skysight-inc/HackerNews huggingface dataset:
That’s basically what the Pebble Time Round was, and it was phenomenal!
The other thing Google has, and maybe Meta, is good monetization technology. I'm not sure how monetization of AI will work but I can see if you ask about flights say it'll link to Google's holiday booking stuff etc.
The notifications aren't great, and the non-e-ink screen is a bit annoying. Also the low amount of physical buttons.

But as someone who bought an OG Pebble and now has a Vivoactive 3, I think the fitness features are too nice to switch back fully to Pebble. Although I'll be very glad to see Pebble back!
Something Western culture is unusually squeamish about for both good and bad reasons. I think the Chinese attitude is more culturally generic.
This may just be me, but having just finished a large family archival project of my own, this sort of video is exactly the sort I wouldn't have included.

The simpler, more candid, more off-the-cuff images and videos were gold. A drone by definition has setup and teardown time and is impossible to ignore for those being photographed.

Ethically, drones also break Kant's universalizability principle.
sunk cost fallacy / tunnel vision of their existing approaches.
I can't speak to the encryption or privacy aspects of this, but I can say that this is an important step to keep Signal competitive with Whatsapp, and help encourage people not to upload their unencrypted backups to cloud providers.
As icky as this real-world event is, it reminds of the far-more-charming newspapers in Simcity 2000, with mad-lib reporting loosely based on city statistics.

http://www.carbon-izer.com/simpaper/simpaper.html
I'm glad. For a decade I felt like an outsider because all I want is a very simple wearable device that doesn't require charging more than once a month and can display simple notifications from my phone, and the time.

I loved the Pebble Time. After that I went over to Fossil Hybrid, which is pretty decent actually. I'm sure the app steals everything it can but at least the device works.
Yes, English text in pretraining will necessarily have similar distribution. But when it comes to alignment, distributions will be different, since that data is typically not shared. The metapoint is - it is not realistic to expect completely uncensored models. Not in the East, nor in the West. The best you can do is use critical thinking when consulting both.
> They want to argue with a machine about political issues or try to gossip with a llm

This perspective exhibits an extremely limited imagination. Perhaps I am using LLMs to populate my calendar from meeting minutes. Should the system choke on events adjacent to sensative political subjects? Will the LLM chuck the whole meeting if one person mentions Tiananmen, or perhaps something even more subtly transgressive of CCP's ideological position?

Any serious application risks running afoul of an invisible, unaccountable censor. Pre-emptive evasion of this censor will produce a chilling effect in which we anticipate the CCP's ideological priorities and habitually accommodate them. Essentially, we would be brainwashing ourselves.

Such was it like under Soviet occupation, as well. And such is it like under NSA surveillance. A chilling effect is devastating to the rights of the individual.
Are the companies running the various AI systems going to release all of their source code and internal research to benefit society too?
Yes but in proprietary research you've got fewer peers to bounce ideas off of, and you've got extra constraints to deal with re: coming up with something that's useful in tandem with whatever other proprietary bits are in your stack.

All that cloak and dagger stuff comes at a cost, so it's only worth paying if you think you can maintain your lead while continuing to pay it. If the open source community is able to move faster because they are more focused on results than you are, you might as well drop the charade and run with them.

It's not clear that that's what will happen here, but it's at least plausible.
Kids have to write essays with pencil and paper now. Of course they have to write in print because they stopped teaching cursive a decade ago.

