skysight-inc/HackerNews huggingface dataset:
It sounds more like they hope they won't have to fire more people (probably so they can still achieve their goals), but not agreeing to it ensures there is government support for an employee in case of a layoff (guaranteed severance, unemployment benefits, pension fund contributions etc).

Depending on the market and your personal circumstances, you just need to put ~3 outcomes on paper and decide what's best for your family and you: you agree to a paycut, you don't agree and don't get fired, or you don't agree and you get let go.
Yes, When talking about country fertility it is almost always a discussion of behavior + biology.

Big swings on the country level are all driven by behavior, and the influence biology is essentially negligible as it doesn't change much at all.
huh?
if we talking about tech layoffs and tech employees needing union - pls explain how Satya Nadella or Sundar are elites? they became CEOs just from being immigrant students. Started as engineers, and slowly rose through ranks.

tech is more merit based, compared to traditional boomer's industries. I dont see how CEOs in tech are part of elite, while they are simply hired managers. You do your job well - you can become ceo one day
What's wrong with the current one?
How are the chats not private?

OpenAI logging them for debugging and analytical purposes is VERY different from OpenAI making them visible to other users.
We've fixed it now. Thanks! (Submitted title was 'Tinker V: The first RISC-V single-board computer")
I don't agree. I think console games with their complex button combos are much harder to memorize.

In VR you can do a lot with your hands using the controllers. No button to reload but you insert a new clip and slide back if you emptied the chamber.

PS I still spend a lot of time in the 'metaverse'. In VR chat, in games and I develop for work too.
It's not that AI is going to replace certain jobs, it's that the people /not using AI/ will be out of a job because GPT et al are merely tools to get things done faster.
Posting a comment without reading the entire article more or less sums up why I think HN comments aren’t worth reading.
If you aren’t aware of the broader context, the author (Avi Loeb) has used the various techniques within the paper to make the case that Oumuamua is of ET origins.

The direct context of the article is meteorites (like Oumuamua), not the “fast blurs on aircraft sensors” you seem to be referencing.
Oof. OpenAI running into the familiar drawbacks of "move fast and break things".
Are you seeing any network requests or data transmitted over open websockets to confirm this is actually the case?

I get it that people like to complain about stuff on HN (I recently had a thread too) but there needs to be evidence for people to go off of.
NovelAI and the like try to work around this to some degree by having an elaborate system to inject context-specific 'memory' based on keywords (which can be recursive) and with attribute notations (genres, physical properties, etc) that their variants of the models have been trained on to minimize the amount of context it takes.
No need to filter anything. If world population drops by that much I’ll concede the bet, if it doesn’t then they lose.
Shouldn’t fire off on someone for seeming smarter in writing than in meetings. But if they don’t even seem to understand the things “they” wrote about and they finish JIRA tickets with “in conclusion”…
In general, it's a tired decades-old anti-labor talking point.

However there are many cases where it's hard to fire underperfoming unionized employees. And there's always the possibility of the union playing a kind of long game with management where they are willing to trade away the possibility of rewarding standout individuals in order to preserve the baseline.
If you are unsure of what Zuck's playbook is, just read it:

* https://www.techemails.com/p/mark-zuckerberg-vr-ar-strategy
How many of those eras did women have access to very effective birth control, or the ability to say no to sex (or simply opt out of entering into a relationship with a man for her future security)?
Meaning what, it's not worth owning a vehicle for a 10 year span? Be serious.
No worries, that's totally understandable. The change was made mostly for practical reasons, to be able to upgrade infrastructure piece by piece. So both new and old infra could run at the same time while it was switched. I'm actually writing a blog post detailing the history of our infra, but the TLDR is that too much money and person effort was being spent on managing the infra.

