skysight-inc/HackerNews huggingface dataset:
Prompt engineering: https://en.wikipedia.org/wiki/Prompt_engineering

/? inurl:awesome prompt engineering "llm" site:github.com https://www.google.com/search?q=inurl%3Aawesome+prompt+engin...

XAI: Explainable Artificial Intelligence & epistomology
https://en.wikipedia.org/wiki/Explainable_artificial_intelli... :

> Explainable AI (XAI), or Interpretable AI, or Explainable Machine Learning (XML), [1] is artificial intelligence (AI) in which humans can understand the decisions or predictions made by the AI. [2] It contrasts with the "black box" concept in machine learning where even its designers cannot explain why an AI arrived at a specific decision. [3][4] By refining the mental models of users of AI-powered systems and dismantling their misconceptions, XAI promises to help users perform more effectively. [5] XAI may be an implementation of the social _ right to explanation _. [6] XAI is relevant even if there is no legal right or regulatory requirement. For example, XAI can improve the user experience of a product or service by helping end users trust that the AI is making good decisions. This way the aim of XAI is to explain what has been done, what is done right now, what will be done next and unveil the information the actions are based on. [7] These characteristics make it possible (i) to confirm existing knowledge (ii) to challenge existing knowledge and (iii) to generate new assumptions. [8]

Right to explanation: https://en.wikipedia.org/wiki/Right_to_explanation

(Edit; all human)

/? awesome "explainable ai"
https://www.google.com/search?q=awesome+%22explainable+ai%22

- (Many other great resources)

- https://github.com/neomatrix369/awesome-ai-ml-dl/blob/master... :

> Post model-creation analysis, ML interpretation/explainability

/? awesome "explainable ai" "XAI"
https://www.google.com/search?q=awesome+%22explainable+ai%22...
Transcript: https://www.nytimes.com/2023/01/06/podcasts/transcript-ezra-...
For people who find this interesting I would highly recommend the book Emerald Mile [0]. Amazingly well written book about glen canyon, grand canyon, lake powell, glen canyon dam, dorys people, racing boats down the canyon and a near catastrophe in the dam building.

Also lets not forget the classic Desert Solitaire [1]. It too is well written and very interesting, in the book they take small inflatable boats and just float down Glen Canyon not long before it gets flooded.

[0] https://www.goodreads.com/book/show/15803144-the-emerald-mil...

[1] https://en.wikipedia.org/wiki/Desert_Solitaire
Cues to Use While Listening
These seem to work pretty well. I'm doing a similar kind of summarization based with https://infobot.ai and wondering how you guys do it? Is it just GPT-3 or more complex than that?
I basically wear zero visible labels on my clothes because why would I wear advertising? I own a t-shirt with 747 on it and a picture. It's one of the great pieces of human engineering. Many of us, even those who have never had anything to do with it beyond seeing one in the sky and occasionally riding on one love it like any other great work of creation.

There would be people who think like that who joined boeing in the past couple of years...
Thank you. I was just commenting pretty much the same.
Moonraker is one of the only movies to properly depict a Shuttle launch, and it came out before the Shuttle ever flew.

https://www.youtube.com/watch?v=nH3EsUTPihg
Scribble (Racket documentation language) uses a very interesting @-syntax that is very similar to m-expressions. '@func[x y]{some text}\ -> '(func x y "some text")'.
It almost feels like length of ownership should be more determinative of price movements than anything else.

>> Length of ownership AND relatedly original cost basis. I think a lot of stocks can seem to defy gravity (i.e. high PE and/or high P/FCF) when the founder and the early investors HODL stocks. At $0.0001 per share, HODLing (in say TSLA, META, MSFT, BTC) is easy since there is/was no upfront capital paid in and holding has essentially no cost basis - so there's no need to act like rationally like a later stage investor.

>> Founders and early investors can easily own up to 30-50% of the company and really its only when the founder retires/starts diversifying and the founder and early investors start to unload - does price discovery occur on the entirety of the shares outstanding.[1][2][3]

[1] Mark Zuckerberg Sold Facebook Stock Nearly Every Weekday Last Year For Almost 11 Months https://www.forbes.com/sites/rachelsandler/2022/01/06/mark-z...

