skysight-inc/HackerNews huggingface dataset:
I'd be careful of anthropomorphizing this too much though. Yesterday I was experimenting with a ChatGPT (3.5) Twitch streamer that played a text adventure, that was supposed to return JSON like this:

{ "speak_out_loud": "Hey chat, what's up, etc",
"game_cmd": "go north" }

And it occasionally would put the "speak" part into the "game" part so the game would get long sentences that were supposed to be spoken out loud. ChatGPT just fails in all kinds of weird ways because it doesn't actually know what it's doing. It can't look at what it's returning and use common sense to fix obvious problems. It makes errors in ways that normal programs don't.
> the specific Kernel module using the GPL symbols would be the derivative work, not ZFS as a concept.

Why, as compared to a kernel module linked to non-GPL-only symbols?
In addition to lower personnel costs, their manufacturing industry is generally more efficient. The result is they get a lot more "bang for their buck" and you can't compare military spending just by looking at capital expenditure and currency conversion rates.

They also have different goals. America spends to maintain global hegemony, which means a huge fleet of aircraft carriers meant to operate around the world. China isn't (yet) spending in that way, they're a lot more focused on regional objectives.
https://www.reddit.com/r/marketing/ ?

https://marketinghire.com/ ?

https://www.ziprecruiter.com/ ?

There are a million job boards but there is no magic solution to find just the perfect person.
I actually just posted an article that references Clever Hans (pretty sure it's also the name of a Grimm Brothers fairy tale, most of them have names like that).

It's actually not the best analogy for the current fad, I think "confused by a mirror" works much better. https://news.ycombinator.com/item?id=34850890 although I suppose the idea of attributing intelligence where there isn't any holds.

Clever Hans is a good analogy for (mostly deep learning) ML classifiers, the idea being a, say image classifier, can do extremely well despite not using any features that actually causally inform the decision being made. So when the background changes, or lighting, or some other thing, it fails utterly. This is actually true for almost all image classifiers.
Last time I've tried (~month ago) I couldn't even install ufw+gufw which I think is a very simple and end user friendly app. Not in the official repo > add community repo > 1 click install fails because dependency not provided etc.

Debian/Fedora/Mint where is it. Probably Ubuntu too if you are okay with snap.
I am concerned that a CBDC is actually the end goal of the government and the FED and the WEF. What if these crisis were designed to move us towards a CBDC all along? "You will own nothing and you will be happy" - the Word Economic Forum

CBDC offers governments ultimate control over citizens. When/where/how we’re allowed to spend our money. Add in social credit scores and your CBDC money can be deactivated for any reason that runs counter to the approved narrative. Protest becomes impossible. Everyone is fully dependent on the state for the basic necessities of life. You can't live if you can't buy food/shelter/heat.

Here is Christine Lagarde, making it clear that the real reason Central Banks are pushing for CBDCs is that if they don't, they risk losing control.[0]

The ability to transact is a fundamental human right. There can be no liberty without the freedom to transact.

[0] https://twitter.com/DVATW/status/1638133299468959749
It isn't just social media, it is the combination of social media and smartphones. This makes social media far more pervasive in a teen's life.

See section 6[0] where they discuss how mental health declines correlating with Facebook coming to college campuses and with high speed internet arriving in cities for some evidence.

[0] https://jonathanhaidt.substack.com/p/social-media-mental-ill...
That would be not dissimilar to the launch strategy of the macbook air, which was ridiculously expensive at launch, presumably didn't sell in huge quanitities during the first few generations, but gave them something to build on which they eventually turned into a mainstream product.
A divorce is messy too, but sometimes necessary.

The retreat from globalization is mostly caused by growing distrust of Western countries towards China and trust isn't a commodity. You can't do much business without at least some trust. Historically, this sort of necessary trust was strongest within certain religious or ethnic groups (Jews, Puritans, Armenians, Quakers). The willingness of the world at large to extend trust towards totally foreign nations in the 1990-2020 period is a historical anomaly.
Austria: <https://teletext.orf.at/>
Rich people and geeks buying impractical things to show off has always been a thing.
> first Apple Watch told the time and was fun but mostly unusable for much else.

