skysight-inc/HackerNews huggingface dataset:
> The first amendment prevents censorship, by the US government, of the press or individual speech. It doesn't prevent an individual or legal person from suing over something written or said in public about them.

It doesn’t prevent them from suing,

It does, within its scope, prevent the US or (because the same rule is incorporated against the states under the 14th) any state government from giving them a legal basis for winning a suit, though, which the target of a suit is free to point out to the court to get the case dismissed. This is why the scope if defamation is much narrower in the US then in the British law it inherited.

And, in some US jurisdictions, the target mught also be able to recover damages from the filer of the original suit under anti-SLAPP. laws.
Why does anyone choose to work at Amazon?

Given all the stories of PIP, it sounds like a not great place to work

Go to other fang, or other tech. Lots of companies that pay just as well.

Amazon would be my last choice - my job search is going awful, gotten rejected from most big tech companies, and I have well paying Amazon and a long tail of little shit companies that don’t pay that great (think of the equity!!)
2021 ASUS ROG Zephyrus G14 R9 5900HS + RTX 3060. A wee beastie, I love it.
As a recovering bike mechanic of 20 years (my retirement goal is to be able to afford doing that job again, it’s joyful but hard to make a living) the writing has been on the wall for several years about the many benefits of wider tires (and rims too I suppose). From fewer puncture flats, to greater comfort and traction, to actually lower rolling resistance, I dknt see a move back to narrower tires being something that ever happens and I couldn’t be happier about that fact! I’m too slow and old to reap any performance benefits, but my comfort and enjoyment of wider tires makes me ride my bike more. https://www.renehersecycles.com/bq-tire-test-results/
It might seem far-fetched but the theory is not based on speculation. It's supported by a substantial body of scientific evidence.
If this is really your sentiment, I strongly invite you to try out Taipy. This was exactly our reaction when we decided to build Taipy. Streamlit was already somewhat popular, but it would always fail at the production stage when we tried using it for consulting missions. Any application in production generally has a significant workload in the back-end, multiple pages, and users. Streamlit's approach of re-running your code outside cached variables limits it to POCs, as you said.

That is why we created Taipy. We wanted an easy-to-learn Python library to create front-end for data applications while remaining production-ready: we use callbacks for user interactions to avoid re-running unnecessary code. Front and back-end run on separate threads so your app does not freeze whenever a computation runs.

We also focus on providing pre-built components to allow the end-user to play around with data pipelines quickly. These components allow the user to visualize the data pipeline in a DAG, input their data, run pipelines, and visualize results...
He’s extremely qualified and is one of the most influential people in the world.

It’s just comparable to a player competing against a team with a teammate who they didn’t like. There’s definitely some added drama.
I think a better payout structure for Spotify would be to go per-user. For example, for each subscriber a given amount from their subscription plan is earmarked for payouts. Let's say about 4$ per user. We divide that amount by the number of streams the user had that month, and we simply pay that amount to the artist.

Examples:

- I only listened to one song this month? The full 4$ go to that artist.

- I listened to 2 albums by 2 artists this month, on repeat? 2$ each (assuming the same number of plays for each)

- I listened to 399 tracks from one artist, and one track for another? 3.99$ to the first and 0.01$ to the second.

- The gym next door is streaming Mariah Carey's Chrismas album on repeat? Their 4$ goes to Mariah Carey and mine still goes to the artists I enjoy.

I think the current model of per-stream across the whole platform distorts the playing field towards more popular artists that play in commercial settings.
Not to forget that Weird Al is doing a lot of covers - so he is not the original composer of the song. Performers usually get paid way less (everybody can perform a cover of any song out there), but the composers get paid the lion share. I also doubt he gets $12 but probably lot more, the video is just intended to draw attention to Spotify's payout schemes.
As a BMW owner, I actually found the repair pricing quite comparable. Maybe not quite to a Corolla, but it was to a Lexus.

If anything the Lexus was a bit more, due to how common BMW specialist shops are, while there's none for Lexus.

