skysight-inc/HackerNews huggingface dataset:
Awesome! The first Pebble absolutely fascinated me by having a hackable, C-running watch on my wrist.

I vividly remember spending days fine tuning the heuristics of a simple step detection algorithm in the first watchface where I thought “seeing your daily step count next to time sure is awesome”. And later, tens of thousands of people thought so as well - this was one of the signs what the health-tracking wrist device is about to become.

It was incredible that even the first model allowed you to run a 30 samples per second accelerometer sampling and classifying the movement, 24/7, and still lasted days. No other watch offers a similar level of hackability.

And as the time progressed, Pebble became the first platform to get Weathergraph - my graphical weather watchface.

Weathergraph was then ported to Garmin (as Pebble shut down), and then to Apple Watch widget (as it became a capable platform with the introduction of standalone watch-apps in watchOS 6), and then to iOS app & widget, where it now lets me live a life of indie developer, after a serie of corporate design/PM/dev jobs.

Thank you for that, Eric & Pebble team.

I still keep the developer edition Pebble with my name printed on the back (great touch!) in my shelf and heart, and will always remember Jon Barlow, one of the best and most helpful developer advocates I ever encountered.

And kudos to the whole dev team. The watch and companion app was rock stable, always staying connected, the calendar always being in sync, watch apps installed quickly and reliably - the things that 10x larger companies struggled with for years were nailed here almost from day one.

Godspeed!

PS: What a mishap to shut the company down shortly after a release of Pebble 2. It nailed the experience of a lightweight watch, with the most contrasty BW reflective screen I have seen, and buttery smooth animations (while Garmin still renders menus in like 8-10 fps on their MIP screens 10 years later). So small and lightweight, I’d love everyone to try it on, and compare with 2024 smartwatches.
To each their own I guess.

The setup and teardown for the newer DJI drones is quite miniscule, IMO. Even for the Mini 3 it's no more than 2 minutes to set up. Usually I'll do it while we are just enjoying/taking in a sight. Most of our destinations involve hiking so it works perfectly with a break and some rest.

This shot, for example (00:02:04 mark) really captures the moment my wife and I were standing alone on this massive breakwater in a way that nothing else could: https://m.youtube.com/watch?v=eixbTpEeVwg&t=124

I don't know how I could otherwise capture the full experience of that moment and place in a photograph or on a handheld video device.
Yeah but NVIDIA's amazing digging technique that could only be accomplished with NVIDIA shovels is now irrelevant. Meaning there are more people selling shovels for the gold rush
I’m so happy and excited about this. Garmin has been serving well but I want Pebble, now!
Yeah but the second comment you see believes they are, and belief is truth when it comes to stock market gambling.
> I am frankly tired of seeing this kind of post on HN.

You've been here since 2016 and this is the kind of posting that finally gets to you? How in the world have you avoided all the shitposts in the last decade? What is your secret?
There's module graph pruning https://go.dev/ref/mod#graph-pruning
Ask HN: Can AI soon make the Linux desktop a first-rate user experience?
And more generally, can AI make open source software just as polished and full-featured as commercial software?
What do you mean? Pebble was dead before Google ever bought Fitbit.
Why mention it if you're not gonna link it?
I don't understand the excitement. It's just a watch.

Whatever you get at the end of this is probably going to be overpriced and underwhelming.
Centralized and diffused power are each vulnerable in their own ways -- diffused power to cults in particular. You'd generally expect people with more training to make better decisions than people with less training.

Regardless, morality in general is quite objective. In particular, it is objectively the case that letting some groups of people be called mentally ill while other similarly situated groups not is bad.

> Fact checking organizations proved themselves wildly left-biased

Meh. The only thing that matters is whether they're reflecting objective reality (including objective moral reality). There's no a priori reason to believe that each political tendency is equally attached to reality.
> there's no evidence yet that the deepseek architecture would even yield a substantially more performant model with more compute.