No I'm not joking.
The Illustrated DeepSeek-R1
It's also worth noting that they're claiming a high perf/GHz, not a high perf. It's easy to shrink a chip by using slower but more compact libraries that don't increase gate size as much for larger fanout at the cost of a lower maximum frequency, like AMD's compact cores do. And lowering clock speeds mean that your main memory latency, measured in clock cycles, goes down increasing perf/GHz too.
That one happened because Gemini read it on Reddit and hadn't figured it was a joke. It was only up there from its launch through till about four days later when someone removed it.
This is just a machine trained by humans. What you expected that? Do you think it teaches you a way to commit crime or something else? Do you think you can talk freely about everything in here? Will they allow that? Your nonsense question is about politics or gossiping with a machine, not people's problems, and no one cares.
But it sounds like, from that quoted statement, that LeCun from Meta thinks “open sourced work” is why China was able to surpass (or at least compete with) American AIs. Which sounds like a lame excuse for Meta.
Not for consumers and non-bank businesses it isn't. You don't have an account at the fed. You have an account at plain old commercial bank. Someone at the plain old commercial bank can freeze your money, right now. You'll have to sue, go to court, win, just to get access to your money.

If the fed becomes the place you have an account, they can do what the commercial bank currently can do.

The difference is incentives - why do it? Commercial banks have no incentive, and in fact have the incentive to push back when asked.

As for the president - sure - generally speaking the fed is independent. But they have significant regulatory and supervisory roles all by themselves, and are part of the administration of the government even if they aren't "part of the administration" as the term is usually used in the US.
>The people writing market commentary are simply making it up.

Everyone except for you, right?
Yeah, that's why I said I have no idea why that is. I'm sure it's not caused by Rails but rather some kind of secondary associative reason. (ie, rails devs leave and they have a hard time replacing with seniors or something). Coming from a Python background I find it weird. But it's definitely a thing.
This really made my day!
Imagine if Microsoft invested $8B in Bitcoin instead of in OpenAI.

Their stock would be worth a lot more today. That’s just a fact at this point, by the numbers.

Now they have to mark down their speculative investment. But of course OpenAI was way more on-brand for MS, and they had to lead the hype, being the kind of company they were, at the time it made sense from an optics point of view.

I have been comparing the AI hype bubble to the Web3 hype bubble since the beginning, but most of HN likes AI far more and doesn’t want to accept the similarities.

To me, the main factor is that people can opt out of Web3 and can only lose what they put in. But with AI, you can lose your job and your entire life can change regardless of whether you participate — and you can’t opt out! To me, the negatives of AI therefore greatly dominate the negatives of Web3, which is limited to people voluntarily investing in things. The negatives of AI even include a 20% chance of humanity’s extinction according to most of the very AI experts who built it and the AIs themselves.

And yet global competition makes it nearly impossible to achieve the kind of coordination that was sometimes achieved in eg banning chemical weapons, or CFCs globally.

Given this, why are so many rational people on HN much more bullish on AI than Web3? Because they consider and compare the upsides only. But the upsides might not matter if any of the downsides come to pass. Everyone having swarms of AI agents means vanishingly small chance that “bad guys” won’t do terrible stuff at scale (that I don’t want to mention here). By contrast, if everyone has a crypto wallet and smart contracts, the danger isn’t even in the same stratosphere.
Well, part of the reason that this writeup doesn't mention the brain is that the author is ignorant of precise details of how the brain works, and chose not to speculate :) Which is exactly why these papers are such a useful reading list. Cheers!

It's fascinating that we have had so many attempts to add memories to NNs, but it was the end-to-end-learned one based on textual context that eventually drove us to models that have emergent reasoning abilities.

RNNs basically have a memory, in the form of their hidden state, but it's been hard to train them efficiently in parallel. There may be a better way though, if we can.
> Then at the stoke of 5pm, as we permies were discussing which pub to move on to, the contractor stood up, mumbled his thanks, and left. Billable hours over for the day.

