skysight-inc/HackerNews huggingface dataset:
The new Star Trek shows show this radical change compared to the classic shows (yes, even Enterprise is classic now). Well-adjusted, competent officers seem to be taboo these days, and all drama has to be self-inflicted emotional issues and irrational decisions. Even rugged old officers are emotionally stunted, not a single sane one.
It sounds like Facebook is going to keep billing them, so it's $300 plus whatever they get billed until the credit card expires. I presume it'll be several thousand dollars.
This is correct. I sometimes feel like I'm yelling into a hurricane when I say this, but it bears repeating: it's a language model, not a world knowledge model.

LLMs are exceptionally good at transforming many aspects of language - its proficiency in coding is derived from this, not because it "knows" imperative logic.

Tasks where you're asking it to transform text from one form to another (make it shorter, make it longer, make it a different language, etc.) are where it excels. It's particularly poor at knowledge retrieval (i.e., hallucinations galore) and very bad at reasoning - but so far all of the breathless hype has been specifically about the use cases it's bad at and rarely about the cases where it's amazing!
It was not much needed until computer text processing become a thing.
You can buy Chloraseptic Sore Throat Spray with Phenol on Amazon, if that's the active ingredient you're looking for.
Unknown Soldier.
You should check out SigNoz (https://github.com/SigNoz/signoz) - It's an open source alternative to DataDog with metrics, traces and logs in a single application. You can just self host it yourself or try the hosted version.

PS: I am one of the maintainers at SigNoz
My understanding is that Wayland is more versatile in the sense of how a LEGO set is more versatile than a molded toy. Yes you can do a lot with LEGO, but a LEGO brick is just a LEGO brick at the end of the day. Similarly, Wayland lets almost all the "interesting" bits be up to the extension protocols[1].

[1]: https://wayland.app/protocols/
You can use that prediction for compression though: https://bellard.org/nncp/
The world bank! That classic charitable organization that definitely does not make predatory loans to poor countries and force them to privatize their industries
I very carefully didn't fart out maximize shareholder value anywhere in my comment because I don't believe that myth either. I wasn't debunking anything. I was responding to the sentiment that "companies should only pay dividends when their quarterly earnings are positive", which is the rage hook as you said, and also a myth.

I understand you were just calling out the porn in front of you... "you know it when you see it" style. But you also phrased it in a diminutive way towards the person you were responding to. What you failed to catch is that I am using the royal you in my comment. I'm not calling you out specifically, I'm telling the reader that if you actually buy into the porn, then you lack sophistication.
my 7a and 6a both have this behaviour. It's not super uncommon for google to roll out UI/UX changes chronologically with phone release dates.

... so look forward to that on your next Pixel, I guess.
Sheeran gets 75,665,830 monthly Spotify listeners based on recent Spotify data. Spotify pays artists about $0.003 per stream, which is $3 for one thousand monthly listeners. Using those numbers, you can estimate that Sheeran earns at least $226,997.49 monthly from Spotify streams alone

source: https://www.musicindustryhowto.com/ed-sheeran-net-worth/

alt source: https://edm.com/industry/spotify-highest-earning-artists
>Have they just become content to be an old corporate software house who only manages to keep users through dark patterns and anti-competitive behaviour because they have given up on making products which people enjoy to use?

Change that from a question to a statement and it becomes one of the better single sentence summaries of the windows 11 design methodology.
- Save a copy of your current .bash_history file. You can import its contents into the sqlite "commands" table later.

- Add both files in this gist to $BASH_HOME.

https://gist.github.com/chmaynard/dbcaed11534dc54bdc90856d18...

- Install .bash-preexec.sh in $HOME (see https://github.com/rcaloras/bash-preexec).

- Append this command to your shell startup file (e.g. $BASH_HOME/.bashrc):

source $BASH_HOME/bash_history.sh

- Open a new bash window. You should see the message "bash-preexec is loaded."

Enjoy! Please share your feedback in the gist comments section.

(Memo to self: Package this up in a repo with a proper README.)
Indeed. For a different angle on the nuance, you will often see the gerundive translated as "worthy of". Miranda, worthy of beholding. Amanda, worthy of love.
The source is the only thing to worry about.
Without a trailing slash it makes a copy of the directory, and fills it.
With a trailing slash, it copies just the *Contents* of the directory.

rsync -avP foo bar # puts foo inside bar so bar/foo/*
rsync -avP foo/ bar # puts the the contents of foo, in bar (without making foo)

I like to add the v & P flags for verbosity & progress.
Personally I don't think they should after they're adults. You gotta contribute to society to earn your keep
The gaping hole in my argument is that large language models know nothing about panic. Except kernel panic.

