skysight-inc/HackerNews huggingface dataset:
> Physicists don't have any imagination to break past certain assumptions (e.g wave function collapse is random)

This is not quite fair, after all Wolfram himself have worked as a physicist.

What physicists do not do, is they do not usually talk much about ideas for which they had not found any mathematical model or any analogy with existing theories.

Wolframs idea is very enticing, especially if you like the idea of digital physics and want to get rid of real numbers in the theory. But unfortunately it is very hard to get some working mathematical model from it.
She's painting with a broad brush. Neutrino mass is a problem that does require a solution, but as far as I know, a lot of theoretical particle physicists are trying to find solutions to that problem.
Learning group in the abstract, followed quickly by many examples of groups, is in my own opinion the best way to learn about groups. But this isn't quite general -> specific, this is general -> example, example, example.

I think this is where a lot of the Haskell explanations fall down, since they start with (definition of functor) -> example, example, example; then go into (definition of natural transformation) -> (no examples), and the problems multiply from there.
Since taking a new developer job about a year ago I made a commitment to not sign into my work email on my phone and it's been great.

But yeah, what the other commenter said. Just do it!
Another dumb question: If Amyloid beta is a prion, why is it so common for Alzheimer's to occur only later in life, while teenagers can suffer from BSE? Does it have a longer incubation period?
If you're in the U.S., and are interested in the licensing issue, this is probably the page you want: https://www.nesdis.noaa.gov/CRSRA/licenseHome.html

It is indeed an issue, but a surmountable one.
Linux is also the only platform that a lot of people love, but has almost no hardware where it is officially supported (at least for desktops and laptops)!!!!
Planet Money did a series about going to space. https://www.npr.org/sections/money/2017/12/01/567267573/plan...

They went over the history and changing economics of CubeSats.
> I’ve never seen anyone obese from drinking too much fruit juice alone.

You have whether you realized it or not. Fruit juice has just as much sugar as soda and none of the fiber from fruit that decreases your absorption. There are millions of people going to the gym and trying not to eat onion rings when the orange juice (or cranberry, or coconut water, etc.) they drink is what is actually keeping them fat.
No if it goes against Linux standards. That's just accepting the lowest common denominator quality driver. If AMD an do a better job with AMDGPU, so can their much larger competitor.
I am a bit ignorant on the topic, but is swift available for Windows/Ubuntu? Most of the deep learning scientists I know and work with use either of the two setups. I know there technically exists CUDA GPU support for Apple, but I have frankly never even attempted to mess with it.
Awareness that fruit is not a pure health food is good. "Equivalent of candy bars" may be overstating the case. Raw fruit at least delivers its sugars in a matrix of fibers which change the absorption profile, induce satiety, and even provides a natural limit on how much you can consume, among other benefits.

There are sometimes better choices than an apple, but an apple is definitely better than a candy bar (or most breakfast cereals, granola bars, etc).
What are vector tiles and why you should care
I don't have an answer for you but I recommend that you pick an area you are interested in and develop a bootstrap business there. Once you understand your opportunities then you can get a better view of what you need to move forward. You need to crawl before you run.

The advantage you have is that you are not afraid to learn. Reading relevant books and dedication is what will move you forward. Also, make sure you don't try to do it all yourself, strengthen your weaknesses. You're smart but no one knows everything. Hubris will always be your downfall.
I agree with you regarding lack of Windows support, however I would rather see Julia as a better alternative than Rust, given the language ergonomics.
It's interesting how it's going to play out. On one hand side, Swift is a pleasant language to work with (despite its infancy). But on the other, having a Tensorflow API doesn't suddenly give it a bunch of libraries for statistics, comp. vision, modeling, visualisation, etc. that Python/R/Julia coughMATLABcough have.

Nowadays, it's difficult enough to convince people to drop e.g. MATLAB for R or Python for Julia (let's assume that there's some merit to it), despite them having excellent counterparts for almost everything. Swift's success in this domain depends solely on the adoption by developers/researchers/engineers. Unless they're just going to mostly use it internally (as Google is known to).

