skysight-inc/HackerNews huggingface dataset:
This is funniest convo I heard about DNS for a long time.

Makes me wonder what GP does with the plate when he finishes his dinner.
We will be posting it on a preprint server when we're ready to submit it to journal review, hopefully some time in February (but who knows, publishing timelines are murky at the best of times). The title will be something along the lines of "Reconstructing the temporal development of COVID-19 from sparse longitudinal molecular data", though that's likely to change somewhat.
I've heard more along the lines of a proto-4chan.
Note that this post seems to be talking about at least three different techniques, not all of which were used on all the mentioned footage in question:

1. De-noising: often aggressive (and sometimes with pretty "basic" algorithms like bi-lateral filters) removal of noise / film grain.

2. Up-scaling. Note also that a lot of film stock in the 70s/80s was not that great quality, and even getting "useful" 2K resolution out of it might not always be possible (I'm not claiming that was the case in these cases, but it might be a consideration if a studio wants a 4K BluRay from the plate, which might not be possible otherwise)

3. Face replacements (Beatles Now and then footage only I think?).

They Will Not Grow Old was also colourised and retimed (the original footage like most 100 year footage was recorded by manually winding a handle to spool the film, so the speed of it (its frames per second) varies considerably leading to quite odd-looking footage (people walking is especially odd-looking) compared to footage we're used to within the last 70 years or so with mechanical/electronic winding.
Steve knew the value of communication and respect, and when to give it and when not to, and how that strategically applied to Apple as a company. Elon knows none of these things - ego is his north star.
Yeah, that was the ‘aha’ moment for me, realising that “objects” were just a struct and a bunch of functions that work with that struct.
That's not actually the technique the authors are using. Catching 100 fish would be analogous to "sample 100 YouTube videos at random", but they don't have a direct method of doing so. Instead, they're guessing possible YouTube video links at random and seeing how many resolve to videos.

In the "100 fish" example, the formula for approximating the total number of fish is:

total ~= caught / tagged
(where caught=100 in the example)

In their YouTube sampling method, the formula for approximating the total number of videos is:

total ~= (valid / tried) * 2^64

Notice that this is flipped: in the fish example the main measurement is "tagged" (the number of fish that were tagged the second time you caught them), which is in the denominator. But when counting YouTube videos, the main measurement is "valid" (the number of urls that resolved to videos), which is in the numerator.
Looking at things in terms of ratios seems like an odd way of judging whether misinformation is a problem. If 0.5% of the sentences I say in a day are violent threats towards children that'd be a problem, right?
One of the often missed out points in these suggestions is the target audience.

Make all slides for one persona/one type of audience only.

End User
Buyer
Developer
Tester
Manager/Director
Project manager
Product manager
VP
CEO
CTO

If there is a meeting with everybody in it - show the slides meant for the most common persona first and a few others next.
I think the plot is more dome shaped. Big channels are crap, but many smaller ones are too
It doesn't look better than the original to folks who grew up with media shot on actual film. Historically the crunchy-lighting-and-every-last-wrinkle levels of detail that are omnipresent in modern media were reserved for the lowest budget daytime soaps, and were a hallmark of cheap equipment, limited post budget, or both.
I think part of the problem is that Google has a recency bias. Newer, more spammy, sources get priority over older ones - even if the older ones are of higher quality.
That's a lot of copper over time..
Interesting to know we can still ruin Facebook in 2023, I thought it was already ruined years ago.
That something is impressively engineered is orthogonal to it being quality cinema.
A word is coming to mind. A word that means, "canned meat product." A word that rhymes with "blam."

Flagged to hell and back.
At Google almost 20 years ago, a bunch of our machines (possibly with slightly bespoke CPUs?) were behaving oddly. These machines were mostly in use for serving Google's web index, so almost the entire RAM was devoted to index data; the indexserver processes were designed to be robust against hardware failure, and if they noticed any kind of corruption they'd dump and reload their data. We noticed that they were dumping/reloading massively more often than they'd expect.