I ain’t claiming these things are conscious. I’m not that guy. I’m the guy pointing out that it’s a model of us. Trained on watching our behavior.
> I don’t think this rebuts the significance of emergence, since metrics like exact match are what we ultimately want to optimize for many tasks. Consider asking ChatGPT what 15 + 23 is—you want the answer to be 38, and nothing else. Maybe 37 is closer to 38 than -2.591, but assigning some partial credit to that answer seems unhelpful for testing ability to do that task, and how to assign it would be arbitrary.

Not sure I can agree with this. Let's for the sake of the argument say that normal calculators don't exist. I can choose to run my calculation thought ChatGPT or do it myself. It is true that I would vastly prefer the answer to always be correct, but it's not true that there is never value in bounding the error.

Put another way: would you rather want a calculator that is at most 5% off 100% of the time. Or a calculator that is 100% correct 95% of the time, but may output garbage the remaining 5%?

Upon further reflection: it seems mighty ambitious to expect a statistical model to be always correct. If always correct was possible you probably didn't need a statistical model to begin with. Given that the model will fall from time to time it seems especially useful that you can bound the error somehow. +1 for smooth metrics i guess.

I guess all of this is slightly off a tangent as Wei seems to be just arguing that "there might be things LLM's can do or will learn to do in the future that we didn't train them for. And we won't necessarily be able to predict it from capabilities of smaller models". I agree with this, just not the way he arrives at the conclusion.
If I understand this correctly, it takes Python code and makes it as fast as C by compiling Python code into binary like compiling C to binary.

I want something like this for JavaScript. Given how much stuff is written in JavaScript now, that would have a huge impact on the performance of so many apps.
WordPress has been and remains the default CRM since the inception of free/low cost hosting.

The ease and low cost of multi-tenant PHP environments combined with the incredibly massive resource base of themes and plugins basically makes it unstoppable for anyone needing something more than what Squarespace can offer in a budget web platform.

The fact that it can be shoe horned into doing so much at an "acceptable" level of quality makes it a nearly unkillable zombie.
This is unrelated, but http://theartbot.com looks great! Do you want to submit it to HN sometime? Something like "Show HN: TheArtBot - Semiautonomous drawing machine" would be a great title. It would also be great to include text that gives the backstory of how you came to work on this, and explaining what's different about it (e.g. going into some of the details that you mentioned at https://news.ycombinator.com/item?id=27229274).

If you do ever post it please email hn@ycombinator.com so we can put it in the second-chance pool (https://news.ycombinator.com/pool, explained at https://news.ycombinator.com/item?id=26998308), and it will get a random placement on HN's front page.
Why class action this and not small claims? Does the OP have a burning need to wait four years and watch a lawyer take 90% of the bounty?

Hell, even arbitration sounds quite likely to resolve the issue to his satisfaction. Am I missing something?
(Disclaimer: I work at Chronosphere, a Datadog competitor) This is a big issue in the observability space. We have written a few blog posts on this, but basically it’s easy to fall into a trap where cardinality and high dimensional monitoring causes your metrics to pop, causing costs to skyrocket. You have a few experiments, are running a bunch of smaller k8s pods per cluster and whoosh! you might be looking at millions, rather than thousands of time series that you're sending to your provider. Most vendors won’t provide tooling or suggest ways to reduce these costs, b/c they have no economic incentive to do so…. Anyway, bottom line is that no one should have to pay more to observe a service than to operate it.

Also: it’s 2023. Every company needs to be getting compatible with open standards like OpenTelemetry, Prometheus, etc.
Do any ideographic languages use spaces?

I'm used to it in Asian languages but it still does my head in when I try to read older Latin documents.
What about nootropics? What is the creatine of the mind enhancing drugs?
Doubtful. ChatGPT can't even give you a hug
“Cognitive deplatforming” is a brilliant way of framing the motivation of certain “free speech” advocacy. It’s not good enough for someone to be able to express the idea, nor to be able to amplify it by whatever platform provided to them. You also have to think about what they want you to think. Anything less than that is denying their right to speak.

Recognize the pattern of their motivations and the resulting ideas? Know they’re harmful from prior experience? Better go think on it some more, or you’ve unduly cancelled them from your own brain, and that’s bad because everyone who wants to be in your brain deserves to be, rent free of course.
I don't think this paper is dismissing the importance of correct yes/no tests and reaching an accuracy threshold making it generally useful to humans, but that you should use more than correct yes/no tests before declaring some behavior is emergent.
The Third Technological Revolution
“Humanity’s third major technological revolution is leading us into a future more promising and also more dangerous than any since the dawn of history. It’s coming faster than you think.”
The majority of jobs in the world require medium or lower intelligence.

