skysight-inc/HackerNews huggingface dataset:
How can you pay residuals on content that doesn't have recurring revenue? Before the playback was either tied to a sale or ads that played back against the content. Now there is no more money when someone streams it.

In other industries you only pay a person once and then that work is owned by whoever paid.
Sorry, I was mixing up the numerical answer and the choice number. The answer is choice #5 in the list; the numerical answer is 2.
Because money. Climate policy requires you to spend more of it and get less in return. Explain that to businesses and poor people.
In the store I worked in, which was a notable spot for people attempting credit card/gift card fraud and/or theft, the manager literally just gave me the override code because it happened so often I'd have him coming over like every 15 minutes to cancel something. We were also a super busy store at the same time as this so it would just leave a bunch of hyper-angry customers in line.
Only if it bioaccumulates faster than the half-life of the isotope reduces its presence. Strontium-90, e.g. has a half life of 28.5 years and a biological half life of 30 years http://hpschapters.org/northcarolina/NSDS/strontium.pdf
To play devil's advocate though, there's nothing wrong with creating something just to satisfy your own tastes. The problem comes with trying to pass yourself off as a professional artist using these tools.
I’d really like libraries to put the language they’re for in the description.

Especially anything AI-related seems to just assume everybody uses Python.
Ron Johnson was reelected as a senator without gerrymandering though.
Was this the Woven-ran 4 question (recommendation system, email junior, invoice, database schema) interview? If so, I think the 4 questions are pretty good. The issue is I've had the exact same interview 3 times now from 3 different companies who use Woven.

If not, it sounded quite similar.
Söderhavet is the Pacific? But that makes no sense, geographically!
Of course they'll say no. It presents a version of the technology that is not commonly done. Justification for their stubborn resistance to support the customer and the users is not relivant here.

We're still stuck filling out forms and passing validation to complete transactions.

My complaint here is that arrogance that POs and devs have in how humans operate with the software is way off. What happens if you want to buy out Aldi's entire stock of brie? Is it reasonable that you should be paying stockprice*quantity? (The answer outside of technology enforced rules is no.. Additionally to aldi corp, theres no reason not to offer a discount here) [Also, in practice they try to hack their way arround it by overriding the price]
Val, a high-level systems programming language
> "time nslookup"

Or as a slightly more thorough approach, you can use something like namebench or dnsbench:

https://code.google.com/archive/p/namebench

https://github.com/askmediagroup/dnsbench
Thought the same thing
For starters, the performance isn't competitive with gpt-3.5 and would lose money if they made it price-competitive.

OpenAI has a huge headstart on productizing these models by fine-tuning and optimizing their use quite a bit. And they have probably not actually made money when you consider the massive investment.

But this is still very big for people that need or want to run their own fine-tuned models privately.
Cochrane review doesn't make this distinction.

In medicine you cannot distinguish. It is all about the intervention and not about some theoretical best-case scenario.

The intervention is to ask people to wear masks. People comply as they do in real real life and then we measure the results. There was no reliable evidence that this made any noticeable difference.

Now you can change the intervention – instead of asking and mandating masks as we did, we could educate masks wearers more. Unfortunately we have no evidence that it helps.

Perhaps masking could help to an individual wearer? Alas, we didn't collect such evidence either.

Some studies are lab based. In those masks had some effect. But that's not how people use masks in real life, so these results don't mean much.
Maintaining "clever" code is incredibly hard because the only "clever" person is the one that wrote it, everyone else is "dumb" to it. One can take hours debugging clever code. Obvious code won't wow anyone but will be immediately understandable, which is an advantage in a team setting.
Go is basically C with training wheels, THAT CAN NEVER BE REMOVED.

It accelerates junior devs to production ready at the expense of everyone else.

It really feels like a language designed by people with utter contempt for those who actually write code.
Don't worry. DEI programs have this covered as well.

Stop using standardized tests to get in. And then just aim for the perfect "socially desirable" mix. Regardless of ability.
Author of the post here. I would love to hear thoughts on folks experience using the different architectures and more pros and cons to each one. There was surprisingly not a lot of information comparing these different architectures that I could find and I would love to be able to update this post with more details.
Parent poster: trickle-down economics definitely works. Just think about it.

Also parent: Why are people stagnating instead of moving up? It's a real puzzle.
but think of that one turtle! he had a straw lodged in his nose!
Why would you accelerate from geometry to algebra 1? Do you mean algebra 2?

