skysight-inc/HackerNews huggingface dataset:
I mean, the college math I had was: calc 1-3 and differential equations (4 classes total), and probability/statistics (1 class). I didn't have to take linear algebra, but I got a good enough understanding from calc and my algorithms class (we studied algos from a theoretical perspective with math, like the CLRS book, so we did some vector and matrix stuff).

Paul's Calc Notes are awesome for calc. But it seems like you have plenty of resources right now, so probably the best thing to do now is actually pick one at a time, and go through it.
TheTvBuzz is the world’s top rated independent information social media business, which leverages evidence and creativeness to connect with 100s of millions of people globally.
Our large cross-platform network consists of: TheTvBuzz Originals, which provides articles or blog posts, lists, quizzes, and video clips; TheTvBuzz Media Brands, which comprises a portfolio of identity-driven lifestyle brands comprising of Nifty, Goodful, As/Is, and Tasty, the world’s largest social food network; TheTvBuzz Studios, which delivers unique content across broadcast, cable, SVOD, film and digital platforms; and TheTvBuzz News, consisting of world-class reporting and investigative journalism. The enterprise also consists of ThtTvBuzz Commerce, which develops products and solutions and experiences, as well as licensing and other strategic partnerships.
We keep working an international news organization headquartered in Chicago and an entertainment studio situated in Los Angeles, with global offices in international locations all over the world. Our greatest work generates authentic audience engagement that fosters real-world impact, like Yanny vs. Laurel, Tasty, the popular exploding watermelon, award-winning research from TheTvBuzz News, and our main lists and quizzes.
visit https://thetvbuzz.com/
If it is that confusing for you, just go buy a Samsung or iPhone from your carrier.
Why does propagating human genetics to a different planet/solar system give human existence meaning?
Can you elaborate on this a bit more? My team uses Figma to do the UI/UX work, interactive prototype work, as well as receive and manage feedback via comments all from within Figma. Is the value proposition simply a better tool to receive and manage feedback than what Figma offers?
If this was reddit, I would reply how it is funny that you imply that you would not say that on hacker news, but you actually did indirectly
I'd say what mathematicians do is "think". We call the sort of thinking mathematicians do "mathematics". I get through quite a bit of grad stats in any given week and I'd say that what I'm not doing reading the computations of other mathematicians. I'm reading words in english, which try to explain concepts which are then sketched formulaically. I'm also reading proofs that are usually completed by a "mathematical" intuition and are very rarely if ever constructivist.

Maybe, that's just me busy thinking whilst the rest are busy computing :-)
I would like to see warnings on certain websites which use user retention tactics such as these to prominently display warnings like cigarette companies are required to do. Something like the following:

"Facebook is known to be addictive and use deceptive practices in user interface design to influence you into spending an unhealthy amount time on their platform in order to maximize the number of advertisements you view."
I thought about going back to film in order to get back into the hobby "cheaply", but quickly learned it was not going to be cheap at all and not worth the drawbacks even then. Prices are on the rise in all regards. Cameras and glass are "vintage" rather than just old, and priced accordingly. Film and processing costs are stupid high now, not on every corner like before, and not to mention the inability to process, learn, and deal with things easily at home like with digital. It's obviously supply and demand, but it's strange to have witnessed the extreme flip flop that occurred in the industry. As far as I know only Nikon (one model) and Leica (one model) are making non medium format film cameras anymore and they are both very expensive. I wonder what the next big leap/flip flop will be.
I have worked with someone who used to work at Wealthfront, and said that he had said to them “do not speak to me unless I speak to you.” They left within months of starting.
Facebook, like a true attention merchant, keeps pushing the envelop. It seems to me that we'll see more on privacy vs connecting the world for years, because that's where the two biggest tech business models, Apple/Netflix's and Google/Facebook's, clash.

I've put together some notes on The Attention Merchants, by Tim Wu, that specifically approaches this reality in a very interesting way. You can find them here: http://alvaroduran.com/attention-merchants

Any feedback is much appreciated!
The War on Terror
With 13K of memory[1] I doubt you could compare it to anything modern bigger than the simplest e-toy...

