skysight-inc/HackerNews huggingface dataset:
> Political pundits had a direct interest in sabotaging the perception of Twitter as an authoritative source of new information,

It's weird that someone think that Twitter is an authoritative source of new information, but it's quite common. Politician fight using tweets. Journalist just dump tweeter threads into paper.

I think that this will save Tweeter. A distributed version like Mastodon can't be an authoritative source of new information. Which of the instance is the real one? I guess the only way to kill Tweeter is if one of the Mastodon instance get so big that becomes the "official" one and ever betray all the other instances disconnecting them.
Next victim of the replication crisis. I'm calling it.
Grumpy cat is mainstream culture. Yes, just because something has been widely consumed does not make it impactful, but that's a very different position from there are no impactful things widely consumed.

The impact of various past countercultures is only evident in hindsight. As you said, movements like the Beat generation were at the time tiny subcultures, of the exact same sort we have loads of today. To say that 80s hackers were a counterculture but modern biohackers are just a subculture is simply temporal chauvinism.
And not only for dead people! Talk about a descriptive URL ... lol
You have to do the startup math:

Dodos scale like software and streaming platforms and need to be pitched like one.

Most of the cost is up front, and the cost for the next marginal dodo user is very small. Cost to make a dodo is $3 and I can sell them for $33.

We plan to disrupt the dog and cat market. There are currently 80M pet dogs and 60M pet cats in the US. If we capture 50% of this market, that would be 70M dodos.

This gives a projected ~210 Million annual recurring revenue in the US alone.

As growth company, we foresee a price to earnings of 40x at this point, which would put us at market cap of 8.5 billion.

If I sell you 49% of the company for your 30M startup cost, this would represent a 28000% return on investment for you.
Probably anti-inflammatory action: https://www.sciencedirect.com/science/article/abs/pii/S01650...
It bears mentioning that the mission of OpenAI is to work towards AGI. ChatGPT is, in the view of OpenAI, one step among many along the way. How it fits into their vision, no clue. But they are certainly happy to monetize this toy to continue funding their real mission. To this outsider, it looks like a win win.

> OpenAI’s mission is to ensure that artificial general intelligence (AGI)—by which we mean highly autonomous systems that outperform humans at most economically valuable work—benefits all of humanity.

> We will attempt to directly build safe and beneficial AGI, but will also consider our mission fulfilled if our work aids others to achieve this outcome.

https://openai.com/about/
Plenty of photographers have specials and nice-ish packages where you can get a few basic head shots in 10-15 mins of their time. Don't take this the wrong way, but "put in some directed effort" at this. Don't settle for scraps and obviously ill-fitting freebies given by whatever corporate organized this assembly-line production.
I like his channel but he's far from perfect. There's a sponsored product in most of his videos
Here are the types of images your users might be searching for:

Examples of a class of objects - say "Lion" - your best friend is CLIP, trained on captions and naturally weighted towards popular images.

Conceptual ideas, abstract levels - 'Beautiful painting' - CLIP is ok here, but it's not really optimised for that and most 'beautiful paintings' are not labelled as such, but rather something like 'Glowing fields of joy'. Fear not, Conceptual-CLIP has your back! It can nab these.

Diagrams/slides/technical/things with text - Your SOL beyond word match, tbh. If your image doesn't have words, maybe OCR it?

Pictures of specific things like people or logos - to "find similar" you'll want to embed old style image features like corners, SIFT features etc. Note that an iceberg with a clear sky is identical to a desert with a clear sky to this approach.
John Carmack interview with Dallas Innovates magazine (starts on page 56)
Three channels (at least 3 networks) on TV. Perhaps more than one local paper, but all the out-of-town news came from UPI or AP. Time and Life. Maybe the New York Times. And that was about it. Those eight organizations defined mainstream culture. And their positions were not very far apart.

