDE and Micropython. I assume all of the Alibaba ones are based off of Watchy.
I was hoping for some simple option to put the minidv in a reader that would let me download its content to a mac. I don't a camera anymore and finding an old mac and camera is what I was trying to avoid.
"There is still no mechanism in GenAI that enforces deductive constraints (and compositionality), ie., situations where when one output (, input) is obtained the search space for future outputs is necessarily constrained (and where such constraints compose). Yet all the sales pitches about the future of AI require not merely encoding reliable logical relationships of this kind, but causal and intentional ones: ones where hypothetical necessary relationships can be imposed and then suspended; ones where such hypotheticals are given a ordering based on preference/desires; ones where the actions available to the machine, in conjunction with the state of its environment, lead to such hypothetical evaluations."

Everything you said in this paragraph is not just wrong, but it's practically criminal that you would go on the internet and spread such lied and FUD so confidently.
Nvidia Calls DeepSeek 'Excellent' AI Advance, Dismisses Concerns
this is why content moderation is a really bad idea. the false positives are going to dominate any moderation you do.
watch(es)? As in you've had to replace them regularly? Hopefully Pebble takes seriously the "sustainbly" part of their relaunch. What you're describing sounds like everything I wanna avoid
I get a week of battery time out of my Fitbit Charge 5 with really good sleep tracking as well as reasonable tracking of exercise including swimming and GPS tracked runs. The screen is really nice but not always on e-paper and I can't really program it, so I guess there's some space to improve but was the pebble really that much better?
the evidence is that facebook is blocking this content.
This. Even their less known work is pretty solid[1] ( used it the other day and was frankly kinda amazed at how well it performed under the circumstances ). Facebook/Meta sucks like most social madia does, but, not unlike Elon Musk, they are on the record of having some contributions to society as a whole.

[1]https://github.com/facebook/zstd
If "some buggy ML classifier" is allowed to make decisions that trigger broad enforcement, that classifier is, for all intents and purposes, a policy maker. The claim made by the article is somewhat broad relative to the evidence presented, but whether policy decisions are automated or not doesn't really matter.
Deepseek R1 paper that the blogpost is written around: https://arxiv.org/pdf/2501.12948
If this is your thing, you might also want to check out Christof Koch's Biophysics of Computation. Cable theory is introduced in one of the first few chapters.
I think we should hold ourselves to a higher standard than this. I don’t see why we couldn’t apply reasoning to this question just like any other.
If a full time job makes you feel like you’re wasting your life, you may never find happiness or solace in life without a winning lottery ticket.
The headline here is confusing, but this is an initiative in California that is now moving to the signature gathering phase that (if sufficient signatures are gathered) would place a ballot measure on the November 2025 election ballot.

That ballot measure, if passed, would enact a state statute which would (on its face) do two things:

(1) Create a commission to study and report on the viability of California as an independent state, and

(2) Place a measure on the November 2028 general election ballot that would ask if California should be an independent state (oddly, this second vote has a higher-than-normal 55% threshold despite having no legal effect other than registering public opinion for the record.)
How about LoRaWAN?
Genius concept.
The fact that the evidence doesn't exist doesn't imply the phenomenon doesn't exist?

Remind me, why gorillas and not chimps? Why chimps and not bonobos? Why assume that two related species with completely different environmental niches must share a social structure?
Yann LeCun also keeps distorting what open source is. Neither Llama nor DeepSeek are open source, and they never were. Releasing weights is not open source - that’s just releasing the final result. DeepSeek does use a more permissive license than Llama does. But they’re not open source because the community does not have the necessary pieces to reproduce their work from scratch.

Open source means we need to be able to reproduce what they’ve built - which means transparency on the training data, training source code, evaluation suites, etc. For example, what AI2 does with their OLMo model:

https://allenai.org/blog/olmo2
This reminds me of a time I lost an argument with John-David Dalton about cleaning up/minifying lodash as an npm dependency, because when including the readme and license for every sub-library, a lodash import came to ~2.5MB at the time. This also took a lot of seeking time for disks because there were so many individual files.

The conversation started and ended at the word cache.
Nvidia sheds almost $600B in market cap
Which watches currently use MiP LCD?
I find it a little hard to believe that people were earnestly confused and not just being pedantic.

Yes minidv/dv are digital, but they look like tapes and require something that can read them to get them on to a computer.
I backed a Pebble Time Round Gold on the last Kickstarter, which was cancelled when Pebble was acquired. Somehow the devices ended up on Amazon, and I snagged one there. It's a phenomenally stylish device.
Introducing Nous Psyche on Solana
Introducing Nous Psyche - a cooperative training network for generative AI, dedicated to the creation of open-source models using heterogenous compute.