[2] https://techcrunch.com/2013/02/15/zuckerberg-now-owns-29-3-p...

[2] Amazon founder Jeff Bezos decreased his stake to 24% from 42% in the first nine years after IPO.
I am not a EE, but that's a 12 bit ADC, so if you aren't using the receive equalization feature, aren't you limited to about 72dB just due to quantization?
How does the seed value get created randomly? I presume it doesn't use the same global random number generator, since that would still make it deterministic?
It's also probably the same reasons the casinos are using them to.

Verifying who is there, why they're there there, CYA for when they screw up, and probably looking for reasons to remove you.
Trigger.dev looks like it would be amazing if you want a simplified temporal that is still 100% code based and exclusively in Typescript. If you are looking for a Zapier-for-developer experience, we took an alternative route at Windmill of allowing Python/Javascript/Go/Bash as steps but the workflows are still GUI based: https://github.com/windmill-labs/windmill/blob/main/imgs/win...

Despite them being GUI based, you can do everything that temporal enable, approval steps/suspending workflows until being reactivated by a webhook, branching, etc, etc... It's 100% open-source and self-hostable.
The example in previous versions of the Go math/rand package suggested using time.Now().UnixNano() to seed the RNG source since that's essentially a random int64.
Microsoft shows full-screen Windows 11 upgrade ads with two 'yes' buttons
We used to use pgtap extensively, but ended up removing it in favour of testing queries as part our regular nodejs application tests, via a db client - the ergomonics of the test tooling is far better, and I don't think we really lost anything.
I see, very interesting, thanks.
Yes! I liked the original C because of that. So did Linus: https://www.youtube.com/watch?v=CYvJPra7Ebk

I remember this great talk Growing a Language by Guy Steele, totally on point, about Java... I liked Java: https://www.youtube.com/watch?v=_ahvzDzKdB0

I even liked the original C++ when it came out, and used it (although needing to do >> > was a bit silly). But then it jumped the shark with C++0x and thereafter. Concepts. Lamdas. Time travel. Quantum mechanics. Even Bjarne Stroustrup quit and is like "whaaa"

In this interview with Dennis Ritchie, James Gosling, Bjarne Stourstrup, the latter is the most verbose. And it shows in the C++ features hehe.

When everyone knows the 10 features the language has, teams can work together without a language lawyer and tricky "look ma no hands" code

This is what makes games like Chess great, as opposed to, say, Yu Gi Oh: https://www.youtube.com/watch?v=Wr13DYngSqE&t=4m30s
Egan's Quarantine also has exactly this, though it's not part of the plot.
We already have less powerful languages, like C. The results are underwhelming. We need powerful languages with the power harnessed and thus safer to use.

It's like saying that we only need chisels and knives instead of power tools. I'd say we need power tools with proper safety features, and thoughtfully built to make them efficient to use.

The particular case of Python is exactly about the lack of harnessing. The same reasons would apply to Perl even more, and equally to Smalltalk or Ruby, etc; cleanliness of the design is not the point. Any of these languages is basically play-doh. You can build anything from it. It will not be very strong, and it's a bit hard to make it into a precise shape. But it's supremely easy to quickly prototype anything in such a language. When you don' have a clear plan, constantly experiment in a REPL, and keep reworking your design several times a week, nothing beats a highly pliable, highly dynamic language like Python.

Then, of course, you have to ship it, and can't afford rewriting it.

There are hyper-powerful languages like C++ and Rust. They are much harder to wield, and C++ famously does away with many safety features for the sake of ultimate flexibility, while Rust goes to great lengths to ensure safety and efficiency at the same time. Rapid prototyping in them is not easy even for top experts.

There are relatively fine middle-ground languages, to my mind: say, Kotlin (or even plain modern Java), or Ocaml (maybe using the Reason syntax), and even Typescript where you can increase strictness gradually while allowing areas in the codebase still in magma state.

But Python, due to its very friendly and human-readabale syntax, won a lot of mindshare by being easy for a beginner, and also by having a nice set of very important libraries (many not written in Python). So we'll see a lot of software that could benefit from being written in a less play-doh-like language, but were started in Python, and will not be rewritten.

