skysight-inc/HackerNews huggingface dataset:
If I was taking the fight to a bigcorp, I'd probably do the following:

* see if I knew anyone on the inside (linkedin, slacks) who could shed more light

* see if there was a government agency with authority. I've had luck using this avenues to get bigcos to pay attention

* make a stink (publish a blog post, tag them on twitter) as best as you can. Don't be mean or childish, but bad press is no fun for a bigco.

* review the terms of service carefully yourself and see if there are any ways to escalate

* reach out to past happy customers on the platform and let them know of your issue. They might be able to send a message in support.

If you have money to spend, you could ask a lawyer to review terms and conditions, but my guess is they're pretty airtight.
The speakers on a mac are better than headphones? ...REALLY?!
Ultimately the whole number of jobs will decrease, in the same way that cars didn't create new jobs for horses.

I'm definitely not opposed to post scarcity. I do wonder how you feel about the replacement of social "jobs" in the world. Models like GPT roleplay a girlfriend, parent, colleague at least as well as it roleplays a developer or a scriptwriter. I don't think many people have those consequences in mind yet.
Im in NYC right now and a specialist at cost reduction, growth, and a couple other things. Happy to swing by, sign an nda, and tell you how to fix this. (I currently advise 3 unicorns when they need me for various functions)
>views Russia as something to be contained.

Contained within it's borders. You mean like constrained from territorial expansion and annexation of neighbouring territory? Yes. Just as all the European countries are contained within their borders.

Being constrained within your borders should be the default for everyone. The fact that Moscow has a president that doesn't think that way is exactly the problem NATO was created to deal with.

I'm a realist, I know there are cases when military interventions are necessary. Preventing genocide in Kosovo, kicking the Iraqi army out of Kuwait. There can be messy situations where the right course of action isn't clear, but Ukraine is not one of those. Flat out annexing large swathes of neighbouring countries is precisely the problem NATO was created to counter. It turns out for very, very good reason.
People keep saying this, pointing out the "mistakes with confidence" aspect of LLMs, but as someone who is continually amazed by ChatGPT and finds it very useful in my day-to-day, it's hard for me to take this objection seriously if presented as a reason not to use AI.

That is, for me, the output of ChatGPT or other AI tools is the starting point of my investigation, not the end output. Yes, if you just blindly paste the output from an AI tool you're going to have a bad time, but we also standardize code reviews into the human code-writing process - this isn't that different.

Just giving one specific example, I find ChatGPT to my an incredibly efficient "documentation lookup tool". E.g. it's great if I'm working with a new technology or API and I want to know "what my options are", but I don't know what keywords to search for, it can help give me a really good "lay of the land", and from there I can read on my own to get more specifics.
What would you have them do? March tens of thousands of young Europeans into the trenches?
An important legislative step for this is that anyone creating and publishing an AI learning model needs to be able to cite their sources - in this case, a list of all the github repositories and files therein, along with their licenses.

If that is made mandatory, only then can these lists actually be checked against licenses.

There will also need to be a trial license, to establish whether an AI learning model can be considered derived from a licensed open source project - and therefore whether it falls under the license.

And finally, we'll likely get updated versions of the various OSS licenses that include a specific statement on e.g. usage within AI / machine learning.
No it's not healthy in my opinion. A drug addict doesn't exactly have a choice when he uses drugs.

Aspects of human behavior in aggregate are so predictable it's basically deterministic.

If AI one day matches or surpasses human intelligence it is obvious humanity will exploit that AI as it already is doing now. There is no actual "choice" here. Just an illusion of it.
If your paper goes to a british reviewer, or to a lesser extent an USA one, you are guaranteed to have your english called out. We even hired external translators to polish the paper. Some (british) reviewers had returned the paper with "needs total rewrite, I can't understand the english", while the other says just "minor corrections" non language related.

I'm going to use GPT from now on, zero doubt.
With them dropping XCode support for older than Ventura, a lot of devs will be forced to upgrade to Macs.
We were alive and following the news when it happened. I'm not exactly sure what makes you doubt this. It's pretty well-reported. They fought on the outskirts of Kyiv, lost a bunch of troops and material, and eventually withdrew when they couldn't make any further progress.
Neurocognitive and psychiatric symptoms following infection with Covid-19
Which surprised even the Undertaker at the time...
https://www.youtube.com/watch?v=wS110ggmHIM
Japan’s bear meat vending machine proves a surprising success
It’s not a database format, it’s an image format. They are typically used in conjunction with a graphical display capable of rendering these images.

I don’t think many of these legacy BE systems have such a thing. AFAIK most of these systems are headless: supercomputers with Power10, networking equipment, old SPARC servers, etc.
>so people buy their imaginary currency.

While I think you're correct regarding the crypto bros, every fiat currency is imaginary.
Salary growth leads inflation in virtually all cases, and in this one too.