I had 1st gen watch till 2019 and my usage pattern hardly changed with the newer versions:

- clock and weather information

- notifications

- Apple Pay

- exercise tracking

What else are you using it now?
GPT does encode position information in its training data (an idea going back to Vaswani's 2017 paper). But indeed, it can get it wrong if it hasn't seen contrasting examples where different order means something different.

In this case, I'm not sure the mistake you're claiming is a mistake. A reasonable way to produce a funny story is to make the title character funny. Making the title character funny doesn't mean that it misunderstood the directions.
Sure, we need to try it before judging one way or another.
It’s a very naive question even if I try to be charitable. I assume most developers would be more business aware?

A few obvious reasons:

- The buyer has to make commitments externally, for instance to customers, partners, finance, marketing, his boss;

- The buyer has dependencies on those external resources and needs to plan for them;

- The buyer has a limited pool of resources and needs to know when they are free for the next task or project;

- The buyer needs to get an idea of costs to complete the feature and secure the budget;

- The buyer needs to make priority calls. If feature X is significantly more effort than feature Y then we can prioritise accordingly;

- The buyer is paying and simply wants to know when he will get his shit.

I wonder if the person asking the question would be happy to let someone do a job in his home with an uncapped budget and timeline?
“Extend and pretend” shows how ridiculous this all really is.
> Under promise, over deliver.

But Apple TV still hasn't delivered, and its first version was released 16 years ago. It's still unusable for anything but the most basic tasks, and is a mess as a product: it fails as amedia hub, it fails as a smart device hub, it fails as a compute hub...
When ChatGPT was first released (the first few versions of GPT3.5) it was horrendously biased towards a liberal view point. OpenAI has fixed that recently. The main reason that happened was 3.5 was basically GPT3 was live human training. And the sample humans they chose were liberally biased.

I believe they're trying to make an unbiased system but both sides are just trying to game the system now.
> Apple sells WHEELS for a Mac Pro for $700

Not many of them though.

AirPods are 200-300 and an absolute cash cow, and probably system sellers for Mac and iPhone.
obligatory mention of "the chaos" https://en.wikipedia.org/wiki/The_Chaos
The link I posted is data for the change in teen mental health between 2019 and 2021. The data incorporates all of the effects of COVID, Lockdowns and school closures, and does not show a significant change from pre-pandemic trends.

I was using "COVID" as a shorthand for all of the changes during the pandemic.
I agree that it is complexity that is the enemy. It's not all about being a minimalist though.

The issue is in work, there are many things already decided by other people, you are just the cog in the machine making choices in your own lane, after work, in your own life, you are responsible for everything and you have to decide, those decisions are complex and energy draining and you have to make them constantly, your time is limited, so you can only choose to do a few things, but how do you know what is best and even worse you usually always don't estimate the time that is required at all.
Utah isn’t an outliers: https://www.cdc.gov/nchs/pressroom/sosmap/suicide-mortality/.... Sparsely populated rural areas tend to have high suicide rates. Vermont and Oregon are at the opposite end of the spectrum in terms of theism and culture, but have similarly high suicide rates. New Hampshire and Maine are also higher than Mississippi and Alabama.

Reducing theism (mandatory social interaction and social support) may well increases suicide rates in these places.
> Let the starting real be A. Suppose there is a next real; let it be B (generate it using some random process, if that floats your boat). The interval between them, B-A, let us call that C. I can divide C by 2, and produce a new real D=A+(C/2), which is smaller than B and larger than A. Therefore B is not the next real.

You need to decide whether you want to define counting as “there being a next element”, or “being able to produce those elements in a finite way with a predefined order”.

The issue here is that you are trying to make a finite/determinate assertion about an infinite process.

There are no reals in between 0.001 and 0.002, unless you generate them. And when you do, you can count them one by one until you finish generating them.

