skysight-inc/HackerNews huggingface dataset:
This is disregarding the development of said ecosystems though. The point is that Python has been quite inhibitory to the development of this ecosystem. There are many corpses of automatic differentiation libraries (starting from autograd and tangent and then to things like theano to finally tensorflow and pytorch) and many corpses of JIT compilers and accelerators (Cython, Numba, pypy, and TensorFlow XLA, now PyTorch v2's JIT, etc.).

What has been found over the last decade is that a large part of that is due to the design of the languages. Jan Vitek for example has a great talk which describes how difficult it is to write a JIT compiler for R due to certain design choices in the language (https://www.youtube.com/watch?v=VdD0nHbcyk4, or the more detailed version https://www.youtube.com/watch?v=HStF1RJOyxI). There are certain language constructs that void lots of optimizations which have to then be worked around, which is why Python JITs choose subsets of the language to avoid specific parts that are not easy to optimize or not possible to optimize. This is why each take a domain-specific subset, a different subset of the language for numba vs jax vs etc., to choose something that is nice for ML vs for more generic codes.

With all of that, it's perfectly reasonable to point out that there have been languages which have been designed to not have the compilation difficulties, which have resulted having a single (JIT) compiler for the language. And by extension, it has made building machine learning and autodiff libraries not something that's a Google or Meta scale project (for example, PyTorch involves building GPU code bindings and a specialized JIT, not something very accessible). Julia is a language to point to here, but I think well-designed static languages like Rust also deserve a mention. How much further would we have gone if every new ML project didn't build a new compiler and a new automatic differentiation engine? What if the development was more modular and people could easy just work on the one thing they cared about?

As a nice example, for last NeurIPS we put out a paper on automatic differentiation of discrete stochastic models, i.e. extending AD to automatically handle cases like agent-based models. The code is open source (https://github.com/gaurav-arya/StochasticAD.jl), and you can see it's almost all written by a (talented) undergraduate over a span of about 6 months. It requires the JIT compilation because it works on a lot of things that are not solely in big matrix multiplication GPU kernels, but Julia provides that. And multiple dispatch gives GPU support. Done. The closest thing in PyTorch, storchastic, gets exponential scaling instead of StochasticAD's linear, and isn't quite compatible with a lot of what's required for ML, so it benchmarks as thousands of times slower than the simple Julia code. Of course, when Meta needs it they can and will put the minds of 5-10 top PhDs on it to build it out into a feature of PyTorch over 2 years and have a nice release. But at the end of the day we really need to ask, is that how it should be?
> but if it gets warmer we will loose them

Won't take long: https://www.nbcnews.com/science/environment/dramatic-swiss-g...
If N95 masks have worked so well for you, why walk around angry at everyone else for choosing not to wear them? You're in for a long life of anger and resentment.
I spent a good portion of my career in the insurance space, and got to the point I just won't work in that industry anymore. Not only because I think benefits coordination companies like you mention are awful, but also because of the sheer amount of bloat I've seen in that industry. Most major cities have literal towers of offices just filled with insurance workers, many of whom do almost nothing for their salary. I personally know one developer at a large one that hasn't talked to his manager in months, and hasn't done any coding at work for almost as long because he has no tasks to complete, and was told "we're waiting on this project to be approved". He collects a paycheck and doesn't even go into the office. He is one of ten on his team. I think Insurance and banking may be the last of the big corporations you can still get lost in.

So yeah, maybe Amazon can do better at least on the administration side.
That's just it, being first to the market is sometimes more important than worrying about competitors. They killed it so hard with the ipod that even if the zune was a better device at the time people wanted the ipod.
Ask HN: Why are annual reviews so broken?
It's seems to me that if companies drew a straight line between here's what you need to do to get this much of a raise or this much of a bonus, they could get alot more out of each employee. why waste everyones time and effort for stuff that doesn't matter?
I'd guess they're referring to ordinary reads/writes having acquire/release semantics on x86 and relaxed on ARM.
Intel to cut dividend to conserve cash
> That's pretty much the only thing China is actually doing.