Python specifically tries to grow some safety / stability harness, in the form of optional typing and mypy, protocols, etc. It's better than nothing, but it's still far from allowing to write bulletproof code effortlessly.
I think this is more about interfaces than algorithms. A good cryptographic RNG interface will generally not expose the ability to explicitly set the seed for a given algorithm. Instead it would either abstract this entirely away, or provide some kind of interface for adding entropy to an entropy pool. The PRNGs themselves obviously do need to have seeds...
That's not a good regex. The cat part is harder than the dog part.

you regex will match the whole line up to cat.
The categorical error is that none of it was a "come from", rather it was a "passing through". The sites were all popular waystations, but none of them owned the creativity of their users, they just happened to host the party, and once the party died down something new came up and the same users moved on to that thing. Thus the large number of Twitter users who will post things starting like "in my 4chan days" "in my SA days".
My friend notes that the logo covers Grand County Int’l Airport, containing the 2nd-longest runway in the US, where JAL and FedEx both have 747 pilot training facilities.
> This will certainly require a lot of reworking of these traditional curriculums that consist heavily of asking the student to generate bullshit, but maybe that wasn't the best way to educate students this whole time.

Just curious which discipline you have a grudge against here. Because presumably disciplines are actually disciplines where someone working in the field for their entire career can spot BS.
If you don't think there is any correlation between the material conditions of people and crime I don't know what to tell you. You're basically subscribing to essentialism. There are plenty of cranks with ivy league degrees in economics.

edit: You are cherry picking your data points. I spent literally 30 seconds looking up your first quote it's not even congruent with what you're saying.
All those models are only as good as the data they’re trained on. Google and Meta both have the most relevant proprietary data that cannot be rivaled. Not even close.
> you can update the definition of a class in a running system and update all existing instances of that class

Like this?

>>> class MyClass:
... attr = 0
...
>>> my_object = MyClass()
>>> MyClass.attr = 42
>>> my_object.attr
42
>>> MyClass.method = lambda self: self.attr
>>> my_object.method()
42

> When an error occurs you can inspect local variables in any of the stack frames and execute commands in them

What is the difference with https://lukeplant.me.uk/blog/posts/pythons-disappointing-sup... ?
These don’t seem to be equivalent comparisons when you start using different ways of running the applications and whatnot. On one hand this compares uvicorn running an ASGI FastAPI app and another tests a raw script running a server it seems. I need to do some research on aiohttp’s server to speak definitively but as written, I don’t trust these results.
As they should be. No sense in fragmenting questions just because the best answer may have changed.
Don't take my word for it: WordPress treated FLoC as a security concern in 2021: https://make.wordpress.org/core/2021/04/18/proposal-treat-fl...

A good overview of the context: https://digiday.com/media/we-cant-un-floc-ourselves-googles-...

More detail: https://www.eff.org/deeplinks/2021/03/googles-floc-terrible-...

When it comes to Topics, it's essential that there be hands on the wheel at W3C that approach the solidification of e.g. the Topics taxonomy https://github.com/patcg-individual-drafts/topics/blob/main/... from a neutral perspective that takes into account the various ways in which proposed topics could be dangerous, and how strongly to word the specification to prevent it from creeping in increasingly privacy-eroding ways in the future.
It wasn't just the students. I think if the attitude of the teachers were different I might still have wanted to be one. Safety was important and teachers were cautious.

Were you shown the hour(s) of exercises they had to do daily to maintain their muscle? That was enough to make most kids say no thanks if chosen lol.
> It seems that he doesn't understand that he needs to scale revenue upwards

This is exactly the kind of attack that I find so...interesting.

You think Elon Musk, of PayPal, SpaceX, Tesla, and many more, doesn't know that a business has to make money?

> someone who at least understands that "LESS PROFIT BAD, MORE PROFIT GOOD, ME NOT PISS OFF IMPORTANT CUSTOMER."

Yeah, you really believe it. You even said it like a caveman to illustrate how fundamentally simple the concept is, but you still have the opinion that the richest man on the planet who has founded many successful companies doesn't understand caveman logic.

It's baffling.

