skysight-inc/HackerNews huggingface dataset:
This paper is one of my all time favorites.

It shows that extremely deep vanilla CNNs - without the use of batch normalization or residual connections - can be trained simply by using a Delta-Orthogonal weight initialization scheme and appropriate activation function.

The Delta-Orthogonal initialization scheme is derived theoretically by developing a mean field theory for signal propagation which characterizes the conditions for dynamical isometry. Ultra-deep CNNs can train faster and perform better if their input-output Jacobians exhibit dynamical isometry, namely the property that the entire distribution of singular values is close to 1.

Put another way, dynamical isometry is a necessary condition for signals to flow both forward and backward through the network without attenuation. A variety of pathologies such as vanishing/exploding gradients make training such deep networks challenging - mean field theory is a powerful tool that offers solutions to these challenges.

The authors demonstrate experimentally that Delta-Orthogonal kernels outperform existing initialization schemes for very deep vanilla convolutional networks. They also find strikingly good agreement between theoretical and experimental results. IMO one of the most astonishing findings is that for networks initialized using this scheme the learning time measured in number of training epochs is independent of depth.

> Our results indicate that we have removed all the major fundamental obstacles to training arbitrarily deep vanilla convolutional networks. In doing so, we have layed the groundwork to begin addressing some outstanding questions in the deep learning community, such as whether depth alone can deliver enhanced generalization performance. Our initial results suggest that past a certain depth, on the order of tens or hundreds of layers, the test performance for vanilla convolutional architecture saturates. These observations suggest that architectural features such as residual connections and batch normalization are likely to play an important role in defining a good model class, rather than simply enabling efficient training.

Here is a link to the ConvolutionDeltaOrthogonal initializer in Tensorflow [1].

[1] https://github.com/tensorflow/tensorflow/blob/d287ff3d95c06b...
Yes, your goal isn't to shave a yak, it's to do something else, but you have endless side quests including being a yak barber.
For a bitmap equivalent, check out my own DotArt: https://albright.pro/dotart/

I'm not a JS expert so there's probably room for improvement/modernization code-wise but I think it works pretty well and I'm happy with the results.
is this not trivially fixable by running software that tunnels IPv4 into ipv6 between hosts who want to play multiplayer?
I have seen some implementations of IPX which work by tunneling IPX inside IPv4.
> Of course this is impossible in the real world. Nobody is going to buy a car that will randomly make its own decisions, that will pull the wheel from your hands ever time it thinks you are making an illegal lane change.

Yeah, add to that the unreliability of Tesla's system means that it cannot pull the wheel from the driver, because it's not unusual for it to want to do something dangerous and need to be stopped. You don't want it to "fix" a mistake by driving someone into the median divider.
I really hope its better than Zero-K's music, their "professional" composer produced some of the most eye-rollingly awful syntesized orchestral music I've ever heard
Fair point to check. All harmless here though :P

These are all users who joined during our private beta and who we spoke to personally :)
I read through this and am really skeptical. There's a focus on optimization, but it only does a first order analysis of efficiency in GoL. Anybody coming in knowing about hashlife is going to have a huge mental advantage over a naive programmer, in a way that tells you NOTHING about the applicant's ability.
They have a playlist on Amazon Music called +44 for “the best” in British music (I beg to differ) but it seems that’s what the trademark covers[1].

- [1] https://uspto.report/TM/88838455
thanks for mentioning 4champ here - it brought some new users, looking at the download stats in appstore. I'll be sure to address your comment on providing means to go back in the radio mode play queue in a future version. :)
Internet Revamp for the Humble Landline
The majority of consumer products are priced according to what people will pay, not what they cost.
> Mathematical proofs don't use models.

