skysight-inc/HackerNews huggingface dataset:
You're correct that no one dies from LSD overdose, but there are other serious concerns here. High doses of LSD can result in hallucinations so extreme that the person is not seeing reality--they're literally blind. A rational reaction to this might be to sit down and wait for the trip to pass, but people on giant doses on hallucinogens may also be experiencing high energy and restlessness which cause them to move around and run into things, fall down stairs, etc.

I met a person who, while on a ~1/2 lb dose of psylocybin mushrooms, fell face first down stairs onto a train platform without even putting his hands out, breaking his nose, smashing out all his front teeth, and getting a severe concussion--it's easy to see how this could have been much worse had he fallen off the train platform.

And that's just the physical effects. I've met a few people who were fingerprinted (moisten a finger, press it into a tray of crystalline LSD, and consume whatever sticks to your finger) and at those doses, they all reported long-term hallucinations (in medical parlance, hallucinatory persisting perception disorder or HPPD). Others were diagnosed with PTSD after bad trips (one reported being "psychically attacked" by evil spirits, another was convinced that everyone was trying to kill him).

There are numerous cases of people being assaulted sexually or violently while on hallucinogens, and feeling that they could have defended themselves had they not been tripping. That's not to say they are to blame for the actions of their attackers. People who are on drugs are vulnerable, but the reaction I'd like to see is not to blame them, but instead for communities to care for them and protect them while they're vulnerable.

Now, I'm well aware that as someone volunteering in harm reduction, I only got to see the bad cases. For every patient reporting a negative experience, there are hundreds if not thousands of people who use hallucinogens and have positive experiences. I'm not against drug use, I'm merely advocating that people do so in an educated, responsible manner, understanding the very real risks they're taking. Just because the LD50s of LSD and psilocybin are very high, doesn't mean that a high dose of these drugs is not risky.
Volunteers wanted to build More Human Internet
I'm sure a minority of people have the same fear/reaction. If things remain shut down forever, I think this could translate to a majority of people.

Other than that I think it will be business as usual.
Aside from this article and similar, I can't find any credible confirmation that Amazon packages are delivered "fourth-class" or what that means. After all, big bulky boxes are hardly competing against catalogs for space in the mail truck, the differences in size are so huge.

Amazon has a private contract with the USPS that presumably puts it in its own unique category regardless of other labels, and the USPS likely loses money for late delivery, so this is just things operating how they're intended to operate.

The real problem is politics that doesn't give the USPS the flexibility to expand. I live in Brooklyn and haven't gotten a single package delivered on time by the USPS in the past 3 months, always 1-3 days late.

Any normal business hires more employees as business booms, and remember the USPS makes money off Amazon. Unfortunately, the USPS is so hamstrung by politicians that it can't simply expand to meet demand, the way e.g. Amazon Fresh has.
I used SpamBayes a few years ago http://www.spambayes.org/ (Is the project dead now?) (It has a PSF licence https://en.wikipedia.org/wiki/Python_Software_Foundation_Lic... https://en.wikipedia.org/wiki/Comparison_of_free_and_open-so...)

The nice part is that SpamBayes gives you two numbers, the spam "probability" and the ham "probability". When one of them is very close to 1 (like > .99) and the other is very close to 0 (like <.01), there is a good chance that the message is really spam or ham. And this classify almost all the messages. But from time to time you get a message where the numbers are not so clear, or both are big or both are small, and this means the classifier is confused and you really must take a look at the message.
But wasn’t Canada Post also having some overload and delays? Blaming Trump for absolutely everything is getting to be a tied old canard.
Just tried to sign up and I can't paste in a password into the input. This means I can't use a password manager :) So I didn't sign up.
Companies change over time. Google is doing fantastically well financially but they'd be remiss if they did not use this to get rid of a large chunk of opex if they could. Note that that company is happy to send customers invoices for $30 so I'd go on the assumption that if they can save many millions they'd be interested.
I’m not interested in comparing it to the old way, that’s saying “this unintuitive way of doing things is a better way of doing them than before when they were impossible”. Achieving that is a too low a bar to be worth discussing.

It is very much not readable, as evidenced by the other python-experienced commenters on this thread having no clue what it means (“readability” doesn’t mean “easy to understand for people who already know what it means”, as achieving that is a very low bar. What should be targeted is “obvious enough to have a clear meaning even to those who haven’t studied the exact section of the spec”, which is possible in the JS approach as they’re reusing the same syntactic constructs throughout the language, but is impossible in the Python approach because they introduce new syntax to work around every little limitation of their existing syntax)
Starting a Business with Stripe Atlas
the secrets being kept are the ones that aren’t very interesting.
I'm sure a small minority of people are in the same boat as you.
I'm not sure this qualifies as a conspiracy theory, maybe more an open secret. There's not anything out of the ordinary about a company only publicizing things that are good for PR. I remember reading a number of articles about 5 years ago hinting that Deepmind was onto something much bigger than classifying cat pictures. NDAs are usually quite effective at protecting trade secrets. And if you go back and read interviews from around the time of OpenAI's founding and read between the lines, something clearly had concerned Musk and Altman enough to get invested in AI ethics. I remember thinking at the time that they didn't seem vaguely concerned, but specifically concerned, very much like they had seen a demo that spooked them.

