skysight-inc/HackerNews huggingface dataset:
I'm not sure where you get your information, but mental illnesses certainly can be identified by physical (neurochemical) differences from a statistical baseline. Probably one of the easier ones to identify is dopamine deficiency and dysthymia.

Drugs can certainly mess up someone's life (see my earlier post). But untreated mental illness can literally end your life (either directly, via suicide, or indirectly, via medical complications from body dysmorphic conditions)
Its impressive that it can pass as your usual post where the author just seems to want to mention a topic without explaining anything that would warrant the need for such a post.

I'm afraid we're in for a lot more of this everywhere. Its already a struggle trying to understand people when they are actually trying to communicate an idea across, now add these bots into the mix everywhere.
In reality it's not $10M (to the government - although it may be to you personally).

My government doesn't own me and doesn't get most of my income, so why should its budget reflect the whole of value of my life?

Most people don't pay any tax. Should the government spend millions of taxpayer money to save each such life?
> head out of the office at 5:00 sharp

If only we could figure out a way to work out a technology/innovation culture that lets people work with laser-like focus on a productive 40 hour work week, have lots of time with their friends/familiar/hobbies, but without the religious part. And without a huge percentage of community social activities revolving around one particular religious ideology.
If referring to resumes, every company is different. A lot of places like to see continued training of any sort.

The majority of value comes in learning the material & being able to discuss related topics during interviews or while networking.
Pursuing advancement of technical proficiency over leadership. I would completely change that to focus more on administrative and managerial performance much earlier in my career. In my defense, though, leadership is really weak in software so that would require more initiative from less examples/guidance.
I'd love to have this sort of i18n for Python or JavaScript, and a good kid-friendly environment. Scratch does i18n well. Text-based programming doesn't. There's a gap in age between programming and English fluency.

What's odd to me is the page is internationalized. Their explanation: "As a developer, you have to know some English. Nobody is going to change that anytime soon."
Show HN: Faster ML Prototyping
Was this hypothesis used in Snow Crash? I read the book too long ago to credit my memory but it made me think of the book
I think I've read this book.. eventually a lady will have to eat an elephant
Tailored clothing can be surprisingly inexpensive, especially outside the US. A 3D scan / in-person fitting and then overseas garment manufacturing could be a solid business model.
> I dunno. There's a bot on /r/buttcoin that posts dumb bitcoiner quotes, and bitcoiners would keep showing up and arguing with it. So I think the Turing test bar's a little low in this domain.

If you're saying that because you understood that the article was claiming that GPT3 was impressive because it fooled people on bitcointalk.org, then I think you just demonstrated that GPT3 passed the Turing test with respect to cryptocurrency-critics. :)

[The posting to bitcointalk.org was a fiction written by GPT3.]
They are ahead by a few weeks, yes.
I've never seen dress pants with side pockets like this (that is, not cargo pants) for sale at a major retailer. If they really are so common, what are they called and can you point me to an online store selling them?
Designing an Intelligent IoT Ventilator from Home, Pt 3
Tempering Expectations for GPT-3
You're right, 90% of cars are white coloured. Honestly I have no idea why it is that. Prabably this worth some research.

But usually when my friends wanted to buy a car, they chose the white color by the following criteria: it does not heat much like other colors on the sun. If we take into account that there are not much parking lots and garages with a roof, white colored car is the best choice.
Thank you for your response! I hope you don't mind me asking some follow-ups.

> we send them home with a set of 5 coding tasks.

How do you provide these tasks? Via email? Links to GitHub repos?

> come back and conduct a code review of their code with our team

How does that usually work? Does it happen in their editor of choice? On a company machine or theirs? Do they submit a PR? Do you take a look at their submission before inviting them back in?

> They take as many days as they need

Is there an expectation that they would spend days or effort? Or just a few hours? Do you try and adjust expectations of code quality for the time they dedicated to the problem?