Disclaimer: I am a part of the Gitea TOC, and am employed to work on Gitea.
They also hold (held?) $80bn in mortgage backed securities, which I'm consistently suspicious of how much is really grade A investment material.
UBS got Credit Suisse for almost nothing
everybody gets same results regardless of input, merit, or effort
First request from this IP address, definitely a DDoS
Another 10% was low % 5yrs bonds which they had to sell early with penalties to cover the run on the bank which incurred considerable losses.
I would think a VC bank knows that some of its VC investments would not outperform.
My understanding is that if the run does not happen, it's business as usual, nothing like '08 when borrowers started failing to pay en mass on internationally overrated loans in AAApackages.
Fair use is a judgement. Fair use is an affirmative defense (admitting guilt, but saying you should be allowed to, like self defense.) A judge looks at the work and the framework and decides if fair use is an acceptable defense to infringement.

Given most of what we are talking about would fall under the output being used commercially, lets look at the end of of fair use test.

> the amount and substantiality of the portion used in relation to the copyrighted work as a whole; and

>the effect of the use upon the potential market for or value of the copyrighted work.

Unless your opponent is using a model exclusively trained on Twilight to output a Twilight sequel before you the author, you are going to have a have a hard time saying they used a large part of your work and that it directly displaces a sale of your work.

A collage of word samples from millions of works is going to fall under fair use. If the model did a good enough job of compressing your work in its entirety, and it outputs that copy, you might have a case.
The 2nd amendment was meant to allow for guerrilla warfare against a government which didn’t want to wipe out the entire population which was sympathetic to the rebels. This context mirrors what the US states had in their war of independence.

For all other kinds of wars, yes, the government can crush you. That was true even in the 1700s, and has only gotten more true today.
The OP was asking a different question with a different answer -- OP wanted to know if novel ChatGPT output is copyrightable, not whether existing copyrights might cover ChatGPT outputs. That said...

> The compression ratio of the source corpus versus the model demonstrates it doesn't have all the source material, ipso facto, results are not infringement.

What?! This is not at all how copyright law works and that's also not at all how LLMs or compression work! You're wrong about both the law and the technology!

Just because the model can't losslessly reproduce the entire training dataset doesn't mean that the model can't losslessly reproduce copyrightable fragments of the training dataset.

And the law truly doesn't give a damn that a verbatim copy of a piece of code or sequence of paragraphs came out of a model instead of a copy/paste from github. If it's the same basket of bits, or close enough in certain cases, it's covered by copyright, full stop.

> As an easy to understand analog, if you grab a Shutterstock photo, change it from 100% quality to 5% quality, the file size drops to 100th of the original and on display, none of the pixels are the same. While it may be the same general concept depicted badly, it is certainly not the original and clearly isn't copyrightable.

As an easier to understand analog, if you grab a BITMAP of a Shutterstock photo and convert the file type to a reasonable JPEG (lossy compression!!!), tht's very clearly still covered by the copyright on the .bmp.
Not to mention, the Globohomo / Dystopian Art, with the token non-white, token muslim woman and token Disabled Person.
You missed the 'we'.

I meant: is our industry benefitting by eating other industries?

The answer seems to be "yes, obviously."

Does that make us the baddies?
Sounds like you're working hard to defend your ego rather than seeing the opportunity to learn and improve yourself.

You must be a delight to work with.
> Many reading this thread will see 3 degrees by the time they plan to retire. This comes with drought, undernourishment, and mass migration

I wonder what it'll feel like looking back at that point. There isn't anything that I alone can do right now to prevent this from happening, it has to be a collective action but still, we've been warned for decades, over and over, we knew what would happen. Will we regret not having mobilized more, joined every protest out there, not having written our representatives more than we did, not having made more sustainable choices than we did? I know the effect of personal choices and actions is marginal but still, I'm sure we'll feel lots and lots of regret.
So Apptio is a larger application for finance people, with some cloud cost management built in. They are the main users, I just have read only access an login perhaps monthly to view budgets and cloud spend.