Here's an example: https://www.theverge.com/2016/6/2/11837566/elon-musk-one-ai-...

Read past the fluff and the skynet. He's telling us Google scares him and makes him concerned for democracy.
I’m looking for a detailed checklist that a reasonably well trained scientist in the field could follow. This should include equipment they used, and guidance on where variables should be adjusted for sample size.

See https://www.protocols.io/view/human-colon-tissue-clearing-an... and compare to the amount of detail even in the supplemental methods.

Again, I think the concision and “refer to previous methods” approach is mostly* fine for discovery papers, but if the method is the thing, I want all the gory details in one place.

* but also, academics hate chasing down chains of references, some of which are in journals their university doesn’t subscribe to.
Without having any knowledge of or experience with Storybook, that sounds like an optimal approach for such a project.

I thin Hashicorp does something similar on top of slect core features (which tend to eventually end up on the free and open version eventually, which is funny because the enterprise customers end up being beta testers due to HC's habit of releasing features in a half-working state).
The Next Generation of Neural Networks
I also run a mail order business with "statistically significant" order quantity sent USPS. I've been tracking delivery times. For several weeks around July 4 more than 10% of packages were seeing >2 week delivery times. However it has since returned to normal.

I expect delivery times will go sideways again in Q4.
> California gas prices

Most European drivers would be thrilled with California gas prices: https://www.bloomberg.com/graphics/gas-prices/
"What about charging for build and distribution? Krita does something like this for their Steam and Windows Store versions, that helps finance their development."

Ardour[1] does this too, and from what I understand its lead developer manages to support himself from this.

The Linux distribution that I use is Gentoo, and it has Ardour in its package repository, but that version is always old compared to the newest version of Ardour.

So if I want the newest version I have to compile it myself (which I can and have done, as I have the technical expertise to follow their build instructions), but for others who want the latest pre-compiled and/or want to support Ardour's development, they can donate.

There's also Harrison Mixbus[2], which is a commercial product built on top of Ardour by another company.

[1] - https://ardour.org/

[2] - https://harrisonconsoles.com/site/mixbus.html
Craig Federighi (Apple) at Berkeley (2019)
How do you handle a query like

"What's the movie where the guy turns into a pidgin?"

This should return results for Spies in Disguise, and indeed, every search engine I tried does. I doubt any relevant page actually contains all the words in my query.
Do you have any messaging suggesting that people donate in proportion to their ability/usage?

I personally have found that I end up donating more frequently to projects that are both explicit about donating and make it easy to donate. Put a link in your README, sign up for GitHub sponsors, etc. And if you have a way to communicate directly with the largest businesses, don't feel embarrassed about nagging them about donating. It's likely that most still won't pay anything, but some will!
Our Genes May Explain Severity of Covid-19 and Other Infections
You're at a desk during most of that call, right? Share a screen and start typing out bullet points as the PHB blabs and blabs, and then email it out. Then hold people to it.
China's Huawei holds a 5G trump card
The device uses the "Peltier effect" to cool: https://en.wikipedia.org/wiki/Thermoelectric_effect#Peltier_...
Arguably PageRank cannibalized itself, it created incentives to make the web itself worse.
On that data point: I wonder if anyone can comment on how much useful training data we could get out of generating text based on knowledge graphs/databases that we have. You can construct an awful lot of sentences out of just a few facts (e.g. weights of various classes to generate sentences like: "x's are heavier than y's, but not as heavy as z's"). All the variations would contain the same information (of subsets of it), but the same could be said of lots of text online. Obviously this is an inefficient way to incorporate the databases into a GPT-like model, but it might make sense economically given the race that is now playing out - just shoehorn it in or you'll be left behind (at least in the short term) by those who do. "We can work out how to make it efficient after we're rolling around in cash."

The knowledge databases could be used to generate what would essentially be "word problems" (in math classes), starting with simple things like "If I put three marbles in a cup, and then I take one out, and each marble weighs 20g, then the remaining marbles weigh 40g in total" and moving on to progressively more complex ones.

If that were to happen, then you'd see companies employing people to create templates which essentially convert databases into sentences/paragraphs, which can then be consumed by the GPT-like model.