Or, maybe, had better things to do. :)
You can do whatever you want with your own accounts. I don't have anything like an "accounts receivable" in mine.
The abuse of the captive wolves research factoid is officially run into the ground. We now blame it for the whole organisation of humanity. I thought bashing online communities for using “alpha” was inadequate, but that takes the cake.
I also feel the same. I like the way sonnet answers and writes code, and I think I liked qwen 2.5 coder because it reminded me of sonnet (I highly suspect it was trained on sonnet's output). Moreover, having worked with sonnet for several months, i have system prompts for specific languages/uses that help produce the output I want and work well with it, eg i can get it produce functions together with unit tests and examples written in a way very similar to what I would have written, which helps a lot understand and debug the code more easily (because doing manual changes I find inevitable in general). It is not easy to get to use o1/r1 then when their guidelines is to avoid doing exactly this kind of thing (system prompts, examples etc). And this is something that matches my limited experience with them, plus going back and forth to fix details is painful (in this i actually like zed's approach where you are able to edit their outputs directly).

Maybe a way to use them would be to pair them with a second model like aider does, i could see r1 producing something and then a second model work starting from their output, or maybe with more control over when it thinks and when not.

I believe these models must be pretty useful for some kinds of stuff different from how i use sonnet right now.
Sign away IP. You have a NextJS app. It's not worth anything there. But you did build the MVP for free (I'm assuming you didn't bill him) which is worth something.

Given that you won't be doing anything else after August. Ask for 10-20% instantly vested, or a combination of instant and scheduled. And, he has the right to buy you out in X amount of time at Y valuation i.e. 3x TTM sales.

So if the business were at $1 million sales in 2 years, he/his investors have the option to buy out your 10% for $300k. For example.

Don't do profit sharing on a pre-rev company. Pulling money out of small software company that's just getting started hurts both your interests.
Tested with "DeepSeek R1" 671B through the Fireworks provider (not DeepSeek themselves).

Same behavior "I am sorry, I cannot answer that question. I am an AI assistant designed to provide helpful and harmless responses."
That's okay because everyone just calls it twitter anyway. there will be kids on twitter, calling it twitter, who were never alive when it was still named twitter
But there is a big difference, llama is still way behind chatgpt and one of the key reasons to open source it could have been to use open source community to catch up with chatgpt. Deepseek on contrary is already at par with chatgpt.
> I would have loved the e-ink concept continuously iterated.

I'm probably gonna sound like a broken record in this thread but the Pebble never used e-ink, it used a MIP LCD, and MIP never went away. Lots of sports watches use the exact same display technology from the exact same supplier (Sharp) to this day.
Maybe not all households, but some. And schools bear more than a passing resemblance to prisons.
Earlier: https://news.ycombinator.com/item?id=42615633
Reuters changed the original title.

You can see the original in the url
"/chinese-ai-startup-deepseek-overtakes-chatgpt-apple-app-store-2025-01-27/"

News sites try multiple headlines and settle for the one that gets most clicks.
Just curious, I'm not good with C. Here in the code, https://github.com/google/pebble/blob/main/src/libc/alloca.c...

From what I googled, this is just for stack allocation in gcc. Does that mean Pebble only has stack allocation?
"since the result will be not as performant as what they can do with C" -- This isn't the main reason, but it's also not really true. Paradigm changes don't imply "less performance". To the extent programmers believe, herd-like, "C is fast therefore my program will be fast", they are almost always wrong.

A lot of programmers resist learning anything new, for various reasons, but most charitably because they are never exposed to new ideas or paradigms.
I agree that N=3 (and also N=2 for that matter) could be distributed better.

EDIT: but for large N these things probably don’t matter that much. And I guess that’s the application in the end.
I'll give you a couple of examples I've been involved with:

1. I was applying for a job at Company A and I had a former co-worker working there. I think it was down to me and 2 other people and the manager asked my former co-worker about me and I believe his feedback tipped the scales in my favor.

2. Same situation as above but in this case it was my feedback. A different former co-worker was applying for a job at Company A(now that I was working there) and the manager hiring asked both me and my former and now present co-worker about the candidate as it was between him and another person.

3. A former manager straight up offered me a position at his new job because I'd be a good fit for the role as they were building exactly what I had done before. I turned him down(nicely) as I had stepped away from that particular type of work.