The issue for me was the frequency of the repairs, 5 years of Lexus ownership cost me less than any 3-4 month period of BMW ownership over the 2 years I owned it.

I suppose I can only compare 2-3 repairs, cause the other dozen repairs for the BMW simply didn't break on the Lexus, nor did it spring any of oil leaks my BMW was famed for.
Most artists these days self-distribute via platforms like Distrokid, not via a label. Distrokid just passes along streaming revenue, so they don't have any incentive to fight for it. And obviously, artists aren't in any position at all to collectively negotiate - you publish on Spotify, or you're unknown. The fault does, in fact, lie mostly with Spotify here.
My ancestors were coal miners in Tennessee. They tried to reason with their employers for a long time to establish reasonable working conditions. When it became clear that their employers were not going to listen to reason, they found other ways to establish reasonable working conditions.
> from what is essentially an advertisement for your tours and merch

Isn’t the whole point that this part is not the way it should be?
RAS Syndrome.

(Redundant Acronym Syndrome)

https://en.wikipedia.org/wiki/RAS_syndrome
It really is: anytime uBlock Origin blocks >50% of the resources on a page (including to Russian servers), it's objectively bullshit.
Just checking—have you emailed? Happy to take another look.
Don't forget the Saabaru
Even without worrying about lawsuit, it isn’t a good use of your time as interviewer to tell the candidate. It’s just like having a long conversation with someone you don’t want to go out with any more.

They will keep trying to “explain why you’re wrong”.
Look at text messages from Elon’s Twitter takeover
What practical difference does it make with aggregation / averages for millions of users compared to your system?
> It's smart on many levels.

Two levels. ;-)
The browser doesn’t communicate such things between unrelated clients, say, on different domains. The browser does allow a site to communicate with the popup that it opened, which is what this game is doing, and is not problematic.
Shiny has a DAG that enables intelligent caching. Here is a good talk explaining it https://www.youtube.com/watch?v=YNCPc9aWm_8
really fucking cool! good job
Nowhere did I say stupid… everyone is susceptible to propaganda, and to deny its influence in this particular circumstance seems naive.
Another anecdote, but the number of times I think "wow, that guy ran that yellow really late!!!" increased massively over the last four years.

The number of drivers using the bike lane outside my house to make illegal passes has also increased. As has the amount of tailgating and excessive use of horns on the same road.
What’s deeply funny is how Italy is also where a lot of police spyware industry got its start in Europe (HackingTeam and fellow travellers).
About 2009 or 2010 I recall nearly every major distro saying they were going to ignore it, yes. It primarily existed so that Linux could mimic System V and/or POSIX, and that stopped being relevant as soon as software written for Unix migrated into software written for Linux.
The other half is publishing results to fix that.
In my eyes, the LLM took very generic high-level instructions, interpreted them correctly, and then followed the instructions to generate output text that was similar to what it had seen before.

What it didn't do was to just use the input prompt as the key into a gigantic lookup table and find the corresponding output text.

A different example of this is when an LLM can correctly interpret a sentence like "the trumpet did not fit in the suitcase because it was too big / small".

Here, "big" would refer to the trumpet, while "small" would refer to the suitcase. This becomes important when translating to German, where "the" comes in different flavors for "trumpet" and "suitcase".

ChatGPT interprets this correctly. It can also explain in detail why "too big" / "too small" makes sense or not for the different interpretations.

You could argue that this is still just a lookup response. But I have a hard time seeing how it can have stored so many different variants in the amount of bytes that the LLM is made up of?

--

ChatGPT explanation for trumpet / suitcase:

Let's delve into the logic and reasoning behind which noun the size descriptor applies to in each of your sentences:

"The trumpet did not fit in the suitcase because it was too big."

In this sentence, the logical interpretation is that the trumpet is too large to fit inside the suitcase. It's understood that if an object doesn't fit into a container, the issue is typically that the object is too large for the container's capacity.