Eventually the cause was narrowed down to that, randomly when the machine was stressed, the second half (actually, the final 2052 bytes) of some physical page in memory would get zeroed out. This wasn't great for the indexservers but they survived due to the defensive way that they accessed their data. But when we tried to use these new machines for Gmail, it was disastrous - random zeroing of general process code/data or even kernel data meant things were crashing hard.

We noticed from the kernel panic dumps (Google had a feature that sent kernel panics over the network to a central collector, which got a lot of use around this time) that a small number of pages were showing up in crash dump registers far more often than would statistically be expected. This suggested that the zeroing wasn't completely random. So we added a list of "bad pages" that would be forcefully removed from the kernel's allocator at boot time, so those pages would never be allocated for the kernel or any process. Any time we saw more than a few instances of some page address in a kernel panic dump, we added it to the list for the next kernel build. Like magic, this dropped the rate of crashes down into the noise level.

The root cause of the problem was never really determined (probably some kind of chipset bug) and those machines are long obsolete now. But it was somehow discovered that if you reset the machine via poking some register in the northbridge rather than via the normal reset mechanism, the problem went away entirely. So for years the Google bootup scripts included a check for this kind of CPU/chipset, followed by a check of how the last reset had been performed (via a marker file) and if it wasn't the special hard reset, adding the marker file and poking the northbridge to reset again. These machines took far far longer than any other machines in the fleet to reboot due to these extra checks and the double reboot, but it worked.
Improving our safety with a physical quantities and units library
I often used to regret buying an item at Costco at high price and few days later seeing discount on the same item.

Later found out that Costco has price adjustment policy if price of an item is reduced within 30 days of purchase.

Created simple app to tell me if the price is reduced. Its not awesome, but it works. I have got a few 100 dollars so far :)

https://reclaimo.vercel.app/
Someone called me for an interview with Amazon. They were working on an image recognition system for physical stores. Once you got an item from the shelve and put it on the basket they've open a virtual basket and add the item there, too. Once you get to checkout, all you have to do is pay.

I had a similar idea when I developed checkout for Metro Cash and Carry. Put some cameras near the wait line at the cash registers and use image recognition instead of having a clerck scan all the goods. They weren't interested, though.
Still looks better than the original

What

I can see this with film restoration like the WW1 footage where you're dealing with severely damaged originals, but most film images shot on 35mm look great. While film has grain it also has great resolution, and cinema lenses tend to be the state of the art in optics. AI is ideal for fixing things like hairs in the gate, judder, and other shutter-related problems. I think it has excellent potential for image restoration as well. But it's not yet good enough to handle texture and most integrators don't have a good idea of how to develop intra-frame continuity.
They aren't chips, they are printed tags. They cost about 0.10 ea.

https://www.rfidjournal.com/faq/how-much-does-an-rfid-tag-co...

Sadly the article is undated, so we have no clue when "today" is. But the price feels about right.

To someone as large as Uniqlo, I imagine the cost is closer to 0.01.

The ability to read multiple tags like this has existed for at least a decade. I wonder why retail like target doesn't have it.

EDIT: technically they are chips, but we call this kind of passive barcode-equivalent kind of thing a tag.
Keep in mind youtube permanently keeps a copy of the original upload which may have an even larger file size
These calculations should be viewed as long term expected value. Long-term is probably 10-20 years in this case. So, based on your calculations, each video is about 2-4 bucks a year.
Having a server in your room was a hell of a lot more common 30 years ago than it is today. I knew guys who ran BBSs off a spare phone line, one dude that was running a small ISP out of a studio apartment, and several guys running everything from personal websites to file sharing nodes off of dedicated equipment stashed in a back room.
Many don't even have an answer. They simply conclude that they don't know, after having spent pointless paragraphs on filler. "Well there you have it" is a common expression I see.
Or don't return any search results for searches for random hashes
oh, for sure, but they said "make, grow and harvest" themselves, so I excluded that from my thinking.