4. I've given negative feedback on a candidate that I'd worked with that was interviewing for an open role but it wasn't just me. All 3 of us including co-workers from (1) and (2) above had previously worked with the candidate and we didn't think he'd be a good fit for our org but it was ultimately up the manager of the team that was hiring to make the decision.

Granted I'm at a smaller company but these "network placed" jobs do happen. Sometimes it's just tipping the scales and sometimes it's a straight up job and sometimes it could be the reason you didn't get the job.
Does this mean things have worked out with Beeper? What will happen with that? I noticed development seemed to have stopped. It's nothing like it was before.
I TL;DR-ed it here in the edits of the root post above.
I loved my Pebble al the way up to when the first Apple Watch came out. Yes, the battery life is nowhere near as good but the integration into the OS was way better and they have steadily added health features that I appreciate (fall detection, afib, etc). Maybe the Pebble could match some/all of that but I have my doubts. It was a great little device but longer battery life is just not that compelling to me.

I mean sure, if you offer me hours/days more of battery I'm not going to turn it down but for me (and my lifestyle, which is not yours, I get that) I don't need more than ~16hrs. Anything longer than that just helps "catch" me if I forget to charge. And that right there gets to the crux of why >24hr batteries rarely matter to me. The only battery charging processes that work for me are either:

* Every day

* Only when it's dead or I know I'm about to use it

With my Pebble I would regularly find it dead because I lost track of how many days it had been since I charged it and I'd have to charge it at an inconvenient time. I fixed this by just charging every night. So since I'm already in that habit, a longer battery doesn't do much for me. And in case you were wondering what types of things fall in the second category for me, it's things like USB battery packs, flashlights, smart house sensors that aren't wired, Airtags, etc.
Tested with "DeepSeek R1" 671B through the Fireworks provider (not DeepSeek themselves).
Same behavior "I am sorry, I cannot answer that question. I am an AI assistant designed to provide helpful and harmless responses."
We are building machines that can do work and create content, and they are getting better every three months. This year's focus will be on making them work on tasks entirely autonomously (e.g. "agentic"). It has already impacted jobs in fields where the quality of output is sufficient to replace workers.

Life is going to come at you fast if you think it's going to be relegated to an assistant forevermore.
Has anyone asked it yet what happened on Tiananmen Square in 1989?
Just about anything useful in the secret sauce data can be distilled from the model by inspecting the logits; for example, they published distills using Llama 3.1 70b as a base, Qwen 32b, etc etc.

There is no "secret" sauce. Only sauce.

Additionally, R1-Zero shows that you don't even really need much secret sauce data, since they trained it with zero SFT data. Take an existing base model, do GRPO RL, and tada: you have a SOTA reasoning model. SFT data improves it, but the secret sauce isn't in the data.
Fair enough!

I was positive that some of the hype and/or marketing around it called e-ink but it looks like either my recollection is bad, or the hype was wrong.
Hackers are targeting machine identities;Token Security raised $20M to stop them
I love the animation when you click "No" on "Do you want a new Pebble?". So extra.
High school is more complex as there is a life outside it where other dynamics can be observed. At least that's what I noticed and it made me realize that the popularity contest in high school was a farce.
Pebble were always careful to use the generic term "e-paper", which some people assumed to be the same thing as e-ink, but it's a different technology. Besides, e-ink is actually a trademark so they couldn't call it that anyway.