(Realized I can still edit: reply after reply is trying to interpret this as a statement about causality, which it emphatically is not. I'm just saying that ordering is complicated in feedback systems, and that the needed salary growth to compensate for existing inflation largely already happened. This is doubly or triply true for the tech salaries people here are making.)
There is one thing that's killing them, where they could stand to automate.

Their sales and purchase-order process is also still manual; people answering emails by hand and filling out (literal carbon paper) triplicate work orders. But their aerospace customers have gone to zero-inventory kanban-style resource management, and that's a system that assumes a certain level of automation. We're talking companies placing orders by machine that then auto-generates the emails, where an email at 9AM says they need 400 of a widget by next month, an order update at 1PM says to cancel 200 of those, another update at 3PM says add an additional 500, and a final update at 6PM says cancel-whole-order, some planes just got delayed, we'll pay the $100 cancellation penalty.

None of that scales. It just runs the sales team ragged (literally; they're literally running out to the factory floor to find the third carbon copy and yank it from the production queue by thumbing through the queue).
Your comment isn't attached to the history of the situation.
> Meanwhile Amazon actually operates by people walking to pickup and deliver most packages by hand to be boxed up

Given how much Amazon invests in automation that's a pretty gross mischaracterization of what they do.
Every few months/years we see reports of how the numbers coming out of ad-tech are basically lies. People drastically cutting spending with no impact on things because no one but boys are seeing the ads.

It’s got to pop at some point. Maybe as a side effect of privacy legislation?

When it pops it’s going to be a hell of a wild ride.
It’s more like everyone here is very definitely IANAL and _still_ nitpicking (and also missing the point).
Yes, and dvbs-2 also supports very high modulation and code rates. but they're never used in practice since PSD limits don't allow you to transmit that much due to interference on other systems. starlink is not first in line for most of their spectrum, so they're abiding by direct spectral mask limits. I would guess they're at 16APSK at the highest.
IME the ML world with Python is a whole mess on top of the existing dependency issues.

I've been very _careful_ too (using pyenv/virtualenvs etc) for dependency management, but with Nvidia driver dependencies and "missing 'sqlite3/bz2' issues related to the underlying interpreter (not to mention issues with different Python3.x versions) I'm lucky to be able to even run a 'hello world' ML sample after an afternoon of fighting with it.

My Ubuntu install w/ Nvidia card only seems to recognize the GPU in some circumstances even when using the same `conda` env. Often this is remedied by rebooting the machine(?).

No idea how companies manage this stuff in production. Absolute minefield that seems to catastrophically break if you sneeze at it.

I'll admit I am not an expert in managing ML envs, but I've dealt with a lot of python environments for typical CRUD stuff, and while rough at times, it was never this bad.
Thanks, this is a trivial thing IMHO. Worker violates working agreement, news at 11. All the other fluff is just yellow journalism. He uses GPt? Yawn... he publishes mainly as co-author? That's completely normal in academia, particularly for high ranking professors. Wait until people discover that in several places in Germany, Proffesors delegate most of the PhD supervising tasks to lowly post-docs.

It's just layman peeking at the Academia world and getting mad at a cloud.
The decision to turn off life support for vegetative electrons was made at the first Solvay Conference in 1911, at which point they ceased to exist in our universe in a total wave function collapse. ChatGPT has apparently overfitted on late 19th century theoretical physics journals.
The cat is already out of the bag on that one. You can download several open source text to image AIs and run them on your own computer. You can train new styles and concepts on your own computer in about 20 minutes. You can throw up roadblocks for the big players, but it’s far too spread out to ever be contained again.

Ditto for LLMs. Obviously GPT-4 is the best game in town, but I have several LLMs and the code required to use them installed on several machines. Training new data for them can close the gap quite well at the expense of becoming less general.

We can’t regulate our way out of this one. That window closed a while ago.
For good or bad, it's still the legitimately elected US government. The Trump government represented the population of the USA, and was elected in accordance with its own rules.
The consequences or fruits thereof belong to the citizens of the nation.
Well, work of SOME type of quality, perhaps.

The most prolific mathematician in history, Paul Erdős, published about 1500 papers over about 60 years. That comes out to a little more than 2 a month.

That's close to an upper bound on what should be possible without some form of cheating.
E-scooters don't hit people. People riding e-scooters hit people.
I disagree I think it will take more steps. Likely there will be phases where we learn to let the machine 'drive' so to speak with our business. I think there will be a lot of independant studios using AI with very low funding showing it's possible. However I think the big block studios are going to be very careful to rock the boat. There will be business decisions in between these steps. If anything I think AI will make things like games, music, art commodities on the value of paper napkins. :(
Prolificness aside, what has he actually done? Is he advancing chemistry or just co-signing dubious papers?
Submitted because this is the first study I've seen clearly measuring a cohort which got infected after vaccination.