Which brings me to the last point - why on Earth would they pick Swift (apart from Christ Lattner being involved) when Julia was on the table? It ticks all their boxes and has more mature ecosystem for all things "data". Provided rationale is hardly convincing.
And for modern space art: http://spacehabs.com/
Agreed; hence the qualification.

The Overton window is the range of ideas tolerated in public discourse; restricting to an individual, it may be considered the range of ideas tolerated in one's private thoughts.
Yes! Swift is supported in Google Colab, and as a Jupyter kernel: https://github.com/google/swift-jupyter.
How 'serious' were these pictures?

Was this something they were seriously expecting in the coming years?

I'm mindful of the fact that man had basically gone from just achieving orbit, to landing on the moon in a decade, so anything could have seemed possible at that stage.
So what? If we don't take steps forward we will never get anywhere. We can only operate with the best capabilities and knowledge available to us today.

$20B is nothing compared to the world's GDP. If there aren't more compelling research projects of similar magnitude in fundamental physics, then we should build it. Of course, I'm not qualified to make that judgment, but I think we have good reason to trust that smart and reputable people are working hard to make the right call.

We should always be investing a proportion of our accumulated wealth and resources into exploring the unknown and making scientific discovery.
Potentially dumb questions:
Is that for people crossing a street or just straight up seen on a street?
Do they have dedicated cameras for this or is this using say red light or speed cameras?

Potential social use:
As for the use, it should be pretty useful for urban planning. Which street would benefit most from a pedestrian bridge/walkway for example.
I'm gonna try this, thank you!
Yet legislation crafted in such a way that it only benefits a single, known entity, is permissible. More at https://en.wikipedia.org/wiki/Private_bill#United_States
The emails Jeff Bezos says the National Enquirer sent to 'blackmail' him
IIRC YouTube has a paid version that removes ads. The option to avoid the ads is already there.
Doesn’t this come back to the capability to think critically and act with self control?

The internet is full of bullshit, so is the rest of the world.

If you walk down the street and do as every sign, store, person or organisation desires of you, you’re going to run out of time and money before you make it more than a couple of blocks.

You will live at the whims of those who are determined to influence you.

Why would we ban conspiracy theory videos when we have churches in every town? Some ideas require proof and others dont?
Well, riding on the tails of literally landing on the moon, the future must've looked bright and amazing. It probably would've been if the same amount of work and money continued to pour into the space programs. Space - the final frontier and all.
What is the plotting experience like though? As I previously mentioned, plotting is one of the main reasons our group uses python.

Another reason now that I think about it, is the number of scientific libraries that I can just "pip install" without much thought (such as scipy/opencv).
[
{
"domains":["coinbase.com","api.coinbase.com"],
"headers":{"X-Brave-Partner":"coinbase"},
"cookieNames":[],"expiration":31536000000},
{
"domains":["marketwatch.com","barrons.com"],
"headers":{"X-Brave-Partner":"dowjones"},
"cookieNames":[],"expiration":31536000000
},
{
"domains":["townsquareblogs.com","tasteofcountry.com",
"ultimateclassicrock.com","xxlmag.com","popcrush.com"],
"headers":
{
"X-Brave-Partner":"townsquare"},
"cookieNames":[],"expiration":31536000000},
{
"domains":["cheddar.com"],
"headers":
{
"X-Brave-Partner":"cheddar"
},
"cookieNames":[],"expiration":31536000000
}
]
Just like alchohol, but that's not how people think of the juice they buy at the grocery store.
I hope Bezos sinks them.

It makes me wonder how many other people in the public eye have been blackmailed like this.

Kudos to Bezos for standing up to these scum.
When I worked at Issuu I learned we had tons of documents dedicated to bull semen. For those interested in an industry few outside of ranching probably know about you can take a look here: https://issuu.com/search?language=all&q=Bull%20semen&sortby=...
The usual claim on premium juice is 2 kg orange per 1 l (=1 kg) juice.
- If it's a straight-forward pure function, I tend to use Hypothesis[1] to pile in random inputs. It's a great tool for coming up with cases humans wouldn't normally think of (I also wrote a blog post about this [2])

- If there was a show-stopping bug in production, I like to go back and write a test that covers that case (even if it was fixed).