My understanding is that at PAUSD they had two tests, one part that measured if you understood the core curriculum, and another that was more along the lines of brain teasers/math competition problems. You had to pass both (many passed the first but not the second). One issue was that the district seemed to cherry pick students to let them through; students would get access to accelerated classes even if they scored worse than other students who were blocked.
That's not the training objective though. It's like doing exams in school, there is no reason to admit you don't know so you might as well guess in the hopes of a few marks.
I'm reminded of the time when some kid wrote a script to crawl GitHub and create issues[1] about using inclusive language... except it was really dumb, for example: https://github.com/trekhleb/javascript-algorithms/pull/875/f...

[1] E.g.: https://github.com/EbookFoundation/free-programming-books/pu...
You can tease this out pretty easily by having it ask question before continuing. My attempt addressed the ambiguity as the first question:

https://chat.openai.com/share/462a7f62-6305-4e2a-a9ae-5f86a6...

I'll often do this, along with "Are there any mistakes in the above?" or something like "Did this fully address the problem statement?"
I always thought that "confabulate" would have been the best word to describe what LLMs do:

> Confabulation is distinguished from lying as there is no intent to deceive and the person is unaware the information is false. Although individuals can present blatantly false information, confabulation can also seem to be coherent, internally consistent, and relatively normal.

> Can include autobiographical and non-personal information, such as historical facts, fairy-tales, or other aspects of semantic memory.

> The account can be fantastic or coherent.

> Both the premise and the details of the account can be false.

> The account is usually drawn from the patient's memory of actual experiences, including past and current thoughts.

> The patient is unaware of the accounts' distortions or inappropriateness, and is not concerned when errors are pointed out.

> There is no hidden motivation behind the account.

https://en.wikipedia.org/wiki/Confabulation#Description
I asked llama2.ai for some personal advice to see what insights it might offer, it responded:

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What is your biggest concern? I would think key loggers are a more common threat than attacks on the password manager directly, especially if you're running something niche. What else do you gain from keeping it air gapped?
> I have not seen Apple demonstrate ML depth in their talent

I thought the ml work they do in photos for text selection and facial recognition is pretty neat.
I think these tools are much more like a calculator for what is the mechanical part of the human arts - writing, visualization, and others (beyond that I think those use cases are not that interesting, there’s a whole non linear optimization angle I think gets lost in the LLM noise). The “art” they produce on their own with minimal ingenuity is boring. But they also democratize the mechanical skill of rendering images and language, and the intent and manipulation of the semantic space through language, inpainting, LORA, etc - that’s all human induced and human creativity. I think we will find in our future we will be awash in brilliant human arts, assisted by machines, being used to amplify the creativity of people who were before hindered by their skill at the craft of art or the mechanics of writing, much as many brilliant mathematicians and physicists are poor at arithmetic and are greatly assisted by machines in their day to day work.
My mum worked through FI for a while. Seemed to be a force for good.

(My mum taught me to program, and was my FORTRAN virtual machine for my first programs!)
with attribute selectors like what you have mentioned it would work. But `$('#Fish & Chips')` most certainly will not, since jQuery would throw a syntax error.
I'm not claiming to know anything. I'm just asking that those who do make such claims be a little less gnomic in their commentary, so that the rest of us can evaluate whether or not you're talking nonsense.
This kind of code is very common among folks who learned JS using jQuery ten years ago and never tried to learn anything else since that time.
They probably got access to all the Facebook and Instagram data used to train Llama2 to use for their own model training.
I was really impressed when the cashier at my neighborhood supermarket recently transferred my order in progress over to an empty lane so that I could deal with a credit card issue without delaying the people behind me. Seems like an obvious function but it had never even occurred to me!
It's just an honest disagreement. I don't think your opinion is the way, but I don't begrudge it.

I'm just not an ideologue. What matters to me is having as much software tooling that is as useful to me as possible. I consider tools that I can modify and run myself to be more useful than those that are proprietary. But I don't require or demand the ability to re-sell someone else's software; that isn't a capability that is useful to me. That capability is pretty much entirely only useful to Amazon and Google, and that's just not something I care about optimizing for.
Random example - various projects Google does that are basically to help the world, e.g. help forecast floods. https://blog.google/outreach-initiatives/sustainability/floo...
> Are you saying that OOP isn't solving any problem?

I certainly would. More precisely, I don’t see OOP having any comparative advantage. I don’t see it being the most suitable tool for any job. Except maybe GUI. And even then I have my doubts.

The actor model though is pretty cool.
This is a bit like driving drunk and believing that things will be OK because until now the road has been mostly clear and you've only swerved a couple of times. It's totally possible that things will turn out not so bad, you'll get home without hurting yourself or anybody else, and you'll sleep it off. Or you will murder somebody in cold blood with your car. Worth the risk?
Junior as in non-expert in the field. Using simplistic languages means optimizing for quickly pumping out code (at the expense of maintainability in the case of golang, as I've personally experienced at an employer that has one of the largest golang setups on the planet). Not to mention that golang comes with its own set of gotcha's and idiosyncrasies that need to be understood, especially in more involved programs.