Maybe the person you replied to was taking a model theoretic perspective?

https://plato.stanford.edu/entries/modeltheory-fo/
How, exactly, is that hostname being resolved, though? There is no magical protocol to resolve TLD-less hostnames in DNS. Your router probably adds entries for `hostname.dhcp-domain` but since `dhcp-domain` is empty, you end up with just `hostname`. No, go ahead and name a device `com` and see what happens. Your router will have a hard time resolving `example.com`. This is why you put your stuff behind apurpose-built TLD like `home.arpa.`
Oh, you're thinking of NP-hard yes-no problems. Many if not most NP-hard problems of practical importance, including the traveling salesman, involve integer rather than boolean scores.
Lake Wobegon Dice
Schema design is THE problem data oriented programming is focused on. It's saying, let's design our data structures in memory and on disk such that they exist to solve the problem at hand. I think youre talking about the same thing
The Subgenius must have Slack.
I've got a 1660 that I sometimes set to mining when I'm not doing anything else with it. I use Nvidia-smi to set the power limit to 75W to keep the fan from being audible.

A full month of mining would net about $50 in ETH for $4 in electricity. If you are buying equipment just to mine, it's probably not a good plan. But if you already have it, sure, it's pretty profitable.
So... does anyone here actually believe this comment?
Services Usage Data
That sounds like a bug. Will look into it ASAP. If you report the issue using the question mark on the bottom-left of the app, I'll be able to follow up with you directly :)
When "I will never" becomes "we demand".
What this article fails to mention is that "free range" kids causes them to interact with the world on their own without understanding the consequences of their actions. Unfortunately we live in a police state where there is no leniency for misunderstandings or just being flat out ignorant. It's illegal to not know the law and anybody can pursue you for any infraction. It's hard to experiment and learn when you have family members that are paranoid on your behalf to prevent lawsuits.
I have this book. I was pretty excited about it. I have tried 3 times to work through it so far, and haven’t made it through chapter two.

I did not connect with math when I was in High School. I liked geometry, but never took anything after that. I didn’t really learn anything new in college algebra.

I program at an accomplished level- I’m doing senior dev work in a complex domain, and have led teams of developers.

But I feel bad when trying to go through this book. Like I had huge gaps in knowledge that the author assumed I had, which led me to wonder why that is.

I will probably try to struggle through this again, in hopes that eventually it clicks. If anyone knows of a book I could use as a prerequisite or intermediate step, I would appreciate that!
It's extremely easy to get it running on Linux. Many distributions have a lilypond package, which just works out of the box.

The problem I've always had with the language is that it's quite arcane and if you want to do anything weird (like, a tie to nowhere) you're either at the mercy of somebody else having solved the problem first, or failing that, a huge learning curve. It's a lot like latex in that way. That said, if you just need to do simple stuff, the language almost magically gets out of your way.
wrt propulsion I meant a gravity assist, passing by the BH much closer than you would a planet.
> particularly when it feeds into narratives

This shouldn't matter, otherwise you'll succumb to false-flags and Reverse psychology.

In any case, the post you responded to doesn't say anything about fox news. Any basing an opinion on fox news isn't "Doubting blindly"; it would be blind trust.

Blind doubt aka scepticism is fine, because doubting something (with poor sources) isn't the same as assuming it's false - it's not assuming that it's true.

Lack of a reason to trust US elections is justification to doubt them. The standard is (should be) that these things prove themselves, rather than put the burden of proof on outside observers.

It's also worth noting the post that it was replying to said:

> My university educated in laws in the UK are doubting the outcome of elections in the US

which seems to take "doubting the outcome of elections" as automatically outrageous, without mention of reasons, sources or why.
So many good memories. Excellent game.
Does anyone know of a way to interact with BAR or another of the TA clones via an API or in some other way? I'd love to have a go at building a game AI.
Money Monday is back where we belong. On Monday
Pretty much. People are being pulled in a thousand different directions by people with their calls-to-action.