I just have access to small bits and pieces, but what I have seen I like.
Yeah, this is all great and lots of words, but I just spent all morning centering a radio button in a td lol
This isn't remotely close to being accurate (backlash!). There is at least another 10-20 years of further, significant growth left in business cloud services before any meaningful turn back is/might going to occur. I have no personal stake in either direction, however when something is expanding the way cloud services continue to, and then to pretend there's a backlash occurring, it's quite silly. Some use cases don't make sense, some expenditures don't make sense, some data privacy risks don't make sense - that's not the beginning of a backlash, that's just standard business assessment.

We've hardly even begun the meaningfully productive AI side of cloud services for business, and that's going to be gigantic. TechCrunch is doing the equivalent of declaring the backlash against the Internet has begun, circa 2001.
It doesn't really matter how we learn the features that we learn; I've heard numerous times that ML models tend to learn architectures/neurons that biological neurons do; I've seen convincing evidence about image recognition back in the day that this is the case.

I read that animals dream in the woumb partially to pre-train their nervous system, including vision stuff.

But I'm convinced GPT-3/4 did learn a lot of features/generalization/reasoning, even if part of a "text prediction".

Sure, it's predicting text... but to do so it learnt some calculus and quantum mechanics -- it's just an example, I don't know the cognitive building blocks to explain how humans/future AI do their reasoning.
Ah I like that "for amusement" video.
This SO post is a bit old now, so I'd verify before proceeding, but it looks like having devtools open in a separate window will enable you to circumvent the check.

https://stackoverflow.com/questions/40153206/detect-if-conso...
Most of the complaints about AI programs are claiming that the generated output has been plagiarized, yet have struggled to show where any copying has actually been performed. If the uphill battle is this steep this early on, it's going to become next to impossible as more training data is provided and used

Further, if we're going to accept that style mimicry is enough to categorize something as being plagiarized, every artist on the planet will have to be labeled as a thief as well
On a broad level, I don't disagree. But I think it is helpful to keep in mind that the "police" in the US is not monolithic. There are over 18,000 separate police organizations in the US and they are not organized in a strict command hierarchy. Jurisdictions have much more independence in the US than is common in other countries. Canada has just less than 200 police agencies and Sweden has just one (https://www.cfr.org/backgrounder/how-police-compare-differen...)

Some places need a much more aggressive approach to reform than others. Unfortunately I think the public narrative over the last few years regarding policing in general has very little nuance. As a side effect, the type of people we would like to be involved in policing are being discouraged from considering that career. This is not a healthy trend.

The decentralization of police power in the US is intentional. While better recruitment, training, and implementation is desirable, solutions in this area are going to have to acknowledge that decentralization to be successful, IMHO.
And mortgage backed securities. Both highly safe. It was in managing interest rate risk that they failed.
> Even firearms enthusiasts would have to learn these details.

And they do, even without VR, because every gun is different. They all have different mag ejection and safety methods too:)
and yet they didn't. It famously devolved in a terror state, and a restoration of the monarchy in half a lifetime. the french revolutionary program traded aristocratic rights for bureaucratic corruption. all we really got was the metric system.

the true lesson imho is that any positive project for the future will need to reject iconoclasm, and lean into incrementalism. preserve the good, prune the bad.
If you have a team of twenty people, and you augment them well enough that they can all work more efficiently, the team can go two directions: it can stay the same size and do more, or it can shrink and do the same amount of work.

Some organizations are going to take the first approach, and some will take the second. Neither is right; some organizations can expand on what they do. Others have a narrower scope, and would be better off getting leaner.

There's always been a tension between an organization's needs and an individual's needs. I'm pretty sure these tools are going to increase that tension for a while.
I believe this argument can be extended to Facebook/Instagram/Twitter/etc for other countries. And considering that; yes, let’s do it!
That's your experience.