Here's one totally made up scenario that can explain it: Elon Musk buys twitter, has his lackeys run a financial analysis, and they decided they need to do XYZ things to make it profitable, which will harm short-term revenues to the tune of higher long-term revenues.

I made that up just now, believe it or not. You can try it too. You can invent many more plausible situations than "Elon Musk is dumber than a caveman." You're not inside Twitter, or inside Musk's brain, to have any idea why he's doing what he's doing. But "RICH GUY DUMB, ME SMARTER!" is the conclusion, I guess.
Also many Git web front-ends support formatting some dialect of Markdown documents.
That's a ridiculous forecast.
kind of interesting

covid happened, money was printed to replace lost wages but somehow it trickled up

plus people couldn't leave their house so tech companies saw booms in sales/revenue

so then inflation happened to the tune of 8% and the narrative was "if you didn't get at least an 8% raise 2019 -> 2020 -> 2021 each year you basically got a paycut"

and now we're seeing layoffs that basically feel like a reaction/counterbalance to any inflation rasies (or hires) that were given/made

"if a tree falls in the woods and nobody is around to hear it"

"if you get an inflation-sized big raise but then get laid off, did you really get a raise at all?"
Only if the customer wants to pay extra for the stunt
It's more amazing to me someone could write this comment in ernest.

Banning users for mentioning a competitor, banning ElonJet after specifically saying he wouldn't, banning journalists for covering it, not paying rent and custodial staff, rushed layoffs and ended up having to rehire people, firing people if they wouldn't agree to unpaid overtime in 24 hours notice, firing people for speaking poorly of the aforementioned mess, starting a half-baked verified program that allowed people to successfully impersonate multi billion dollar corporations, violating labor laws during the firings, purging Twitter's compliance team causing them to fall afoul of FTC regulations

That's the tip of the iceberg that you're labeling as "a few changes", and it is utterly hilarious that people's reaction to Elon is what you're saying is wild in terms of how quickly it happened... and not the bedlam Elon unleashed upon Twitter in the exact same amount of time
Just because you don’t like your manager(s) doesn’t mean we’re all bad :)
Thanks, this is great feedback. You're right that these examples don't highlight the real advantage of our platform vs no-code tools. We're going to add some new examples to our site based on what our customers are building.

The three categories of problems you identified that are best solved with a code tool are what we're seeing with our early customers. Plus a lot of notification use cases like when developers want to be notified in Slack when something important/bad happens.
Do you think Metaverse ad revenue will not cannibalize social media revenue, as people shift their attention from one to the other?

Or that Metaverse attention will somehow be 100x as valuable as social media attention (current global social media revenue is $200ishbn)?
Overnight? Sentiment has been largely changing, for my own circle around the pedo comments, but for others much sooner.

It's amazing to me that people seem to be influenced by such a small group of people, and people just follow along!
I care about privacy and find switching to DuckDuckGo to be annoying! As the one also trying to take care of privacy concerns in my home, I try to go for the lowest-friction options: Adblockers, paid Google accounts which have history tracking turned off and aren't supposed to be monetized, trying to be Apple-product exclusive, keeping social media accounts private, etc. I'm not going to win any further compromises and am content with these good-enough solves.
How are you calculating the 2 years of runway?

Last I heard they have $1B in cash on hand and are doing roughly $3B/year in revenue. Musk has reportedly gotten their annual expenses down to $3B with another $1.5B in annual debt servicing costs.

By my math that's less than a year of runway.
I think there is a relatively unique thing about programming that makes them/us believe we know more than we do (not unique to programming, but not every job does this). The thing is we often are a jack of all trades types and work with a large range of domains. This gives us insight into those domains but does not make us experts. That insight can trick us into thinking we understand the domain, but expertise comes from understanding nuance and having an intimate understanding of the vernacular. Programmers are often the middle part of that gaussian meme[0]. Enough knowledge to think you understand a subject but not enough knowledge to really know it. It happens because we're human.

[0]https://i.imgflip.com/5gfpyc.jpg
> Can you name many humans who aren't jerkoffs with dangerous opinions?

Yes, plenty. Most people I know aren't jerkoffs with dangerous opinions.

