skysight-inc/HackerNews huggingface dataset:
Most of this is offset by the godawful mouse acceleration profile MacOS uses by default. Many external mice, even with the sensitivity turned up to max, will not respond to small wrist movements at all and instead require disabled acceleration curves or more exaggerated mouse movements.

Those curves work fine for the Magic Trackpad, but they should not come default for any desktop Macs that use mice as their primary input.
If you can get as good a signal on someone's performance in 5 hours of interviews as you can in five months of working with them, either you are a genius or you are not paying attention at work.

I have a guess as to which it is.
What makes "open source" DeepSeek fundamentally different that is a marvel that it surpassed proprietary models?
There's not much actual LLM-generated text in this post to go by, but it seems like each of the tokens generated by the LLM would be reasonable to have high probability. It sounds like the developer here thought that the sequence of tokens then carried meaning, where instead any possible meaning came from the reading. I wonder if this developer would be as irritated by the inaccuracies if they had cast sticks onto the ground to manage their stock portfolio and found the prophecy's "meaning" to be plausible but inaccurate.
Such consequences might be undesired, but hardly unanticipated or surprising. Not to the smart folks who came up with LLMs.

(A lot of what we're having around us now has been anticipated by sci-fi, but earlier sci-fi largely failed to predict the internet, so we have fewer predictions about such stuff. Lem's "Futurological Congress" could be seen as a weird anticipation of a deeply faked world.)
In a great example of the Pareto Principle (80/20), or actually even more extreme, let's only apply this Zopfli optimization if the package download total is equal or more than 1GiB (from the Weekly Traffic in GiB column of the Top 5000 Weekly by Traffic tab of the Google Sheets file from the reddit post).

For reference, total bandwidth used by all 5000 packages is 4_752_397 GiB.

Packages >= 1GiB bandwidth/week - That turns out to be 437 packages (there's a header row, so it's rows 2-438) which uses 4_205_510 GiB.

So 88% of the top 5000 bandwidth is consumed by downloading the top 8.7% (437) packages.

5% is about 210 TiB.

Limiting to the top 100 packages by bandwidth results in 3_217_584 GiB, which is 68% of total bandwidth used by 2% of the total packages.

5% is about 161 TiB.
Hmm, interesting. Is this still the case if the rejection factor is known explicitly (as it would be here)?
> AI isn’t a co-pilot; it’s a junior dev faking competence. Trust it at your own risk.

This is a good take that tracks with my (heavy) usage of LLMs for coding. Leveraging productive-but-often-misguided junior devs is a skill every dev should actively cultivate!
no, but xbox prereleases.
(not OP) some ideas: make the <pre>'s not go all the way to out the edge of the window. Make the diff colors and code colors less dramatically different from its surroundings. Increase the contrast of the default text. Use blue for links. Drop the orange
Are you sure? Looking here, it seems the law is minimum 25mbps: https://www.acma.gov.au/sip-rules-and-obligations
The junior dev faking competence is useful but needs a lot of supervision (unlike a real junior dev we don't know if this one will get better).
Perhaps not in the sense of weak vs strong, but rather in weak vs powerful. C type system isn't very powerful, if you compare it to languages from the scientific community (Python is an exception here imho). It is simple and probably good enough for what it was designed for (system programming), but it's not very good for scientific computing.
And "record profits" were actually less than previous year's profits + inflation.
> Alas, maybe the whole thing was over once Apple, and Samsung got their marketing wheels spinning.

Totally possible, like Nokia vs the iPhone. Difficult to say for sure though, seeing vendors like Fitbit and Garmin still operate in the same space.
It's just a joke I think. But yeah linking to the pixel watch would have been nicer.
In the days of 56kbps internet days in India, there was a BBS (run by a cabal of sorts) who would download a linux distro CD and mail you a disk.

The email would have a link to the original .torrent and if a part of a disk was somehow corrupted, you could download just that chunk via BitTorrent instead of redownloading the whole thing or waiting for a new disk out.