E-inks claim to fame is using zero power when static, but it has very sluggish pixel response times, while MIP LCDs use very little (but not zero) power when static and have fast pixel response times when dynamic.
No JMAP huh.
Ideology doesn't have to be 100% true to be effective. Goes all the way back to Plato's idea of the "noble lie".
It feels like they deliberately sat on it until it's almost completely dead.
Will you have nice looking ones? or will they all be "sporty/plastic" types?
It might not be cheap to develop them but if you can save $10B in hardware costs by doing so you're probably looking at positive ROI.
Hmm, maybe we can come at this from the other angle. We can't have small phones because bigger is always better, right? So how about a HUGE 5" screen smartwatch that just happens to be a perfectly functional standalone phone if you discard the wristband?? Instant best seller!
Pebble went bankrupt because no one bought their products. Their assets were acquired by Fitbit. Fitbit did not continue to produce the Pebble products for which there was very limited demand. Google then later acquired Fitbit.
I noticed my mouth had been hanging agape for a while while reading this. This is huge news. I feel like Pebble is the smartwatch that got it right the first time. So many smartwatches try to replace the phone instead of being an extension of the phone. Pebble seemed to better understand what is important than most smartwatches by being the extension of the phone, a focus on battery life and always on displays.
DeepSeek probably can't compete with Open Ai in terms of scaling their data centers due to the bans, so why bother?

If they did not open source it and instead just launched a payed (albeit much cheaper) closed model with similar performance to O1, would people trust them?

I don't think DeepSeek has any malicious intent, but boy oh boy am I glad the USA boys get wrekt by this (though I also lose money on stocks).

This is just poetic justice for the Orange Man's backwards 17th century policies.
If DeepSeek is side/pet project for PRC quants whose fine with subsisting on low markup then that's market price competitors have to calibrate return on investment and future capex. DeepSeek also appear open and performative enough to drive cheaper inference on commodity hardware with very different margins for variety of use cases, including existing hardware. At least short term there's going to be % of LLM use cases that has to compete on China prices or previously considered depreciated hardware. IMO snowballing interests undoubtly getting investors to pay attention and deep dive to related developments, i.e. Bank of China's 1T AI fund, and DeepSeek CEO just met PRC premiere a few days ago. AFAIK DeepSeek hasn't ever gotten this much domestic political attention before, they're potentially going to be elevated as domestic champion and it's likely to open a lot of more doors, i.e. significantly more compute. Hard to tell how that will effect western models business models short term.
So cool that you were able to make this happen. I backed Pebble on Kickstarter in 2012 and no smartwatch has ever really appealed to me since then.

The screen on my original Pebble died a long time ago and I've always wondered whether I should try to bring it back to life. Perhaps now is the time!
Why Social Media Has Captured Our Attention and How We'll Get It Back with LLMs
I've pondered alpha male theory for a 5 years before having a solid conclusion before or against it. I rejected it. But yea, I really was that socially clueless, it took me 5 years as a late teen of observing and thinking about it to understand that life is more complicated than that and that the idea of alpha males is ridiculous, especially since I saw strong evidence on the contrary (i.e. "beta behaviors" and still having an amazing dating life, etc.).
I appreciated a point I saw a few months ago about how the wolf-derived alpha/beta/etc stuff is a safe way for cis men to experiment with gender identity without risking being labeled queer by other men and having to confront harassment.
I’m wearing my Pebble Time Steel right now and the biggest issue I have with it (maintaining the app) is arguably mostly Apple’s fault.

I was originally pissed that Pebble never sold replacement parts (actually I still am), but at least this hardware has been holding up extremely well.
I'm not sure if Stephen is on HN, but I asked him this question last week[1]. His response was that since the songs are different lengths, a file that was truly loop-able would be super long (if you have a 90 second song and a 2 minute song, you need 6 minutes of audio to create a file that perfectly loops both of them)

Seems like there is probably some set of clever hacks here that could get you around this (although I don't know enough about radio to propose any); I think I asked about pre-computing some state for each song on its own and he had a good response to why that either didn't work or didn't help much, but unfortunately I don't remember it!

[1] we are both currently at the Recurse Center / https://recurse.com
I always thought AMZN is the winner since I looked into Bedrock. When I saw Claude on there it added a fuck yeah, and now the best models being open just takes it to another level.

AMZN: no horse picked, we host anything

MSFT: Open AI

GOOGLE: Google AI

AMZN is in the strongest position.