Its not. Dont make up nonsense. The US is the only exception. Two years ago the Chinese state finally learned that keeping civilized discourse and refraining from calling out bullsht does not prevent the US from lying about them. Hence the US is the only country for which they are actually calling out its doublespeak.

I still think that they are acting way too civilized and reserved to be able to cope up with never-ending US sht slinging and lying.
My 100-year-old house in British Columbia was built entirely of Douglas Fir. At this point, you can barely pound a nail into the studs and joists. The density is incredible. New lumber feels insubstantial in comparison.
Jimmy Carter: Unlucky President, Lucky Man
See my revised comment above. Yes, GCC is much slower at compiling p7zip on x64 laptops specifically because it is apparently triggering thermal throttling, on both Intel or AMD. It builds much faster on my old Xeon where thermal throttling is much less of an issue, and of course on the M1s.
These are the free parameters of the Standard Model https://en.m.wikipedia.org/wiki/Standard_Model#Construction_...
> The thing is, anything but passwords is extremely challenging for non-tech users.

People usually manage to not loose/destroy the keys to their houses/cars very often. A FIDO token is very similar. You just need to understand that it's important to not loose it and that you should have a second backup key. I don't think this problem has anything to do with being a "non-tech" user.
This doesn't change the fact that your first sentence is very poorly worded and undermines the point you're trying to make in the second sentence.
I hear you. My suggestion is to find an old Kindle Fire HDX 7". It's a 7" Android 4.2.2 with great performance; you can get APKs of all your old favorite games from nearly shady sources and play them as they were in their glory days, before everything started breaking. Mobile gaming was once something great.
Pilots are meant to have a rule of thumb where they set a stopwatch and whatever takeoff power they are using they should reach 80kts within a certain time period, can’t remember exactly but I think it’s about 30 seconds. If not they should reject takeoff before they reach the ‘high speed realm’. Possibly the newest Airbus A350 might have what you describe already, but they don’t tend to back port this stuff to the older systems in older airframe families.
> You wouldn't ridicule someone for reading fast, would you.

I might well, if it were evident they prioritized speed of completion over comprehension and retention of the content, and if they also insisted against all intuition and much evidence that speed of completion were the only figure of merit.
American here -- agree with the sentiment.. but the American Medical Association guild practices, plus the weight of wealth behind the scenes, have doomed alternatives IMHO. Amazon Inc. is perfectly positioned in the minds of many to be the heartless, efficient and remote 'brain' for the ugly reality of healthcare delivery in the USA.

While digesting that unpleasant postulation, I will refer to a second order effect, and that is .. always on electronic ID with de-facto location tracking, entering into the commercial info fabric. Legislators be warned, this is going to change, and change, and change again the social fabric as real people fall into health problems and life changes, and no longer run their relationship with public information about their conditions, and that it is linked to a (profit-motive) law enforcement fines, court conditions and oversight, one at a time on a very large scale.
> The only thing that no one can take from you is the things in your brain. I have a number of 10 character alphanumeric random passwords memorized, and I can use one of them as a master for a password manager...

Because keyloggers don't exist, and privileged processes can't read from ram?

I love bitwarden - but there are many ways my passphrase might be compromised. This is a little alliveated by 2fa - but unless the 2fa comes from a second hw device, there's almost complete overlap between threats that compromise my passphrase (for bitwarden) and my 2fa secret (in bitwarden or another 2fa app)...
Race is made up, yet racial discrimination happens all the time. Money is made up, yet we all use it every day. Just because something is “made up” doesn’t mean it isn’t real. We made it real.
Organizing is also for working conditions which are often not great in software. E.g. unpaid overtime, on-call requirements, unrealistic deadlines, poor performance assessment, etc.
Ask HN: Programmable Canvas Tool?
There was a programmable canvas/whiteboard tool that I saw on HN within the past year and again within the past few months.