It's supposed to. There was an info that the longer length of 'thinking' makes o3 model better than o1. I.e. at least at inference compute power still matters.
What?

A rv64 port on a rv64 elf/linux (using the rv64 glibc) with the AMD mesa drivers. That will reveal where certainly a lot of work will have to be done, and that at all levels.

And better do that with many AAA games (the nasty and badly coded ones, probably many of them).

Better try to do that work before getting access to the latest silicon process.
It seems like we need an evaluation model for creativity. I'm curious, is there research on this -- for example, can one score a random painting and output how creative/good a given population is likely to find it?
The core of Khan's argument still stands, U.S. companies have been claiming they need astronomical resources ($7T in Altman's case) and massive GPU clusters (Meta targeting 600,000 H100s) while a smaller competitor demonstrated that better efficiency is possible, even if they built on existing work.

The article's argument isn't really about absolute costs, it's about how monopolistic practices led to inefficient resource utilization and reduced innovation pressure. Whether DeepSeek used existing model outputs or not, they still managed to create a competitive model with significantly fewer resources than what U.S. companies claim they need.

This is exactly the kind of technical discussion we should be having instead of dismissing DeepSeek's achievement outright or accepting the narrative that AI development requires unfathomable resources.
Propaganda means different things. Usually it comes leadership direction. ie Where I live every large corporation must start each meeting with thanks and acknowledgments to the native tribes that lived on this land at some point. If the meeting organizer does not do that they might get in trouble with HR.

Kinda hilarious when a 60 year old Russian lady tells these thanks to a room full of recent Indian and Chinese immigrants who have no conception of why any of this matters before proceeding with a 10 minute engineering meeting about pump capacity.
> Labels matter. Even a few words helped me know when-and-where something happened: “1955 Nova Scotia” or my grandfather’s name. One of the saddest experiences was looking at a family-gathering photo from the 50s with several people in it, and having no idea who’s in it.

Dear lord, yes. My in-laws have just boxes and boxes of photos, some going way back into the late 1800s. The old ones are mostly people and faces. But we have no idea who these people are. My in-laws think they are related to them, otherwise, why would they be kept? But not a clue who this person is.

It's terribly sad in a way. My spouse doesn't want to throw it all away, it's family history presumably, but we have no idea if it'll ever be a history we know.

And so they sit in an attic, waiting for some magical technology to rescue it.

Labels matter.
I really like vivomove looks but after buying lux as a gift for my wife I think I will steer clear. App was bad, syncing issues, she wore it for a while because she liked how it looks but I think she has not charged it in over a year because of how much the experience sucks compared to apple watch or even withings.

I have a withings scanwatch right now, the app is nice, ecosystem is nice - but accuracy is very underwhelming.

I would pay 1k for a watch that

- is hybrid with subtle watch aesthetic and minimal display/vibration for notifications

- has Apple watch level metric accuracy

- has week long battery life

- ideally would have replaceable battery but not a deal breaker if warranty is 3 years
Probably not. If the price of Nvidia is dropping, it's because investors see a world where Nvidia hardware is less valuable, probably because it will be used less.

You can't do the distill/magnify cycle like you do with alphago. LLM models have basically stalled in their base capabilities, pre training is basically over at this point, so the news arms race will be over marginal capability gains and (mostly) making them cheaper and cheaper.

But inference time scaling, right?

A weak model can pretend to be a stronger model if you let it cook for a long time. But right now it looks like models as strong as what we have aren't going to be very useful even if you let them run for a long, long time. Basic logic problems still tank o3 if they're not a kind that it's seen before.

Basically, there doesn't seem to be a use case for big data centers that run small models for long periods of time, they are in a danger zone of both not doing anything interesting and taking way too long to do it.

The AI war is going to turn into a price war, by my estimations. The models will be around as strong as the ones we have, perhaps with one more crank of quality. Then comes the empty, meaningless battle of just providing that service for as close to free as possible.