Just like you could never finish counting infinite real numbers, you could never finish counting infinite natural numbers.

So then what Cantors proof is saying is that if you could somehow count to infinity and get to a result, some infinities would have more elements than others. But that is a contradiction, because you can’t finish counting to infinity.

Hence, you cannot know infinity nor its cardinality. Not for the real numbers and not for the natural numbers either.
I just watched this the other day, and it was very eye-opening. They came to the same conclusion.

https://www.youtube.com/watch?v=JEe_dJZtF1E
agreed with this. it's almost like this person has never had to pay for labor before
CNBC just deleted 5 pages showing CD5 data for banks including JPM and BAC
CNBC just deleted 5 pages showing the current and historical 5 year Credit Default Swaps for:

- JPMorgan, deleted URL: https://www.cnbc.com/quotes/JPMCD5

- Bank of America, deleted URL: https://www.cnbc.com/quotes/BACCD5

- PNC, deleted URL: https://www.cnbc.com/quotes/PNCCD5

- Truist Financial, deleted URL: https://www.cnbc.com/quotes/TFCCD5

- Wells Fargo, deleted URL: https://www.cnbc.com/quotes/WFCCD5

Not deleted: Goldman Sachs https://www.cnbc.com/quotes/GSCD5, Deutsche Bank https://www.cnbc.com/quotes/DBCD5 .

You can easily use archive.org to check for yourself example: https://web.archive.org/web/20221009203204/https://www.cnbc.com/quotes/BACCD5

This might not seem like a big thing, but it is! This was one of the very few sources were you could see current credit default swaps data online. I would love to get an explanation from CNBC.

EDIT: I was actively crawling the pages in question, it did work until at least Friday, 24 March 2023 23:55:35 after that the crawling paused for the weekend as the markets are closed. So this change occurred during the weekend.
You can compare GPT-4's limitations to Hellen Keller's. Someone who is deaf and blind can still reason as well as someone with "all inputs enabled". Hellen Keller still had a "full mind."
>I mean, you're just a continuous chain of chemical reactions.

The "just" is doing a lot of heavy lifting here. I also have an immortal soul, as do you.
I only knew of this story from looking up the name of this library on adversarial DL https://github.com/cleverhans-lab/cleverhans
Show HN: Build Chatbots in 2 minutes using ChatGPT
Play bank run games, win bank run prizes.

Really, I don't love the regulatory arbitrage played by SVB and unhedged duration risk, nor the moral hazard created by the bailout, nor the somewhat bizarre attitude of companies holding huge $100Ms of uninsured deposits earning minimal interest (why have more than 1 months cash flow?), but really this was a bank run pure and simple. When you have to plan to lose >20% of your deposits in a single day you're not a bank anymore. That is a money market account or some other product, which doesn't lend long. It's a bit apropos that those who started the run will pay part of the price, although there's a LOT of collateral damage, and I don't doubt those who started it will ultimately turn that to their advantage since they have the deepest pockets.

https://www.cnn.com/2023/03/14/tech/viral-bank-run/index.htm...

BTW you can blame the Fed for low interest rates, but it's the yield curve inversion and long rates which caused the liquidity/solvency problem not the short term rate hikes (not raising short rates would increase inflation expectations and push 10y rates even higher!). And there is no hard line between solvency and liquidity, because it all has to do with time scale. If I say you have to give me $1000 in the next 3 seconds or I take your car, you can't do it because you can't reach your wallet fast enough.
Meta has Eagle Mountain. It's ~ $3B CapEx + ? OpEx. If it means billion in losses, it would pull up stakes and move.