There's a good middle ground that can and has been achieved by other languages.
Oops, my bad, I missed that.
> Wisconsin is already blue.

Not sure how you can say that. Trump won Wisconsin in 2016, and Biden just barely won Wisconsin in 2020. Democratic Governor Tony Evers squeaked out a 1% victory in 2018 over Scott Walker. His reelection margin last year was a little higher at 3%, but Republican Senator Ron Johnson also won reelection last year by 1%. These were all statewide races, where redistricting was irrelevant.

It's a quintessential swing state.
It's perfect until you want something specific, then it's a pain in the ass. Even with LoRA models and ControlNet and everything else, the lack of any essential control is always going to be limiting.
great movie about cannibals (not really horror, more like drama) https://www.themoviedb.org/movie/10212-ravenous
The crap performance comes from bloat, not from too simple code. I also see precious little maintenance going on, at least compared to jumping ship to something even shinier and with even more eternal tech every few years. Microsoft promised Win10 to be the last one and then instantly changed their tune because of pure business reasons.

And some code gets run on so many devices, by so many users. If starting a phone call took 0.1 seconds longer for all humans on the planet for the next 20 years, even a huge team saving 50 years of their life by cutting a corner and not reducing the delay each would have destroyed more than they gained. And everyone of us uses thousands of programs, millions all in all, and if they all started to prioritize the resources of their makers over yours, it would outpace whatever you can as an individual gain by outsourcing your costs in the same way.

Of course I'm not saying spend twice the time to squeeze out 1% more performance for an installer that's run once. But we are not at risk of that anytime soon; instead we're more in a situation where some people people ship or advocate things that are 10-100 as big as other programs doing the exact same thing, and are ass-backwards and regressive in so many ways. All these github repos with 20 config files and dozens of folders many levels deep, with the "actual" code fitting on a napkin if you added it up, plus a "one-line" install that kicks of a cascade with a gazillion possible failure points. [1]

Partly because so many people flat out don't care, as if actually knowing what is going on under the hood, how the words in the text editor translate into a process, and the wider world it's embedded in, was somehow beneath them (and then they turn around and correctly complain about their managers who treat them like they treat their machines and users). But I think mostly because of this desire to re-invent something badly with a lot of fanfare and in doing that help keep the better thing that exists obscure (especially if that thing is free). That's the majority of professional software development it seems, so I don't worry about which of the laid off people will maintain the discontinued products too much.

[1] Remember NASA World Wind? They had a perfectly fine desktop app before Google Earth existed. Now they have a nodejs thing, so I thought okay, that is something I'll install node for. Alas: https://i.imgur.com/G4mQxjb.png <-- that's the "installer" segfaulting and leaving everything as is. I haven't seen something that bad in like... ever.

And I don't care that I can just roll back, or should have done it in a VM or docker. This, to me, is a joke, and I am not interested in fixing it or using a VM image or anything. I wish the people who maintain that sort of stuff the very best, I think they'll need it.
Passion can be good, but it must also be measured. I was in a similar situation for several years where I ended up running the show. Was super passionate about the project and doing all the things...

Ended up horribly burnt out, to the point that I'm still struggling with the idea of working 2 years later.
As far as well can tell, all of the previous mass extinctions were due primarily to climate change.

Your prediction has no evidence behind it. On the contrary, the evidence suggests that we are currently at the beginning of a mass extinction event. It’s not that there will be a mass extinction if we don’t stop. It’s already started my dude.
Most of the current denial around climate change now is whether humans are causing it and have the power to reverse it. On one side, there is hope that we can change our habits and lifestyles to reverse or at least slow down the effects, the other side thinks that any change by us won't help so why change at all?
In my home country of South Africa the department of education decided the best way to deal with high failure rates among students with maths was to lower the bar by introducing a "maths literacy" course and allowing people to take it instead of proper maths.

Unsurprisingly, it was a bit of a disaster.
> movies don’t ever have any actual hard science, and they never require mathematical thinking on their viewership

Um, no, I haven't noticed that. In fact I've seen "this movie is based on hard science!" as being a generally positive selling point for movies, especially sci-fi. I also don't really understand your point: movies and pop novels generally do well when they require very little thinking of any kind. They don't require musical thinking or spatio-temporal thinking or logical thinking or kinesthetic thinking or intrapersonal thinking either. Nor do most of our passtimes. That does not make them anti-intellectual.