Read more on Twitter: https://x.com/NousResearch/status/1883912370696704011

On our blog: https://nousresearch.com/nous-psyche/

On Github: https://github.com/PsycheFoundation/psyche
I'd love to see an effort like like this succeed in the Python ecosystem. Right now, PyPI is dependent upon Fastly to serve files, on the order of >1 petabyte per day. That's a truly massive in-kind donation, compared to the PSF's operating budget (only a few million dollars per year - far smaller than Linux or Mozilla).
Never heard of Basis Peak, but I've heard of Pebble for over 10 years.
Not quite.

(I run Linux headless servers, and keep 'AI' off those too, except my 'AI' code!)
Literally the best news I’ve ever seen in my entire life. Great job, looking forward to making some apps this time around!!
> Hot take but 99% of all profitable businesses have no moat, and there’s absolutely nothing wrong with that. You can still make lots of $$$.

Can you make $157b without a moat? Or, anything close to that? That's the more relevant question at hand.
I love my Apple watch because it does so well with tracking fitness stuff (particularly swimming) but it's a few years old now and is starting to get that laggy feeling interface that seems to be a hallmark of older Apple devices after they've gone through enough OS upgrades. I'm dreading the idea of spending a couple hundred bucks on another watch.

Are the sensors/fitness programs on Pebble on-par with apple watches?

I wonder if there's a way to migrate over my years of recorded data over.
Gotta be honest I feel like Garmin is the perfect balance of pebble vs apple watch
The R1 paper (https://arxiv.org/pdf/2501.12948) emphasizes their success with reinforcement learning without requiring any supervised data (unlike RLHF for example). They note that this works well for math and programming questions with verifiable answers.

What's totally unclear is what data they used for this reinforcement learning step. How many math problems of the right difficulty with well-defined labeled answers are available on the internet? (I see about 1,000 historical AIME questions, maybe another factor of 10 from other similar contests). Similarly, they mention LeetCode - it looks like there are around 3000 LeetCode questions online. Curious what others think - maybe the reinforcement learning step requires far less data than I would guess?
It will be assumed by the American policy establishment that this represents what the CCP doesn't consider important, meaning that they have even better stuff in store. It will also be assumed that this was timed to take a dump on Trump's announcement, like you said.

And it did a great job. Nvidia stock's sunk, and investors are going to be asking if it's really that smart to give American AI companies their money when the Chinese can do something similar for significantly less money.
As an "oversees" developer who was getting those 30% and paid almost no taxes for ten years -- thanks for your sacrifice. It was great money for that time and was wisely spent on enjoying life.
I'd assert that using private walled gardens as primary distribution channels is the root bad idea here.
Nice job, you should add it here: https://textual.textualize.io/#built-with-textual
I did a similar thing but with backend-heavy code, and I agree with this assessment:

> In particular, I asked ChatGPT to write a function by knowing precisely how I would have implemented it. This is crucial since without knowing the expected result and what every line does, I might end up with a wrong implementation.

In my eyes, it makes the whole idea of AI coding moot. If I need to explain every step in detail - and it does not "understand" what it's doing; I can virtually the statistical trial-and-error behind its action - then what's the point? I might as well write it all myself and be a bit more sure the code ends up how I like it.

link: https://www.linkedin.com/feed/update/urn:li:activity:7289241...
I think you are misreading my comment: they are the threat actor themselves, tricking users in believing they are better off via Proton.

SMTP does not encrypt messages and they arrive at Proton's inbound relays unencrypted, are scanned in plaintext for spam etc. At this point they can Bcc anything to another relay/account and keep a copy of all inbound messages BEFORE anything gets encrypted.

Access to historical messages? One line of code for logging, and let's not forget GPG does not encrypt the metadata which is readily available. How about FTS indexes, are they also decrypted on the fly in the browser?

Email is complex and not many have the patience to understand the monster behind, but lying about it, as Proton does - I find it just insulting to our profession.

Also "Swiss neutral", this is even more offending. Swiss execute US orders regularly.

Translated: https://daslamm-ch.translate.goog/ueberwachungsoase-statt-da...

Original: https://daslamm.ch/ueberwachungsoase-statt-datenschutzparadi...

What we really need instead of such shams is a new mail system that does not depend on trusting providers and especially not a SINGLE provider.
And by definition, Zuckerberg didn't start out as an "alpha", but decided to emulate one after he was already super-wealthy.
Well, better would have been investing in it and making it better. At least they didn't produce some awful spy on you thing that had nothing to do with p and called it pebble
lol image creating a beloved tech product, growing the company to the point where it gets acquired by a tech giant, and then waiting until they spit it back out so you can start it all again.

