skysight-inc/HackerNews huggingface dataset:
I am using ChatGPT to write the genetic boilerplate that e.g. many funding applications require. Ethics statements or inclusivity policies etc where the contents are largely predefined and known by everybody but still have to be written in prose instead of e.g. clicking boxes.
Latency (ttft) would be a nice metric.
> convincing companies to open up what source code they can, or working for open source companies.

Yeah, no, you don't get it. Sorry.
I saw this a few weeks ago, haven't tested it yet but it looked cool and not so pricey: https://modal.com/

The three musketeers of cloud also allow you to use GPUs but it may be harder to get, especially GCP that needs human whitelisting of your request to use GPU instances.
Chip Packaging Trumps EDA: Why Synopsys Is Paying $35B for Ansys
Some kind of capitalistic horseshoe theory maybe?

"Seeking max profits always leads to the same point, regardless of where you start."
Before all this there has been GNC, taking advantage of the health conscious and gym rats.

As well as a whole Whole Foods aisle dedicated to supplements and natural substances but can’t carry Aspirin! It irks me that they can’t carry aspirin and basic OTCs you can get at a 7-11.
Isn't that exactly the modern, AI based, mouse and keyboard BOT? (trained with click farms)
Ned Ludd was onto something. He wasn't anti-progress. He was anti-labour theft. The problem was not that people were losing their jobs, but that they were being punished by society for losing their jobs and not being given the ability to adapt, all to satisfy the greed of the ownership class.

I am hearing a strong rhyme.

Commercialized LLMs are absolutely labour theft even if they are useful.
Dehydrated cashews are definitely not going to sprout...
The issue at hand is not if some words were copied; it's a legal issue of whether that constitutes legal or otherwise fair use or not. And I'm not a lawyer, and am happy to wait for the court to decide.

But to be honest, I don't really care one way or the other, since it doesn't get to the heart of the matter as I see it. To my mind, it's no different than a human with a good memory doing the same thing.

Specifically, it isn't the consumption of the media that is the problem, or even remembering it very well. Rather, it is the public verbatim reproduction of it, which a human might inappropriately do as well. AI's need to be trained to avoid unfair use of source material, but I don't think that means they should be prohibited from consuming public material.
Leaded gas isn't open source software. Try again.
this is just the general european disdain for america masked as an intellectual analysis
Making a picture in the style of an artist is not replacing them. I don't know why anyone could get that idea. I can sing in the style Janice Joplin, pretty sure I'm not replacing her and that nobody thinks I am.
What many people do in this case is to keep the money for the next time you visit the country. (or as souvenirs)
Jobs have never been less soul crushing, or more creative, in the history of humanity. And that becomes increasingly true every decade.

Do you know what a job does? What a company does? It contributes to society! It produces something that someone else values. That they value so much they're willing to pay for it. Being part of this isn't a bad thing. It's what makes society work.

A job/company entertains. It keeps things clean. It transports people to where they need to go. It produces. It gives people things they want. It creates tools, and paints, and nails, and shirts. I look out my window, and I see people delivering furniture, chefs cooking food and selling it out of trucks, keepers maintaining grounds, people walking dogs.

Being useful to the fellow members of your society for 40 hours a week is not "soul crushing."
Do you have any examples?

And this is not trendy niche marketing, these are things that are inconsistent with basic models of biology/chemistry/physics/statistics.
It’s like laundering gullibility and turning it into political influence which they then wield as a weapon against society’s best interests.
> The results of your program will vary depending on the exact make of your compiler and other random attributes of your compile environment, which can wreak havoc if you have code that absolutely wants bit-identical results. This doesn't matter for everybody, but there are some domains where this can be a non-starter (e.g., multiplayer game code).

This already shouldn't be assumed, because even the same code, compiler, and flags can produce different floating point results on different CPU targets. With the world increasingly split over x86_64 and aarch64, with more to come, it would be unwise to assume they produce the same exact numbers.

Often this comes down to acceptable implementation defined behavior, e.g. temporarily using an 80-bit floating register despite the result being coerced to 64 bits, or using an FMA instruction that loses less precision than separate multiply and add instructions.

