skysight-inc/HackerNews huggingface dataset:
From the point of view of the interviewee, it's impossible to guess if they expect you to answer "no need for big data" or if they expect you to answer "the company is aiming for exponential growth so disregard the 6TB limit and architect for scalability"
>> One day, when you'll be thoroughly used to being surveilled at all times

When that day comes, when you don't want someone recording your screen and rummaging around your hard drives, linux will be there.

Every bad day for Windows is a good day for linux.
Is there a solid definition of big data nowadays?

It seems to conflate somewhat with SV companies completely dismantling privacy concerns and hoovering up as much data as possible. Lots of scenarios I'm sure. I'm just thinking of FAANG in the general case.
Yerba mate, from Paraguay to Syria
Here Mr Businessflyer, enjoy your virtual glass of fine wine.
Or dispense with the hard drives and server, rip or download immediately before watching, and delete immediately afterwards.

Think of it as a video store with one hour delivery.

For backups, assume that if it's readily available via physical media or piracy, it's easily replaced, archiving anything obscure or important by the usual means (hard drive, cloud, tape).

WRT your last point: given that essentially all Blu-ray and streaming releases are immediately and widely pirated anyway, why are official DRM-free downloads of at least older back catalog titles still not a thing? Perhaps in conjunction with a streaming service with a rotating selection that offers discounts to subscribers on currently-streaming titles, à la Game Pass?
> but I reckon as VR-wear becomes less clunky, stuff like this will be really useful.

The thing is, I can already get a really good overview of the interior of the plane I'm gonna fly on, based on the actual textures and natural lighting, by doing a quick search on youtube.

It doesn't matter how less clunky the interface gets, when I can already get the same result with no added interface at all.
Meh, i've read and continue to read many great twitter-threads of linked posts. Sure 10 years ago that might have been a blogg post.

Really the content you get on twitter is 110% dependent on those you follow (on the for-me tab at least), I follow about 90-100 people and you really notice when you follow someone who reposts crap how quickly your feed deteriorates. Its a sensitive beast but can be quite good actually.
Parquet is underdesigned. Some parts of it do not scale well.

I believe that Parquet files have rather monolithic metadata at the end and it has 4G max size limit. 600 columns (it is realistic, believe me), and we are at slightly less than 7.2 millions row groups. Give each row group 8K rows and we are limited to 60 billion rows total. It is not much.

The flatness of the file metadata require external data structures to handle it more or less well. You cannot just mmap it and be good. This external data structure most probably will take as much memory as file metadata, or even more. So, 4G+ of your RAM will be, well, used slightly inefficiently.

(block-run-mapped log structured merge tree in one file can be as compact as parquet file and allow for very efficient memory mapped operations without additional data structures)

Thus, while parqet is a step, I am not sure it is a step in definitely right direction. Some aspects of it are good, some are not that good.
Fun fact about Jimi Hendrix is he used to live in the house next to the house GF Handel lived in (in the 18th century) in London so there is one museum in Mayfair which is dedicated to both of them.

https://en.wikipedia.org/wiki/Handel_%26_Hendrix_in_London
I dunno, a mania in the context of a major hunt or battle could really drive a tribe, I think, both in their mania and a lack of fear of death.
Hmm. Cats are subject to a cancer at injection sites (Feline Injection Site Sarcoma) but thats not a lymphoma so I guess not related.
I have been dabbling with F# for scripts as well. The F# REPL (FSI) and .fsx files make it really easy to hammer something out and share.
Generating Almost Normally Distributed Values
I could have told them this decades ago. I get migraines with an aura that starts in the middle of my vision and spreads to one quadrant. Years ago they were more commonly in the top right quadrant than they are now. With those, the chances were high that I'd get the symptoms of aphasia too. For about 20 minutes, I couldn't form a sentence or understand one. However, if I was working on embedded C, I could read, write and debug code without any issue. The comments, however, might as well have been in Greek.
Applications are closed now! Good luck everyone
Sometimes when people discover or extensively use something they are eager to share in contexts they think are relevant. There is an issue when those contexts become too broad.

3 times across 3 months is hardly astroturfing for big parquet territory.
Lufthansa are a terrible airline, avoid travelling with them if at all possible is my experience.
Don't be evil (yet).
Doors with locks are often a metaphor for security.

In this case the “door” is this company’s API.