Independently sourced checksums fixes most of the trust issues and a block-by-block checksum like what torrents had would allow for repair as well.
Putting too much thought into the statement Meta's chief AI scientist made about how the new AI innovation is actually because of Meta is probably not going to be fruitful.
What would Occam says about this though?
I'm a little confused at the moving pieces here. We have RePebble, Rebble, and PebbleOS. PebbleOS is the easy one. OS recently opened by Google.

But how are RePebble and Rebble related? Are they the same thing? Is Rebble making hardware as well as RePebble, or are they the same effort? Is RePebble also open source and community owned like Rebble?
ASML warned that it was just a question of time for the Chinese to get their own tech industry up and running.
The Americans were in denial.

Ultimately someone in America will get desperate enough and start a war when they still have a chance to win.
See the Earth-Mars conflict in the Expanse.
Who cares? As tonymet said, something doesn't need to be a huge market to be a viable business. Truthfully I would say that many problems in modern American business culture can be traced back to the false belief that one has to turn their business into a huge affair selling to masses of people constantly.
Yes it makes sense, certainly on paper, and in a world in which the older generation actually are disadvantaged by their age and younger people are not. Actually it's the other way around. Like so many things in Germany, it's just outdated and from a time when things were actually really good and everything was not falling apart. The boomer generation are the richest, have pensions we will never have, and get to pay far smaller rents than we do. I pay 3x the rent that my boomer neighbours pay for a mirror image flat across the hall.
Not quite!

How can you folks be so close and yet ...
I lost mine somewhere in SF while visiting years ago but I absolutely loved it.
I won it at a hackathon after making a tiny Pebble app where you could keep score during a soccer game as a referee by pressing the side buttons.
App development and publishing was extremely easy on their app store.
Whenever I want to upscale, I use an Edge-Directed algorithm, such as SuperXBR. Diagonal lines stay diagonal and don't turn into blurry boxes.
I like the chart Bloomberg has of the top 10 largest single day stock drops in history. 8 out of the 10 are NVDA (Meta and Amazon are the other two).
Don't look for logic in the market, I suppose.
Good call, I just changed it to send to pixel watch if opened on Android or Windows!
I think the idea that SOTA models can run on limited hardware makes people think that Nvidia sales will take a hit.

But if you think about it for two more seconds you realize that if SOTA was trained on mid level hardware, top of the line hardware could still put you ahead, and DeepSeek is also open source so it won't take long to see what this architecture could do on high end cards.
I moved 100% over to deepseek. No switch cost. Zero.
My go to reference is a CTO of a startup I worked for. He is now semi retired and a “fractional CTO”.

But honestly, I’ve leveled up so much in the past five years, anything that any of my previous coworkers could say about me would be outdated
o1 does not output the full CoT tokens, they are not comparable.
IMO this is less about DeepSeek and more that Nvidia is essentially a bubble/meme stock that is divorced from the reality of finance and business. People/institutions who bought on nothing but hype are now panic selling. DeepSeek provided the spark, but that's all that was needed, just like how a vague rumor is enough to cause bank runs.
If people are bullish on Nvidia because the hot new thing requires tons of Nvidia hardware and someone releases a paper showing you need 1/45th of Nvidia's hardware to get the same results, of course there's going to be pullback.

Whether its justified or not is outside my wheelhouse. There's too many "it depends" involved that, best case, only people working in the field can answer, worst case, no one can answer right now.
My first thought was Monokai (the default theme in Sublime Text 3 and earlier)
Love this!

After my Pebble I tried an e-ink "Watchy" from SQFMI (https://watchy.sqfmi.com/) thinking that the battery life would be great but the battery only lasted a few days.

I've been wearing a Bangle 2 (https://www.espruino.com/Bangle.js2) which feels closest to recreating my Pebble. It has super long battery life and feels a lot like my Pebble did, but doesn't have the polish of the pebble UI and animations.

Can't wait to get a new Pebble!
I can sorta see the point. AI probably wont kill me.

But, its more than likely going to either limit my earning capacity or directly put me out of a job.