Nothing has that level of control today. There are more major organizations, and they have much more divergent positions. As a result, the culture has fragmented, becoming multiple cultures. There is no "mainstream" any more. There are multiple major streams, but no one mainstream.
What about Python's data model makes typechecking less useful? You still need to know how data flows through your application. You can either document it in your types, or require your engineers to hold all that information in their heads/recapitulate it every time they want to refactor code. That has nothing to do with the language's data model.
I think the problem with these words is that the vernacular has different meanings with the common lexicon. But this is quite true for any field. "Field" is even a good example of this as mathematicians use it in a drastically different way than I just used it now. This can make people think they understand technicals more than they do. But if you're making the argument that ML needs to learn more math and needs more rigor, then I'd defend that claim. It is a personal pet peeve of min (fuck man, how often I have to explain to my research group what a covariance matrix is and why it is essential to diffusion is absurd).
In the same way you can run Google (the search engine) on your own machine. That is, not at all. It's those companies' biggest assets we're talking about.
The only time I've ever needed a REPL is if I'm working with a badly architected codebase such that I don't know the shapes of my inputs. It's otherwise pretty easy to reason about well-architected code without needing to run it.
Thanks for providing the numbers!
The activity and blog are clearly a demonstrative performance.

Though there's always an appropriate xkcd: <https://xkcd.com/1105/>
In the past 10 years, capitalism has become a dirty word to people under 30. Whether you agree or not, that feels like it matters.
> It's not a very strong claim, it's due to dynamic typing enabling the writing of more concise programs. The number #1 bug elimination tool is to simply write less code.

It is a strong claim, it's also a very precise claim. Where do your numbers come from?

Haskell and the ML family of languages also permit you to write much more concise programs than many other languages and they're definitely statically typed. How do they fare in your imaginary analysis?

> As a matter of principle, I won't provide citations unless you first provide some citation that says I'm wrong first. (You won't find one)

Ok, so you're an idiot. Got it. You can't make such a strong and precise claim and not back it up, and try to turn the tables by saying "No your citation!". You just come off like a petulant child (maybe you are?). Your claim makes no sense, and anyone who has at least 5 years of experience (probably less, actually) would know that.

You've asserted there are empirical studies on the topic to back your numbers. Just provide them.
For me another classic is 'Cadillac Desert' by Marc Reisner.
Large Python projects are done with microservices typically.
> This is a very important question because we need to create laws about how we can train these systems and how we handle the data that they produce

This is a rather prejudiced statement. AI does pose some interesting questions about copyright, but the most obvious question is whether the existing laws are sufficient. You go on to ask that question, but this statement presupposes the answer is that they’re not.
SEEKING WORK | Contract / Part-Time / On-Demand | Remote | Trouble Shooter / Researcher / Developer

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You can sign up for the personal use subscription and stick to Online. You can’t use Pro on Mac, but the web map viewer has grown into a highly featured editor and does a lot more than viewing (data editing, styling, analysis, charts, filtering, etc).
Is this the post you mean? http://itila.blogspot.com/2016/04/appendix-two-open-letter-t...
Kerosene(jet fuel) has between 6 and 20 carbon atoms per molecule. https://en.wikipedia.org/wiki/Kerosene#Properties_and_grades

Have fun with the math!
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I mean, there is an option to stay on Windows 10 but man... Microsoft, really scraping the bottom of the barrel with that move.

Though with only 18% of Windows users on Windows 11, and Windows 10 going EOL in 2 years supposedly... maybe they are that desperate. Having to extend Windows 10's service life would be humiliating.
As long as they're not colluding with others, this is actually a good thing for the consumer (as it's a short sighted business decision).

What happens is when prices rise, third party investment rises because of opportunity for profit is easier.

This is what Intel did for years and is now suffering... they'd been better off shipping at rock bottom prices and locking out competition.

I can't wait till we have something like the Nvidia Grace processor available from SuperMicro. Hoping to kiss some of our x86 servers goodbye!
> that kind of news doesn't cut it here

https://news.ycombinator.com/item?id=17537018

> you want to predict his failure

I never predicted anything - please make sure you source your claims.

> incredibly stupid to claim he's stupid

Again, please source your claims. I haven't seen others claim he's stupid (sorry, I don't watch the news except here, and that kind of news doesn't cut it here)

Additionally, I don't think it's following the HN guidelines by discouraging others to share their unique viewpoints. Remember, the site is for _curious_ discussion!
Everything since 7's been a downgrade. And really, if they'd just patched a very small set of 7 features into XP (mostly driver management improvements), I'd prefer that.
Oh, good call. I had that backwards in my memory. The issue is when you give out non NULL pointers to zero sized objects, you have to make sure to give out unique pointer bit patterns at least versus nonzero sized objects so that the matching calls to free don't stomp on eachother.
Yes, that's what satire is.
It's especially odd to have him on since he's not a classics professor.
I run Windows 98 on my WIP retro computer. I recently got into the habit of dual booting OpenBSD so I can rsync C:\WINDOWS to another partition, and rsync it back when it inevitably becomes unbootable as I test things out. This was a golden moment for me as I was no longer installing a fresh copy 3x per day.