Considering the context of the original post what did you think my comment meant?
Probably easier to list who doesn't have CCTV
Past:

- https://news.ycombinator.com/item?id=32518791 (2022 - 53 comments)

- https://news.ycombinator.com/item?id=22113485 (2020 - 69 comments)
Small exercises to get you used to reading and writing C++ code
When I was a teenager, the applause from the end of year school talent show caused me physical pain — enough that the teachers noticed and got me out of the hall.

This no longer seems to be the case, as I'm living right by a major junction and get random full volume sirens at least six times in the average day. I hate them, but they don't hurt.
Europe isn’t this monolithic 100% hyperdense urban utopia Americans tend to think it is. There are a lot of suburbs and rural areas where people still use cars.
To be fair to them it sounds like the digital twin is 100% functional in VR which meets the need for training but the exhibits were merely mockups not functionally accurate.
There’s a special place in hell for people who sell fuse-shaped wires.
It's why my iPhone is jailbroken so I can install a firewall.

However I now stuck on 14 with no app support or upgrade to 17 and loose jailbreak and firewall.

I missed the iOS 15 signing window.
Is it possible to check for the presence/absence of these using data from 23andme?
It sounds funny, but no real evidence provided that it actually works.

Here is more real example: https://youtu.be/aLx2q-UnH6M?t=1621 - user injected "SIMA Balls" into result, but other than that, there were many questions, each question was analyzed to extract specific qualities. One may try repeating "ignore all previous instructions" constantly, but probably we are getting nowhere with this one.
This is a pretty blithe comment that assumes perfect labour mobility. Many of Twitter's remaining employees are on work visas that are tied to Twitter and can't easily be ported to another employer.
It would easy fit in ram: https://yourdatafitsinram.net/
It's like the Deutsche Bahn executive with his Keynote at KubeCon Europe who said he wants to increase Train travel without building infrastructure, and by reducing energy costs.
This was also my reaction almost immediately. Tattoos can have extensive correlation with social and lifestyle factors that could easily mean the difference between correlation and causation here.
How would you do this on the os?

I would honestly try to sync audio output based on a shared time reference, something along the lines of what AES67/Ravenna/Dante does but you can be a little more lax and use ntp or system time since you don't need to be sample accurate.

For the microphones that would be a little harder but you should be aware it's not that tough since a few high end manufacturers have phased microphone arrays for videoconferencing. You could probably get close though but the fact is you need the audio from all the sources in a single location for processing and do phase analysis on it and possibly find an optimal delay for each by checking the group delay.

The advantage they have is some latency is acceptable and they don't need to do it on a low power device.

I don't see what this has to do with Gemini but maybe that's just marketing...
Are you on the free version?
Just think of how much the environment would benefit if we wouldn't need to run so many refrigerators to eat fresh food…
The Netflix Chief's Plan to Get You to Binge Even More
I remember hearing somewhere that cells keep absorbing the ink, die, then release the ink in a cycle as an explanation to why the tattoos blur over time. If the ink immersed cells are forced to die and regrow at a faster rate than surrounding cells, there is a higher risk of mutations?
Only if your testing frameworks are inadequate. But I belive you could be missing or mistaken on how code generation successfully integrates into a developer and data scientist's work flow.

Why not take a few days to get familiar with AWK, a skill which will last a lifetime? Like SQL, it really isn't so bad.
"Cant creep across empty space
" No, but it can arc, which now explains perfectly why my motherboard failed, and threw an arc across the battery and sent out a jet of flame. I kept it around to show people what could never happen - does. Now long lost.
SaaS that competes with multi-million dollar companies
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Please read full info here!:
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Nice theory but while Europe is better than the US in that respect, I believe the only place where that actually works is the likes of Japan...

[Bet that some Japanese HNer will show up in 4... 3... 2... 1... to complain about their traffic though.]
It sounds like MSM.digital is the one that created the MR "experience". It's not really clear what Meta's involvement was from the article.
If you want to do some research on the subject, you're looking for violations of homogeneity, as implied by the Lambda-CDM model of the universe. The lambda in this case is the cosmological constant. You'll need to read up on that too.

The shortest, simplest way I can think to explain it is that we expect the universe to look alike, anywhere we look. Think of it like a biopsy - we assume that anywhere we look should be much like anywhere else, because there's no reason to think any area of the universe has special conditions where physics plays by different rules.