If Openai's agents panned out we might be having another conversation. But they didn't, and it wasn't even close.

This is probably it. There's not much left in the AI game
Ooof, no hardware schematics? Also missing datasheets? This projects seems like a very tall task to me without these fundamental missing pieces. Will Google release them soon or am I looking the the wrong place?
Whenever the internet tells you to buy, it's a huge warning that a pump and dump is occurring.
This really seems to me like a big warning that says to avoid hiring people that were laid off.

Better advice. Be who you are. Work for and with people you like. Do what interests you where you are valued. You will spend a lot of time at work. Try to make sure it feels good.
It is so boring at this point.

If you want to learn about Tiananmen Square then try reading the book Deng Xiaoping and the Transformation of China by Ezra F. Vogel and Eric Jason Martin.

Amazing book.

Of course, I imagine the people asking this really don't care about Tienanmen Square or China anyway.

It is really someone just being an obnoxious child.
Jevon's paradox would imply that there's good reason to think that demand for shovels will increase. AI doesn't seem to be one of those things where society as a whole will say, "we have enough of that; we don't need any more".

(Many individual people are already saying that, but they aren't the people buying the GPUs for this in the first place. Steam engines weren't universally popular either when they were introduced to society.)
The vast majority of NVDA's value is based on the assumption they are the only game in town that can do AI. I'm still waiting for a competing tech to disrupt them further:

* Intel, AMD, etc. could start making competitive GPUs that push the price down

* A new ASIC chip specifically designed for LLMs

* A new training or LLM runtime algorithm that uses the CPU

* Quantum chip that can train or run a LLM

If Nvidia lost its AI dominance, where would its stock be?
good time to buy
> It's supposed to. There was an info that the longer length of 'thinking' makes o3 model better than o1. I.e. at least at inference compute power still matters.

compute matters, but performance doesn't scale with compute from what I've heard about o3 vs o1.

you shouldn't take my word for it - go on the leaderboards and look at the top models from now, and then the top models from 2023 and look at the compute involved for both. there's obviously a huge increase, but it isn't proportional
Only when a set of mainstream elf/linux distros will be massively pre-installed on sold computers.

Look at android linux... it showed how to do it: get massilely installed and be the default.
Please tell me if I am wrong. I know very little details and heard a few headlines and my hasty conclusion is that this development clearly shows the exponential nature of AI development in terms of how people are able to piggyback from the resources, time and money of the previous iteration. They used the output from chatgpt as the input to their model. Is this true, more or less accurate or off base?
wouldn't that be outsider trading ?
circle packing feels slightly different problem, especially as it doesn't tend to have any obvious algorithmic solutions available; circle packing produces irregular packings which I'm not sure I'd call super uniform

btw what are the colors indicating on that page? its missing a legend and its not immediately obvious to me.
Embedded ecosystem != RTOS
Primary contributor to the feature here.

We went back on forth on this a lot, but it boiled down to wanting only one dependency graph per module instead of two. This simplifies things like security scanners, and other workflows that analyze your dependencies.

A `// tool` comment would be a nice addition, it's probably not impossible to add, but the code is quite fiddly.

Luckily for library authors, although it does impact version selection for projects who use your module; those projects do not get `// indirect` lines in their go.mod because those packages are not required when building their module.
Show HN: I made an AI language tutor that teaches through immersive video calls
Hi! I created a platform that lets you have real video call lessons with an AI teacher that's available 24/7.

What do you think?