The problem with Musk isn't that he's wealthy. The problem with Musk is his behavior.
What are examples of that rate of progress? Are you talking about ChatGPT itself or the field?
This is a mischaracterization. 4chan was founded as a new place for Something Awful anime fans to post hentai and "loli" content after SA banned such things. It was always about contraband and bad-taste culture. The "dirtbag free speech" crowd flocked to it because of the side-effect of that initial culture being anti-moderation and being allowed to post whatever they wanted.
Oh definitely, we are not disagreeing.

I have two rules personally - don't invest in highly speculative assets, don't invest short term.

So I am out of $META in general, as it fails the test on both prongs for me. It is highly volatile at the moment, and if I think 10 years into the future, the only reason I can think of for them being around is "network effects". Compared to something like $NVDA, that is just a weak argument in my opinion.
I don't.

I asked it a solution to a problem using Flask and it gave me a partially working and an incredibly naive solution. I went to Google and found a few naive solutions each with discussions about why they will not work in certain cases. I spotted a blog by a trusted expert, and found the answer I wanted. GPT was convinced, however, that is naive solution was fine.
I’d agree that someone in a lead role must have more collaborative time but I think IRL collaborative time needed is still significantly less than imagined by the ‘remote work is bad’ crowd.

In my opinion IRL is more needed for negotiation, handling uncertainty, new team formation, business development, etc.
I’m interested to know what changes are planned for Form elements!
We know factually exactly what "Apple organized for innovation" looks like - it's Apple with a brilliant innovator dictator running the show. What portion of Apple's budget is being spent searching for the next Jobs?
I for one rue this commandeering of the word "engineering". No, most activities involving stuff are not "engineering". Especially flailing weakly from a distance at an impenetrable tangle of statistical correlations. What a disservice we are doing ourselves.
Flexibits | Windows Software Engineer | Remote | Full-time https://flexibits.com/jobs

We make Fantastical and Cardhop, award-winning calendar and contacts apps for Mac and iOS. We are a 20 person, fully-remote company spread across the US and Europe, and welcome anyone from around the world. We prefer candidates that are in time zones between US Pacific Time and Central European Time.

Tech stack: Objective-C, AppKit, UIKit, Swift, SwiftUI, C, C++, C#, WinUI.

---

Software Engineer (Windows)

We're looking for an enthusiastic and experienced Windows developer to help bring the joy of Flexibits apps to Windows. This will include learning the ins and outs of Fantastical and Cardhop on macOS and iOS and bringing their magic to Windows, all the way from the natural language parser to the beautiful user interface.

---

Software Engineer (Mac & iOS)

We’re a small company, so you’ll be on the front lines creating apps that real people use every day. You'll be adding new features to Fantastical and Cardhop, as well as hunting for bugs and helping to keep everything running smoothly for our users. Areas you'll be working on include UI/UX development, databases, networking (including CalDAV, Exchange Web Services, and other APIs), and more – across macOS, iOS, and watchOS.
https://web.archive.org/web/20140323232018/https://www.guttm...
This is a fantastic idea. Silly question but do you send it via email or snail mail?
Edgy because the status quo was so defined. The status quo is loosening up, so edges aren't so apparent. I'm in my 40s and my high school experience in the 90s sounds nothing like what I hear about today. We had well defined cliques. Today, except where bullying exists, it sounds like people aren't so hive minded but individuals and just float around various friend groups.

This may be unpopular topic, but I actually think having a non-traditional sexuality/gender is the new 'edgy'. I know that implies it's just a trend/fad and not a reality for some individuals. It seems to have increased in such a massive relative basis that I can't help but think it actually is a trend versus following some natural occurrence. Or perhaps, given significant hindsight I could see that the definitions around these things is just undergoing an accelerating foundational shift. We know ancient societies had massively different ideas for what was and wasn't normal. Hell, very recently ago our own society had very different norms for age of consent and age of "child".

Sorry if any of this is or sounds offensive, I look at it from a statistical mindset and what baseline seems to have existed. It's totally possible that societies around the world have used religion and such to suppress the baseline and it's starting to naturally come back - I wouldn't be able to observe things like that.