Researchers studied this cohort vs. a vaccinated cohort with no infection. The infected cohort performed measurably worse at executive function and impulsiveness.

Notably, the researchers also scanned the participants' brains during the experiments. They found measurably lower oxygen uptake in the parts of the brain associated with executive function and impulsiveness.
It speaks to the broken state of measuring scientific and academic output. It's 99% a charade, people churning out machine generated papers nobody reads but get quoted in an attempt to justify the inflated claims of other machine generated garbage papers, in a circular attempt to fudge the stats that decide the funding and promotion.

The idea that someone can even read, edit and make co-author level contributions in papers aimed for a top-level journals, all in the span of 37 hours, is utterly ridiculous.

It's basically the equivalent of SEO spamming the Page rank algorithm with crummy pages with many back-links and repeated search terms. The search optimized term here is the author's name.
Many people here say that they don’t see reason to upgrade from their M1. My first thought is that it would be ridiculous to be seeking upgrades so soon. But then doesn’t the fact that so many people here already have those M1’s mean that they have been successful?

Perhaps sales are just going back to the normal apple-laptop level?
I've been a Mullvad user for a while now, and I have to say, their commitment to open source is truly impressive. They're living that philosophy by making their VPN client open source. Tor Browser with the security of a trusted VPN should be an great alternative
Experts warn yearly checkups carry risks and do not reduce mortality
Absolutely! Laziness is the reason so many bright minds waste their talent in optimizing ads, maximizing nudging and producing clickbait because "it pays me such an awesome salary" and this same laziness is slowly causing the decline of big tech. Stay human, it is what we are.
discussion: https://news.ycombinator.com/item?id=35415305
Why did you use React for landing page?
Not actually that common for teachers to work two jobs. Also most americans have healthcare and the ones who dont are often young and dont consume much of it. Not saying its good. But some europeans think we live in some kind of mad max hellscape.
My problem is that their line up is all over the place, and even with the confusing addition to M1's to their tablets, they really need more consistency in my opinion. Not to mention the fact that they are being a little ambitious considering you cannot run specific types of software that Software Engineers will need to emulate, or wait for the maintainers to port over.

I would love to buy a new Mac, but I need them to entice me and give me confidence in their new direction.

Also right after 2020 I cannot imagine a lot of people are still using whatever computer / machine they bought during that time window, and those still work just fine.
It’s funny that in 2009 this must have seemed so cold and heartless. Now we just send an email and shut off the logins.
> Regardless of the lawsuit, this seems like a quite spurious, self-serving argument in and of itself. If the “coordinates” of the image were not equivalent to the image ...

It's simply not. Stable Diffusion 1.5 was trained on over two billion images. Even if we assume the images were only 10kb on average, that would require 20TB of storage space. The pruned 1.5 model is only 4.27GB, or 4,684x smaller. It is fundamentally and provably impossible to achieve that sort of compression ratio on diverse and already compressed images.

'Coordinates of the image' is a layman's explanation of latent space and the training process, it should not be taken literally.

> how would it be possible to fine tune the model on a set of images and recreate their style?

The fine tune process represents additional training, and to reliably and consistent reproduce a consistent style generally requires overfitting. It is very roughly analagous to an artist using a reference while drawing/painting.

> This is setting aside the myriad examples where SD regurgitates fairly close copies of individual works.

Some works were overrepresented in the dataset because they are overrepresented in the world. There are substantially more images and variants of the Mona Lisa on the internet than there are Random Twitter Artist's Furry Waifu.

This works in much the same way for humans, who are more far more likely to be influenced by the Mona Lisa than Furry Waifu.

> This is a bit like training a model on the works of Shakespeare, but then claiming that the tensors resulting from ingesting the data are not actually Shakespeare’s writing.

.. They aren't. Shakespeare did not write them. His works can't be reproduced from them. There is, provably, not enough data for it. This is more different than if an individual read and referenced Shakespeare while writing a play, for all that entails. Specifically: whether it's a human or a model generating the content, the content that is generated could be a violation of copyright.

You'll note that this is no different to if I copy and paste Mickey Mouse onto a tshirt design, or if I draw him on a piece of paper with a crayon.

Should we also be up in arms about copy/paste and crayons?

> Oh really, where’d they come from then? Thin air?

This hits on a more important point than I think you realize here. Where did inspiration for the human artists come from? Did they spring from a formless void? Or have they seen a lot of images, internalized what they think was important from it, and then generated art from that?
I think it may turn out to be like that but I don't see it as guaranteed. How can we be so sure that GPT-8 will not write things that we consider to be really original and unique?