It seems like this data would need to be used in a sort of pre-training step though, because you want the model to encode all the relationships, but you don't want it to learn to generate these types of concrete sentences, specifically.
>"bring this tech out of the shadows and into the sunlight so we could debate it and regulate it"

Ahh... I'm not so sure; see the comment by blueyes. Had it been OpenAI's goal to engage in debate and regulation for this technology, they would have been vocal about that aspect of their work already.
I do wonder if there's some conflation of age and institutionalisation; as someone in mid 30s who knows plenty of people in the industry a decade or so older, I'm just not seeing the "life ends at 40" thing that many commenters seem to imply.

However, someone who's worked for 20 years at the same place (especially if it's a place where things are done A Certain Way, and anything else is heresy) may well have trouble moving job. And such people will of necessity be older. I suspect that a lot of the perceived problems for older people moving jobs are really more about institutionalised people moving jobs.
Bitcoin Jumps Above $10k for the First Time in Six Weeks
False dichotomy, you can use algorithms in tandem. And cherry picking... I remember Mahalo well, and one example of one version of it doesn’t prove anything. Mahalo is far from how I’d structure it.

You can still automatically index but have users vote on the results. There are 1.7 billion websites and 3 billion+ users, and you don’t need that many to be active voters to help assist algorithms. Plus how many are at the top anyway? I’d love to downvote a ton of google results even if it only used it as a trainer for my own.

Plus, there are so many “super curation” sites like here and Reddit that provide a big dataset curated by people automatically. Lean on them more. Everyone knows “site: reddit.com” or “site:stackoverflow.com” already give you better results.

A simple upvote downvote on their results would let me downvote all the spam SEO sites. It wouldn’t take many votes for them to start tuning it.

Stats are a good way to blind yourself. That algorithms scale doesn’t mean people don’t improve them. Google’s problem is they are too cocky about algorithms, but their algorithms fail compared the curated communities all over the web already.
> are billion dollar industries

When speaking of billion dollar investments, a billion dollar industry is not substantial. Google and Facebook's industries are advertising, at $600bn/year. Amazon's industry is retail, at $25tn/year.

What's opened up by the GPT-3 and its prompt-programming abilities is services, without qualification. That's $50tn/year, and capturing some tiny percentage of it is what's needed to make a billion-dollar investment worthwhile.

That said, I admit this isn't the mindset most people take when they read 'substantial'.

e: I changed the wording from 'substantial' to 'transformative', thanks!
I wonder if it is so smart to reduce sweating / skin surface temperature when your body has difficulties cooling down. Seems like the same word of warning as for cold leg compress might be reasonable. Has someone done the math if this can really cool you down?
What's the Main Thing We Should Learn from the Twitter Hack?
Congrats on the launch! This looks nice and super-helpful.
"If you ignore the framework that is a requirement for 20-30% of advertised positions,"

The "framework of the month" is not "a requirement for 20-30% of advertised positions". The "framework of the month" requires a minimum of a year to get to that point and 2-3 years is a lot more common, even in the JS frontend space. By the time something gets to 20-30% penetration it's past that phase.
This is funny, last year, I got my real estate license too. And my reasons were also a bit similar though I don't really want to leave software dev completely. The ideal situation for me would be to work on my own projects, while real estate business pays the bills. For years, I used to write code after work and that started to get very draining.

However, I haven't really started real estate business properly, and still have day job. Do you have any advice for software devs to transition to real estate?
Does anyone know if there is a *nix-based app that supports these synth plug-ins?
Free speech set minorities free and it is true that it was abused by some people. For instance the feminist movement was indeed influenced by people wanting to legalize pedophilia. To their credit, at least at some point they distanced themselves from these people.

And it is true that the pedophiles did indeed defend themselves with the argument of free speech. As did people from the Third Reich.

What is undeniably true though is that free speech empowers minorities in a way a "liberal in an inclusive city" could never do.

Don't think yourself as a savior if you hand power to penalize speech to large media conglomerates and social media companies. You are no liberal, no progressive. You are just more the conservative, orthodox counter culture to people that do actually have liberal policies.
someone should send this paper to him, he'd definitely like it
Most ebook formats support hyperlinks. EPUB is basically an enhanced version of HTML. I read a fair amount of ebooks, and DRM-free EPUB is my preferred format.

https://en.wikipedia.org/wiki/EPUB
Waterfall was a thing, it actually is a thing. It is a terrible thing. It is an idealized version of running a project that assumes you can actually plan everything out for the next 6-60 months with teams from 5-5000. I have only ever seen it work when the projects were small or the teams were experienced and working on a mature system.

"Work": I don't mean that the projects fail but that they fail in some aspect. Like they deliver late, or don't deliver the full requirements, or they don't deliver the real requirements (because the requirements were written 5 years ago by a consultant, this might be a total failure in many cases).

"agile" (not Big-A Agile the faddish cult) resolves a lot of this by one simple thing: frequent feedback between developers and customers while developing smaller increments. Which, ironically, was actually Royce's point in the paper: Feedback loops, not necessarily with the customer, need to be incorporated in order to develop large scale systems.