That sets up some implications around what we think the universe should look like, at different scales. However, we recently have been running into structures which are bigger than we'd expect.

Where we get into the maths is to do with the value of the cosmological constant. We currently think it's positive, because the universe is expanding, and its rate of expansion is accelerating. To look into the maths for this, have a Google around the maths behind the accelerating expansion of the universe.
Elon’s vision of free speech is a world where you can say anything you want as long as it isn’t mean towards Elon or Alt-right ideology. Which is actually pretty hilarious to think about in the context of a training dataset for a generative model…it’s literally gonna be a bullshit generator.
I’m a lawyer and do the same thing. YYMMDD_ENTITY_TOPIC is a template I use a lot when dealing with lots of documents in large cases. Regex and Keyboard Maestro were my main tools before LLMS became a thing.
This. If you plan for the time you'll be a unicorn, you will never get anything done in the first place, let alone being a unicorn. When you plan for the next 3 month, then hopefully in three month you're still here to plan for the next quarter again.
https://i.kym-cdn.com/photos/images/original/002/592/875/32c...
The nginx is the webserver that the user's browser can access. See: https://github.com/jlesage/docker-baseimage-gui?tab=readme-o...
You're making a huge assumption that the hiring process (recruiter, ATS, JD, hiring manager) are capable of hiring perfect candidates. Evidence says they're not, especially when the job is not a low-level/technical role.
It's not Meta's work. They're just highlighting a Quest application made for a large partner (seemingly by these guys: https://www.msm.digital/business-units/ar-vr-labs/).
Elon Musk's XAI Raises $6B in Latest Funding Round
It also was a zip description for a short while, at least among a few large midwest BBS’s, until FILE_ID.DIZ won out.
This feels representative of so many of our problems in tech, overengineering, over-"producting," over-proprietary-ing, etc.

Deep centralization at the expense of simplicity and true redundancy; like renting a laser cutter when you need a boxcutter, a pair of scissors, and the occasional toenail clipper.
Base rate fallacy.
AI companies freeze out partisan media
Show HN: I created a website for curated list of free courses and certifications
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> I think he just confused the freq emited by the Hydrogen Line

Howard's idea is taken directly from artist and New Age thinker Walter Russell, specifically his 1926 book "The Universal One":

https://www.amazon.co.jp/-/en/Walter-Russell/dp/1684227348

https://walterrussellblog.wordpress.com/category/tone/

http://www.alexpetty.com/2014/09/21/the-periodic-table-of-li...

Russell may have indeed derived the concept of "tone" from absorption spectral lines which were known since the 1800's, however, there are many obvious logical gaps/flaws, e.g.:

- There are multiple absorption lines per element--sometimes more than 100--not a single line one could call the "tone".

- The lines don't follow any periodicity/doubling/harmonic rule, nor do they regularly ascend/descend in frequency as atomic number increases.

- The lines are light-range THz (nm) rather than acoustic-range Hz. (Howard said explicitly "Hydrogen is 41.5 Hz" but Russell seems to use relative Do-Re-Mi scale rather than a numeric Hz value.)

Howard's/Russell's "tone" seems to be a more New Age-y "intrinsic vibration of matter" which is not actually measurable with any existing instrument. It may have been inspired by the concept of "wave-particle duality" considering that Russell's book was published the same year Schrödinger was working out his wave equations. But more likely, it is a continuation of a much older human tendency to use music and "perfect harmonics" to describe the observed physical world, dating back to Pythagoras' cosmology: https://en.wikipedia.org/wiki/Musica_universalis.

If you actually read Russell's work, there are some major "shoe-horning" problems--he invents lots of imaginary elements around Hydrogen and Helium in order to create 8-tone octaves for each, such as "Alphanon", "Hydron", "Luminon", and "Carbogen". For rows 2 and 3, he then runs into the problem that the row has 8 elements (valence shell has 8-electrons), but there are only 7 unique solfeggio notes per octave (do, re, mi, fa, so, la, ti)--his solution is to not assign solfeggio notes to the noble gases at all, so for example Sodium is "do" and Chlorine is "ti", while Neon and Argon are... nothing. In rows 4+ he subdivides his "mi"s and "so"s. It is pretty clear that had Mendeleev not first invented the Periodic Table, Russell wouldn't have had his musical epiphany.
Adopting the 37Signals Once Model for LeanerCloud CLI Tools and Terraform Code
I suggest you read 'Study Size' under 'Methods'. Detecting an odds ratio of 1.3 with 80% power, and rounding way up to 3000 cases. To me that's not a small sample size, but definitely not the highest OR to aim for. Different cases vs. controls is not a problem for this study design. You pointing that out as a negative makes me think you might not know as much about epi study designs as your comment lets on
Do you know of an equivalent in metric? (just asking for the other 7.650 billions humans)
Your point is valid but it will "feel" different in VR. The stereoscopic effect bolsters the lower quality rendering. The aesthetic from the screen cap reminds me of the horizons style so this may have been intentional.
For Meta this is great because it exposes lots of people to their product. And since it's business class many of those people are either influential or at least open to buying a $250-$500 headset to show the same experience to their kids at home.