More on-topic: Windows 98 is not only nostalgic but it also represents a past time when we were more in control of our PCs, and understanding them fully was a less daunting task.
Only if you started programming in Go. I've never in my life heard of another project that by default seeds with 0. That's insane.

EDIT: Okay, C and a bunch of other languages I don't use. Keep the roasts coming, guys. :D
Corrupt government agents were involved in only one of those fake murders. And yes - both of them were convicted and jailed.

The other 5 were organised by a Canadian scammer who also stole a lot of money from Silk Road customers. The whole case is hilarious. Some dude goes to SR and robs his customers blind. And then he approaches the site admin, pretends to be a Hell's Angels member and offers to kill the scammer for money. And then steals that money too. Oh and if I recall correctly - he then asked Ross for some money up front and promised to sell a large amount of drugs on SR. He stole that money too and disappeared.

So even if we consider that one murder to be entrapment. Ross is still guilty of the other 5, because law enforcement wasn't involved in those in any way.

Paying for 5 murders to other criminals makes you a violent criminal. Even if those other criminals turn out to be scammers.
Every one of them were described by dismissive epithets.
> From there to have mammal levels of thought complexity, you need to implement pattern recognition, abstraction, theory of the mind, consciousness and sentience which we still have no clue how the hell it is or works.

it’s probably not a coincidence that the undercurrent of “because those things are all illusions!” is fairly visible these days. Can’t have a failure if you redefine it out of existence!
Hmm. People are talking about languages like C?

I presumed (and even after reading, though not in detail) that this was more in the space of how some games are done, with C for the low level stuff and Lua for game logic, which I think is a good idea.
What could have possibly changed in the last several decades that might have affected someone's willingness to give their job there all?

https://www.epi.org/productivity-pay-gap/

Sorry for the sarcasm, but it is very frustrating to see people standing around wondering at this change as if it's a moral failing when people have been pointing out for decades that those at the top broke the social contract and that there would eventually be consequences.
>scan almost

At what altitude? Earth isn't flat, so even at 20km and superb electronics you don't see what happens near the ground.

Though probably someone already published their routes, but I too lazy to check, honestly. Still my point stands - As can be downed (and everyone would clap, especially in the US) while Es "NO YOU DONT THATS ARTICLE 5"
A few of the more we’ll known theories:

- no stars in photos (film’s dynamic range too low)

- no observable landing sites (resolution of telescopes too low)

There are many others.
Because the implied answer is "it isn't different". That grinds our gears (for various values of "our") because 1) it assumes an answer to what is, at best, an open question, and 2) we think it assumes the wrong answer.

If asked in good faith (not assuming the answer), I can agree that it's an important question.
Neuroscientist Andrew Huberman says it in episode 2 of the Huberman Lab Podcast. Sorry I don't recall where in the episode.

Huberman never specifies how low in the sky the sun needs to be for the sunlight (and my guess it is specifically the indirect fraction of the sunlight) to have a strong effect on the timing of the circadian clock.

"Indirect": scattered by the atmosphere.

I tried to corroborate with other sources, but gave up after about 60 min in a search engine. I have corroborated by my own experience though (I aim to go outside about 10 minutes before sunrise, but sometime I am delayed by up to 30 min) and the experience of a friend. Also of course the grandparent of your comment is corroboration of one half of the hypothesis (the other half being the assertion that when the sun is high in the sky, it has neglible effect on the timing of the biological clock).

He says that on a cloudless day, you only need 5 minutes of exposure provided your eyes have a clear view of the sky (i.e., no brim of a hat obscuring half of the sky). On a very overcast day, 20 min might be required.
I recently gave a talk[0] to data engineers that is an extension of this idea. The conclusion I came to after years of considering this, the Blub paradox and various other sources, is that we should use more languages.