Mainly targeting advertisements and political messaging. More prosaic stuff like filing your taxes on time can be conveyed effectively without commanding people to do things. "Taxes are due by April 15th" would work fine, for example.
You're right, when I mentioned "taxonomy, abstraction and world-modeling" I meant as it pertains to code organization in the tradition OOP/OOD sense where it's generally about naming classes, creating inheritance hierarchies, etc. Data-oriented design is _absolutely_ concerned with the data schema. I would, however, disagree that the focus should be on "building the world" with your schema. To me this means creating the schema based off of some gut/fuzzy feeling you get when the names of things all end up being real world nouns. To me creating a good schema is less about world building than it is about having the exact data that you need, well normalized and in a format that works well with the algorithm you want to apply to it.
Blue Origin Engineer: we are not like this
The other issue with trying to power through the job whilst absolutely hating it, is that your performance suffers and you end up getting fired. The turnover rate in quant finance is extremely high and it's not just because people voluntarily quit.
The Federal Reserve could go ahead and do exactly this without Congress's help. You know, actually serve the people and come up with a solution to the changing times like they did with ACH back in the 1970s. That's probably asking too much of our leaders though.
> just have all cars limit their speed to the speed limit.

The devil is in the details... GPS may not provide sufficient resolution. Construction zones. School zones with variable hours. Tunnels. Adverse road conditions. Changes to the underlying roads. Different classes of vehicles. Etc.

By the time you account for all the mapping and/or perception, you could've just improved the autonomous driving and eliminated the biggest source of humans driving: The human.
You can't say values are irrational -- they just are. If you really like paperclips, no amount of logic can tell you otherwise. What logic can tell you (and other people could), is that your values conflict with each other and you have to balance one against another. Turning whole universe into paperclips is counterproductive if you also value pins. If you literally have no value the other person is basing their arguments on, then they can't convince you to have it.

Luckily we get our values from bunch of heuristics developed through millions of years of biological and social evolution, so we mostly have the same ones, just with different relative weights.

Won't be true if we ever meet (or make) some other sentient critters.
Set a deadline - 6 or 12 months. Cheer yourself up by using that time to plan carefully some of your desired activities. Save as much money as you can during that year.

Then quit.

It will take three months at least before you find your balance again. At least, that's how it was for me after my company closed and sent us all away with nice severence packages. One of my colleagues literally stepped into a nicely paying contract gig the following Monday. I took a month which turned into three which turned into six. I did the cliché thing and went to Bali. And still my mind was so focused on the rat race and how to live by its rules that I almost forgot to enjoy my time.

I did some contract stuff, did some nice travel, and then got a "real job". Now, 1.5 years later, I hate almost every day. I have money again, and safety, and a comfy house with a big yard (great fortune to be stuck here during COVID compared to a flat in Amsterdam). But knowing I have to get up each day and do nearly pointless tasks just to keep the ship moving in the right direction has been making me question the point of existence. That questioning can easily reach a point of danger, because ultimately you will reason that there is no point (and there isn't...); so you should be doing something that makes you happy or that you find passion in.

Tomorrow I quit. I worked out a contract where I have total say in how the tech stuff is built, and I have total flexibility in location and nearly total flexibility in hours of the day.

Given your skills, if you wish to leverage your unique and pretty valuable talents, you should be getting involved (networking) with entrepreneurial finance people. One of my other colleagues was a quant, and now he's investing and managing investment for a few clients. It took him about 5 years, but now I believe he has surpassed his income level from when we were at a professional finance shop. He travels for work and pleasure, and he mostly keep hours of his choosing.

There are really so many things you could probably do... you just need to start getting to know people and seeing which opportunities present themselves.
This is pretty cool!

It reminds me of a similar project that’s been around called drawille [0] which is pretty nifty.

[0]: https://github.com/asciimoo/drawille
How long will that situation last though, with Ethereum 2.0 around the corner and the next difficulty bomb scheduled for December?

https://www.reddit.com/r/ethereum/comments/olla5w/eip_3554_o...

Intel could be launching their cards into a GPU surplus...