Hence, "it was too big" naturally refers to the trumpet, not the suitcase. It wouldn't make much sense to say a suitcase is "too big" to contain something; if the suitcase were bigger, it would more likely accommodate the trumpet.

"The trumpet did not fit in the suitcase because it was too small."

Here, the logical understanding is that the suitcase is too small to contain the trumpet. When an object doesn't fit into a container due to size, and the descriptor is "too small," it implies that the container isn't large enough.

In this case, "it was too small" refers to the suitcase. If the sentence intended to say the trumpet was too small, it would contradict the idea of not fitting; a smaller trumpet would more likely fit into the suitcase, not less.

In both sentences, the key is understanding how size descriptors (big, small) interact with the concept of fitting something into something else. The size issue that prevents the fitting is logically attributed to the object that needs to be accommodated (the trumpet) in terms of being too big, or to the accommodating object (the suitcase) in terms of being too small.
Ah thanks, jless is actually the one I was originally thinking of and trying to find! :D
It's more God In The Gaps. Something is declared ineffable, beyond the grasp of the mind, science, tools, AI. Then we have an undeniable breakthrough, and they roll back that stance the very smallest amount to accommodate the new knowledge.

There's a strong historical pattern that the appearance of the limits of reason has always been due to a lack of imagination, often in the very people who just spent their lives expanding its borders. And these arguments so often rest on "je ne sais quois," it comes off as more ridiculous than parsimonious. If you think you found an illogical or indeterminate system, I'd bet that your body of kmowledge just needs reframing.

Though ever further we might see, surely dragons further be! c:
Is Lenovo just doing SEO stuff here, or is there some other reason for this?
It is completely nit-picky, as others have said, both methods have pluses/minuses, so how does the interviewer know the internal preference of the hiring company? Unless the question was specifically "how would you do this lookup if you have Dirty data". Then maybe missing using a default value is something. But even then, maybe you hit an invalid value, you should fail, or if you are providing defaults then there should be some follow up on, what is a good default, how will defaults be reported out, etc....
Tracing the Evolution of the "Little Brain"
That was a fun watch, this especially had me in stitches:

"All those cool kids going out, going to clubs, they just haven't discovered reverse engineering yet"
I had no idea you could do this. Very helpful for theming where the colour of elements needs to be determined at runtime by the user
Read it wrong, "Weird AI." Too much HN.
When you have the scale of Amazon, you don’t need a lot of go getters. Just a relatively few and a lot of grunts. One CS leetCode grinder at the L5 level is replaceable with another.
That article was interesting but holy crap what was the deal with the constant shifting of the layout. Ads kept popping in and out shifting the content up and down. Its unreadable.
I'd rather work one year at Amazon than 5 years at a nice European country in a walkable city, and that's how the numbers pan out if you're saving for retirement
That's the difference, he's doing his own work. Hell, around here the minimum labour charge is already more than $100.

As someone who owned a Saabaru, many 4 figure shop quotes become a weekend and <$100 in parts. Just depends on if you have the time and space to DIY.
Do managers get PIPed too? I've only ever seen regular devs get PIPed
Neither is laying concrete but those guys aren't getting a quarter million in stock every 4 years, despite having a more positive effect on the economy.
She's the #1 most streamed artist on Spotify (100m+ monthly listeners).

It's obvious to mention her in an article about Spotify streams.
Yep, Assuming you will be fired eventually and will have to fall back to a normal CRUD job is the right play when taking these high pressure, high salary roles. Any idea why you were PIPed after 3 years?
I'm not worried in the medium-to-long term.

Tech (which is nothing more than a lackey of Big Business) will never understand that real demand for cultural artifacts – art, books, film – comes from the consumers' need for real human connection. (The rare exception might be a guy like Steve Jobs).

This is a huge advantage to artists and creative people because they can and will bypass that mindset entirely, and can do so with the confidence that they're connected to what human beings – consumers – actually want.