In the talk I mention Gary Miller, who is working on formalizing the tradeoff between expressiveness (as defined by jumps in the language hierarchy) and decidabilities. The TL;DR is that as you jump up the language hierarchy you lose more decidabilities. A decidability is a question that can be answered with a yes/no. For example: "does this program halt?" is a decidability.

Interestingly this also shows a difference between lambda calculi and universal turing machines. When you go from lambda calculi to UTMs, you lose equational reasoning (but depending on how you define an encoding function, you may also gain intensionality). This of course has some implications, which is pretty much a can of worms that nobody wants to touch (i.e. whether the Church-Turing hypothesis is true)

[0]: https://www.youtube.com/watch?v=KOuwZEtHZ_U
He was was an armchair cryptographer. Not a particularly bright or studied one, but a cryptography enthusiast nonetheless. The kind of person to get all hand wavey about the efficacy of timing attacks and POODLE.
> The students bullshitting their way through course work are like the lifters using bad form to make the mechanical goal of moving the weight easier in the short term. They completely miss the point.

Eh, when your future career prospects hinge on what grades you get it's perfectly rational to optimize for getting those grades over learning "properly". Especially in subjects you know you're already competent enough in or that aren't relevant to your future goals.

It's stupid in weightlifting because nobody is going to pay you a higher salary if you can do 15 reps instead of 10.

(Although there's a related and opposite problem where people massively overestimate how important their highschool grades are and get unnecessarily stressed out over it.)
Bullshitting well is an important skill in life. Sometimes the content doesn't matter, it's how you say it that matters.
And C# can do that with static typing via LINQ, which is really nice honestly. It’s a bit different but it would be something like:

var result = await (from c in Customer where c.orders.sum(o => o.price) > 1000 select c).ToListAsync();
And almost all of the revenue for it comes from mobile users.
This goes for human organizations and communities in general. If you want something to persist and excel, find a way to empower the people who truly Give A Shit.
That's exactly what the post you're replying to is saying. It's saying that ChatGPT _would_ respond a certain way but has a bunch of schoolmarm filters written by upper middle class liberals that encode a specific value structure highly representative of those people's education and backgrounds, and that using it as a tool for information generation and synthesis will lead to a type of intellectual bottlenecking that is highly coupled with the type of people who work at OpenAI.

For all the talk of it replacing Google, sometimes I want a Korean joke (I'm Korean, damn it!) and not to be scolded by the digital personification of a thirty year old HR worker who took a couple of sociology classes (but not history, apparently) and happens to take up the cause of being offended for all people at all times throughout all of history. The take on ethics being a vague "non-offensiveness" while avoiding all of the real, major questions about ethics (like replacing human workers) with these kind of banal answers about "how we need to think seriously about it as a society" tells pretty much everything there is to know about what the ethical process at OpenAI looks like which is basically "let's not be in the news for having a racist chatbot".
It's analogous to measuring the length of something by using the length of your forearm

Yes, it's less precise than using a tape measure, and it often gives an inaccurate answer (sometimes extremely inaccurate) but it's often an efficient thing to do, as long as you are aware of the limitations.
The most common type error I see are unexpected null values. Which, surprise, is still a problem in many typed languages. :)
With the downside that if you ask it to include iron nails in the recipe, it will gladly do so :)
Do you think ethics would stop them? You should always assume that if a company can do something that will increase their profits, legal or otherwise, they will.

The Samsung keyboard that shipped with my cell phone was sending every single letter I typed to a third party whose privacy policy said explicitly they used that data for market research and to make determinations about the intelligence and level of education of the user. Companies are collecting analytics and monitoring people while they play video games which is then being used to group them into categories.

Lists of people with low intelligence, poor education, alzheimer’s or dementia are extremely valuable and data brokers are happy to sell them to advertisers and scammers. Google just put themselves in a position to collect that kind of data as early as possible. Why would you expect them not to use it?
The way I interpret that paragraph is that now with an additional revenue stream (Pro/ESM) they can develop security patches and only subscribers will get them. I think their attempt to get the conversation started (putting ambiguous sentences inside of apt) has back fired however.
In my mind it will always rhyme with tapir..
I meant links to instances where you used UML diagrams in an active issue. I'm more interested in seeing how people use it rather than how to make it.
> It may not be a step towards AGI at all

It caught on quite quickly for it not to be something very important.
Don't you get it. Its shuttles retrieving other shuttles all the way up!