https://datacenters.atmeta.com/all-locations/#united-states
The first few days I didn't think there was much difference, but after using GPT-4 a lot I think the leap is huge. For things where I would previously use Stack Overflow or some other Stack Exchange, I now use GPT-4 and get a working answer almost every single time, with GPT-3.5 the frequency of working answers was much smaller.
Real interest rates (nominal interest rate minus inflation rate) is still negative.
It simply wasnt booked, some might say "they" needed an excuse to justify markdowns. So many assets are not marked to market which gives outsiders the false impression.
My overwork largely stems from virtue signaling that despite being one of the few wfh devs at my company, that I’m not lazing about.
My take is the comoditisation of developers, pushing as much responsibility to them in search of efficiency. Arguably they are best placed to know how long the implementation of X might take, but often the lines are blurred, i.e. developers also become business analysts to spec out the work to determine what the business really needs. Personally I find it exhausting and is one of the aspects that makes me dream of doing something else. Maybe GPT-4 will put me out of my misery soon.
Github history has always been useless

Commit times are plain text user generated content

Just throw generated commits in a private repository and you have as much history as you want

If a sycophant or recruiter or employer wants to use that metric as an indicator of anything, that is pure happenstance and completely on them
Non-chain restaurant meals are high in calories too
I’m curious as to what “higher order emergent behaviours” you believe you are observing? Thanks.
This probably varies depending on where you live, but where I grew up (in a small town in the UK), the vast majority of 13 year olds did have access to drugs, alcohol and tobacco (which didn't necessarily mean the vast majority were indulging in those things, but they were definitely available).
“…completely unmoored from the purpose of business, which is to make money by providing a product or service within a given schedule, scope, and cost.”

Or perhaps to solve an important problem in the world, within a given scope and cost!
Could We Move the Sun? (2013)
I love this book. I read it not long after it came out. The authors newsletter can be found on his website (Oliver burkeman), is also a great read.

I love the basic productivity advice that I believe comes from Jung that he quotes, which is basically, figure out something worthwhile to do, go do it and then figure out the next worthwhile thing to do, complete forever. Something simple about that.

Jung points out that this is also a natural way of being, in that sense you are living from your true sense of self as you are deciding what is important moment to moment and actually living your life, rather than trying to make it fit some predetermined idea of what you think it should be.

I'm trying to get more into this mode of thinking / being.
This is the fourth introduction to R. This will cover functions, while loops, for loops, built-in features, and more.
I understand SiFive uses it heavily.
The 6.5 million number number the original poster mentioned is for single family houses, as per the article.

It does say when you include multifamily, the gap drops to 2.3 million.
Yeah I’d hate to be working with this guy. Your coworkers care about when things get done, too. Nothing more frustrating than to sit on your hands because of a dependency on some other team.
"Entitled to privacy" from whom?

1. Corporations?

2. Educators?

3. Strangers?

or

4. Parents?
If you’re on HN, I would assume that unlike regular customers, the journey towards a technical achievement should be as exciting to you as the final achievement itself.

ChatGPT is a giant step forward in the journey towards AGI. Tesla’s cars, for all their flaws, are big steps forward in EVs and even self-driving.

I personally find that exciting enough.
I don't understand this stuff but I have seen an argument that these graphs are spreading FUD.
I always read `ea` in `read` as in `lead`, it's easy to memorise

:-)
People were saying this exact thing in 1960 about COBOL. The job of programmer was going to go extinct because business users could write their own software.

We've been through a number of iterations of the same pipe dream since then, but it always turns out that the actually hard problem in programming is figuring out the requirements in full detail without handwaving and glossing over anything, and translating them into unambiguous instructions. And "workers from different professions and walks of life" just inevitably suck at that.

Whether this time it really is different will hinge on whether LLMs can really figure out the handwavey parts, or whether those will be exactly where they will always make up shit and be confidently wrong.
It is true that scope management through batch theory delivers consistent results, yet the quality is almost always below what would continue a products profitability, almost always initially falls below user expectations, and almost always includes a tradeoff for engineer sanity in the form of maintainability.

What the PM is not saying, or the quiet part, is that from their perspective "it is your job, do your job." Frankly, that's a piss poor take as well. People are griping about the relationship between engineers and businesses because it's taking a toll. Telling people to shut up and get back to work, worse, alluding their gripes are narcissistic at best is a woefully attrocious take.