I know, it's trained with human data and its output is based on that. The same can be said of human authors, though. Arguably we never create an idea from scratch, originality is just putting ideas together in really non-standard ways.
New macOS historically runs on devices between 5 and 10 years old. Longest in recent memory was El Cap which supported 8-10 year old devices. Shortest was Snow Leopard, which supported 3 year old devices.

Ventura is lower, 4-5 years, but that happens periodically when aligned with major architectural changes.

[edit] Honestly, their support cycle is pretty impressive. And just because they don't release a newer version of macOS doesn't mean software stops working.
Right now I'm in the second year with an LG Gram 17, and it's easily been the best laptop I've had in a long time. The only thing giving me pause about replacing it with another Gram is Framework. The idea of serviceability and being able to upgrade is really exciting - so much so I'll give Framework a try if the 16" model is available with a screen that is at least 2560x1600 (would prefer 4k) and 32GB RAM.
I don’t think illegality filtered for people who don’t give a shit. I think it filtered for risk-takers. It’s risky to one’s safety to ride a personal powered vehicle on city streets. I think the median rider is less worried about safety compared to either the pedestrians or the cars.
I don't have a good definition of agency, but I do think agency is required before consciousness. I believe consciousness is the recognition of how your agency influences yourself and the external world. Having some mental model of the consequences of your own agency.
The human characters art is very similar to Gobliins games. I checked the artists behind each and they are different. I guess the style was popular at that time.
That's part of the ECMA standards process, and part of some others; progressing from a certain stage requires a minimum of two major implementations. The chrome team happens to sit on the leading edge of that process, being more willing to experiment. Safari sits on the other end, for better or worse depending on the feature.
Dang I guess some legacy stuff that should have gone by the wayside for everyone's benefit has managed to sink it's claws in and stay on for the ride! Hhahaah that sounds hilarious (and painful). Hope they can eventually see the light while maintaining their overall vision/ ethos/ gameplan.
As far as I can tell, Photoshop 3 in 1994 had a PowerPC version? If 68k emulation was a bottleneck, wouldn't they be testing Connectix Speed Doubler's improved emulator as an option alongside more exotic things like the DSP card?
I've been wanting to get around to learning an apl-like language like K for a while. Is there any favorite starting points for anyone who's done this?
You're clearly not thinking enough about this. It's not just about ads. For just one example, think about the data acquired regarding fertility and abortion, and how it can be used with respect to some law alterations.
There are many other examples for present and potential futures, so no this isn't just about ads.
Point is, individual initiative and individual liberty don't matter when you don't have dignity, e.g. being homeless, drowning in debt, etc.

In all socialist experiences, the standard of living of the lower class skyrocketed in comparison to the respective previous regimes. This is a measurable, material fact. In comparison, what you and most liberalist thinkers label as "fairness" is not only abstract but also disconnected from the current reality.
IMO there is too much gnashing of teeth over AI safety at the moment. LLMs are not (currently) AGI, and their "alignment" is not yet critical. Of course new powerful tools will have both positive and negative impacts, but this is not different from any other tool. Unlike atomic bombs, there are a plethora of legitimate uses for these tools that do not involve destroying anything or killing anyone.

One does wonder what the analogy to "radioactive fallout" will be from LLMs. The obvious guesses (greater propaganda and internet spam) are likely shortsighted.
> Human laziness will drive them to accept more and more of what the AI says with less and less review of it.

People do this with evil marketing, the unscrupulous, personality cults, etc. Humans will always be human.

What is particularly stupid about the current AI panic is that the credulous are quickly extrapolating this to the dawn of general AI instead of seeing it for what it is: a potentially useful tool in a much larger toolbox.

Inexact tools have been around forever (see mathematics) and they can be useful when, say, paired with another tool (like a human) that is effective at interpreting, evaluating and adapting results. These are the sort of applications people should be thinking about.

Instead people are dreaming about how ChatGPT is going to write the next killer app for them, anthropologizing it (it's not 'wrong', it's 'hallucinating') and generally letting their imagination running away with them.

More thoughtful people will see the strengths and weaknesses of the technology and move it a step forward, making it a more useful tool. This isn't new, it's been happening since humans started using rocks and fire.

One day people will laugh about how people in 2023 got taken by a chat bot.
If we free ourselves of the bounds of what is technically true, then we can justify nearly anything. I'm not sure it's a productive line of reasoning.
The recent news about Finland and Scandinavia forming unified air force command is a major shift too:

> COPENHAGEN, March 24 (Reuters) - Air force commanders from Sweden, Norway, Finland and Denmark said on Friday they have signed a letter of intent to create a unified Nordic air defence aimed at countering the rising threat from Russia.

In total, they have 200+ modern fighter jets, soon mostly F-35s. And if you look at the map, they are right next to the main bases of Russia's Northern Fleet and Baltic Fleet.

This is a total disaster. Might as well sell warships for scrap.