Anyone know what I'm talking about?

It let you write code blocks that looked like cards on a whiteboard/canvas type interface, and things were draggable.
Generally the computer / flight crew does those calculations based on location of passengers, cargo and fuel. They probably missed something and requested more weight.

Source: I was personally loading cargo on an Embraer 175 two days ago. Also this link gives a good overview of weight sensors in planes.

https://aviation.stackexchange.com/questions/1850/do-some-ai...
Non-paywall: https://archive.is/V1RkT
> But simultaneously you won't be looking at that giant monitor from the same distance

I sit 16-20 inches away from my monitor. I don't really think I sit further from this monitor than smaller monitors I've had in the past. Or a laptop on a stand.

As other people point out, I use it like multiple monitors that are seamlessly glued together with a tiling window manager (MacOS so Rectangle).
Refreshingly honest reasoning, at least.
> It's mostly just people more or less randomly chaining together black box neural networks in the obvious way and seeing what comes out.

But would that not be the same in any language if it had the same library support as Python? For ML as it stands, I don't think it matters much what programming you are working in ; you are not really using the features of the programming anyway vs a medium sized SaaS product for instance. So I really doesn't (and wouldn't have) matter, so just pick the most popular and that's it. You are basically just working with the syntax of Python to stuff things into numpy/torch etc, you are not getting the joys of idiomatic Python anyway. And as I read more and more modern ML code, it really is just that; open file, set up for GPU work, next step which is more of the same.
It could be something as pedestrian as the software writing and later reading back from /tmp/somerandomfile. Or retrying with similar, predictable names.
Why?

I'm pretty sick of this stuff. As if a multi-conglomerate will have no want to abuse the access to new data and push medical access in directions it shouldn't be going. Amazon just bought iRobot. So now they have microphones and cameras in your home, they know what you eat, buy, and watch, and now they get your medical information.

I honestly don't have any hopes anymore. The U.S.'s democratic process and regulation entities are corporate captured. We're owned and controlled by institutional corporate shareholders.
Don't we had a lot of movies explaining how bad this could go?
Don't we had enough self inflicted catastrophes to keep us entertained that we need another disruptive one?
What if a gas station finds that people keep fueling up and then driving off -- the customers don't seem to want to plaster their cars with bumper stickers related to the advertisers who are paying extra to the gas station and they don't seem to want to use the fuel "filter" that requires you to put a small extra charge on your credit card every few miles or the fuel won't move from the tank to the engine?

For the sake of profitability, I could imagine the gas station might choose to stop selling gas through pumps since those simply couldn't be as profitable.
I could see it for a semi truck. Another advantage there is that you don't need it to look pretty, you don't need to try to hide the battery under the truck.
I don’t think the plane needs a high level precision for the weight. I’m sure it could be off by a couple thousand pounds without any issue, and winds wouldn’t affect the weight that much.
Similar for me, caved in and bought a M2. It's great and all, gotta say though, not entirely happy with how unbearable the 2019 intel mbp has become.

Yeah, it struggles with YouTube videos and fans are spinning in vacuum cleaner mode. But it didn't in 2019. I feel OS and software updates ruined it. Not what I expect after only about 3 years of use. (obviously it wasn't cheap either)

Oh well, still gave Apple my money, just hope it's a special situation with the chipset transition and not the regular lifespan from now on.
Canadian spy agency, CSIS, warns China, Russia targeting Canada's AI know how
Doesn't solve keyloggers?
Mitigation strategies are varied, you basically cannot guarantee there will not be any contamination if you are doing any kind of scale. We are looking at polycultures/consortiums (robust ecosystems inside one reactor), various filtration systems and high frequency monitoring. There are some others we won't publish (yet)
Yes, down for me too.
>A pilot at American Airlines, which uses the same DynamicSource performance data tool, and who also spoke anonymously because he didn’t have authorization, explained that the computer then calculates just the right amount of engine thrust so the pilots don’t use more than necessary.