It's why 'tech forward' orgs like NFLX can't really do much except churn out derivative works, meanwhile you've got the Davids, the Wachowskis, the Cohens, Tarantino, Chris Nolan, etc. constantly pushing the limits of creativity and writing their own ticket, without the permission of big business and its lackey tech bros. When these guys 'break out' of course everyone wants to be their best friend, but in no way was Warner Brothers or Paramount able to mechanize or catalyze that creative genius.

What chaps my ass the most about the current crop of GAI is that its gone after writers and illustrators and artists because, in the process of sharing their works with the world, had that work hoovered up and used for training data without their permission or recompense.

Luckily, all of the mediocrity these systems shit out is obviously superficial and soulless. Yeah you might some day be able to do a fully reactive murder mystery in Zuck's metaverse, but eventually you're going to want to be intrigued and delighted by something truly fresh and human – and that can only be created by other humans.
> Insist on having an "employer of record" that does things by the book, and knows local regulations, tax codes, and mandatory insurances.

I just read an article claiming that in Germany employers of record are treated like temp agencies and thus limited to 18 months.
Journalists are desperate for a shared culture again, and are latching onto anything that resembles the mass media culture pre-internet.
Have you considered ClickHouse?
Characters can definitely enjoy copyright protection, distinct from trademark protection. At least in the US.
https://9to5mac.com/2022/09/12/ios-16-clean-energy-charging-...

> The latest version of iOS has a new daemon (a process that runs in the background) that collects carbon emission data from the local load balancing authority (like the US EIA) based on the device’s location. Then, iOS also downloads a carbon emission forecast from a server. With all this data combined, the system controls when Clear Energy Charging goes into action.

> As a result, iOS 16 will wait to charge the iPhone at a time when power grids are less constrained and more clean energy capacity is available. With recent concerns about power grid capacity in US states like Texas and California, this feature couldn’t come at a better time – and will certainly be very useful for other Apple products as well.

Consider how broad efficiency measures (Energy Star, LEDs, etc) have kept electric demand flat in the US; that is generation that will never have to be built.

https://spectrum.ieee.org/us-electricity-demand-flat-since-2...

https://www.vox.com/energy-and-environment/2018/2/27/1705248...

(if I can find objective measures of this Apple feature, I will start a new thread)
The best thing about Taylor Swift is how she managed to fuck over the PE firm that bought the rights to her music[1][2]. This is a more effective "fuck you" to the money side of the industry than many more lyrically principled groups have managed to achieve. Her music is... ok. It's the pop music industry, so I'm not sure what you're expecting here. But it's nice to see a pop star with a spine and some business sense.

[1] https://www.cnbc.com/2020/11/17/taylor-swifts-masters-sold-b...

[2] https://www.nbcnews.com/news/us-news/taylor-swift-says-she-s...
> I think the current model of per-stream across the whole platform distorts the playing field towards more popular artists that play in commercial settings.

Which is very much in favor of the actual people (Major labels) who needed to be convinced to license all their artists to Spotify in the first place. So not really surprising.
His manager was likely upset because the guy left before he was put on the PIP and so wouldn't count towards the HR VP's (and by extension his manager's) 6% goal.
The "X" in general is like a "chi" with a lisp.
thanks mate! just forwarded this to a friend of mine. he will be delighted for sure
nu acknowledged powershell as one of its inspirations, yeah!!
Firefox for Android is getting over 400 more extensions in December
Your $8 croissants are subsided just as much as the $1 ones at Costco. They are cheaper because they don't have to pay that professionally trained french chef.
I'm sure that smarter people than I will point out flaws in this model (aside from Spotify making less money lol) but I love it.

It would be split into tons of artists for most people but a guaranteed chunk of the monthly would be nice.
> A few days later I found myself in a grocery checkout line, skimming through yet another article in which the writer touted the wonders of “artificial intelligence” and fretted hazily over whether we are nearing the point when AI will be able to produce novels, films, and other creative work, effectively replacing us. When I looked up and over to other people in the line, half of them wore the same shoe brand as me.