Get something else to do the work can accomplish a lot. As could fishing depending on where you are.
> The 4K video number is just about right for average original upload.

No, it definitely is not.
You can train a small NN on a bunch of synthetic data and the inference will be pretty fast.
My local library system has had this for years. I’ve always wondered why it’s not more ubiquitous. You put your stack of books on the counter, and the titles appear on a confirmation screen almost instantaneously. Scan your library card and away you go.
If you’ve met Eric Schmidt you will know that is precisely what it is. His narcissism is boundless and he apparently figured out how to make it infectious.
That was committed by his accomplice, who seems to have gotten a mild punishment.
Ask HN: Would like HN like forum for jobs?
Is it fixed to a certain llm architecture like llama2? How does it deal with different architectures like MOE for example
So as usual, the exploitative agents get to destroy the commons and come out on top.

We need to figure out how to target the malicious individuals and groups instead of getting creeped out by them to the point of destroying most of the so praised democratizing of computing. Between this and locking down the local desktop and mobile software and hardware, we've never got to having the promised "bicycle for the mind".
I agree; not saying what I'd do. Just answering the question of what would likely be different in a communist society, based on real world examples. The value given to human life seems demonstrably lower on average.
That's typically the Lincoln-Petersen Estimator. You can use this type of approach to estimate the number of bugs in your code too! If reviewer A catches 4 bugs, and reviewer B catches 5 bugs, with 2 being the same, then you can estimate there are 10 total bugs in the code (7 caught, 3 uncaught) based on the Lincoln-Petersen Estimator.
Also film was expensive, directors shot a tight 90 minute movie and called it a day

This is nonsense. The amount of film shot is orders of magnitude longer than the finished product and many scenes are shot over and over to get a good take. A film with a longer running time doesn't necessarily need more shooting time than a shorter film.
What’s considered a good price? I’m blown away by how much functionality this packs for under $65 on this listing but I don’t know what’s normal.
How is this different from NVidia? Bigger bandwidth?
> since you can check again for the actual matches.

Can you explain this?
It's 1996 or so. The web is new. The Bureau of Transportation Statistics (BTS) at the US Department of Transportation collects ontime arrival data for all the major airlines, by flight. It publishes some summary reports, but what people really want to see is how all the flights from, say, JFK to LAX performed in a given month.

The monthly database textfile is not that large, but it is unwieldy.

I'm a web consultant, but database backends are not yet a thing, at least not for us. Static webpages, all the way down.

So I use a script to parse the database into a series of text files and directories. E.g. JFK/index.html is a list of all the airports receiving flights from JFK, e.g. LAX, SFO, etc. And JFK/LAX.html is that month's results for all JFK to LAX flights. Etc.

As I recall, once I'd worked it out, it took 15 minutes to generate all those files on my Mac laptop, and then a little ftp action got the job done. Worked great, but someone did complain that we were polluting search results with so many pages for LAX, SFO, etc. etc. (SEO, sadly, was not really on our radar.)

That was replaced within a year by a php setup with a proper Oracle backend, and I had to explain to a DB admin what a weighted average was, but that's another story.
This comment. Please see here.
I feel seen. I'm lucky to have all the resources in the world except time and naivete
I dunno. 'Ignorance is Bliss'. I only have so much brain capacity and attention, I'd rather direct it to what's important to me than leave it wide open to the sewage-infected firehose of incoming information that is life in the 21st Century.

An article who's title implies the inevitability of parenthood is probably not good mental fodder.
sampling from non-bot-IPs and non-bot UAs
When I was younger I learned that Sed was turing complete. So I did was any young woman would do. I build an entire search engine in Sed. But it wasn't like a useless little search tool that provided bad search capability for a website, no, nearly every page (minus a few like the about page) of a site was nothing more than a presentation on top of the search query results. Several thousand hardcoded "known" pages and infinite possible pages depending on user searches. Because it was the foundation of the site, search worked unlike most websites searches of the era (~2005). This site happily ran for about a decade with surges of traffic now and then before a server migration and too little time prevented its continued existence.