> So far, we've had nothing but very strong hires with this approach, and the applicants have all said they very much appreciated how we roll.

That's great to hear it's working so well. Thanks again for the thoughtful response.
This is why I'm advocating for strong laws around unproven medical claims/advice and harsh penalties.

Celebrities (or frankly any social media idiot without relevant medical credentials) should not be making medical claims, otherwise we get things like Goop, bullshit essential oils and magic rocks to protect against 5G.

Any platform that amplifies the reach of these posts should also be held liable.
Now, this may be based on incorrect assumptions about your flying habits, but my understanding is that at least with many of the US airlines, the routes that flight attendants fly on are allotted by seniority, and the longer routes are more coveted, since they allow you to take a smaller number of flights per week to make up the number of flight hours required.

This means that newer, younger flight attendants tend to fly the short domestic flights, while the longer, transoceanic flights (like the ones European travelers are more likely to see American airlines for) tend to be staffed by the older flight attendants.
I had 3 pepper plants in pots (raised bed) and planted 2 of them in the ground and 6 months later the one in the pot is still doing good but the 2 others died (all watered the same and next to each other)... There could be many reasons why that is but they appear to grow better in pots
GPT-3 isn't magic. That's the most important thing. I got so amused with the hagiographical tweets that I coded myself a non GPT-3 demo :)

https://twitter.com/nutanc/status/1284446411438710784
While this may be true for Bi-Polar disorder (I'm not as familiar with this), there are some mental disorders that do display as differences in the brain (such as ADHD).

However, while these differences can't be rectified with medication or other therapies (yet), the side effects of these differences can be ameliorated by medication.
I've heard that take on it before. I question it, to be honest. Introvert/extrovert is more a spectrum than a binary value. Sure, the people on the far end of the extrovert side will struggle if they are isolated. But that isn't 50% of the population. And once the pandemic is over, they won't be isolated.

I believe people are conflating remote work during lockdown with a post-pandemic, healthier remote lifestyle. This pandemic will end at some point, even if longer from now than we would like. And at that point, people can freely walk away from their desk, see friends and family, go out for lunch, go out after work, etc.

When people talk about the future of work, I take it to mean where we are headed over the coming years and decades, not next month.
The people who install things like that generally don’t have that in their mind when doing so.
Slightly OT, as a foreigner living in the US, the thing that really breaks my heart is seeing a 70+ yr old greeter at Walmart.

I've grown up seeing many retired folks having their own tiny business or just running their family businesses, but the greeter thing doesn't sit well with me. I don't know why it makes me so deeply uncomfortable. It feels like some kind of a breakdown of a social contract.
FYI, the name for the jealous god among many gods is "monolatry". Historically, monolatry has a strong tendency to morph into monotheism, as it's much more stable belief system vs. having solid reasons not to worship other gods on the side.

In the Bible, there's evidence that the earliest Judaism was monolatrist[0]. You can see a very long period of frustration the priests have with people mostly worshipping the most powerful god, but hedging their bets with side worship of Baal Zebul, Asherah, etc. despite Yahweh's jealousy. They had a much easier time discouraging the side worship once they started asserting those side gods didn't exist, rather than saying they were dramatically less powerful.

[0] https://en.wikipedia.org/wiki/Monolatry#In_ancient_Israel
https://youtu.be/bVJ-mWWL7cE

Just googled branchless programming :)
My perfect Node server for Web APIs
Woot I made it!
I just spent an hour or so playing around with the paid version of AI Dungeon, and was super unimpressed. It's pretty fun for a moment, sure, and I assume some really heroic work went into building it. I'm not saying the creators did a poor job so much as the task is really hard and the final result is...lacking.

The "Dragon" (GPT-3) engine responds reasonably to any particular input, but clearly lacks a coherent state of the world. Objects appear and disappear; plot cues are given and then can never be summoned again if not immediately grabbed, environments change dramatically without explanation, etc.