>“The goal is to lower the power used on takeoff,” he said. “That reduces engine wear and saves money” on fuel and maintenance.

Cost cutting can do more harm than good, and occasionally puts lives in danger - they need to teach that in MBA classes.
Yeah, sounds like they could have just raised the price of the original. But I guess they are convinced that this would still cannibalise their other offerings, which I suppose monetise better.

So it's more like you having two gas stations next to each other - one with a price per gallon and nothing else, one with a more confusing user experience that yields more dollars per gallon of fuel than a fixed price.
It's a matter of regulation and policy. I was on a regional bus recently in the rain (Ontario's GO Transit) and a small car next to us hydroplaned and bumped the side of the bus. The driver immediately

- Pulled over onto the shoulder,

- Passed around a pad to collect everyone's contact information,

- Summoned a replacement bus, and

- Called the provincial police to escort us along the shoulder to the replacement bus.

In the moment, all of this felt a little over the top, and the total delay of about 20mins total was pretty frustrating given that I ended up missing a connection. But at the end of the day, it builds my trust in the safety of that system that the fitness of any particular piece of equipment is not up to the individual drivers to judge— part of paying for a ticket on the state-run transit system is expecting a higher level of safety than, say, what you might get on a Chinatown bus line (https://en.wikipedia.org/wiki/Chinatown_bus_lines#Accidents). And I think I was also glad that it hadn't happened to me in my personal vehicle, where I would have to be the one to assess fitness and then deal with the insurance and so-on in the aftermath.
> But that’s my question. If the AI generated the exact same words a human touch person would have is disclosing the author necessary?

Honestly, the disclosure probably had nothing to do with the message itself. I'm sure it was all about institutional beliefs and policies regarding plagiarism. If some student took credit for an unattributed ChatGPT essay, they'd probably be pitilessly be given a zero at best.

However, including the disclaimer totally undermined the message (which was a pro-forma thing no one would probably have cared about otherwise). The message said "we care," but the disclaimer said "but not that much," and that would understandably offend people if noticed.
Worth noting the "Netflix Party" in question is not the extension now called Teleparty (previously Netflix Party), which is an order of magnitude more popular than the compromised equivalent named here
I think you do have to factor in ecosystem inertia, however I also feel that numpy, scipy, and scikit-learn are pretty new, all things considered. We could have (and indeed did) take different paths in the past, just none of the others (xlispstat) really took. To me the chain of events that got us here go way further back.

C was much, much better suited to squeezing performance out of the hardware of the late 1970s and 1980s (C fast; lisp slow). From there, the foundation of basically every operating system and system library we know and love today were built... in C.

Python never tried to break free of being a veneer over C, with vaguely C sensibilities. Python displaced Perl as the prevailing veneer language because it had objects, and objects were all the rage right as people were learning about Python on Usenet and later Slashdot.

The initial set of assumptions haven't held. Just about any serious language in the lisp family runs circles around Python. Lisp is no longer slow. But now we've been thinking in "C-ish" for so long that lisp is weird. We broke our collective brains on the gross abstractions of C and C-veneer, that we can't even see how gross it is.

Will Julia ultimately gain traction? I don't know. They're trying to be a lisp that doesn't trigger our weird reflex. Bindings to a lower level language seem more like a liability in 2023 than 1993. And just in case, Julia has gone to some pains to allow reuse of C code, way down at the LLVM level, which is something Python can't say. But while Julia was getting built, Python built an ecosystem.
Seriously. This whole notion of "corporations must grow infinitely and indefinitely" is straight-up cancerous.

Can't we for once have legislators who can say something to the effect of "stay in your lane" to a corporation and actually enforce it?