Portable results should come from integers (even if used to simulate rationals and fixed point), not floats. I understand that's not easy with multiplayer games, but doing so with floats is simply impossible because of what is left as implementation-defined in our language standards.
As Heidegger once said, "Get out of bed Hannah, quick, my wife is coming over!"
GenAI reduces the fixed cost of creating images/text/whatever which all else equal will increase the amount created. Whether or not you think that is a good thing is probably mostly a function of do you make money creating these things or do you pay money to have these things created.
It's a popular over-generalization, made purposefully for humor.
And yet, Comcast and AT&T will gladly terminate any customer on their network pirating copyrighted works from large corporate owners. It seems to me like we very much can do something about AI infringement.
For me, the biggest quality drop literally happened overnight. It was when they removed the PLUS operator and any other changes that they made that same day. There was many other small changes that made it worst, but that's nothing in comparison. I think that was the day Google became evil.
I sue people for copyright infringement frequently. It's rare that I have a defendant whose defense is "the internet is full of other infringers, why should I be held responsible?" Never have they won. This debate would go better if people didn't base it on assumptions they gleam from the world around them, but with regard to the actual law and not specious reasoning like "well, they did it too!!"
Both of them use linear types and something kinda vaguely like Rust move semantics (and, in the case of Hobbes, time & space sandboxes) to guarantee statically that code will execute within given time and/or space bounds. I also wrote (~20 years ago) an extension of Erlang that could do something similar (for small subsets of Erlang).

Granted, this doesn't fulfill all the requirements for being resilient, but if we manage to make it usable (let's say as usable as Rust), it would be a pretty large step forward.
No idea on the legality, but common sense suggests that the difference would be that a spam detector doesn't replace the products that it was trained on, while AI-generated "art" is intended to replace human artists.
For what it's worth: that's pretty much how Translate works.

Translate operates at a large-chunk resolution, and one of the insights in solving the problem was the idea that you can often get a pretty-good-enough translation by swapping a whole sentence for another whole sentence. So they ingest vast amounts of pre-translated content (the UN publications are a great source, because they have to be published in the language of every member nation), align it for sentence- and paragraph-match, and feed the translation engine at that level.

It's created an uncanny amount of accuracy in the result, and it's basically fed wholesale by the diligent work of translators who were not asked their consent to feed that beast. Almost nobody bats an eye about this because the value (letting people using different languages communicate with each other) grossly outstrips the opportunity cost of lost human translator work, and even the translators are, in general, in favor of it; they aren't going to be displaced because (a) it doesn't really work in realtime (yet), (b) it can't handle any of the deeper signal (body language, tone, nuance) of face-to-face negotiation, and (c) languages are living things that constantly evolve, and human translators handle novel constructs way better than the machines do (so in high-touch political environments, they matter; the machines have replaced translators in roles like "rewriting instruction manuals" that were always pretty under-served in the first place).
That point is when Tesla starts declining in absolute terms. And Tesla grew 35% in 2023. To be a long-term positive, dismissing Musk should produce even higher growth rates- which sounds extremely implausible. Conversely, the probability of Tesla falling into irrelevance in a future without Musk is extremely high.
Nothing in your link says healthier
I think the first assumption should be a boring old battery. Probably some lead acid type, since discharge would be very very rare.
And this is before people start poisoning the well. Google search worked better in a world without Google search. I suspect many AI systems will run into similar issues.
The Mousterian (Neanderthal industry) is even more extreme example. Extant for 120 000 years, fairly similar from Portugal to Mongolia, in absence of any known long-distance trade network.
AWS Reserved Instance Discounts no longer transferrable
> That can be said by the development of any technology. Fear of capital concentration is more a critique on capitalism than it is on technological development.

Technology does not exist in a vacuum. All of the utility and relevance of technology to humans is dependent on the social and economic conditions in which that technology is developed and deployed. One cannot possibly critique technology without also critiquing a social system, and typically a critique of technology is precisely a critique about its potential abuses in a given social system. And yes, that's what I'm attempting to do here.

> I don't think this adds anything to the argument besides you using this as a reason analogies with humans can't be used to compare the specific concept of inspired works? I don't think this holds up.

This is a fair point. One could argue that an LLM, properly considered, is just another tool in the artist's toolbox. I think a major distinction though, between and LLM and, say, a paintbrush or even a text-editor, or photoshop, is that these tools do not have content baked into them. An LLM is in a different class insofar as it is not simply a tool, but is also partially the content.

The use of two different LLMs by the same artist, with a the same prompt, will produce different results regardless of the intent of the so called artist/user. The use of a different paintbrush, by the same artist, with the same pictorial intention may produce slightly different results due to material conditions, but the artist is able to consciously and partially deterministically constrain the result. In the LLLM case, the tool itself is a partial realization of the output already and that output is trained on masses of works of unknown individuals.

I think this is a key difference in the "AI as art tool" case. A traditional tool does not harbor intentionality, or digital information. It may constrain the type of work you can produce with it, but it does not have inherent, specific forms that it produces regardless of user intent. LLMs are a different beast in this sense.

