skysight-inc/HackerNews huggingface dataset:
It is my understanding that there was at least one death caused by the power outage.

It is my further understanding that the nature of North Carolina law is such that this makes those who committed the crime guilty of either murder or manslaughter.
...the ones they post on site linked?

Either way we'd have to wait till people in industry get their hands on test models
I don’t know anybody that regularly used “It’s a cancer” in english other than to express a severe dislike/disapproval/alarm about a thing.

Can you give an english example that you’ve personally heard where “cancer” just meant “a thing that mildly bothers me”? Like do your friends call when their shoestrings tied too tight “a cancer on society”?

Or in some other way give a personal example where you would use “cancer on society”, “cancer on the firm” etc. that is both personal to you and in english? You’re kind of defending a hypothetical and heavily referencing languages not at play here. If you feel strongly about it being a passe phrase, you must have an analogy in this language that makes sense to you personally?

Edit: For example, a pig can ejaculate for over 31 minutes. This is as relevant to this conversation as your references to China and Taiwan. Fun facts!
Hunter S. Thompson, Fear And Loathing On The Campaign Trail. As he put it in a later television interview: "There was a rumor in Philadelphia about Ed Muskie being addicted to ibogaine. I know, I started it."
VALL-E unoffical implementation (text to speech synthesis)
Try beta.react.js
That hype was 10 years ago. Most of the companies doing variation of what you’re asking disappeared.

The three major remaining are google news, apple news and reddit, all manually curated.

I don’t think there’s a lot of opportunity, users simply want free content, you can’t really monetize through ads unless you have a massive user base (ie user generated content), and acquiring content is really hard.

If you want to give it a try yourself, I recommend an algorithm à la reddit/hn and some basic clustering to avoid duplicates. You can get scores from twitter/fb instead of relying on your own users. The hard part imo remains scraping content and parse the text… well, and monetize of course.
In the case of automated theorem provers, they should generate a certificate together with "true", so their proof can be checked. And that is also the answer to checking AI: let them generate a proof that what they did was correct. Of course, that only works if you ask the AI for a theorem, but a lot of tasks can be framed that way.
Is this an Indian company? Frore could be a play on crore which would make sense, but otherwise, good lord. Reminds me of that 30 rock joke about the “rural juror”. Feels like the corporate equivalent of 3-yo Timmy dressing himself for the family photo.
> The kind of thing that you witness once in a generation. (The last two times were object-oriented programming and the World-Wide Web.)

Folks, let's get real.

I kind of snarked at this but then I realized it's written by Bertrand Meyer and the conclusion is spot on: I agree that should these tools proliferate it will highlight the importance of formal methods and verification.

Even if ChatGPT-like systems get faster and gain deeper models of computer syntax and structure, I suspect the one problem that will be difficult to solve is elegance and abstraction. Often the abstractions we choose are based on laws and ways of thinking that help us manage complex phenomenon using laws and notation which make it easier for us to reason about them.

And even if that does get solved some how, we're going to have to understand them some how. A stronger emphasis on proofs and model checking will be useful to anyone who wants to be sure that the program the FutureGPT produced isn't simply "some what right" but is actually right.
The “this time it’s different” arguments also have a history of falling flat on their face. That was the common argument in Germany in favor of energy dependence on Russia, for example. It’s a bit wild to claim this theory is still legitimate when we’re literally in the middle of a shooting war proving it wrong.
Except it should have been trained on probably tens/hundreds of thousands of 2016 advent of code solutions posted on github and other sites, shouldn't it?

It often starts hallucinating the input in the exact format advent of code gives, so I'm like 99.9% certain it has been trained on a large corpus of advent of code.

Personally I use codex sometimes for debugging help so I agree it can do cool stuff. I just disagree it is "almost" right at solving problems -- it almost never generates code that even compiles for me when prompted to do anything not super trivial like advent of code brain teasers.
> someone above said zuck was pretty much "luck" which I dont think is true. Even though you might hate him for a lot of things, he is pretty darn smart.