Adult me is both horrified and impressed at this creation.
You managed to describe the many forums of ye olde days.

I miss those days. Has it really been at least 20 years? I'm getting too old for this...
This is called amazon go. I believe they had intentions of selling this tech to other stores but it never really took off (maybe uniqulo is using it?). They closed several of Amazon's stores which used this in 2023 and there are only around 40.

https://en.m.wikipedia.org/wiki/Amazon_Go
Seeing as no laws are part of the constitution, do you have something more specific you're talking about here?
It can be fun seeing something upscaled as a thought experiment on what life was like at a different time, it doesn't take much away from the original film imo.

Also, They Shall Not Grow Old was made in 2018 before the recent AI boom. It was an experimental and ambitious film at the time but I'm sure it could be done much better today.
Distributed Tracing Using eBPF
Amazon Go stores were written about extensively 2 years ago: https://www.theverge.com/2021/6/15/22534570/amazon-fresh-ful...
The fan I bought was exactly the thickness that I had between the bracket and the top panel of a mITX build. But since it's the EXACT thickness, there's no way to put it there.

I ended up sanding the fan's plastic shroud for two hours to get it to fit. It's still in my desktop right now and I won't ever be able to get it out because it's just snug enough to go in.
You keep saying real and true, but it's engineered from the authentic film.

Certainly it could be more immersive and give more of a sense of being there, but colorized b&w film is not real, it's guesses (maybe very good guesses).
Oh, sorry to hear that.
Rest in Peace Jack.

Loved your game <3
Target would have to require it of all their suppliers.

Uniqlo only sells their own stuff, so it's easier to adopt.
It would be illegal not to have a tag. If the fish has nothing to hide, it shouldn't worry about being tagged.

And, also, the fish gets tagged for its own good.
What happens to the tags, does it become ewaste, or removed after buying at store?
For resolutions over 1080, it's only VP9 (and I guess AV1 for some videos), at least from the user perspective. 1080 and lower have H264, though. And I don't think the resolutions below 1080 are enough to matter for the estimate. They should affect it by less than 2x.

The lots of videos with low view counts are accounted for by the article. It sounds like the only ones not included are private videos, which are probably not that numerous.
Play any old movie and you will see the intro meander for a while, opening credits will take sometimes almost 5 minutes. As opposed to now, movies start fast before you click out and watch another thing. Sure, they didn't particularly waste film, but they did meander... or, you could say they weren't meandering but setting the mood/ambiance for the film. One must remember directors were artists, cinema existed for the art not for the audience, there wasn't a whole lot of pandering.
Basic Amazon stores never used this. Only the amazon go convenience stores ever did. As far as I can tell, the former are all closed now while many of the latter are still open. At least here in Seattle.
My kid is turning 3 next month. We never give her screens to look at. We don't even have a TV at home. Sometimes there are TVs at restaurants, but that's unavoidable, and they stay there. We of course have laptops, tablets, and mobile phones, but the kid never gets them. The only time she looks at a tablet is on a high desk when we're doing family exercises together while watching an exercise video, or if there are no options to draw, she sometimes can draw using her finger on the Notes app.

It's extreme, but we're going to keep going this way for as long as possible. She's fine in the car, she sings gibberish, looks out the window, and I'm not sure what else, but she's obviously doing something while I drive. We sometimes have a conversation.

There were times when she would scream a lot in the car, but it was always because she was cranky because she hadn't napped yet. Driving somewhere was actually a great trick for getting her to nap. At restaurants, she likes scribbling with crayons on paper when the restaurant has that, or she likes walking around with me and exploring the restaurant while we wait for food. Or she just crawls all over her chair, the bench, etc. We also bring some children's books with us, she loves flipping through them and looking at the pictures. But she usually doesn't need the books.

This probably doesn't work for every kid. But for my kid, I've developed the theory that if she never really experiences using a tablet, phone, etc, her mind can be imaginative enough to entertain herself in other ways.