1: http://museum.ipsj.or.jp/en/heritage/facom128b.html
> “I am concerned overall that the Navy is under-equipped in key areas,” the Oklahoma Republican said in a statement.

if there was any - any doubt at all - that this machine feeds itself, this hilarious statement should remove all of it
Yes but the transition definitely doable and his advice is great. The key part of his advice is spending time experimenting, rapidly failing, and continuing to work on it with real world use case. Often the challenge is making the jump from the simple toy examples used in educational materials to the messiness of real-world data.

I'm a senior data scientist at vc-back startup. I'm in a hybrid data scientist/ machine learning engineering role, where I build and train ml and deep learning models and also build the scaffolding them to support their production usage. But my previous roles included being a business analyst, project manager, and research analyst. My undergrad education was in Creative Writing and the social sciences.

While I kind of accidentally transitioned into this career, how I got here is similar to most folks coming from a different background. Lot's of self-study and experimentation. I think one of the challenges to transitioning into ML and deep learning is that there are so many applications, domains, and input formats. It can be overwhelming to learn about vision, nlp, tabular, time-series and all other formats, applications and domains.

Things solidified for me when I found a space I found compelling and I was able to dive deep into it. You kind of learn the fundamentals along the way through experimentations and reflection. My pattern was pick up a model or architecture. Learn to apply it first to get familiar with it, experiment with different data, and then go back to build it from scratch to learn the fundamentals. That and I read a lot of papers related to problems I was interested in. After a while, I started developing intuitions around classes of problems and how to engage them (in DS you rarely ever solve the problem, there's always room to improve the model ...)
Probably roughly equivalent to the chip equipping your microwave, if it's not too recent. Except that your microwave chip is most probably faster and more reliable.
Thanks for sharing. I have been contemplating this as well.

I do have a degree in CS, did take a decent amount of math in college (vector calculus, linear algebra, discrete math), and aced all my courses. More than 10 years out of college I still retain a lot of what I learned.

I work in AI and get paid well. But that said, I wish I had a graduate degree. And the most useful subject would be math I feel.

You see, like many others I didn't find that learning a lot of math would be useful. Yes, I was aware of its uses in 3d graphics and even learned about quaternions in college. But beyond that I was ignorant of how useful it would be for analyzing data. And I really tired of having to do proofs in college, so I didn't want to have anymore to do with something so difficult and unapplied.

Unfortunately I have found that you need the math background to work on what would be more interesting problems to me. And recently there are a lot more of these problems where math is important because of the AI wave. I am in my 30s and I'm thinking it is too late. But I am still considering going for an Applied Math Masters offered online by UW. See here for anyone who may be interested.

https://www.appliedmathonline.uw.edu/academic-experience/cou...
The author is listing facts about Mars that are pretty basic and well-known in the first two paragraphs and proceeds to talk in generalized terms about how we will never get around these obstacles. These are all basic facts about Mars that the engineers working on these problems know very well. Simply listing these facts as proof that colonizing Mars will never work seems overly pessimistic.
FWIW, I am much less likely to procrastinate on an update if I know it fixes a vulnerability.
I think "doing" ML math is a little different than "doing" math math.

With math, on paper say, it is hard to tell if you are doing it right or wrong. You can trick yourself quite easily. A compelling proof can have a huge hole.

You can still trick yourself programming -- in a sense, that is what a bug is -- but it is much harder.

The upshot is, I think it is easier to teach yourself math that is applied to a computer program than math on a piece of paper.
That's completely inaccurate.

1. Every vote further secures the blockchain voting process. The only way to overcome this is with a 51% attack, so every vote cast further ensures the validity of the entire chain.

2. The chain can be public and anonymous, which gives every voter a verifiable way of understanding their vote. They can look and ensure that their vote was cast exactly as they intended, but it also allows administrators a way to review the votes.