What should I improve?

www.kylian.ai

What we offer:

- Full video conferencing: see and speak with your AI tutor in a natural setting

- Structured lessons with clear objectives and progression

- Interactive whiteboard for visual explanations

- Real-time translations and grammar feedback

- Cultural insights integrated into conversations

- Progress tracking to monitor your improvement

- Practice exercises and scenarios

- Customizable lesson content

What makes us different:

- Video call format feels more like a real classroom/tutoring session

- Complete lesson structure (not just conversation practice)

- Visual teaching tools (whiteboard, lesson overlays)

- Track your learning journey

- Practice real-world scenarios

What we're working on:

- More interactive scenario types

- Additional cultural content

- Expanded lesson library

- More customization options

- Enhanced progress analytics

- Call recording

I've been developing this to make language learning more engaging and structured than just chat interfaces.

Would love your feedback, please!

Thanks!

Ernest
I had two (an OG kickstarter pebble, and the steel), and also suffered screen death. The battery life was incredible, but I don’t know that I could give up the standalone features that the apple watch ultra 2 has. On-device Siri, tap to pay, calling without the phone nearby.. I hate the digital crown though, and it could use a proper torch like the Garmin watches have, so it’s far from perfect.
Exactly. Everything is massive kindle for a wildfire and it comes to show how tiny of a spark it takes. Yet - people keep adding more kindle.
> We're long past shortages of COVID.

There were no shortages during COVID. Only a bunch of panicked buyers clogging the smooth running supply chains. Prices had to rise to quell the behavior or the whole system would collapse.

What happened afterwards is massive inflation from the federal government printing enormous amounts of money into existence, so as the supply chain caught up, prices had to stay high to keep companies afloat after their costs rose.
Brilliant.

I have fought the "lowest cognitive load" code-style fight forever at my current gig, and I just keep losing to the "watch this!" fancytowne code that mids love to merge in. They DO outnumber me, so... fair deuce I suppose.

There is value in code being readable by Juniors and LLMs -- hell, this Senior doesn't want to spend time figuring out your decorators, needless abstractions and syntax masturbation. I just want to fix a bug and get on with my day.
I am glad I saw this coming and profited nicely.
They fixed that. Now it replies: "Hi! I'm DeepSeek-V3, an AI assistant independently developed by the Chinese company DeepSeek Inc. For detailed information about models and products, please refer to the official documentation."
Do we know which changes made DeepSeek V3 so much faster and better at training than other models? DeepSeek R1's performances seem to be highly related to V3 being a very good model to start with.

I went through the paper and I understood they made these improvements compared to "regular" MoE models:

1. Latent Multi-head Attention. If I understand correctly, they were able to do some caching on the attention computation. This one is still a little bit confusing to me;

2. New MoE architecture with one shared expert and a large number of small routed experts (256 total, but 8 in use in the same token inference). This was already used in DeepSeek v2;

3. Better load balancing of the training of experts. During training, they add bias or "bonus" value to experts that are less used, to make them more likely to be selected in the future training steps;

4. They added a few smaller transformer layers to predict not only the first next token, but a few additional tokens. Their training error/loss function then uses all these predicted tokens as input, not only the first one. This is supposed to improve the transformer capabilities in predicting sequences of tokens;

5. They are using FP8 instead of FP16 when it does not impact accuracy.

It's not clear to me which changes are the most important, but my guess would be that 4) is a critical improvement.

1), 2), 3) and 5) could explain why their model trains faster by some small factor (+/- 2x), but neither the 10x advertised boost nor how is performs greatly better than models with way more activated parameters (e.g. llama 3).
How do you account for the impact of culture/lived experience of the specific population viewing the painting? Intuitively it seems like that would be the biggest factor, rather than the objective attributes of the painting, no?
That doesn't follow? If you replaced every call of memcpy with memmove (to use an example from the standard library), then your program is no less correct than it was before (and possibly more). The converse is that adding "restrict" qualifiers to existing functions can only make your program less correct, not more.
I doubt there is a service that bundles a bunch of API access for one subscription fee and works with vim. But there are a few plugins that provide cursor like functionality and let you bring your own API key. Avante and code-companion are the most widely used ones. Magenta.nvim looks promising.
Good for them, but also, what a colossal waste. Fitbit brought Pebble, Google brought Fitbit. They had everything to make a better version of a product that people _loved_, that _I_ loved. And what had them done? Nothing but a blatant display of anticompetitive power. (Yes I am still mad, 8 years later)
i am gp, i don't retain hn accounts.

i can promise this is the full 671b model running on H200s with no safety model. it is indeed an "online" version, but it is one i operate.
I really enjoyed my Pebble for waking up in the morning (vibration feels much softer to me than a loud alarm) and media control, e.g. while showering. The display read well passively, and I only had to charge it every couple of days.