I think what a lot of us in the "luck" camp are trying to convey is: There are a lot of "pretty darn smart" people in tech. A LOT. Hundreds of thousands, who could be the next great startup CEO, could be a VP of engineering at BigTech, could lead the next technology team that disrupts $1T industries. They aren't because there are very few of these roles in the world, and only a few of the many "pretty darn smart" people can slot into them. How these roles get distributed among the many talented, brilliant people can only be described as random. For every brilliant, hard working, startup CEO you can point to, I can probably point to 1000 people who are equally brilliant and hard working, but simply didn't roll the dice a thousand times in the exact way the "successful startup CEO" did. The rest of these brilliant minds are often plugging away in obscurity as run-of-the-mill senior software engineers, purely based on the random walk their lives happened to take.
That pretty much describes almost every civilization I read about. Sometimes, they are even lazier. They'd just re-purpose the church as a mosque or vice-versa. Heck, we had a recent instance of that (hagia sofia)
I don't think that's the main problem. They wouldn't invested money into Google Assistant, which directly hurts Google revenue. They also already give direct answers to questions on Google without ads.

Realistically, the main problem is scaling and costs/benefits. You have to remember Google is accessed by billions of people a day. Now imagine they serve a product like ChatGPT. You would be pissing off a lot of users with a product that is laggy, often crashes, requires a hourly rate limit just to protect your business from going bankrupt on computing costs. It's not really beneficial to Google to rush a model into their golden product that isn't ready for the scale it operates at.
AAA has been utterly useless. In the past 2 times I needed a tow, they couldn't arrange one in a timely manner, with lots of delays and miscommunications.
I think stumbleupon might be what you're looking for. It got moved to mix.com just btw
Sure, but that won’t be that impressive, at least to me, after this step. It’s just incremental improvements.
The tutorial on the beta docs page should be up to date: https://beta.reactjs.org/learn
Tests typically let you write code faster because you can rely on the test suite to check most standard assumptions and inputs/outputs. Thus, you have significantly less to test as time goes on.
Crazy expensive for my area and for some reason I have to have a 250km image, which is $250, I'd love to buy but no thanks.
TikTok’s Enshittification
There's a reason the world doesn't run on low and no-code platforms. This is worse, because it still takes a programmer to verify and apply changes.
What does your eslint config look like? AirBnB’s config is the worst offender for nitpicks
They may be fucked, but not because of this. If the congress doesn’t want debt, it should pass budget bills thst don’t require it.
Scratch that idea - people will not be pleased with the avatar for trebancas.
Google has made way too many chart apps, but this article is disingenuous; Duo is a video calling app, not a messaging app.
Funny that they clearly use a macbook as their "generic spinning laptop" image in the product video since this is sort of the one category of general computing device in which thermals seem to be more or less a solved problem due to the characteristics of the Apple Silicon chips.
I suspect you are mistaken about the USA's willingness to go to war over Taiwan.

At this point, an attack on Taiwan is an attack on the USA. I suspect China is very much aware of this.
Japan reality check: what is Japan's economy good at?
If the government's official policy is to crash the economy then helping them isn't treason.
Prior to Greenwood & Crahan's attack on the substation in WA on Dec 25, in the weeks prior there were also >=6 other substation attacks in WA and OR. As far as I can tell, nobody's been caught in any of the earlier attacks, and they don't seem to have been tied to any burglaries: https://www.opb.org/article/2022/12/08/string-of-electrical-...

For reference, Greenwood & Crahan's indictment: https://www.justice.gov/media/1266956/dl?inline
Takes some skill to spot that n(n+1)(2n+1)/6 is not quadratic, doesn't it?
We found that almost no respondents currently report probabilistically
> First, it’s really easy to ignore the beta docs and end up learning class components. She wasn’t happy when I explained to her that what she had just learned is pretty out of date and not at all what the ecosystem uses.

Yeah, that's an absolutely terrible experience.