Do you feel otherwise?
We've made all this so complicated. Instead of the beautiful simplicity based on UNIX philosophy (arguably), modern devops feels like a mishmash of ideas plopped together, tied with a bunch of yaml tape and god forbid if you ever want to look inside the stack of mess. Containerization is a great idea but flawed in its interface.

I like what Jim Keller (chip architect) says about complexity - that we need to throw away everything and start from scratch to which the interviewer asks, how often? Jim responds that currently chip architectures are re-done every 10 years but it should be more like every 5 years[1].

Just like any evolutionary process, there comes a point of diminishing returns because mistakes made cannot be corrected due to many other things that get piled up on top of it. So, it is difficult to track back. What happens is more shit gets piled up on top just to patch up old mistakes. Like our laryngeal nerve that loops around from the brain, all the way to the cervical area and goes back to the voicebox[2]. It is even more evident in a Giraffe. A good architect wouldn't design anatomy like this. The reason why it is the way it is, is because evolution has no hindsight and marginal cost of undoing the nerve is higher than just slightly increasing the length of the nerve. This is what we do in software. A good architect wouldn't design software like this. Sorry for the diversion, but I just feel so much pain with Docker, Kubernetes, Terraform and a whole load of AWS complexity. Holyshit.

[1] https://www.youtube.com/watch?v=1CSeY10zbqo

[2] https://en.wikipedia.org/wiki/Recurrent_laryngeal_nerve#/med...
> Maybe. Right now this reads like a glorified shopping list. It's coherent, but actually sounding human also requires a theory of mind.

I'm going to call this goalpost shifting. This article is better writing than some % of humans, theory of mind or otherwise. The AI has comfortably surpassed Timecube-level writing and is entering the pool of passes-for-a-human.

'Sounds human' is a spectrum that starts with the mentally ill and goes up to the best writers in human history.
Seems high
They aren't getting much back from selling the data. Maybe $20 off.
Some of those aren't believed assumptions, but asserted ones. For instance, I would think a build system that asserts that builds are acyclic is good. People who want a cyclic build are unimportant and can go elsewhere, while I enjoy my simpler build system because of it.

Simplifying assumptions are good.
From the article:

> Docker is an excellent means of distributing those sorts of tools.

No, package managers are excellent means of distributing and managing installed tools. Docker is an excellent way to package the tools, but it's distribution and management are terrible. There isn't even a command to simply show which containers are considered "outdated" without having to repull all your images, which can take 10+ minutes on 30 images.
I think you are underestimating what an advance these models are over previous NLP models in terms of quality. Before GPT-2 we didn't even have models that could reliably generate grammatical sentences. Now we have things that generate coherent (if not beautiful) paragraphs. It seems easy in retrospect, but some of the smartest people around have been working on this for decades.
GPT-3 is a better writer, grammatically, than the author, but my first reaction to the article was that it's nonsense. Glad to see that it is indeed nonsense. Grammatically pleasing nonsense but nonsense nevertheless. Mildly interesting at best that AI can generate nonsensical bullshit. The question is, can it generate bullshit that makes some sense, politician style? That would be impressive.
High resolution doesn't mean high accuracy in this case.
That's why I stopped using Ansible in favour of pyinfra.
In my experience, large sales team = pushing hard into B2B
The transformer model as presented in GPT-3 may be a few tweaks away from a human-acceptable reasoning, at which point we may realize that human brain is just a neat party trick as well. This may come difficult for some people to internalize, especially those who understand the technology in depth. Because it means that the medium of our reality is the consciousness.
Slavery in Utah lasted 10 years and included very small number of Afroamerican and Native American people so certainly economic success of Utah is in no significant way connected to slavery.
Show HN: A Head for Headless Chrome
ISDB-T has similar system and some Toshiba DVRs at some point had similar mass bootloop I remember
"didn't actually kill anyone"