This is an interesting phenomenon with AI. People immediately assume that because AI has the ability to flood the market with mediocre art/writing/whatever, that artists and writers are screwed. In my experience it's quite the opposite; when the market gets flooded with repetitive mediocre garbage, the relative scarcity of something unique increases and actually increases the price, accordingly.

To the author's point, you can get the same Adidas shoe as everyone else for $50, or you can get a largely similar-looking pair of Guccis for ~$800 US[0]. Those Guccis would not exist if not for the mass-market cheap option; there would be no reason to splurge on an expensive unique purchase if everyone else was already wearing something unique. Or not wearing shoes at all.

This has been my experience since the introduction of stable diffusion and dall-e as well. Just anecdotal, as I don't have any access to hard data, but the artists I've spoken to say that their commissions and fanbox subscriptions have gone up since SD was released. Much like the trope of friend groups keeping an ugly friend around to make themselves look better, the mediocre and soulless AI art that's flooding the internet has, apparently, made people appreciate human output as a premium brand.

[0] https://www.nordstrom.com/s/gucci-new-ace-sneaker-women/4701...
I needed something mundanely weird to make my afternoon, thanks to whoever at Lenovo decided to get a LLM to make this. I took a few minutes checking out the wider glossary page and came across this on the keyboard layout page[1]:

>What are the most common types of keyboard layouts?

>The two most common types of keyboard layouts are QWERTY (which stands for “query, enter, write, erase, type”)

LLMs bluffing hard isn't anything new, but it's weird to see it on a reputable company's site like this.

[1] https://www.lenovo.com/us/en/glossary/keyboard-layout/
Well it depends on your definition of efficiency. In a perfectly competitive (and perfect information) marketplace there will be more goods sold than in a monopolistic one. So in terms of resource allocations its inefficient.

There's a graph on this page title "Perfect Competition, Monopoly, and Efficiency" [1] that shows how since the monopoly can price set they choose a higher price than where demand meets supply since it results in higher profits. This isn't achievable in a competitive marketplace as then somebody else would just undercut them.

Interestingly you can correct this inefficiency by subsidizing a monopoly so that it offers the correct amount of supply.

[1]: https://saylordotorg.github.io/text_principles-of-microecono...
Unless one of the foremost experts in AI (the subject of the post) is grinding away at a non profit making one fourth of the average comp at Amazon (which is nowhere near what you say it is), he isn’t going to be getting an offer of $900K a year at Amazon
She's going to save Democracy though!
Bitmagic launches AI-based tool to create games with text prompts
Coca-Cola, Meta rank among top U.S. companies that boost talent: new index
UC Berkeley is deeply unserious about actually cutting its emissions, which it could very easily do by replacing its cogeneration plant with something else. Yes, it will be less efficient to generate steam from renewable electricity, but it will also be carbon-neutral. The cogen plant releases 100x more CO2 than the vehicle fleet but everyone wants to talk about a handful of EVs while whistling past the power plant.
New types of CRISPR revealed by algorithm
“fair use because I don't have 1000 lawyers”

That the legal system operates differently for those with greater wealth is a more general, certainly important problem, but not specific to LLMs or copyright.

One hopeful thought to consider, if big corporations like Disney use generative ai that have been trained on Joe Nobody’s artwork, and they will most likely, now Joe Nobody can sue Disney, and he may be able to find attorney’s because Disney has enough money to make themselves a lucrative target for lawsuits. Maybe this isn’t how the legal system works, I have very little knowledge of copyright law.
I see your point, but it's mainly this part:

> subtract a percentage for themselves

Streaming platforms (let's not just pick on Spotify, though they also pay worse than others) just do this arbitrarily. They decide how much to skim off for themselves before graciously paying artists. This isn't how it works in basically any other industry where one group of skilled individuals create content that is then sold on some marketplace - instead, the sale price and proceeds are visible to all, and the middleman takes a well-defined, reasonable cut of that.

There's no need to compare streaming platforms to other models of paying musicians, in order to know they're getting a bum deal. This model is not fair in the slightest, and it's perfectly alright to be upset about it.