Historically at 20-40% unemployment wars start and country leaders are physically disassembled in the street.
> Far more useful than getting a simple dictionary lookup.

Yes.

Long-time dictionary-editor and translator here. What blew me away most when I first tried ChatGPT, and what continues to amaze me, is its ability to distinguish and explain the meanings of individual words relative to their context. I have spent much of my career doing just that, and I always felt that it relied on my knowledge and intuition as a human and would be a really hard problem for AI. Conventional corpus linguistics had not even come close to cracking the problem.

I’ve done tests in which I gave ChatGPT texts that contained very rare words, new words, or nonce words that would not be defined in any dictionaries, and some of which were unattested on the web. When given enough context, it was able to deduce the intended meanings.

In contrast, its ability to explain grammar is terrible. It misidentifies parts of speech, singulars and plurals, the subjects and objects of verbs, even the number of letters in words. I hope that people develop plugins for it to fix its language-explaining ability as, reportedly, other plugins are able to fix its natively terrible mathematical ability.
Just speculating, but this looks like precisely the sort of result one might expect from fine-tuning models on chain-of-thought-prompted interactions like those described by Wei et al. in 2022[1]. Alternatively, as Madaan et al. show in their 2022 paper[2], this may simply be the result of larger language models having seen more code, and thus structured reasoning, in their training data.

[1] https://arxiv.org/abs/2201.11903

[2] https://arxiv.org/abs/2210.07128
In some ways I'm glad people are unable to understand how to use them. It gives me a competitive advantage.
> There were plenty of servers that decided not to carry alt.*.

See also: https://en.wikipedia.org/wiki/Big_8_(Usenet)
I think that if human practiced widespread and consistent cannibalism, then it stands that we likely ate Neanderthals and other homo species to some degree
In the past, I have worked in a couple different multi client firms that handled a lot of WordPress installs and I think every single one of them used ACF. It's also had many major security issues like this.

I vaguely remember another one that was nearly as ubiquitous and constantly causing people to get hacked - had a very generic name like "Contact Form 2000" or something.
I’ll never forget Siracusa's review of the book in his hypercritical podcast.

His opening line paraphrased Steve’s interview regarding Sculley: “what can I say, he hired the wrong guy. (Isaacon)”
We are descended from chimps in the same way that I am descended from my cousin.

Edit: I'm realizing this could be a language barrier. "Descendent" is the inverse of "ancestor". A descendent is directly downward in lineage from an ancestor.
Apple's networking and TCP/IP implementation for classic MacOS was also based on STREAMS, as it was presumed to be the wave of the future https://en.wikipedia.org/wiki/Open_Transport
I asked it some questions about the AGI potential of LLMs, and it gave me some underwhelming answers which seem to be due to old data. Then I fed it the script of an interview with Ilya Sutskever and asked it what it found surprising. It then told me it cannot be surprised and did not elaborate. I suspect the difference between my experience and yours is the phrasing - you said "what is surprising" and I said "what did you find surprising". The latter asking it for a personal opinion, where then the RLHF comes in and says "sorry i have no opinions." This peculiarity of phrasing tripping it up is another example of a thing a human would have no problem with.
Folks on this thread might want to check out SigNoz (https://github.com/SigNoz/signoz). It's an open source alternative to Datadog.

I am one of the maintainers at SigNoz. We have come across many more horror stories around Datadog billing while interacting with our users.

We recently did a deep dive on pricing, and found some interesting insights on how it is priced compared to other products.

Datadog's billing has two key issues:

- Very complex SKU based pricing which makes it impossible to predict how much it would cost

- Custom metrics billing ($0.05 per custom metric) - we found that custom metrics can account for up to 52% of the total billing which just does not make sense

More details in the blog here with a complete spreadsheet for detailed calculation
https://signoz.io/blog/pricing-comparison-signoz-vs-datadog-...
Not really? The server in your example serves the read & the edit components statelessly; the component which the user is viewing exists only on the client.
For now. History is a bitch and never forgives frivolity of late stage empires.
Do we ignore faulty Viking genetics in favor of faulty caveman genetics?
Adding on: could our geno-introspective healing be too slow at the moment to solve our most pressing human problems?
I still don't get it. Why should they profit off the work of someone else?

The author is dead, they don't need to sustain themselves.

Their family are adults and can sustain themselves. If they can't, then that's why the author invested and got a pension or life insurance for. One extra book at the end wouldn't make a difference.