Why can't there be a modicum of stability in the ecosystem?
You linked the same thing twice, so I don't know which Reddit thread you're referring to. "Asian" is more than half the world's population; the "model minority" thing is problematic in part because lots of Asian families have poor socioeconomic outcomes in the US. But the cohort captured by the study overlaps pretty completely the cohort of children you're implying have unusually good outcomes.

And, of course, the other half of the argument is hard to knock down: incidence of corporal punishment clearly doesn't track good economic outcomes. The opposite is much closer to the truth; it probably is the truth, for in part mechanistic reasons (hitting kids damages them, impedes their ability to succeed).
Maybe I'm overly optimistic but I see these tools as empowering us all to be more productive and become directors who specify requirements rather than spend time doing the work. ChatGPT's ability to write documents for certain things that would take a while to research myself is an obvious example.

For Software Engineering I look forward to stopping writing the majority of my code and instead managing this tool and helping guide it to create apps and websites faster than I can and outside the areas of my expertise.
Pretty sure the outsourcing shops will use it to inject more mountains of shit code into everything. But I guess thats not a bad things for the employment of consultants who will be called in to fix things.
A few hundred kilometers doesn't sound like a big deal to compensate for during the de-orbit burn. Also, couldn't it just orbit multiple times until an optimal alignment comes along?
Andreas Kling develops Serenity OS, a new from scratch open source OS and kernel in C++, what does Android have to do with it?
Why won't Apple sell one of these to anyone who wants it? Why do they make you jump through hoops and beg to borrow one of a very limited number per year?
*L4 is now the new terminal.

Agree with what you said otherwise.
Important to note

> the nofly csv is almost 80mb in size and contains over 1.56 million rows of data. this HAS to be the real deal (we later get confirmation that it is indeed a copy of the nofly list from 2019).

Via the previous discussion.
Ponder is working on making Pandas actually work with really big data. (Disclaimer: I'm an advisor for them.)
I always thought the original, first-person Myst games would be a perfect fit for a PWA or web app. Media heavy and low user interaction, just click events and simple transitions, similar to a visual novel.
Outsource to where? Outsourcing isn't exactly new and many large orgs already outsource as many activities/projects/roles as possible. Even with outsourcing there is still a skilled tech labor shortage.
All of your arguments assume a zero sum economy. World GDP has been growing exponentially for millenia. What's the "grand theory" behind your belief that it will suddenly stop?
I'm a little confused by these two quotes.

"The first ever solid state thermal solution"
"Inside AirJet are tiny membranes that vibrate at ultrasonic frequency"

How is it solid state if it has moving parts?
Seems pretty clear that this question was in its training set and it's regurgitating the answer for part (b). Seems far too coincidental to accidentally get the correct answer to wrong question.

For me, it solved part (a) perfectly when I told it: "To solve this, write a Python 3 function that takes a string like `"R4, R3, R5, L3, ..."` and outputs the number of blocks to Easter Bunny HQ." The original question on its own was a bit ambiguous in my opinion because it doesn't explicitly contain the input which the user reads on a second page.

In any case, neither is strong evidence for or against its ability to solve problems like these. First, it's N=1. Second, it's a problem from its training set.

For me, Copilot/ChatGPT adds value not by replacing my programming but by (a) writing simple code for me and (b) answering my questions about things I don't understand. I operate in a supervisory role where I have to double check everything it says. But, critically, it's faster for me to double check its work than to do everything myself.
You give an example about how chatGPT is wrong while there exists many examples about how chatGPT is right. And you think the some wrong examples invalidates the possibility of AI ever being better than you?

The fact that it's often right is a horrifying omen of the future.

chatGPT will not replace you. It is the precursor to the thing that will replace you.
This is where the most promising applications have shown up (but not necessarily the money). It’s fantastic for things like assembling wiring harnesses for aviation where it can serve as a sort of interactive manual.
Competitive and I'm sure the screening is extensive given the life-or-death stakes up there. The theoretical international fugitive is going to have a tough time scoring one of those jobs!
You will definitely run into more cold starts though, if that is a consideration for your project
I thought the main difference between the studio and mini was the size of the heatsink allowed higher performance. It seems like if they could get the thermals better, the studio could shrink down to a mini size.
I am willing to pay for it assuming it works without some pitfalls. They actually have a working prototype [1] to showcase in CES 2023.