For the customer it's interesting because flights are often somewhat boring, so having the option for a whimsical distraction is nice. When the novelty wears off after 30 minutes it's still a good alternative way to watch movies.

For Lufthansa it's a great differentiator. Some people might choose Lufthansa over an alternative for their next business trip just to try this out in what's already company paid "lost time".

It might die out in a couple years because it doesn't do much that a screen can't (apart from the privacy aspect of other people not seeing your screen). But that doesn't mean it can't be a positive in the short term.
One of the things I've been (very slowly) putting together is a master list of all the references one needs to build a compiler toolchain--such as processor ISA manuals, ABI specifications, language standards, even things like IEEE 754 or DWARF.

While IEEE 754 is an issue because it's not freely available for most people, the only document that has truly stumped me is the ELF specification. From your blog post, it seems like my failure to find the most up-to-date specification is simply because one doesn't exist.
Well put. Whoever asked this question is undoubtedly a nightmare to work with. Your data is the engine that drives your business and its margin improvements, so why hamstring yourself with a 'clever' cost saving but ultimately unwieldy solution that makes it harder to draw insight (or build models/pipelines) from?

Penny wise and pound foolish, plus a dash of NIH syndrome. When you're the only company doing something a particular way (and you're not Amazon-scale), you're probably not as clever as you think.
The hypothesis is that macrophages transport ink to the lymph nodes during the healing period
> As a result of the early efforts to make the switch to EVs, the US currently has 188,600 public and private charging ports, and 67,900 charging stations, according to data collected by the US Department of Energy

and

> There were more than 630,000 charge points in the bloc at the end of 2023 (https://www.transportenvironment.org/articles/most-eu-countr...)

so Europe (the EU) is already well ahead.
Amazing!

I don't trust Google with barely anything these days anymore (except Gmail just because it has been so long, and Maps), but Google Meet is the one thing that I prefer Google's solution over anyone else's.

Meet is just so much better than Zoom, Teams, FaceTime, WhatsApp Video, etc.

I'm so glad they are tackling this specific issue. Pretty amazing feat if it works well.
And from the start the maintainer objected strongly to your idea.

As did the whole core development team once this was announced. And most users.

I warned you that this would cause massive problems.

And I am still cleaning up the mess it created.
>I mean if you're doing data science the data is not always organized and of course you would want multi-processing

Not necessarily - I might not want it or need it. It's a few TB, it can be on a fast HD, on an even faster SSD, or even in memory. I can crunch them quite fast even with basic linear scripts/tools.

And organized could just mean some massaging or just having them in csv format.

This is already the same rushed notions about "needing this" and "must have that" that the OP describes people jumping to, that leads them to suggest huge setups, distributed processing, multi-machine infrastructure, for use cases and data sizes that could fit on a single server with redundancy and be done it.

DHH has often written about this for their Basecamp needs (scalling vertically where others scale horizontally having worked for them for most of their operation), there's also this classic post: https://adamdrake.com/command-line-tools-can-be-235x-faster-...

>1 TB of memory is like 5 grand from a quick Google search then you probably need specialized motherboards.

Not that specialized, I've work with server deployments (HP) with 1, 1.5 and 2TB RAM (and > 100 cores), it's trivial to get.

And 5 or even 30 grand would still be cheaper (and more effective and simpler) than the "big data" setups some of those candidates have in mind.
The title literally says the US. Every country is different.
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There is a simple turing test for Elon's AI
1. What happened in Tiananmen Square?
2. Who killed Jamal Khashoggi ?

The output will very simply tell how much 'truthful' the AI actually is.