Sure, but the intention was clearly there. He had guns inside, had shot them from a gun port in the chassis, destroyed structures that were occupied until they were hastily evacuated, and had people's names on his kill list.
Doctors are not starting new big economy streams. The only exceptions are probably korean and Thailand.
For those who are new/naive to this concept and find the statistical value of life repugnant, consider this (which others have quoted to me):

"If you refuse to put a value on life, the value that will be inserted into the spreadsheet concerning the value of life is 0."
Oh that's a good way of thinking about it.
Well, when 3 guys start it and work on it for a long time, incorporate for a year, have an office and employees, and then a VC comes in, the VC definitely did not "found it", no matter when you define the actual date.

https://web.archive.org/web/20150228163500/http://www.busine...
Does SLC have an some advantage over the Denver metro area? It seems like both are pretty comparable yet the Denver has more room to grow; pollution is a huge problem in SLC. SLC may be a bit cheaper but I think it's catching up fast due and Denver is quite a bit more diverse and has a lot of cheaper suburbs.

Perhaps I'm comparing Apples to Oranges but I've just always been surprised by the relative interest in SLC compared to the Denver area, at least by HN metrics.
"Every account on reddit is a bot except you."

https://www.reddit.com/r/AskReddit/comments/348vlx/what_bot_...
I agree with you, but also the following is "just" an implementation detail:

> only context it has is its prompt

The only real context is its latent representation of the prompt, there's nothing fundamentally limiting visual, auditory, symbolic, and mixed prompts as long as they map to a common latent space and the generator is trained on it.
> the airline said it planned to have its pilots temporarily assume flight attendants' roles

Excuse me captain can you top off my orange soda and fetch me a bag of peanuts?....this isn't what their pilots signed up for, expect a Icelandair pilot strike next
There are people who have spent thousands of years farming in environments as arid and hot as Saudi Arabia. What's out there isn't as well-marketed as permaculture, but it's also a lot less woo-woo and proven to be sustainable. In my area (California), I've found dryland techniques from Arizona natives to work extremely well. Considering Arizona is around the same climate as Saudi Arabia, but with more rivers, I suspect they'd probably work there too. Nabhan's Enduring Seeds captures the general principles decently, but the technical information is scattered about in various places. You may have even more luck with things like Sorghum (a highly drought-tolerant African crop) in a more local system.
There will be a pilot, co-pilot, and additional pilot-rated staff performing cabin safety duties.
https://www.ethicalads.io/ is by Read the Docs, which I have a generally positive opinion of.

https://www.carbonads.net is by buysellads, which I have a generally mixed opinion of.

There was a similar company called codefund, which has recently shut down and now redirects to ethical ads.

All of these are for tech publications and have moderately rigorous applications, with requirements for content and traffic.
Use and inspect similar software.

Understand the problem deeply.

Tinkering to help think
my $0.02: it DOES seem similar to bitcoin in that

- the technology is intrinsically interesting
- there is a ton of hype
- but it seems ultimately commercial viability of projects is questionable

Why do I say this?

Well, the "solution" here is instantaneous text generation.

even if it is 99% believable, that 1% error is probably a dealbreaker most use cases

example a: generating code

sure you can generate some simple react components, but snippets already do that.

for anything more complex / production ready, you still need to fine tune it manually

That said, I hope I'm wrong and some cool AND useful applications come out of this

In fact my initial reaction was pure hype but now I'm going the other way
https://mobile.twitter.com/quasimondo/status/128437208846011...
I think you should also include in undergrad debt.

Are you factoring in opportunity cost during the years of not getting paid as much?

And not all doctors get paid that much; instead of average, a median would be better for comparison since some speciality get paid a lot, and some barely.