To put this in perspective, with this and TSMC matching towards 14A / 1.4nm we could have machine that is roughly 2X the performance of Macbook Pro with M2 Pro at the thickness and size of MacBook Air by the end of this decade.

I am also hoping this will be more reliable than current Fanless cooling solution which tends to degrade after a few years.

[1] https://www.youtube.com/watch?v=YGxTnGEAx3E
I would imagine they don’t want anyone making some sort of secondary market out of the devices
Well, strictly it does. US debt is financed predominantly in 30 year treasury notes. So... 30 years. It comes due incrementally over 30 years. All we need to do is pay the bill, and in 30 years it's paid off, just like a mortgage.

What's hilarious is that all these arguments have been made repeatedly, in the same form, and by members of both parties, for far longer than 30 years. And it's been wrong, repeatedly, every time. All the shrieking about the unsustainable Regan spending in the 80's? Meaningless. That's been paid off for decades now.
That's... a lot of specialized folks

To help make lemons into lemonade, we're hiring for folks into webgl2 for the next gen of our GPU client <> GPU cloud visual analytics engine used by analysts to investigate problems like cyber incidents, fraud, misinfo, global supply chains, etc. We're targeting another 10-100X scaleup through this effort. The first gen led to us writing Apache Arrow's JS tier and helped start Nvidia's popular RAPIDS GPU dataframe project, and we're expecting more hackery needed for this one again.

Should be a lot of fun for the right person, gdoc linked @ https://www.graphistry.com/careers
Black People in South Dakota History (1977) [pdf]
This article suffers from the same thing that most Pandas articles or books suffer from. Showing operations in isolation.

I rarely do one thing to a dataset. Show me what real world code looks like.

Pandas and Polars are both awesome. Pandas is more entrenched and is a solid choice these days (and getting better for big data).

Polars is an awesome up and coming library. Competition is good for the Python Data ecosystem.

(Disclaimer: I've authored multiple Pandas books and have taught courses on both Pandas and Polars.)
There is nothing wrong with running a backup generator when mains power is down.

Solar alone obviously can't happen, most places. Solar + wind + hydro + (sometimes) geo + (even) old nukes + storage + xmission line + backup combined-cycle gas turbines will, instead. Backup gas turbines will burn NG at first, synthetic ammonia or hydrogen later.

Getting 100% off-grid is not a goal worth the extra cost, for most. For anyone without access, or with unreliable mains, a backup generator is just prudent. Batteries, if you have any overbuild, mean you spend on mains or run your generator less often.

At utility scale, with regional-grid tie-in, calculations come out differently. Maybe the gas turbine runs part of most weeks, this decade, rather than once or twice in winter like your backup generator. Wind and transmission line complement solar.

Battery cost is radically less than 2 years ago, and still falling. If you haven't checked lately, prepare for a surprise.
The benchmarks[1] from polars' websites seems really promising, and I am going to try it on my next jupyter notebook. But what I wonder really is about parsing time, this is not shown in bench marks.

I my previous project, I use pandas' read_table to avoid for loop to parse molecular dynamics trajectories LAMMPS. The trajectories are pure text file with size of a few Gigs. Compared to a pure Python implementation ~3-5 min, pandas reduce it to 20 secs. I wonder how Polars works.

To be honest, compared to parsing, data manipulation such as the benchmark showcased, is just not so costly.

[1]: https://www.pola.rs/benchmarks.html
I'd expect them in dmesg or other kernel logs. That's where they show up on FreeBSD.
https://www.engraved.blog/building-a-virtual-machine-inside/

This article was "holy shit" all the way through and all the way to the "holy shit" ending. Read to the end.