How does a bookstore go from being a bookstore that now controls the internet's infrastructure and now my healthcare?
That particular culture shock ends up much worse in reverse, unfortunately...

https://www.theguardian.com/us-news/2017/nov/26/anette-soren...

https://www.reuters.com/article/us-restaurant-baby/swedish-w...
They were already a publicly traded corporation. Their interests have never been aligned with yours fundamentally, they've been aligned with a fiduciary duty to make profit for shareholders. Literally nothing about the profit motive has changed.

But fortunately their business model has been about providing a superior level of care for a small extra fee, and presumably Amazon is buying them for that strength. Otherwise it would be a pretty pointless acquisition.

But who knows, maybe now there'll be a discount if you have a Prime membership or something. :P
Why not let cars use model or brand specific battery storage solutions for, say, 80% of their power and a swappable reasonably sized standard form factor modular battery for the last 15-20%, just for critical drive-home, or at least drive-to-the-next-swap-station storage?

It seems like something the size of a briefcase ought to be suitable for just about any format of electric vehicle aside from motorcycles, which likely would have less need for this facility anyway due to quick charging.
Cool and I’m going to purchase it for a billion AI generated dollars in a cryptocurrency
No, I already understood the today's labor market and modern consumerism. I'm just showing a way it plays out in the real world.

Here is another example:

If you asked 100 random 20 year olds in 1985 what "success" looks like. There is a high likelihood some would mention large house, BMW, pool in the back yard, large TV, executive at a large company.

If you did the same thing today you are much less likely to get that answer. Today you are much more likely to get millions of subscribers on YouTube or Instagram and no need for a full time job.
There's a dirt road connecting two neighborhoods in my area that google thinks is the most direct way to get across town. Unless you have a true off road 4x4 with a lifted suspension capable of climbing a 15% grade, you're going to have a bad day going in reverse when you realize it's not a real road.

It's gotten so bad that there is an actual sign that says "GPS IS WRONG THIS IS NOT THE WAY" at the end of the last paved part.
The fact that we're talking about the 'iPod' & Apple and not the 'iRiver xyz' I think shows it made a big difference.

Yes, I know, survivorship bias, but apple has a history of not releases products unless they think they're good enough (for their own definition of good) and if apple hadn't had found a way to make it store enough songs to be a differentiator we probably would never have heard of the iPod, nor would we be talking about it today
Given that both of these planes took-off well within the acceptable safety margin, I’m not sure you can say that the planes deviated from their expected acceleration profiles enough for a model to confidently say there was an error significant enough to justify an abort.

Ultimately the issue was noticed not because a single plane suffered a failure (one that’s expected to occur occasionally, and where multiple mitigations exist to ensure the failures are safe), but because two planes one after the other suffered an identical failure, a failure that’s only expected to occur rarely.

So ultimately the unexpected event was two closely spaced expected failures. Not the expected failures themselves, which kinda indicates that aborting to prevent the expected failures would have quite a high false positive rate. Aborts and alerts with high false positive rates are themselves safety issues which need to be avoided, so a trade off needs to be made. The fact that the individual tail strikes themselves were completely safe, if not ideal, and the larger issue was rapidly recognised and corrected, strongly indicates the right trade offs have been made.
For your freind there should be a GPO or Intune policy to set another default browser. Say what you want about Windows but for enterprise machines the controls are there to change every single setting in GPO or Intune.

For your PC I would run, the green/recommended settings:

https://www.oo-software.com/en/shutup10

That turns off a lot of annoying shit but does not break your OS install like all those shady github scripts do.
conjecturing here...

i would think part of it would be -- just pick something?

then...

try to get a job doing that something. or train until you can get a job doing that something.

that said, if you're wanting to potentially keep being a generalist, and only thinking about specializing because you can't find a new gig as a generalist, i would suspect there are a billion jobs out there for what you do -- devops -- contracts, full time, etc.

maybe i'm not getting what your background really is, etc.
Thanks! Just bought it.