That's discrete GPUs though, presumably the major volumes are in laptop GPUs? Will Intel have a CPU+GPU combo product for laptops?
Century-old food giant Ajinomoto surprise Covid tech boom winner
Hmm, not always. I've just setup my own mail server, I PASS SPF, DMARC and DKIM according to Gmail headers and yet my email is still classified as spam, as determined by "Gmail magic". I believe this is because the domain is relatively new and Gmail treats you as guilty until you prove your innocence (ie. Enough people mark my emails as not spam)
A lot of people in here saying it is not possible to drive safely with partial self driving. I wonder, how many of those people have actually driven a car with autopilot?

I have autopilot on my car, and it definitely makes me a better and safer driver. It maintains my distance from the car in front and my speed while keeping me in my lane, so my brain no longer has to worry about those mundane things. Instead I can spend all my brainpower focused on looking for potential emergencies, instead of splitting time between lane keeping/following and looking for emergencies.

I no longer have to look at my speedometer or the lane markers, I can take a much broader view of the traffic and conditions around me.

Before you say it's impossible to be safe driving with an assistive product, I suggest trying one out.
The DARPA model which does out relatively large grants for risky ideas is the way to go. Avoid the European model, where government pork is the norm and fed through a massive meat grinder feeding a self-serving bureaucracy that wastes innovators' time. And because it's the norm, investors expect to be subsidized, so it's difficult to avoid.
A car that beeps when I drift out of lane, or beeps when I go too fast before a curve, or beeps like hell if I cross over the center median would be hugely useful, because a record of every warning would be there, whether correct or not.

Conversely, if it didn't warn me right before an accident, then the absence of that warning would be useful too.

All of that information should be put back into the model based on crash reporting. Everything else can be ignored.

I would argue that the information should be available to all automakers (perhaps using the NHTSA as a conduit), so that each of them have the same safety information, but can still develop their own models. The FAA actually does this already with the FAA Accident and Incident Data Systems [0] and it has worked pretty darn well.

[0] - https://www.asias.faa.gov/apex/f?p=100:2:::NO:::
I'm pretty sure because FSD is out to a limited number of users at the moment. I think it totals around a 1000.
Why did you settle for $58M in fines when Yodlee does the same thing but they very blatantly sell customer data, and as of yet, remain untouchable?
It ain't real life without at least a little bit of contradiction

Can't practice tolerance without being intolerant to intolerance, for example...
Generation M for Metaverse
That's great. I use these myself on a daily basis, but it can turn into quite a grind, especially working with novel(to me) datasets.
You can request if youre on the tsa no fly list iirc.
In the sandbox, if you change the payoff of both parties cheating to -5, the angelic cooperator seems to win in most simulations.

In a way, this makes sense: if the penalty when both parties cheat is harsher than the upside of swindling your partner, "trust at all costs" wins out!

But on a societal level, I suppose this means that if you want to optimize for do-gooders, you should punish failure harshly, no matter which party is responsible...
(IANAL either) I understand and agree that part of the issue is that they, allegedly, underhandedly collected this data. My question is focused around the potential selling of that data, which took place according to the lawsuit and was likely the reason to collect the data.

From the article you linked:

> Plaid would retain access to their credentials and use them to mine, aggregate and then sell users’ financial transaction data to third parties (including to the fintech apps that use its services) for purposes unrelated to the plaintiffs’ use of the fintech payment apps.
A lot of those jobs ultimately became redundant for people. Milk delivery makes no sense when you can choose your bottle down at the grocery store next time you're there. Bedside care became impractical as medical technology advanced, and electric trolleys are pretty cumbersome (especially alongside city streets).

Eventually, we realized that we could cut out the milkman: we laid off a lot of people in the process, but I'm sure the ice deliverymen are thankful that they no longer need to haul 25 pound bricks up New York staircases anymore.
wondering if people see the value. thanks
Free app based on the same idea:

https://apps.ankiweb.net/

https://github.com/ankitects/anki-manual/
Ck2 is nice because it doesn't run slow like EU4, Stellaris, or HOI4
Website and models available at https://beehave-model.net/

Original model implemented in NetLogo (as described on the page).