I know that the instant reply is "oh but other jobs will pop up to replace yours" I mean yeah they might, but it's unlikely that I'll be qualified to do them.

the historical cases of this kinda thing don't look to rosy. When a technology comes in to "revolutionise" an industry, lots of people get left behind. They are forgotten because they aren't rich enough to be written about. "they found other jobs" no mate, they died in penury.

When was the last time you hear about the weavers guild deposing some mayor because they didn't like them? Yeah not after the powered loom right? If you look at all the massive churches in the UK(http://www.norfolkchurches.co.uk/worstead/worstead.htm) the ones that are in bubmble fuck of nowhere are because of weaving (more or less). They don't get built in georgian times do they?

AI is going to displace at least 10-20% of white collar work permanently. That sort of disruption tends to make shit hard to govern, or make dark satanic mills.
As a trans occasional-user of Facebook, I never saw any censoring of transphobic hate speech. During any administration, I was fed very many posts from nominally pro-queer visibility pages that existed primarily to bait interaction from vehemently transphobic or homophobic users. I saw everything you could imagine stated with zero repercussions from site staff or even the consensus of other users.
> would distilled water work?

Unfortunately, not, because water is very corrosive, and easy gather many non-inert substances just from air.

This is very serious problem. I once talked with old support engineer from USSR, who have some experience with old water-cooled computers.

And he said, it was just nightmare, all those pipes periodically leak (some because rot, others become fractured) and in many cases, if water reach pcb, its broke.

Really problem was solved on Cray-2 (and later models) by use Fluorinert, which was so inert that was safe to literally drop boards into liquid.

Some persons even thinking, Soviets Elbrus was not successful just because USSR don't have companies like DuPont or 3M to produce something similar to Fluorinert.
Deepseek censors. Ask it questions on Chinese politburo stuff or to enhance xi jinping is an asshole.

My point being - a model that censors based on political leanings is unreliable
No, because what this implies is that the Chinese have better labor power in the tech-sector than the US, considering how much more efficient this technology is. Which means that even if US companies adopt these practices, the best workers will still be in China, communicating largely in Chinese, building relationships with other Chinese-speaking people purchasing chinese speaking labor. These relationships are already present. It would be difficult for OpenAI to catch up.
I tried to make a post with the https://species.wikimedia.org/ link, and I get "Your content couldn't be shared, because this link goes against our Community Standards".
I think it’s perfect actually.

Google used to (still?) have a page internally where if you clicked on “I don’t care about security” it sent you to the jobs page of a competitor that had suffered a notable breach.

Very on point.
I got redirected to pixel
Can AI make ethical decisions?
So excited for this! No other smartwatch comes close to the UX of pebble OS. Tiny touchscreens are demonstrably a bad idea.

Garmin and Casio have plenty of button-only devices, but they seem to not really understand how to make a UI flow well. They all feel kludgy and arcane to use. Whereas pebble was a very simple layered menu system without any over-complication.
Looks like there is money in the business of hyped-dying startups. First Pebble, then Beeper, and now Pebble again.
I'm sorry to hear that but it seems that's simply a natural part of the internet. Even 4 Chan was susceptible to this cultural shift and it seems the whole point was the gatekeep as much as possible.
> It's a marginal feature in the number of users that used it, but those that did use it, used it for decades in many cases

Not only that, but the users who did move the taskbar are more likely to be the "power users" who will help to evangelize Windows in an organization. Those are users who Microsoft should want to keep happy. When you lose them, you lose any sort of grassroots support in an org.

It's a small change in terms of code and number of users affected. It's a big change to the affected users and in user perceptions.
Thanks - this is based on the Srcery theme (https://srcery.sh/) but maybe needs some tweaks, as per some suggestions in the thread
It's just too hard for some people to quit their dreams. It's easier to toil forward and hope that things will turn around. Also, some people have sacrificed so much that quitting is worse than continuing.