The core part that the article got wrong was that county administrators have a definite way of pre-tabulating as well as tabulating votes.
Just put a lightning link into your AR style rifle, and voilà, you have a full auto gun.
We tried and used Webflow extensively in our company for about 2 years. It was great for most tasks and we could get up and running fairly quickly. Sadly our UI dev team never fell in love with it and slowly but surely Webflow faded to the background. I noticed our subscription had run out a couple of months ago and nobody had since complained. Brilliant piece of software, however if you are someone who operates on the code level, never quite good enough.
The dark meaning it conveys depends on who interprets it. It didn't even cross my mind.
Tech needs to fight. There are tons of new regulations being pushed to regulate tech with politics. It's going to end very badly. This is not about caring for people, but controlling tech. People care about high hospital bills, expensive insurance and high college costs. Why are these same politicians not writing new bills to fix those? Why do they want to tame Netflix, Youtube, Facebook, Google, Amazon?
Well for fact, humans shouldn't colonize any other planet until they clean up this one damn it..
Yep. I've used Adobe products (Photoshop, Illustrator, InDesign, After Effects, Premiere), Sketch, old Macromedia products (Flash, Fireworks, Shockwave) I know how to use a number of different IDE's, and yet when I opened Blender, I had to watch a tutorial on how to do even super simple basic operations.
I've heard Pixar uses RenderMan extensively, which I think uses Linux as its primary platform.
All modern dependency management tools solve this problem by allowing dependencies to be specified as URI's.
I am not an expert. But it seems less likely since the Neanderthals existed for a shorter timespan over shorter distances then modern humans, so they must have encountered fewer hominin along their way.

If anything it is more likely that the deninsovans aquired genes from the decedents of the groups of Homo Erectus that migrated throughout south east asia and quite probably remained in small quantities in remote areas (like Homo Floresiensis did) when the denisovans arrived.

---

Edit: Then it is the question of: Say that the Denisovans acquired genes from other hominin through interbreeding, would these genes then be passed on to us when our homo sapien ancestors interbreed with the Denisovans? That is a question I have no confidence in answering and should probably be deferred to geneticist or a genetic statistician.
If people just want auto upload to instagram, they'll use a phone. The advantage of a proper mirrorless/DSLR is the insane power you get with RAW file editing in post.
This is very similar to https://smmry.com/

Enjoy
Unfortunately when you do press, you're at the mercy of whatever gets quoted and sometimes things that are kinda irrelevant get picked up. That's definitely not the thing we wanted as the lead. Our blog post on it was different: https://medium.com/darklang/dark-announces-3-5m-in-seed-fina...
Same in german - greetings to Sweden! :)

Also the name of Germany's biggest tabloid, which is a pitty, though...
Yeah, I agree that part is frustrating - it's very difficult to stay on top of current best practices, especially when even experts (and many "experts") disagree on best practices.

The "Nothing ever gets replaced" problem is a direct consequence of the committee's focus on backwards compatibility. That compatibility has been absolutely crucial for the language's continued success. Backwards-incompatible changes would result in even more divergence between the C++ dialect supported by various compilers and compiler versions, and would probably result in an even worse version of the problems that occurred in the Python 2->3 transition.

In my experience, the the ABSL "Tip of the Week" posts[1] are a great source for "best practice" info, but they aren't exhaustive, and some are specific to the ABSL libraries, rather than general C++.

[1] https://abseil.io/tips/
Webflow was definitely a gamechanger in terms of All-in-one CMS. It lacks a thousand features, but the core value of the product is just too good: Creating new pages in a few minutes (with reusing lots of components), hand it over to the content team, you're done...
Mathematics hasn’t been “computation” since the days of hand-tabulated lists of logarithms.
This is the Voatz blog response to the slate story. It's where I got the above quote from.

https://blog.voatz.com/?p=997
Z6/7 does this with ease. Also, it has a touchscreen and can edit files on the camera but I don't know of anyone who bothers.
They didn’t “remove” content. It was taken from them by the owners.
As much as I like hemp, this seems implausible. Trees sequester carbon for longer (as wood). If I was looking for a quicker alternative I'd plant bamboo (which also 'grows like a weed').
You can also do this in Ruby, though the scope is different.
A specific scenario to optimize for.