Law is a realization of the societal values we want to uphold. Just as we can't in principle claim that training of LLMs on scores of existing work is wrong solely due to the technical function of LLMs, we cannot claim that this process shouldn't be subject to constraints and laws due to the technical function of LLMs and/or human beings, which is precisely what the arguments by analogy try to do. They boil down to "well it can't be illegal since humans basically do the same thing" which is a hyper-reductive viewpoint that ignores both the complexities and novelty of the situation and the role of law in shaping willful societal structure, and not just "adhering" to natural facts.
To be fair there's been a research app available for over 5 years (launched in 2014, I first used it in 2018/19)

https://merlin.allaboutbirds.org/the-story/

Also, from the main article,

> According to Swarovski, the development of the AX Visio took approximately five years,
Real, but naive, question: does TensorFlow have meaningful share outside Google? I've been in the HuggingFace ecosystem and it's overwhelmingly PyTorch, IIRC 93%, (I can't find the blog post that said it, but only gave it 2 minutes)
No, but soaking is going to break down chemicals like phytic acid that lock up nutrients.
How many hours, days, weeks of thinking?
The rule does not implement the ABC test from California. Indeed, the DOL has gone on at length about why it believes it cannot do that.

Unlike the Cal Supreme Court decision in Dynamex and the subsequent AB5 legislation, which _presumes_ a worker is an employee unless their work passes each prong of the ABC test, DOL still has the burden of proof under this rule.

Your biggest risk was actually the PRO Act, and it will never pass.

And if you have multiple clients who have limited control over how you do your work, you're a bona fide independent supplier anyway.
It may have taken 5 minutes to write the code, but it sounds like they spent years thinking about the change to make.
Is it an intolerance to the fungus itself or to one of their metabolic products, like a particular complex sugar or fusel oil, that end up being metabolized by your own intestinal flora to your detriment?
You're getting downvoted, but I kind of agree. That's a terrible name for a company that has nothing to do with cockroaches. They might as well call themselves "Garbage Labs" or "Refuse Labs."
As a web developer, it’s less about me caring and more about my boss caring.

If anything, give the C-suites the shitbox laptops.
So people who live in a food dessert secretly don't really want any vegetables?
Don't put the cart before the horse. What art will we have for AI to copy if there's no more artists next generation?
these precedents have been in place for years, this is just covering "gig workers" with the same protections contractors have had for a very long time.

For everyone else, this person is just spreading FUD. I think it was in the early aughts when these tests first started to go into effect because companies would have 95%+ of their workforce be contractors as a means to avoid taxes but would treat them like employees (setting their hours, etc).

It turns out the government doesn't like it when you try to avoid paying taxes, so these tests went into effect.

This is just an extension of that to cover gig workers and the largest point of contention is going to be whether or not these gig workers can _regularly_ turn down work without being "fired".

tech companies here are trapped between a rock and a hard place. Either they're working with contractors who can turn down work without negative repercussions and risk not serving customers or they admit these workers don't actually have a choice because they need to serve customers in a timely fashion.
I assume it's because eleuthero root and cordyceps mushrooms are real things, while "nascent iodine" is made up. It is a marketing term for woo-woo supplements, not a technical term.
Clickbait.

I have taken a lot of these in the past, and the label "pseudoscientific" is unwarranted. The "writer" cherrypicks and generalizes data to discount it, but if you want to understand the mechanism of, say, Ashwagandha, you probably should spend a few hours reading research and meta-analyses and not spending 10 minutes on Google to decide if it's "good" or "pseudoscience".

Should these companies not be allowed to advertise and distribute products that might help some and might hurt others? Should tech writers write health articles when they don't know what they're talking about?
I wouldn't be able to guess.

Plus side: Smaller more focused model with lower rate of falsehoods.

Minus side: it kant reed txt ritten liek this, buuuut dat only matters wen nrml uzers akchuly wanna computr dat wrks wif dis style o ritin lol

I suspect there is a lot of value in the latter, and while I don't expect it to be as much as the value in the former, I wouldn't want to gamble very much either way.
We have this (and other more detailed metrics) on the models page https://artificialanalysis.ai/models if you scroll down and for individual hosts if you click into a model (nav or click one of the model bars/bubbles) :)

There are some interesting views of throughput vs. latency whereby some models are slower to the first chunk but faster for subsequent chunks and vice versa, and so suit different use cases (e.g. if just want a true/false vs. more detailed model responses)
Paul Graham wrote an Arabic word processor in 1982 or 83
I certainly use the blurb in search results at times to get an alternative to the original author (especially if the blurbed content is paywalled).
https://wiki.mutable.ai/symfony/symfony
I'm just saying that the information staying on the device is aspirational.