We had a global network operator talk to us about repatriating its ML workloads on-premises from Azure. Cost is the main factor, sure.
I've seen a number of these posts of the years and the goal post of "foundational knowledge" seems to change frequently... Do you want algorithms? Do you want networking? Do you want embedded? Do you want SQL?

Frankly you can't have it all.

What I see successful companies do is invest in uni programs so they have a stake on what the students learn. Take for example the UT Inventors Program.

This has been a problem for a while. Hopefully this provides some extra context.
I'm having trouble seeing what's wrong with doing a job for the money. That doesn't mean you do the job poorly. Plenty of people do it for the mythos or "company family" or whatever bullshit the company tries to sell and do a garbage job at it, and plenty of people clock in to do a good job, clock out, and not think about it again until the next day.

"Why do you want to work here?"

Because money rocks, my dude. I'll give a nice politic answer in an interview, but I'm there to do a job.
DHH founder of Basecamp was always skeptical about cloud. He recently published how much they saved moving away from the "cloud" AWS specifically.

https://world.hey.com/dhh/why-we-re-leaving-the-cloud-654b47...
Are they?

As far as I'm aware, there are only categories of people when it comes to "the invention of the GUI":

1. People who know it was a long and involved development process involving many people starting in the 1960s.

2. People who don't care.

edit: Lol y'all some bitches.
A lot of companies don't know how to do on prem anymore or never did.
It could be that the NAT box isn't so great, and just limits itself to 64k outgoing connections per IP. Really depends on how hard the developers wanted to work. TCP itself doesn't have that limitation, but implementations of it may.
And now you're identifying the problem of analyzing the incumbent money and power structures; witness the corrupted speed at which an entity like UBS is absorbing DebitSuisse and the like within the banking industry consolidating at breakneck speed ahead of regulatory framework processes.

Smells of that too big to fail BS all over again.
In that regard you do have a valid point. Equitable access to models is going to be a huge, huge deal. Things aren't getting off to a great start in that regard.

To those looking at becoming politically active in this area, it will be much better to work to democratize AI than it will be to try to stop it. The former will be difficult, the latter impossible.
Say that again after interviewing for a developer job wearing a suit and tie.
I think there's something much more compelling than just who is involved in this project, related to recent history. Two interesting things happened in 2018:

1) The government started overtly hinting at UFO stuff. In particular this is when the patents for sci-fi type technology, assigned to the military, started being published. Here [1] is one for an "inertial mass reduction device." Besides the entire patent sounding like it was written by a technobabble trained chatbot, there's a more mundane point. Patents don't stop foreign states from doing whatever they want, and you would have (if this was real) just revealed a potentially unmatchable (with current technology) state secret, for no apparent gain. All you really do is advertise "we're researching alien tech" to a the general population.

2) 2018 is also the first year that branches of the US military started missing enlistment goals since 2005. In 2018 it was "only" by about 6,500 enlistees, but obviously the trend would have been clear before then. Last year the army missed their goal by 25%, or about 15,000 enlistees. [2] Quoting the final line of that article, "...if the declining enlistment trends continue, the Pentagon may have to reassess its force requirements and find ways to make the military a more attractive profession to the eroding number of young Americans who can meet mental and physical requirements for service."

And what better way than trying to reshape the military from being a place where you go enlist to die in pointless geopolitical conflicts on the other side of the world (and I mean no disrespect whatsoever to the soldiers who have lost their lives in such, but it's a truth that should not be sugar coated), to one where you can go research aliens and get access to [not so] ultra-top-secret technology. Sounds better than dedicating your life to commercial businesses which largely come down to finding new ways to spam people with ads they don't want to see, at least.

It's just a recruitment campaign, targeted at a different audience than the ones that propaganda videos at e.g. football games target.

[1] - https://patents.google.com/patent/US10144532B2/en

[2] - https://www.armytimes.com/news/your-army/2022/10/02/army-mis...
I'd argue price/performance is where they are the weakest. Especially when you want more than the bare minimum ram or ssd. An Apple replacement for my current notebook would cost over $5k and I spent a fraction of that.