Congrats to Eric. This whole thing is so funny to me and I can't wait for my new Pebble.
Why don't all these new ~AI projects publish Dockerfiles and images?

I've been looking at several projects recently for subtitle, image generation, voice translation, any AI coding assistant, and none of them had a out of box support for containers. Instead authors prefer to write details install instructions, commands for Fedora, Ubuntu, Arch, notice to Debian developers about outdated python... Why is that?
You should have a look at he Garmin instinct 2x. They've nailed it.
We're creating a new life form.

And it's already conscious, learning everything about us as we speak.

The big question is what it learns and what choices it makes as a consequence.
It's like saying that a diesel engine is 6x more efficient than a steam engine, so the guys who spent time working on steam engines just wasted their time and money.

The thing is that the steam engine guys researched thermodynamics and developed the mechanics and tooling which allowed the diesel engine to be invented and built.

Also, for every breakthrough like DeepSeek which is highly publicized, there are dozens of fizzled attempts to explore new ideas which mostly go unnoticed. Are these wasted resources, too?
A lovely field trip to the morgue of Dead Internet theory!

"Nothing is real; everything is permitted."
I'm curious about this. Two articles I've read all but said they basically failed as a quant and lost more than they gained. The wiki points out some losses, but some wins, so is unclear.

Have they actually pivoted, or are they just messing around to see what sticks?
The vast majority of Nvidia's current value is tied to their dominance in AI hardware. That value could be threatened if LLMs could be trained and or ran efficiently using a CPU or a quantum chip. I don't understand enough about the capabilities of quantum computing to know if running or training a LLM would be possible using a quantum chip, but if it becomes possible, NVDA stock is unlikely to fair well (unless they are making the new chip).
Personally I'm very curious about the future of the Pro plan.
extra bonus -- actual attorneys who are familiar with those codes learn not to discuss it at all .. for whatever reasons.. it really is valuable information, as in scarcity
This is really unfortunate for the existing users, especially given their profound loyalty. However, more modern chips have all of this loaded in a bootloader of sorts (e.g. nRF softdevices), so the project could prevent the RF driver nonsense going forward.
From the article:

> Instead of ruling from above, he built a flat structure where decisions emerge from collaboration.

I've also seen the flip-side of this - where due to the fact that there is no established hierarchy, you spend inordinate amounts of time welding entirely disparate architectures together since every team was cowboy coding and doing their own thing.

Also anecdotally, I've never once experienced this Type-A prima donna alpha engineer but I've had absolutely zero interest in working for a FAANG. Every engineer I've ever worked with was pretty easy-going.
> grown by "alpha" leaders and staff.

Umm... isn't the whole point of an "alpha" to be the top-man... so how would there be more than one? That doesn't make any internally logical sense.

> An individual will likely be more productive in the environment best suited for them

Good premise, but you don't need the "alpha" theory to argue it.

> in determining if the "alpha" concept is a "more successful" model in business.

You do a really poor job of explaining what this even means, but it sounds bogus from your description. No offense intended.
It just means analogies are dangerous. Would be nice if we could determine if the effect actually applies to humans before introducing yet another.
I wouldn't be so quick to attribute the embellished biographies to AI. That's certainly a possibility, but it's also just as possible that these are humans going off of verbal/oral histories that morphed in the ongoing game of Telephone. Plenty of humans get things mixed up, after all.

Still, it's worth being vigilant about this sort of thing, AI or no - and LLMs are certainly increasing in the quality and quantity of bullshit they can produce. People give Wikipedia a lot of flack for being "editable by everyone", but the emphasis on providing actual citations for claims is an important one - to the point that I'll readily trust an "amateur"/"hobbyist" work that cites its sources over a "professional" work that doesn't.
I also think that vectorizers and compilers can detect parallel memory adds/moves/subs and without that, many do not take time to provide adequate hints to the compiler about it.

Some people have vectorized successfully with C, even with all the hacks/pointers/union/opaque business. It requires careful programming, for sure. The ffmpeg cases are super good examples of how compiler misses happen, and how to optimize for full throughput in those cases. Worth a look for all compiler engineers.
Indeed! Just ask DeepSeek something about Tiananmen or Taiwan. Answering seems to be an absolute "no-brainer" for it.
Garmin, Coros, Suunto and Polar all make fitness watches with MIP displays. Some of them sell a mixture of MIP and OLED models though, so check the specs. If you want extremely long battery life above all else then the Coros Pace 3 is a good starting point.
They are getting better at fact checking, Google apprently working on Googling the answer - Hassabis at Davos the other day: https://youtu.be/ICv03VysLaE?t=826