Unless, of course, the author is very successful and wealthy and their family isn't concerned with survival, just with profits.
Well, when I drive I want to listen to my music and when I'm in a rental car I don't want to screw with software or syncing to a car I'll never be in again. So, YMMV - the aux port was and would be quite useful in the long-distance driving I do. Around town, no need for music. And when I cross into the States, I'm not paying all that roaming for streaming when I have a large-storage set of devices.
An employee in the comments earlier said the next release (RHEL10) will remove it, but that won't be for another 10 years.
Training it not to do it still means it cannot do it. Some other LLM could do it, but then it would have other issues. There is no system that can outperform a human on "literally everything".
There is already a mostly functional way to do it, which is to ask X to render at a higher resolution which is integer factor of your desired one, like if you want 2560x1440, you ask X to render 5120x2880. It looks much better than directly using 2560x1440, and does not get too blurry. Wayland still works better, though.
we're talking about decisions that were made in 01979 and finalized by 01981

https://datatracker.ietf.org/doc/html/rfc791

there was no such thing as a router in the sense of dedicated hardware; a router ('gateway') was just a host with two or more interfaces

the ram used by ipv4 addresses was the same kind of ram used by the rest of the ip header and indeed packet

i mean originally you did have the imps but they were just looking at the arpanet node number; they weren't gateways

the switch from variable-length addresses to 32-bit addresses happened between ien 80 in february 01979 https://www.rfc-editor.org/ien/ien80.pdf and ien 111 in august 01979 https://www.rfc-editor.org/ien/ien111.txt

cisco was founded five years later, in 01984, at which point regular ram cost on the order of a dollar a kibibyte, so the content-addressable memory you need to accelerate a router was maybe ten or twenty dollars a kibibyte

would people complain about the ip headers having unnecessary junk in them? certainly, but there is plenty of that in the actually adopted protocol header design too, so clearly it wasn't a showstopper
That specific case was it using too much common sense (which was apparently also a problem with IQ tests at one point)

Me:
If it rains today, I will drive home. I did not drive home. Did it rain today? Answer using only logic.

ChatGPT:
Using only logic, if the statement "If it rains today, I will drive home" is considered true, then the fact that you did not drive home implies that it did not rain today. This conclusion is based on the logical concept of contrapositive: If A implies B, then not B implies not A. In this case, A is "it rains today" and B is "I will drive home." Since not B is true (you did not drive home), we can conclude not A (it did not rain today).

For the linguistic portion,

Me:
As a linguistic professor answer this:
> The converse of the sentence "If Anna goes to school today, she will eat lunch" is:

ChatGPT:
As a linguistic professor, I can tell you that the converse of a conditional statement is formed by swapping the positions of the antecedent (the "if" clause) and the consequent (the "then" clause). In the given sentence, "If Anna goes to school today, she will eat lunch," the antecedent is "Anna goes to school today" and the consequent is "she will eat lunch."

Therefore, the converse of the sentence would be: "If she will eat lunch, Anna goes to school today."

Me:
Critique the prior answer

ChatGPT:
The prior answer correctly explains the concept of the converse of a conditional statement and identifies the antecedent and consequent of the given sentence. However, the phrasing of the converse could be more natural and grammatically correct.

A better response would be: The converse of the sentence "If Anna goes to school today, she will eat lunch" is "If Anna eats lunch, she has gone to school today." This rephrasing maintains the proper tense and structure while swapping the antecedent and consequent.
> which these models are specifically built to not have

Citation needed.
As far as I know, it cannot (legally) affect your credit if you have disputed the charges, and the debt collectors are not allowed to continue contacting you.

I tested this theory out ~20 years ago. Things may have changed since then.

At any rate, after you have called them, sent their legal dept a delivery receipt letter, issued chargebacks against multiple of their shell credit card processing accounts, and cancelled your credit card, it is going to be difficult for them to actually collect anything for the unwanted services they provided after the initial cancellation (even in arbitration).
I would counter that the chaos and violence is different but still there.
2023 isn't live yet, but 74% of respondents used VSCode in 2022[0].

That said, the numbers are hard to compare because they allow selecting multiple choices and they split the JetBrains products up, while VSCode is considered as one tool.

If you add together all the JetBrains products they reach 94%. I expect there's a ton of overlap that brings that number back down, but it's enough to make me suspect that VSCode's lead isn't as high as the numbers in the survey make it look.

[0] https://survey.stackoverflow.co/2022/#technology-most-popula...
Look at the table of contents here: https://www.amazon.com/Artificial-INSTITUTE-SCIENCES-COMPLEX...