The A10 was designed to swiss cheese just enough Russian tanks and to buy the time for C5s (designed to transport main battle tanks) full of M1s (meant to kill Russian tanks) to make it to France before the Russians could steamroll Germany.

The F117 was designed to slip past and strike infiltrate Russian air defense systems so our bombers could make it to the target.

All the weapons systems of the cold war era were built to fight a specific peer adversary first and needed to fit into that portfolio. Capability to handle other tasks was pursued (especially during and after Vietnam) but at the end of the day systems had to be able to fit into a strategy in which we fight the Russians or if not they had to have some other specific and narrowly tailored purpose (e.g. AC130).

Right now the armed forces are in this weird state where they have to be able to handle anything from some rowdy poppy farmers to WW3 in no particular order of priority and that manifests itself as poorly thought out feature bloat.
People forget "con" is short for "confidence trick."
Yes, vacuum has no temperature.

The energy of any radiation that may be going through a vacuum at a given instant is not a property of the vacuum (and is not an actual temperature).

I'll leave it here as I think I have repeated the same thing enough though I am not sure it has been heard.
So similar in principle to FUSE, but applied more broadly? Seems like a neat idea.
The only thing the US Navy is under-equipped for is something along the scale of the aliens from Battleship.

And just as likely to actually occur.
As much as I normally hate it when people cry about "nanny state" laws, I really feel this is a nanny state law.

And it won't do anything. The people that are addicted to social media are just going to keep clicking "Next page" over and over. If anything, it'll make it worse, because each click is a skinner box on whether or not you'll see something fun and exciting.
Not only that, it was the same github profile that contained her resume!
I have been using Common Lisp since 1982 - a lot of history!

There is a chance that I might switch over some day. I also like how easy it is to call out to other languages with Julia. Also, the occasional long load times because of the LLVM stuff does not bother me.
I don't know who here is actively using or developing on the platform with that machine. If we had one here I'd be surprised. All that quote shows is that they are investing in Metal for Hydra so that other platform DCCs don't have to limit macOS usage for their integrations. Apple support wouldn't have any impact on our productions.

It is true that we have Mac systems here, that's no secret. But all 'real' film production work is completely Linux based with a completely custom infrastructure.

Source: Currently at Pixar
Exactly. You have the same problem in a monorepo since the problem is validating a change actually works without breaking an unknown number of other things indirectly.

There is a little bit of a novel problem in correlating N feature branches and cloning them, but it's not that much more complicated than correlating N subprojects in a monorepo.
I studied maths and computer science at university for precisely this reason - I heard many programmers say they wish they knew more mathematics. Honestly there have been very very few times where my knowledge of mathematics has directly helped me with coding, possibly even none.

Unless you continue to study mathematics, which you will likely only do if you stay in academia, you will forget what you've learned! It boggles my mind to think that I used to know advanced calculus, group theory, linear algebra etc. I have forgotten all of it bar the very basic concepts behind them.

That said where it has helped me is in logical thinking - stuff like abstractions as the article describes. Writing mathematical proofs requires logical precision which is very helpful when programming. If you spend enough time studying mathematics then eventually some of the core concepts will sink in and it will help in thinking of solution. Though I would not advise that you study it with the aim of thinking "How can I use this knowledge in programming" - its not directly applicable unless you are doing graphics programming, AI, data science etc.
Once you are done thinking your thought() function returns a result in the form of language, no?

Or does thought() fail to halt?
>One of the worst interview questions I have had was "Rate your C++ knowledge from 1 - 10".

>One of the interviewers was obviously unhappy with the answer, and was unpleasant the rest of the interview. I have always wondered what they expected from such an vague question.