One of the issues in discussing this is that it turns out that when most people say "Waterfall" they mean a modified version. When you dig into what they're doing it's either a small modification (we bring the customer in during testing, which is good but that's still 4 years into the project) or a major modification (V-Model which incorporates all of Royce's feedback loops and then some). Others have gone to doing incremental & iterative development or evolutionary but still call it Waterfall because they don't know any other term.

But yes, Waterfall exists, it is a nightmare, and I hope to never be involved in it again.
The most direct way to monetisation I’ve seen in the community is writing a book or doing consulting. Maybe there are other ways that aren’t as visible to a casual observer.
"which is antithetical to software engineering where a new framework is out every day."

Hey! Objection!

I'm a software engineer and I have no need to keep up with random web frameworks popping up left and right. I'm fine writing my C++ and C#, thank you. I have to keep up to date but the stack evolves over a decade, not every quarter (or what ever the cadence is for web stuff).

Become an expert in a field and then it's irrelevant if you know framework xyz or not - it's no longer a critical requirment. It's critical you have domain knowledge, and what ever the tech stack is it's expected you can get up to speed in it just fine on the job.
i've found runnaroo to be super helpful with programming related results where i can actually find useful blog posts instead of those spam SEO low quality ones. awesome site. thanks
> and sharing with third-parties

It has a lot of rules with sharing with unrelated usage, whatever entity is using them (first or third party). On practice, that means they'll have to disclose every way they'll use the data, and get authorization for each one.

It doesn't restrict sharing it by itself, it's just that the third party will use the data, and thus will need your authorization.
Is that what "dataSource" does? (https://js.devexpress.com/Documentation/ApiReference/UI_Widg...)

I don't know DevExtreme and I have to admit that I find the API Reference a little overwhelming. If I can introduce more ways to communicate between back-end and front-end, I am all for it of course.

Do you think the websocket approach for grid/tables is a common one among web devs? A link to a specific code example would help me understand the approach better.

Thanks for your feedback!
I thought the overhang was going to be along the lines of the following, whether realistic or not:

-GPT-3, as is, should be the inner loop of a continuously running process which generates 1000s+ of ideas for "how to respond next" to any query, with a separate network on top of it as the filter which cherry-picks the best responses (as humans are already doing with the examples they are posting)

-Since GPT-3, as is, can already predict both sides of a conversation, it can steer a conversation toward a goal state just like AlphaGo does by evaluating 1000s+ of potential moves, lots of potential responses and counter-responses until it finds the best thing to say in order to get you to say what it "wants" you to say.

It seems ready to go as the initial attempt at the inner loop of both of these tasks (and more) without modification or retraining of the core network itself, no?
Types of Data Bias in Machine Learning
Your tech bubble mentality is leaking.

Passionate feelings aren’t solutions.

To date, Ethereum and IPFS have yet to provide value to regular people. The blockchain/DLT space is focused on financial infrastructure, and until scaling is solved (“6 months away”) it just isn’t relevant to a general audience.

Ethereum is nowhere near the brand that Bitcoin is. Bitcoin at least enables people to commit crimes.
I am fascinated when the #2 group pops up to say there is age discrimination in coding - when you dig into it, the problem is about skills and not age (although I cannot really speak to ageism in the tech sector).

Every other professional career requires you to stay up-to-date in your professional skills and knowledge to stay relevant in your field. Why would coding/tech in general be any different?
Lenny Bruce?
Can you just change the license terms on your next update to say, if your market cap reported in the FY is over threshold set by this license then you have to pay a flat fee of X.
Not everywhere is a high demand market. Brazil here. The job market really wants low paid workers that will work Saturday nights for peanuts. A lot of my older colleagues emigrate to have good technical jobs. Others become sellers or open a restaurant.
It might be worth the author noting that the reason this works is that the area that it's placed at the base of the neck changes perceived thermal strain. it is an ancient trick that when one holds an ice cube there it makes you feel temporarily cooler. The brain gets false information as to the surface temperature and makes slightly different cooling decisions.

So your body can get to higher temperatures whilst you have a longer period of tolerance of it. There is some question as to the safety of this for people who might not be of athletic ability etc. It likely will allow increased, often significantly, blood pressure. In older people this could be dangerous if that is the case.

https://link.springer.com/article/10.1007/s10072-020-04349-x
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3017491/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5968886/
How to Use Multiple Versions of Python Using Pyenv and Virtualenv
I am moving to my parents’ city for this exact reason. My wife and I are full time professionals, and we are failing at educating our children.
Coca-Cola is an outlier as it was affected by the sugar tax, and I’ve used post tax figures.
You are about two decades behind the times in your understanding of the renewable energy grid application situation.
Working with Python Sets