> our culture-makers

Who?
That's the 13B model. If you want something comparable to GPT3.5 you must use the 70B.
You could of course also answer 'I don't know' which to me is a correct answer, far more so than something you made up.
- Do this and watch science magically fix itself.

Imagine same approach in politics. If some politics put lies in their speeches to manipulate with people, we should call them liers and put them in prison. But somehow it doesn't happen. Looks like society prefer conformity over responsibility.
robots.txt is like attempting to remind the Terminator about Asimov's Three Laws.
Haha yep, I meant to accelerate to Algebra 2 in 9th grade.

> another that was more along the lines of brain teasers/math competition problems. You had to pass both (many passed the first but not the second)

Same with my district. I attended a HS that is a peer to Gunn here in the Bay Area.
Can you speak to how much you and your peers think early depth of exposure matters compared to confidence in the basics?
Cython 3.0 Released
This is 100% normal and happens in America. It's a huge reason why hard seltzers took off. (They're brewed instead of distilled)

On top of this, you can have local based taxes or tax breaks. (I.e. Chicago has a bag tax, leave the city.. no bag tax)

https://www.efile.com/unusual-strange-funny-taxes-throughout...
I would beg to differ.

On Github[0], Go currently sits at #3 for pull request volume (C# is at 10), #3 for stars (C# is at 8), #6 for pushes/commits (C# is at 10) and #6 for issues opened (C# is at 9). By each of those metrics, Go has a significantly more vibrant ecosystem than C#.

[0]: https://madnight.github.io/githut/#/pull_requests/2023/2
Making OpenBSD look like Ubuntu Linux
Kids need time to free roam and just be. Always being fed more information in controlled environments is not good for the psyche or their creativity.
My question was about promotions - other engineering professions definitely have promotions, and those promotions come with >3% pay rises.

Also, even without boom times top engineers will still make a lot of money because top positions are still insanely hard to fill. I know of several top companies with L8+ positions that have been sitting vacant for over a year, competition for these candidates is fierce.
Your response makes me wonder if the idea is not that RL can give more optimal solutions, but perhaps more robust ones?

This is giving a ton of charity to the opening post, but fun for me to consider. As you say, given a model, if it is bounded than LP is an obvious route to get optimal. However, models being what they are, there are often times when the prescribed solution is unrealizable for reasons. Reinforcement learning being what it is, is an interesting way to add new features to a model that can "cost in" the penalties that come from non-realized optimal solutions.

That make sense? I'm assuming this has been studied, and I simply don't know the names to look into.
If so then that means the training objective is wrong because admitting you do not know something is much more a hallmark of intelligence than any attempt to 'hallucinate' (I don't like that word, I prefer 'make up') an answer.
cvxpy dev here. We have an intern project to improve the docs, in particular making the list of functions easier to navigate/search. Agreed there is room for improvement right now...
> Schema objects can't be manipulated as a batch,

I would make a partitioned table, and put each partition in its own schema.
> I am a lazy manager then

Indeed. From the sounds of that it sounds like you don't have the full picture at all.
My LLM command-line tool can now access Llama 2 via the Replicate API using a new llm-replicate plugin - I wrote about that here: https://simonwillison.net/2023/Jul/18/accessing-llama-2/

The tool logs all prompts and responses to a SQLite database, so it's great for comparing results from different models.
Very cool; thanks for sharing.

I have had this saved as a bookmark for a few years now: https://archive.org/web/geocities.php

There is just so much there that it's fun to come back to every now and then to poke around and see what you find.
Back then though, there was less surveillance , less of a feeling of alienation among your countrymen. Nowadays, you'd be hard pressed to find anyone willing to join some revolution
Ask HN: Any UK/EU contractors have any luck finding US contracts?
The market here in the UK is awful for contractors right now – both in terms of the quantity of jobs and the rates.

I'm wondering if anyone here has had luck (or tips) finding US contract roles while based in the UK/EU?

I'd be more than happy to work US office times, but obviously I would be looking for a role that's happy for me to work remote.
Yeah, while it's not as thorough as these tools, the method is at least reproducible and sane, and with ~10 or so samples, you get an interval with a nice confidence.

Another through method will be hyperfine[0], yet I wanted to provide a method which requires no installation and can be done in a whim, without jumps and hoops, with the tools already at hand.

[0]: https://github.com/sharkdp/hyperfine
Sorry, I know HN isn’t a support forum, but am I the only one who gets “Safari couldn’t establish a secure connection” to any of the archive.xx sites? It’s been happening for ages now.
If somebody from Github is reading this: when will merge queues land in Github Enterprise Server? I work on a project that badly needs the feature.