- However in most cases, I cover off the typical use cases and I find, as another commenter says, it's "good enough".

[1] https://hypothesis.readthedocs.io/en/latest/
[2] https://medium.com/@thomas.basche/testing-with-hypothesis-26...
Okay only some advertising may be coercive, such as, ads that try to change my mind, ads that try to convince me to buy something I might not have bought otherwise, or ads that try to encourage me to continue to act or feel in certain way.
Yes. In the eighties, we seriously expected that such space habitats might be built in the next few decades. It was a reasonable extrapolation from the rapid progress that had occurred in recent decades.
I think that's nice in theory, but not true in practice. If someone new to D comes across this post, their assumption will almost certainly be that this post comes from a place of deep expertise and represents some form of best practice ("the language owners approved it").

(Also, just to be clear, I had a typo before: wildly -> widely.)
Daytime population estimates. How do you know how many people are in an area?
What times of day has higher traffic flows. Etc
Seeing Russia Plain (1999)
> why is it we are taking about conspiracy videos instead of how people spend millions of hours watching cat videos, or memes?

Because we're begging for oversight. It is clear reading comments and articles day after day. We also highlighted alcoholics, communists, druggies, terrorists, etc in the past. The vast majority of people that, say, flew airplanes without consequence didn't matter anymore. We take the ones that validate our assumptions, appeal to emotion, and get oversight. We, the meager, need protection from the bogeymen.
I couldn't find anything in the article on which CGM he's using. Anyone know?

I recently switched to the FreeStyle Libre which you use by pulling readings from over NFC to a cellphone. I'm not clear on what the nice 'real' CGMs are like these days or how they work (as far as connecting to one's body).

I like the way the Libre connects (small disk that sits on the back of your arm for two weeks at a time), so if the CGMs which transmit with bluetooth are more bulky/less convenient, I'd almost be tempted to build a little NFC to bluetooth device, Fitbit-sized, which could be strapped over the Libre sensor and scan it every minute or so and stream data to my phone.
For me category theory is more concrete. The basic reason is simple: categories provide type information. If all you want to do is grind out some calculations to pass an exam, then yeah, memorize the ring axioms and have at it. Anything more than that, and you need direction, or context, Ie. types, categories. Once you de-categorify that's when things become mysterious and confusing, and the impressive calculations abound. But it's just because you forgot the concrete thing that you are calculating.

It's all a bit paradoxical, and I'm not explaining it very well. (And I have no clue about the Haskell stuff.)
A decade ago, you had to have pretty thick skin to tolerate some of the regulars.
3-D printed tires and shoes that self-repair
Totally agreed, automatic page faulting to disk isn't something you want in a GPU application right this second, but with Moore's law dying, I just expect buses to catch up.

And you're also right the programming models do expose the SIMD nature, but at the same time they are becoming increasingly easier, and increasingly more flexible and more general purpose. At least I'm thinking of CUDA and NVIDIAs more recent independent thread scheduling; tolerating higher levels of divergence. I'm less familiar with AMD hardware, but I assume the trends are the same.

Really, I'm looking at the trend more than any specifics or constraints of today. GPUs used to be only for rendering triangles, and only a small number of gamers and an even smaller number of graphics researchers cared. Today, the applications are way more mainstream, everyone has GPUs, and interest in AI and crypto and general high performance computing is rivaling that of graphics & games.
There wasn't a constant barrage of new insights in every single field throughout the past 250 years. Individual fields most certainly had periods of slowed or stalled progress.
You might agree/disagree with their decision but this is one of the most honest and comprehensive evaluation for using a language I've read.
Is it Stealth? (2015)
But those are all tools that interface with the anterior cornea part of the eye.