We've just passed a technological inflection point in AI. Not everyone fully noticed.
Can u do this for furniture dimensions?
I wonder which model of iPhone it is
True, I didn’t notice/glossed over that when skimming the article..
> Stuff that's easy to test is usually also easy to debug.

Stuff that has a test often doesn't need to be debugged.
There is a reason democracy has checks and balances, the founding fathers weren't naive. You're right that it's in principle no different, yet this is a whole new level. A mechanism for unlimited spending that "got created inadvertently", as you colorfully framed it, would commonly be called a loophole. They're looking for flaws in the constitution to do what any unschooled hawker in Zimbabwe can tell you is a horrible idea. The fact that this is seriously discussed by people from the party in power would be concerning to me if I were American.
Pandas (the API) is also getting better at big data. I'm an advisor at a company, Ponder, that will take your Pandas code and execute it on "big data".
I'm not sure why you got downvoted. I'm bullish on ActivityPub and the next wave of decentralization.
What does the speed of light look like on earth?
“A few support calls” = At least a few companies who have unnecessarily faced major enough issues that they worked through internal investigations of many different pieces in the stack and then eventually decided to reach out to external support for GitHub, potentially having reached out to other vendors’s support because some PM thought it would be “funny”.

I don’t actually think it would cause any problems personally, but I’m astonished at the flip dismissal of a “few support calls”.
And of course they have a whole thesaurus to differently what they do from hitting. It's spanking, popping, swatting.
Isn't weev hiding in Transnistria after he got released on a technicality that allows them to go back after him in another district court or something?

I was thinking the courts ruled he got tried in the wrong jurisdiction so prison had to release him. He basically GTFO'd before they had a chance to refile and is hiding in an unrecognized territory inside Moldova.
Likely a piezo or mems device. Both of those use material flexture or deformation to achieve some output.
If they sold them to anyone that wanted one, what possible secondary market could there be?
Personally, I think that this is a political problem, and a political solution would be the best way to resolve it.

There are various legal gimmicks, like the trillion dollar coins or premium bonds (discussed in the article), that have been proposed that might work temporarily. However, I'd expect them to be either struck down by the courts, or banned in a future must-pass government funding or omnibus bill. I don't think the uncertainty created by using one of these gimmicks is worth the benefit of delaying a political solution.

I'm not an expert in this topic, so I'm keeping my mind open to other ideas.
Privacy enabled collaborative filtering and triplet loss have been on my mind lately.
We should all be getting good sleep and drinking more water.
Why would i buy this and not just screenshot google maps which is way higher resolution?
https://archive.is/ZVRla
Looks like this site just scraped a Fox Business article and edited it to misspell the hacker's name and swap the pronouns used in the article? Not really sure what the point of any of that would be but the original article is here: https://www.foxbusiness.com/politics/tsa-no-fly-list-discove...
What about spoonerism?

1. https://en.wikipedia.org/wiki/Spoonerism
So it will go from generating toy code that usually compiles, to being able to one day reliably solve day 1 advent of code brain teasers, to generating useful software?

Is there domain limitation to this growth and performance? Medicine, theoretical physics, art, engineering, pure/applied maths, etc.?

I don't see how you guys are getting this from the current tech? Maybe there is an educational resource someone can suggest?
I used to know Bryan, a long, long time ago. He would stand and stare into the windows of girls he fantasized about. Very creepy. Not surprised he's doing this. The guy has no boundaries.
How do I know that article wasn't written by an AI?
I mean, it's literally the first thing that shows up in his wikipedia article. If he truly wants anonymity I apologize.
No. But their systems can point me to all the images it has seen that has a pink Cadillac with a man in a black top hat. And if no image found is suitable you can then select any of the unsuitable images and have it altered to be suitable.

You underestimate the ability for these things to index data.
Anyone that doesn’t want to be identified by Apple?
That's pretty much modern Dragonrealms, yeah. It really is a shame. The golden age of the was unmatched though.