Also, at age 32, you already have 10 years of experience as a SWE and have been getting paid a lot, with chance to invest (same assumptions of financially responsible person for a doctor as you mentioned)
There are a few concrete things the (fake) article says, primarily about what software to try (OpenAI's GPT-3), and where to try it (bitcointalk forum). Personally, I actually resent being mislead like this, at least on that second point, even with the full disclosure. The output is very high quality, but it is making at least one falsifiable assertion (no test was ever done in that forum).
Well, not really, because the next generation will disproportionately come from atheists, and likely the next one even moreso.
This sounds a bit condescending and has a lot of assumptions baked in. There are legitimately many reasons why someone at 70 wants to works as a greeter, including pure boredom or curiocity.
> I had to spend some time with google to find the right spelling.

Well... here goes the nitpicking.

The German word is "Hügelkultur". If you for some reason can't use an Umlaut, the proper spelling would be "Huegelkultur".
Now you can trying Amazon Prime for a 30 days free trial
Can you elaborate on how you are having GPT2 contribute to your comments? What is your process?
The domain is play.aidungeon.io and the GPT3 based version is only available to sponsors right now.

After seeing that the domain name didn't work I thought for a moment that your post was GPT3 output-- imaginary URLs is a good GPT2 tell--, but some research shows that there actually is a GPT3 version:

https://medium.com/@aidungeon/ai-dungeon-dragon-model-upgrad...
White cars are very popular in hot, dry climates (like Uzbekistan) because they don't absorb as much heat in the desert run. For another example of this in a much freer car market, see Israel, where I'd guess a solid 80-90% of cars on the road are white.
Does Coursera provide an education?

I don’t mean to be a blowhard.

But if you’re going to argue that it does, that you’d send your kids to CourseraU, you are conflating the aesthetic experience of learning with actual learning.

Much like many video games, quite successful ones actually, reenact the aesthetics of work but are in no way shape or form actual work. This may be important for why they are an appealing product but don’t go and argue (as hardly anyone does) that League of Legends is work. That’s why it would also sound absurd to say Coursera is learning.

The University of Phoenix people are total shitbags. Charging for some shit certificate is a complete shitbag move. Just because it’s online doesn’t make it special.

In that sense, yes, expect that ads will happen. I think you’re onto something.
There's nothing wrong with the word black.

Something seems wrong with using the terminology “master/slave” in the 21st century when we mean “primary/secondary” or “default/dev” when using version control software.
That's one theory, and another is that it came from Louisiana currency. My understanding is that the precise origins of the term are unclear.
I've started working on a version of GPT-2 which generates English text. The purpose of this is to improve its ability to predict the next character in a text, by having it learn 'grammatical rules' for English. It already works well for predicting the next character when it has seen only a small amount of text, but becomes less accurate as the amount of training text increases.
I have managed to improve this by having it generate text. That is, it creates an 'original' piece of text about 'topic x', then a slightly altered version of this text where one sentence has a single word changed, and this process is repeated many times (about a million). It seems to quickly learn how to vary sentences in a way that seems natural and realistic. I think the reason this works is because it reduces the chance that the grammar it has learned for one specific topic (e.g. snow) will accidentally be transferred to another topic (e.g. dogs).
Of course, this all means nothing unless it actually learns something from the process of generating text. I haven't tried this yet, but the plan is to have it generate text about a topic, then have a second GPT-2 system try to guess what that topic is. If the resulting system is noticeably better at this task, then we know the process has increased its ability to generalize.

One potential issue with this approach is that the text it generates is 'nonsensical', in that it is almost like a word-salad. Although this is a standard problem with neural nets (and other machine learning algorithms), in this case the text actually is a word-salad. It seems that it has learned the rules of grammar, but not the meaning of words. It is able to string words together in a way that sounds right, but the words don't actually mean anything.

Plot twist: This comment was generated by GPT-3 prompted with some of the comments in this thread.
Are you sure? Those rules apply to the storage of rifles, as far as I remember, but regarding transport, the law only says that the weapon cannot be transported with ammo: https://www.admin.ch/opc/de/classified-compilation/19983208/...
Have you tried cowriting with it? Incredible for first drafts.