Businesses can be better, but part of being better will be taking bets on how to make things better that the engineers (workers) don't solely shoulder or take blame for. Hell, it'd be nice to see the business aspire for internal change where the engineers aren't asked to change at all.
The Arduino hardware abstraction layer has really been one of the biggest steps towards a more universal and interoperable set of software for bare silicon. Yet as you experienced, even then it wasn't enough to bridge the gap fully.

The fact that we call other boards "Arduino alternatives" is partially a testament to that. (Say, instead of "AVR alternatives")

It's certainly not perfect, always the fastest, doesn't expose all the features one might need, but it makes prototyping and portability oh so much easier. I'm glad we have something.
Don't you think there's a difference between solving well-defined problems and very open-ended problems?
I am really interested in smart munitions be it drone shaped or rather classical rounds for howitzers. Super cool topic combining miniaturized electronics, optics and control systems. But at the end… limited buyers, crazy difficult testing and super low success chance. Not really good starting conditions for startup for average engineer.
what's the criteria for each side?
If it were a "showstopping problem" then we just wouldn't have EVs; but it's not.
> and it'd take less than a minute to get you close.

Have you actually tried this yourself? I have probably... 300+ ChatGPT chats/sessions past 30 days (aka, I actually use it).

I have 0 faith it would actually spit out anything error-free / working.
The one reason I have seen it useful for developers to estimate tasks is that it helps spot misunderstandings early on. As in: wait, your estimate is 3 days and mine is seven, are we talking about the same thing?
Used to get that a lot with GPT-3.5. But GPT-4 has been more reliable if you rephrase your prompt.
>Really makes you wonder what procurement is actually about.

He seems clever on the surface level until you consider that not only did the existing M113 which the Bradley was to replace was worse by every single criteria that Boyd had selected, but so were the BMP-2's which the US Army was facing. If there wasn't a contemporary vehicle which could meet the specifications Boyd had set, and the Bradley was a improvement over the existing vehicles, one would think that it's pretty clear the requirements Boyd had set were wildly incorrect.

The Bradley's capability was later combat proven in the Gulf War as an incredibly effective vehicle.
Thanks, I'm quite familiar with Lyle McDonald's work. One of the first to introduce keto to the mainstream, IIRC.

- Starvation experiments are not relevant to a normal person trying to lose fat. Ancel Keys' subjects were military deserters who had no rights and were literally locked up in a prison camp. They also lost tons of lean body mass. Clearly this isn't what anybody wants.

- There is actually a ton of literature out there disproving the "people used to burn more calories and that's they were leaner." E.g. 1940s New York City white collar workers ate more than most people do today and working out was not very popular, yet they were much leaner. There are some populations that used to do heavy manual labor (like farmers) but the correlation isn't really there.

- Bodybuilders/gym enthusiasts, even PED-free, aren't very relevant to the obese. You don't get to 300lbs by slightly overeating and slightly underexercising. Something's severely broken in your body and has been for years.

- Of course thin people eat less. But correlation doesn't prove causation. My argument is that something's broken in obese people's metabolism which causes the to overeat, maybe because they don't achieve satiety from the food they eat. Of course they have to eat more to put on fat, that's just physics.
This is better than nothing but the news item links go to non-text-friendly sites. Many of the other sites mentioned also have the linked news articles in a text-friendly format.
FWIW, Fedora these days use dnf, which uses libsolv under the hood.

https://github.com/rpm-software-management/dnf
https://docs.fedoraproject.org/en-US/quick-docs/dnf/
Jarvis maybe ?
Captured radiant energy was involved in the process, so I think it can be considered a photo. But it’s not raw data straight out of the camera. That being said, a composite timelapse of the night sky isn’t a raw photograph either. I don’t think you find a lot of “raw photos“ in Astro photography
An Oral History of “Office Space”
Another issue is that the FDIC insurance fund currently holds $148 Billion to protect over $17 Trillion in deposits. Where does the money come from if 0.8% insurance coverage ratio is insufficient in the event of a crisis? More money printing? More inflation?