The only experience that came close were hybrid smartwatches (analog, but with vibrations, 3 programmable buttons and the pointers could move to indicate apps). Longer battery life, but very closed off (can't sync alarms from external sources) and the phone bridge stopped working after some time.
It’s the fact that it’s the same thing over and over. The 100th case of “Well I had a bad experience using LLM for coding!” is not interesting.
What is new since last time is AI. Can Pebble act as interface here? Or would that be the wrong fit and its niche should remain the same?
This project is started by a pebble founder, doesn’t seem like too tall of a task to me
I remember as a kid listening to adults talk about gender relations and thinking, you guys are talking about cattle and dogs.
I think Nozick's example is meant to make us re-think whether there is a strict separation between music (or other artistic) reputation and love of reputation.

In Anarchy, State and Utopia, he tackles some utopian theorists' claim that, if equality prevails, everyone will rise up to the level of the greatest writers and artists. Would people be content then? Or will they still want to vie for "eyeballs"? If the latter, should we just admit that there is just a deep-seated human desire to compete for dominance?

For what it is worth, I've written up my reflections on skimming Anarchy, State and Utopia here: https://books-blog.3willows.xyz/posts/2024-10-26-anarchy-sta...
Okay maybe they do too, with TikTok. But still.
For upscaling, sure. For downscaling it has a tendency to both amplify and distort (rather than preserve) detail and sharpness, "imagining" detail that never existed, leaving you with a worse result. Bicubic and sometimes even bilinear does a better job, truer to the original, when you're scaling down.
> Was open-sourcing Linux a cynical, offensive move to devalue commercial Unix (a scheme hatched by duplicitous Finns)?

No, but the same sort of people certainly told us that we were :-)

Cf. the whole "the GPL is viral and will kill the industry" spiel we got to hear for years.
Have you read his book Hands-On Large Language Models?

Looks interesting, but I'm skeptical that a book can feasibly stay up to date with the speed of development.
Here's the bill I want to see passed: No more pay raises, ever, for members of congress and the executives in the executive branch. If they want a pay raise, they can lower the country's inflation rate to increase their purchasing power.
If a smartwatch requires anger management classes in order to use successfully, that might indicate something about the watch. :P
Benchmark performance - better models are actually great for Nvidia's bottom line, since the company is relying on the advancement of AI as a whole.

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. It's pretty much a guarantee that both companies are losing money. Looking at DeepSeek's published models the inference cost is in the same ballpark as Llama and the rest.

Which leaves training, and that's what all the speculation is about. The CEO said that the model cost $5.5M and that's what the entire world is clinging on. We have literally no other info and no way to verify it (for now, until efforts to replicate it start to show results).
... that and it needs to be ratified by 3/4 of the state legislatures!

See the story of the https://en.wikipedia.org/wiki/Equal_Rights_Amendment which led a lot of people to think the nation is so polarized that we could never get another constitutional amendments. (Some parents of my friends were hoping in the 1980s to get one to ban abortion and... yeah right!)

But then there was the amazing story of the 27th https://constitutioncenter.org/the-constitution/amendments/a...
That depends on how whether the demand increase multiplier due to the lower cost per result is lower or higher that the efficiency increase multiplier. It can be either in general.
IIUC, the plan is to manufacture something completely new that runs Pebble OS. It seems likely that at least one chip they used in the original pebble is no longer available in large quantities.