I knew enough of C++ to know my knowledge on the subject is approximately close to Zero.

Basically no one on earth knows C++, they mostly know a subset of it.

*C++ here referring to Modern C++, Pre 2000 era C++ was still manageable.

Edit: On that thought it seems to me every PL in 90s were all manageable. Somewhere along the line things got ugly.
Numerous other reasons explain Lisp's failure to take flight. Nobody agrees on which exactly they are, only that there are plenty of them.
On an update in particular? Or on the set of updates being applied to your system at a given time, if one of them fixes a vulnerability? (Do you filter out the ones that don't?)

And wouldn't a vulnerability still be there even if there wasn't e.g. a PoC disclosed? I'm not really sure how that affects what I'm saying.
C++ (and C) have a fairly odd characteristic in that it is really hard to definitively figure out what is an identifier.

It's one of the reasons C++ takes so long to compile.

It's why the "modern" languages all seem to be converging on having an explicit token that signals "This thing is an identifier : this thing is a declaration".
Here is a slow scan TV signal I picked up from the ISS one day when I was farting around with nothing better else to do.

https://streamable.com/q9oa0
pr_pack( buf, cc, from )
char *buf;
int cc;
struct sockaddr_in *from;
{

I know this ship has sailed, but after reading through the code you linked to, I finally understand the merit to this old-style C function definition syntax, and actually think it might look nicer than the modern way of doing the same thing for longer parameter lists:

pr_pack( char *buf,
int cc,
struct sockaddr_in *from )
{

It reminds me of how in TypeScript, if a function gets too many arguments, I'll split them out into an interface, and use destructuring to get to each element in the actual parameter list for convenience.
Here's a comparison between a RPi Zero and a 1957 Elliott 405 (from the UK): https://www.spinellis.gr/blog/20151129/

On a simple clock comparison, it was about a million times slower than a Raspberry Pi Zero. Computing has come a LONG way
Yeah, I bought an extra one when they discounted them to near nothing after they announced they were discontinuing them. It's nice to be able to play games on my bedroom TV when I'm going to bed :)
Can someone suggest a library for doing what is done at 59 seconds ?

https://youtu.be/14UwLG1jQwU?t=59

I am looking for a library that lets me highlight a line of code and then comment on it. Similar to gerrit or other code review tools, but for my side project.
I think I need an opengl 1.3 laptop now
Yeah, that part is confusing. Since I posted the above a few more details came out, but it seems like the WAF may have been involved because it wasn't configured to block requests to the IAM instance metadata endpoint, which would have allowed the attacker to operate in the scope of the instance, which seems to have had the S3 permissions. But again, entirely conjecture on my part at this point.
'wealth work' == servants
>but if they're unable to, using ARM Zen from AMD makes a million times more sense than x86 Intel.

How do you figure? Transitioning from x86 to ARM would be a major, expensive undertaking. If it's justified at all it would mainly be by Apple gaining control over that part of their stack. I doubt they would make such an effort and investment only to switch from the current third party, Intel, to a different third party, AMD.

But otherwise yes they're really not likely to make the transition at all. Given how small a proportion of their overall sales Mac sales are, they're most likely to just leave it on x86 indefinitely.
Prenda Law had a similar scam going here in the US, but used BitTorrent instead of RedTube.

https://en.wikipedia.org/wiki/Prenda_Law
Not exactly, you are talking about design feedback while this is leaving and managing feedback on the in progress implementation itself, while the developers pull requests is open. It's the phase after prototyping and design handoff, when the engineer needs to make sure it's implemented correctly
Its only a false simplicity if you still need to track the interaction between everything and everything else.

When you break up a problem the goal is to find clear bottlenecks of complexity such that you can abstract a thing to its inputs and outputs and ignore the complexity within. You reduce the amount of knowledge required from any given perspective, thus reducing peak cognitive load.

Sure the system is as or possibly slightly more complex, but there is a distinct advantage to reducing the peak complexity of any given sub-problem.