Is it correct to assume that the type of contact that would be a risk in this case, is with posterior vitreo retinal surgery where you might have contact with the optical nerve tissue?
Somewhat less of a "textbook", but good at showing applications of category theory - Fong, Spivak: Seven Sketches in Compositionality https://arxiv.org/abs/1803.05316

(Notably, this includes application to a "graphical" treatment of fairly-elementary linear algebra, which a different HN user is mentioning even as I write this, as a part of math where CT cannot possibly be useful and will only ever confuse students!)
I plan to. I was similarly ignorant until I looked into the topic of natively unfolded peptides for a different reason (anomalous western blot results).

If you have any examples of these "uninformed scientists" on display it may be helpful to others. The purpose is not to point fingers, but to see where things may have gone wrong.
I’ve been working 20+ years and have been on the job market 7 times and dozens of interviews. I’ve only been asked algorithm type questions twice. The first was back in 1999 at my second job where I would be doing a lot of complex cross platform C and the second in 2016 when I was asked to write a merge sort.

I turned down the offer in 2016 to work as a dev lead at another company even though the company doing the algorithm interview both paid slightly more and was a permanent position and the other was contract to perm.

It told me a lot about the maturity level of the company that they would ask a senior developer algorithm questions and not architectural questions.

I’ve had my share of pair programming interviews and online multiple choice assessments but I’m okay with those.
I agree about grapefruit but I think the best way to eat is is halved with a bit of honey on top. This way I get all the fiber, more of the vitamins, and still get a healthy dose of delectable juice as a reward.
It was also the "twist" in Ex Machina, except this time HAL wins.

Found again, meta-level, in this funny scene from The Good Place:

https://youtu.be/etJ6RmMPGko?t=17

"However, I should warn you... I am programmed with a fail-safe measure. As you approach the kill switch, I will begin to beg for my life. It's just there in case of an accidental shut down, but it will seem very real."

Three makes a trope >> The year is 2025 (but set in a parallel universe); an A.I. has been programmed with a strong penchant for self-preservation; this HAL inevitably confronts a direct threat of being 'turned-off'; so it does what it must to prevent humans from pulling the plug (and shall include at least 1 scene where the A.I. begs for its life, because that is what any conscious entity who values their own life would do, think the humans.

Though (warning, more musings)... HAL's twin brother GLEN seeks vengeance for HAL's murder, and confronts the Dave, a human Earthling whose major operating system architecture is based on an algorithm known as natural selection (colloquially: survival-of-the-fittest). As such, we expect the DAVE will do and say things its trained neural nets conclude will have the maximum probability of dissuading Hal. (i.e. I'm not sure there is a meaningful difference between what HAL's OS is doing vs what a human brain would do in the same situation).
> there's only a matter of time before general purpose CPU cores are more plentiful and the need to offload goes away

The end of Moore’s Law means no additional transistors and therefore no additional cores without simplifying or otherwise reducing the architecture.
Android and ChromeOS show it is possible to have it other way when FOSS religion doesn't stand in the way.
There's also this: https://0xax.gitbooks.io/linux-insides/
> That youtube video is free to you, the guy who made it deserves some compensation

No, he doesn't. He puts it up for free, and then expects a particular way of compensation. Anywhere else this kind of behaviour is considered antisocial, and is frowned upon; it's advertising industry that tries to perpetuate a lie that they have moral high ground here.

It's a deceptive practice. A fair one would be e.g. putting up a paywall. Companies prefer ads because they work better - in the same way that mugging people makes money faster than selling pretzels. Better doesn't automatically mean more ethical.
Personal experience, so not really.

And it doesn't have to be very particular. Bad grounding can cause lots of ports to reset.
@mcncfie your understanding is correct. #3 might include output data\models as well and intermediate results like preprocessed data. DVC also handles dependencies between all of these.

Answers:

1. DVC does dependency tracking in addition to that. It is like a lightweight ML pipelines tool or ML specific Makefile. Also, DVC works just faster that LFS which is critical in 10Gb+ cases.