Heck, it worked for me when I was that age, I'm sure; tablets sure didn't exist back then! Gonna keep this going for as long as we can. I refused to get a cell phone when I was in undergrad for pete's sake. Times sure have changed. I imagine that as soon as she normalizes using any kind of screen, she'll want it nonstop. The hope is that by the time we can't avoid it anymore, her brain will have developed enough to be able to self-regulate with our guidance.
>Everyone at school will know how lame you are.

They'll even call you tinfoil fish.
But if you _do_ need a whole bunch of SATA disks, it's hard to beat a bunch of R720XDs.

I have a small fleet of them and they're actually not that noisy or power-hungry if you
1) disable cpus
2) undervolt remaining cpus
3) write your own fan controller off of raw ipmi byte sequences

By far one of the best cost/pb mass storage solutions. I have a bunch of NUCs and SBCs too, but they're definitely suited for different purposes.

One of these days I'll buy a surplus Isilon cluster or two and truly achieve bulk storage apotheosis. Cbf fighting Ceph in my spare time as well.
Regarding machining, you can/should read a lot of books but you're not going to learn how to run a mill or a lathe without getting your hands on one.

I took engineering tech and welding classes at my local community college as a non-matriculated student.
This is absolutely fantastic well crafted app that I was looking for. Kudos to you(/u/jonatanheyman). The UX is all around friendly and not 10x bloated feature crapyard. Also thanks for not pumping the whole landing page with 20k emojis, something I honestly truly appreciate.

Aside: This may (or not) have issues with hey.com people.
Because the Facebook app u think about now is for a distinct group of legacy users. U r probably not part of it.

Meta likely doesn't care about how u use it as they only care about the engagement. As the common users shift to the market place, Meta would just follow suit

Update: I'm not sure why this post was down voted..? If you disagree with my interpretation of Meta's business model would you care to explain?
What AI upscaling (and generation) shares with the examples in the article is the strong denoising process (commonly referred to in video discussions as DNR, digital noise removal), hence why films like the infamous 4K version of Terminator 2 look so 'waxy'. In T2's case at least it's because it was based on the 3D version of the film (required such denoising for the stereoscopic process).

There are three sizes of Ultra HD (4K) Blu-Ray discs: BD-50, BD-66 and BD-100, with the latter two seeming the most common ime. Various releases, particularly if the run time isn't excessive, will encode them to fit on the less expensive, smaller capacity disc (IIRC BD-100 is harder to manufacture due to tolerances).

The other aspect is of course streaming/online digital encodes, which always optimize for filesize. One comparison of half a dozen 4K streaming services by a user on the enthusiast Blu-Ray.com forum found iTunes was about tied with the highest peak bitrate (~31Mbps), which is still only about 1080p Blu-Ray bitrate (Ultra HD Blu-Ray by comparison can be as high as 90Mbps).

What's ironic is when a film is released with the original grain very clearly intact, like Blade Runner: Final Cut, I've seen some comment their other family members have thought there was too much grain (tbf there are some very grain heavy—but lovely—scenes).

I think the effect of years of smartphones auto denoising all photos has contributed to some of this lack of pushback by non-enthusiasts.
Yeah, I messed that up
Keep in mind that you're complaining about excluding some incidents with humans drivers, but it's also excluding a whole lot of miles. That is, the denominator gets smaller.

We've previously had accident rates vs. total miles disclosed. Now, we have a new, better number (for reasons stated above). Of course, it's always good to look at a variety of measures.

> discussion that might be critical of Waymo’s brand and safety.

When someone uses the word "fatality" to obscure that they're talking about a not-at-fault accident where a dog runs in front of a vehicle and the dog dies, it convinces me that the person I'm talking to is not an honest counterparty in discussion.
I am alive because of technology, so every time I laugh it’s technically because of technology.

Besides what makes me unhappy is frequently people not technology.
Can someone explain th hardware differences for training vs inference? I believe Nvidia is still the leader in training?