Some papers I found looking for the model:

https://besjournals.onlinelibrary.wiley.com/doi/epdf/10.1111...

https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111...

Wish I had some time to explore making a game out of something like this while preserving as much of the accurate simulation as possible.
Not at all. Finance sector in London (especially investment banks) is an outlier.
Nice idea. I'd recommend implementing a demo image on the site. Not everybody will go through the trouble of uploading their own file to test out the project.
That's what mDNS (multicast-DNS) is for (mentioned in the article as the reason to never use .local as a DNS TLD because that conflicts with mDNS). The old Windows hostname lookup is predecessor of modern mDNS, but surprisingly Windows was one of the slowest to adopt modern mDNS. (In part because Microsoft backed a competitor named PNRP: they thought it would be great to have a Distributed Hash Table [DHT] as the data store for hostname lookup rather than just relying on pure "dumb" multicast shouting for anyone on the local segment who can here it. It wasn't a bad idea but managing DHTs is complex and mDNS was a simpler standard.)

At this point almost every major OS (including Windows 10 after the right feature update) mDNS mostly just works out of the box: ask for somehostname.local and if a system responds "oh, that's my hostname" things mostly just work. (mDNS was once called "Bonjour" if that helps connect the dots on what it is and how long many OSes have supported it.)

So don't use .local for DNS and mDNS works fine in so many cases these days you don't really need set a DNS for your local systems anyway. (Though if you do want a setup, I think this article is correct and home.arpa is the safest option available. .lan is also a bad idea because it isn't RFC protected and could be bought by someone as gTLD just as Google bought .dev.)
Amy Dacyzyn, who wrote The Tightwad Gazette, gives some good guidance here. She talks about what your total return per hour is on doing something frugally. If changing your own oil takes 15 minutes and saves you $15, then you "earn" $60 / hour doing it over time. Notably, she doesn't really recommend couponing as an activity, but does recommend shopping sales and buying in bulk, using an extra freezer to keep low-price meats and then "shopping" in your own freezer for meal planning.

A lot of rich people became rich by being frugal (along with having a higher income). But there's such as a thing as false economy. It's up to you to determine true vs. false economy in your life.
The biggest impediment to your breaking out of circular thinking, might be thinking automatically that any other job would entail a big pay cut. Because first of all, maybe not. Your skills are in high demand. If anything it's the opposite problem: If you don't decide for yourself what direction you want to go in, someone out there will always have an opinion. In your case that person was the recruiter you mention, but everyone of course has lots of ideas about where they can put talented people to use. Which is a nice problem to have if you're said talented person, but it becomes about being selective. The recruiter decided where you should work, not you.

Analogies:

1) Maybe I'm quite handsome and let's assume heterosexual for this example, and I never have to ask women out; I just wait for them to ask me. Corollary: I date only the women whom said women want me to date (themselves)!

2) Maybe I'm an accomplished musician and someone's always asking me to join their band. When I do, inevitably the band ends up sucking. Maybe I don't like music anymore?!?! (No, probably I should start my own band, or at least not limit my search to only the bands that go looking and find me. Maybe I should even write to my very favorite band, refer them to some of my amazing work and say I hope we get a chance to work together someday. You never know!)

Secondly (and yes I realize it's been a long time since the "first of all"), just for the sake of argument - if you did take a pay cut, so what? What do you need all that money for... to throw away on rent in a city you hate? Work remotely from someplace cheaper and you might find that the differential amount that you can save each month remains the same or even increases. Just food for thought. Or to get more extreme and "Shit My Dad Says" about it, experience complete unemployment for a while, or be in the army for a stint, and see how much more appealing that "low" salary job is!

Bottom line: Don't be a prisoner of the golden handcuffs!