I see that this skepticism has offended.
Sure it does:

> "The desirable nutritional changes that occur during sprouting are mainly due to the breakdown of complex compounds into a more simple form, transformation into essential constituents and breakdown of nutritionally undesirable constituents. This is a reason why sprouts are also called pre-digested foods."[12]
Similar story about lager yeast:
https://news.ycombinator.com/item?id=35726235
Hey. Thanks. Sorry about wasting your time. Shouldn't have started in the first place. It was my fault for trying to make a silly point.

Too mid to understand your point.
No, not really. Brassica oleracea is a single species manually cultivated by humans into variety of forms that are known by different names. Orchids are a huge family of plants. If anything, you should compare them to all Brassicaceae. A quick refresher: Brassicaceae family aside from that notorious Brassica oleracea also contains such things as mustard and horseradish, and even Brassica genus alone contains a whole lot of things that are completely unlike all these Brassica oleracea varieties. And Brassicaceae family is 5 times smaller than Orchidaceae, in terms of number of species.

So this is a silly comparison. Talking about all "orchids" is talking about like 15% of all flowering plants. In fact, I would say that even the mere fact that somebody knows a common English word to name all "orchids" kinda suggests that the family is not that diverse… Except, an even larger family is Asteraceae, and they probably look even more like each other.

(That said, I actually have no idea why all these broccoli, kale, etc are still considered a single species. Can you really easily cross-bred modern specimens of broccoli and kale?)
Uber is closing alcohol delivery service Drizly three years after acquistion
There is a lot of noise from VC-types about how AI copilots turn random outsourced devs into 10x engineers. My experience is that it's pretty good at writing boilerplate, that is - it saves me typing what I would expended little thought in typing. I suspect this is where most of the productivity statistics are coming from. Co-pilot especially seems prone to hallucinating APIs or suggesting entire functions that are wrong, repetitive, or even dangerous. This is the case even for side projects where I'm working with public python libraries which should be like the best case scenario. It's generally better than IDE autocomplete when I already am familiar with the API and so can catch the errors.

I will say GPT-4 is mostly better than referencing stack-overflow or library documentation. Maybe once that gets fast/cheap enough to use as co-pilot we'll see some of these mythical productivity gains.
It's not so simple.

For example Windows takes over GPU memory control, it virtualizes it, and allocates it to various applications, zeros it, etc...
I see what you mean but there's a huge gap between a "good enough" mental model of how computers work and the actual in-depth details that GP means and that have been successfully abstracted away from us. For example: the amount of cases when I have needed to know about the details of how the transistors in RAM chips are laid out have been extremely minimal. Nor have I ever had to worry about the encoding scheme used by the transceivers for the optical fibers that my TCP packets move across.

Obviously there jobs out there that do have to worry about these things (mostly at companies like TSMC and Cisco), but in practice I doubt regular engineers at even the largest scale software companies have to worry about stuff like that.
There are genres of text that have little to do with the writer's beliefs and are a kind of formality with contents known by all interested parties beforehand. Sort of elaborate prose versions of "I Agree With the Terms and Conditions" textboxes.
Also referenced in the Metro Exodus "Sam's Story" DLC because of the backstory of the two characters speaking, and nuclear weapons once again being part of the scenario.
No its a mentality that has been in corporate for decades. The best way for IT to not get in trouble is to lock everything down and define strict policies that prevent any ambiguity and define peoples work requirements in strict categories. This used to be easier with the advent of timeshared terminals but the advent of desktop computing caught them off guard. Now they have done their best to seize back control so much so that it strangles companies to death(as faster moving startups don't have this problem and innovation at the big companies stall)
This is certainly the first commentary on the subject that made me _feel_ anything, so hats off to the author.

The generative AI that is changing the world today was built off the work of three groups - software developers, Reddit comment writers, and digital artists. The Reddit comment writers released their rights long ago and do not care. We are left with software developers and digital artists.

In general, the software developers were richly paid, the digital artists were not. The software developers released their work open to modification; the artists did not. Perhaps most importantly, software developers created the generative AIs, so in a way it is a creation of our own; cannibalizing your own profession is a much different feeling than having yours devoured by another alien group.

If Washington must burn, let it be the British and not the Martians. How might we have reacted if what has been done was not by our own hand?
I would want to be able to use native code though (with all of the access that is possible with native code); of course such native code extensions would not be possible to add to a spreadsheet file and you must add them to a configuration file instead (both for security and to avoid unportability).

(It does not necessarily mean that WASM is not also possible. If it is, then some kinds of native extensions might be possible to convert to WASM if you want the portability and security that it involves.)
Thank you so much for putting this together, I've spent countless hours reading and learning from your posts.. Sorry I don't have anything to add, just wanted to share how greatly I appreciate you taking the time to share your knowledge.
Didn’t mean to come off rude. I do sincerely appreciate the advice. Just trying to cope with intense anxiety and stress with humor. Sry about that
Why should we care about your apathy?