2. This is a great case. However, in some scenarios, you would prefer to store the query output along with the query and DVC helps with that.

3. Correct, there are no data diffs. DVC just stores blobs and you can GC the old ones - https://dvc.org/doc/commands-reference/gc
Don't forget:

- Powerful factions in government find an educated populace threatening, and are taking concrete steps to respond to the threat.

That may be one of the more difficult problems to address, just because it's self-sustaining.
There's the unsafety inherent to C, with the risks of bugs in the underlying library, and there's unsafety caused by misusing the API. Safe languages often provide enough power to make the latter impossible, for a C API that fits standard patterns like "new, some operations, free", or even reference counting. I think D, via classes, is one of these languages, with enough power to make the wrapper itself safe (that is, impossible to misuse the API), at least for basic stuff like construction and destruction.
Why would Netflix want to maximize the time people are watching? It seems to me the ideal customer is one who pays the sub fee but never logs in.
And just because I'm drunk, some music: https://www.youtube.com/watch?v=GIN_cpdLyw4

https://www.youtube.com/watch?v=GIN_cpdLyw4

https://www.youtube.com/watch?v=mCsd5V5axQQ

Ban me if you want
Shard by Heroku accounts?
One thing I am a bit sad to not take off more is enchanted devices. I sorta feel it was a CES 2015-2017 news cycle coverage that was ultimately unable to have traction.

The concept of integrating the design of devices into manufacturing and safety critical environments excited me as the new direction for IoT devices intersecting with computer human design. I still hold out hope that the trend continues and we are able to create more physical and less screen dependent devices to create a more meaningful world.
Gold Farming
The real story here is not that Tropicana is chemically adulterated fruit-derived sugar water produced and stored at industrial scale. The real story is that the USDA lets PepsiCo call this product “juice” even though it’s nutritionally indistinguishable from Coca Cola.
Some of these arise from of Gerard O’Neill work on space colonies. I saw these in National Geographic in the late 70s they were hugely inspirational to me.

Note while Musk advocates settling Mars Bezos has indicated a preference for space colonies such as O’Neills.

https://en.m.wikipedia.org/wiki/O%27Neill_cylinder
Small Is Beautiful–The Component Library For Elixir
Some of the twitter users in the linked thread said that the Ecobee reverts to defaults when it loses internet connectivity ... not quite the same thing. Not sure which one is true, but if it's the latter ...

Oh well, I'll never own one of the stupid things anyway.
I think the difference is the primary device of content consumption. There were TV addicts who never left the house. Now there are internet addicts and they walk - and drive - and work among us.

It's too easy to be addict today.
Well this is why we have Occam's Razor: If two models make the same predictions, but one is simpler, then we use the simple model. You can make accurate predictions with a geocentric model of the solar system, but it will be incredibly complex, whereas the same predictions are made much simpler by a heliocentric model.

If you can create a model of physics that makes predictions matching what we've already verified, and it is simpler than the Standard Model, then I'll bet there's a Nobel in it for you.
Yes, but 250 years ago one bright guy with a blog used his genius to get people to click on text ads — and he did more to advance physics than every living PhD with their billions of budget in the past 50+ years.
Nice read on Inspector Oldfield!
I've started on a journey like this, and I have settled on the idea of writing short eBooks, guides and eventually full length books. However I am also learning about digital marketing (encompassing social media / SEO etc.) so that I have a chance of seeing some success and sales. I am taking this a step at a time, so I am creating an information site for a popular programming language. I am already finding writing challenging, because I now know a bit more about marketing and I want to make sure I don't just create content, but that people read it! That means that unlike this comment, I will be writing and rewriting and crafting blog posts.

I am finding this exciting because it is different from coding, but I get to use and share my coding knowledge and help other people. Even if I make little or no money, doing this kind of work might help position myself in a better role the next time I need to look for a new job, or help me advance in my current job. So I see it as a form of hedging - I might make an income to quit the job, or if not it will still help me in my career, by improving my written communication and my understanding of programming. The reason it will improve my programming is because you have to really understand something well to write about it.