Battery life is really the core differentiator at the moment.
Do you worry about ebike theft? If not, how do you lock it in public?
Just like tears in rain
Paywalled so couldn't read. Does this article mention who is doing this or give any numbers? I'm at a large, top 10 software vendor and this is not what I'm seeing at all.
I think Zink requires a fairly feature-complete Vulkan implementation. Starting with a basic OpenGL implementation is definitely the quicker route to having a way to run and test some real applications.
> Then, I heard a story from one cop being out with cop buddies and driving wasted, smashing into car and running away.

In BC, a cop was driving from the bar, hit and killed a motorcyclist, left the scene, drove home, downed a couple of shots of vodka to 'steady his nerves'. [1] An old trick that he allegedly shared with his RCMP buddies.

https://www.ctvnews.ca/canada/ex-rcmp-cpl-monty-robinson-get...

He got a 12-month suspended sentence for it. Quite a bit less than what he'd face for killing someone while DUI.

(He later got a 2-year sentence for perjury in an inquiry regarding him killing a Polish immigrant with a taser.)

[1] Which is to say, make it impossible to determine how intoxicated he was at the time that he killed Orion Hutchinson.
Yep, M:N cooperatively scheduled. It also requires a "runtime" which Rust didn't want to have
place-self: center;
The City or London as a whole?
That's exactly it. Ultimately programming is just telling the computer what you want it to do - something that a LLM is unable to do. There may be a future where an AI is smart enough and demonstrates enough analytical, cognition, and deduction ability that it can take over specifying what a computer should do - but it's not today and it's not immediately at-hand. Nor is anything that can do so likely to emerge from LLMs, as opposed to a fundamentally different architecture of AI.

For most of our industry's history telling a computer what to do involved a lot of very painful and boring things that aren't really related to what you actually want from the computer. Moving registers around. Assigning variables. Managing memory.

But the entire time we've also been converging on doing less and less of this rote busywork. Advances in frameworks and programming languages has, in each iteration, gotten us closer and closer to simply telling the computer what you want, reducing the need for this rote busywork.

So now we have an AI that is quite good (though again: far from good enough to be unsupervised) at this busywork. For people whose jobs are largely consisted of this busywork this may be highly impactful - but your job as a programmer is to minimize this busywork to the maximum extent possible anyway.
This is wishful thinking fueled by a few HN articles that made it on the front page.
with all due respect to Mexican workers - in Mexico most OEMs do mostly assembly of ready made parts.

Engines, tranny, suspension parts are manufactured in US/Europe/Japan and simply shipped to Mexico for assembly due to NAFTA favorable trade agreement and cheaper labor for simple assembly
You want me to explain the difference between a hammer and a human wielding one?

One is a hammer. The other is a human wielding a hammer.
+1 on this book. Fantastic resource.
It's maybe a bit of a hot-take but notation diversity was quite necessary. It's easy to forget that BNF was largely built for textbooks and white boards and it was designed primarily from the perspective of language generation. While language generation and language parsing are mathematically duals of each other, BNF was always under-specified and under-qualified to use for describing parsers, especially for describing (easily or cheaply) computable parsers. A diaspora of notations was somewhat inevitable, and there was never really a "golden age" of BNF for describing parsing grammars. (Even classic tools like yacc/bison were always custom-extended variants of BNF, and BNF always had to be written with a specific parser model in mind; LL(1) grammars were never immediately compatible or comparable with LALR(1) grammars or LR(1) grammars, etc.)

BNF will probably always be a useful communication tool, but it has always been deficient for describing grammar parsing and it certainly will never be useful for grammar comparison like this paper seems to be looking for.
It is the act of 'the thing that is designed to protect you has caused your injury' that is ironic; not that it is 'amusingly unexpected'.

What is this 'traditional meaning' that you speak of?