There's also the fact that failing companies can turn everything around and be a success. Hope is what keeps most founders moving forward. There have been so many cases where people started companies where everyone around thought that it was crazy to continue. Apple is a prime example. It was on its last legs in the late nineties. It made sense to quit at the time but it came back to be a powerhouse.
I’m getting an error going to the Discover tab and also when hitting “search” after typing a search term (newlines added):

string::1: bytes->jsexpr:
bad input starting #"error code: 502" context..:
.../syntax/readerr.rkt:15:2: -raise- read-error
.../private/arrow-val-first.rkt:486:18
.../private/backend.rkt:45:9: get-trending-podcasts
.../noise-serde-lib/backend.rkt:69:22
Who's out here buying businesses for 1x the sales revenue volume? What a silly concept. If businesses could be so cheap, you'd just double down every single year until you owned every business on the planet.
The biggest issue is the software. It's mostly abysmal. The best effort I've seen so far has been InfiniTime for the PineTime. It's very difficult without full-time employees working on improving things.
References these days are usually with individual coworkers, rather than a company reference.

It usually isn't "is this person a good developer?" either. Instead, it is open-ended questions without any one right answer. How much structure did this person like? What about your work place helped them be successful? What role did they play on the project you worked on together? What impact did they have on the team?

If someone's reference didn't work with them closely, that's as strong a no-hire signal as if they outright said "this person sucked." If they don't have anyone they can hand you the phone number for who has specific, detailed praise about them and their work, you can safely move on to the ten other candidates who do.
If you think ppl on HN or elsewhere aren't racist against the actual Chinese people, you are just incredibly naive.

People have been talking about the Chinese like automotons of the government with no agency of their own for a long time now. However it's the same for all of humanity. In China in the Mao era, the slogan was to free the Western capitalist society from repression. It's the same old talking about enemy camp and assigning no free will to the people.

All this is to say, people here don't think of the Chinese as equals. That is the real core of racism, not about saying something against the protected race of the day.
I don't swim, but I have done thousands of runs with my series of garmin watches and I can say that the UX for them is spectacular, everything is in a sensible place for me to do without thinking.

Not sure what problems you've had with it specifically
Was Grok2 or Grok 1 any good? I thought Musk was a distant last place shipping garbage?
My understanding is that the model does not "know" it is an LLM. It is prompted (in the app's system prompt) or trained during RLHF to answer that it is an LLM.
Most workers (75%) end up leaving before ever being promoted
the "AI lies" takeaway is way off for those actually using these tools. Calling it a "junior dev faking competence" is catchy, but misses the point. We're not expecting a co-pilot, it's a tool, a super-powered intern that needs direction. The spaghetti code mess wasn't AI "lying", it was a lack of control and proper prompting.

Experienced folks aren't surprised by this. LLMs are fast for boilerplate, research, and exploring ideas, but they're not autonomous coders. The key is you staying in charge: detailed prompts, critical code review, iterative refinement. Going back to web interfaces and manual pasting because editor integration felt "too easy" is a massive overcorrection. It's like ditching cars for walking after one fender bender.

Ultimately, this wasn't an AI failure, it was an inexperienced user expecting too much, too fast. The "lessons learned" are valid, but not AI-specific. For those who use LLMs effectively, they're force multipliers, not replacements. Don't blame the tool for user error. Learn to drive it properly.
This is fantastic work, thank you!
Hard to argue Nvidia is a meme stock and that Tesla is not a bigger meme stock.

If meme stocks were imploding, why is Tesla fine?

This is about DeepSeek.
Counterexample: Ive been able to complete more side projects in the last month leveraging llms than i have ever in my life. One of which I believe to have potential as a viable product, and another which involved complicated rust `no_std` and linker setup for compiling rust code onto bare metal RISCV from scratch.

I think the key to being successful here is to realize that you're still at the wheel as an engineer. The llm is there to rapidly synthesize the universe of information.

You still need to 1) have solid fundamentals in order to have an intuition against that synthesis, and 2) be experienced enough to translate that synthesis into actionable outcomes.

If youre lacking in either, youre at the same whims of copypasta that have always existed.
I just want to know if I can buy a gaming video card at a reasonable price or if i should hold off on it. I don't care about the AI shit. And yes I'd prefer nvidia because their closest competitor can't tape a box together nevermind develop and assemble a graphics card.
I think it's probably more accurate to say that people are now a bit more bullish on what the Chinese will be able to accomplish even in the face of trade restrictions. Now whether or not it makes sense to be bearish on US AI is a totally different issue.

Personally I think being bearish on US AI makes zero sense. I'm almost positive there will be restrictions on using Chinese models forthcoming in the near to medium term. I'm not saying those restrictions will make sense. I'm just saying they will steer people in the US market towards US offerings.
Privileged Access for Modern Infrastructure: Four Challenges
It turns out there are differing interpretations of what to do about the edges. For an "interior" packing (there is a technical word for this that I don't recall rn), following the link by @mbauman below, the n=3 case is:

http://hydra.nat.uni-magdeburg.de/packing/cci/d1.html

and the other cases are nearby.
> In my experiences, the places that pay the most _have_ to pay that much because the job sucks. By the time you divide their salary by hours actually worked, people at FAANG end up making significantly less than I do. I value all my time, not just my bank account.

This is the type of copium that you usually hear from people who have never worked in BigTech…

BigTech could afford to pay me 50% more as a mid level employee than working a lot harder at a 60 person startup and that company was paying about average for a local enterprise dev in a major metropolitan area.

I’m no longer there. But I had to get a job as a “staff” level employee to even get in the range when I left of my job as a mid level employee at BigTech. Comparing the leveling guidelines, it’s about the same as a “senior” at the equivalent job at BigTech.
Kali is one example. That said Kali is not a bad thing.
Not the AI proper, but the need for additional AI hardware down the line. Especially the super-expensive, high-margin, huge AI hardware that DeepSeek seems not to require.

Similarly, microcomputers led to an explosion of computer market, but definitely limited the market for mainframe behemoths.
You need to predict the target (with BTB) if want zero-bubble calls (1 cycle latency).

Otherwise it takes 3 cycles (on the P550) to take a direct call. Doesn't matter that it's unconditional, it can't see the call until after decoding. Sure, it's only two extra cycles, but that's a full six instructions on this small 3-wide core.

And an indirect call? Even if the target is known, it's going to need to fetch it from the register file, which requires going through rename. And unless you put a fast-path in with an extra register-file read-port, you need to go through dispatch and the scheduler too. Probably takes 6-10 cycles to take an indirect branch without a BTB.

On bigger designs it's even more essential to predict unconditional branches, as their instruction caches take multiple cycles, and then there are quite substantial queues between fetch and decode, and between predict and fetch.
iOS 18.3 released, addresses AirPlay, WebKit, Kernel vulnerabilities
Well, this is what the media does, it is a low hanging fruit that will attract readers. The reality is that NVDA price was way too high and would fall anyway. This was just a catalyst.
Cline also supposedly supports Ollama but it doesn't work that well with most models. There are some models dedicated to cline.
Thanks for the reminder. I'll try to do better next time.
Roblox is a better example. Giving people the tools to create shared experiences.
I thought they killed FitBit and are doing Pixel Watch again instead

https://store.google.com/product/pixel_watch_3
R1 is the first model I've used that one-shotted a full JavaScript tetris with all the edge-case keyboard handling and scoring. It also one-shotted an AI snake game. With the right prompts I've found it consistently better than o1 and Claude 3.5 Sonnet.
What does any of this have to do with Tesla? Even if Tesla is a bigger bubble, not all bubbles have to pop at the same time.
oh wow, I just bought a garmin a couple of weeks ago after it seemed like the rebble app was going to be increasingly unsupported on new android versions, but if this takes off I'll switch back without a second thought
1:1? so that dividends cover the share price in the first year of ownership?
Funny enough, I posted an article I wrote here yesterday with the same sort of thesis. Different technologies (mine was Docker) but same idea of LLM leading me astray and causing a lot of frustration
When put into context one could say the OG overreaction was thinking 500B USD in infrastructure investments and restarting nuclear plants were rational decisions rather than working on efficiency.
Tesla is playing the political game with Trump. They're riding that wave. Musk always find some new reason for people to believe the stock.