skysight-inc/HackerNews huggingface dataset:
Similarly, one must only count how much time is used for self-maintenance tasks such as eating, pooping and sleeping to conclude that living isn't worth it.
You misread the OP: they're saying that lots of Asian women (in the US) view Asian men as undesirable.
How Bitcoin Looked 11 Years Ago
I agree with this answer.
What you ask for is what has been going on in the JVM space for 20 years or more. At a lower level, LLVM is similar too.
If you can still edit the title, you could add "Show HN:" to the front to indicate it's something you made.
I tend to push things into tabs to read later. So I'd probably be counted as a bounce fairly often, even if the page was great.
In the US, selling weapons and internet tools is like making every day household items look like middle school. We still can't figure in that this stuff isn't a service. It's production. Something tangible. Gotta have parts. But service is easy to remember if you consider the person conducting their end of a service, that's between you two as them the representative.
>Like Hearthstone, MTG Arena has "unranked" modes, but like Hearthstone, the majority of rewards and design is meant to force you into ranked modes.

Is it that the game designers sat down and deliberately designed a system to get you to play more ranked or did the players demand rewards for ranked (or the designers anticipated such a reward)? I've seen the latter happen in an online game. The players in World of Warships demanded more rewards after seeing the initial competitive game mode (team battles). Eventually the developers gave it to them.
I didn't articulate my view on that fully; I do spend a lot of time thinking about epistemology and logic, and I trust a lot of people (though I'm not very trustful of most large corporations).

I was just setting that up to make it clear I was asking for evidence out of curiosity rather than passive aggressive skepticism. Generally if a media outlet reports something as a hard fact, I do believe it.
I'm not disputing this, at all, but have a weird observation about it that doesn't make sense.

I've been to Ft Worth a few times the last few years, and there have been protests about how police "protect and serve white folks only" each time near the area I stayed.

But what I can't get my head around is that nearly every cop I saw (near the protest or otherwise) was themselves a minority. So do we have a system where minorities arrest minorities at an unfair rate? Are the (apparent minority) white cops just arresting so many minorities that the arrest rate skews to minorities?

I have no theory on it, but couldn't help but wonder if better understanding what the people doing the arresting at (allegedly) unfair rates themselves look like would help find a path forward.
Machine Learning is about solving a task by automatically learning patterns based on examples and trying to generalize to new data. Granted, it's not necessarily the best approach to understand deeply how a phenomenon occurs.

You could use a black box model if you're more interested in predicting correctly images of handwritten digits than in understanding how the pixels relate to each other.

Of course, usually people want both accuracy and interpretability. It boils down to understanding what's more important for the problem at hand and making the compromises accordingly.
2 months old is usually not considered old news on this site... I think that their algo is buggy on year-change
By all reports of people who have set up their own mail server lately, just having SPF and DKIM set up still won’t cut it for delivery to the major mail providers these days.
Yes, except this study explicitly excluded the value of the house as an asset. I think the legacy of jim crow, continued racism, and slavery have just as much to do with it.

Redlining is also not over - a recent study found that when undercover black and white people went to the same realtor, 50% of the time the black buyers were given worse options or refused service.
Gophers can cast shadows just as well. And we don't give them our internet memes for free either.
>dent of genius

Sorry, the pedant in me (well, me) must point out it's "dint."
Show HN: Login with Apple to Firebase with SwiftUI Template and Tutorial
> They've been here longer than most whites (the great European migration happened right around the time the slave trade ended and that's not coincidental).

This sort of proves the point though. If the entire culture was born in America, it’s very young compared to the immigrant cultures brought over from Italy, China, etc.
As far as I know, there's no algorithm doing it. People put it in the title themselves, or mods do if they forgot.
Tech Companies Owe Us Billions of Dollars
I went to medium.com to read this article about the forthcoming collapse of Google, and I noticed that medium.com wanted me to log in using my Google account. I find this ... unconvincing.
I’ve heard about the black & white mental hack multiple times and finally tried it today after reading this comment. I like it already and have applied it to my computer as well. Not sure how much of the effect is real vs. placebo (or if that distinction even matters) but the reduction in stimuli seems to sharpen my focus.
Making irrelevant if-statements that reinforce bad science stereotypes and further confuse laymen is worse than noise. Imo
> How does that compare to others in this space?

It is quite significant. Ford is the biggest one I can think of with about a $1b each for Argo AI and Rivian. Toyota AI Ventures is only $100m.
I get it. The threat of being unemployed is daunting, especially when you have a family to provide for.

However, you're allowing them to take advantage of you and imagining consequences far worse than are likely to be.

Next time you schedule a phone interview, call in sick. Take the day off.

The next day walk in, say you're really sorry but you just couldn't make it into the office.

Unless you're completely of no use, they will not fire you. If you are of no use, you have other problems.

They have spent time and effort hiring you. They have spent time and effort training you (or at least paid you while you were learning about the code base). This is time and effort they would need to expend again if they fire you.

While Maryland is an at will employment state, there are federal laws that regulate the workplace and I'm pretty sure being fired for missing a single day of work would be good grounds for a wrongful termination lawsuit. (I'm not a lawyer though).

Additionally, you'll get about $1,600/mo in unemployment insurance if you do get let go for this reason. That should give you some time to find a new job..

If taking a sick day is too much for a first step, trying going out for a short walk and don't answer your phone. If they ask, tell them that you were on the phone. That should be the end of the conversation.
How to Avoid Shiny Object Syndrome and Stay Focused
Its not self contained...

https://github.com/MichalStrehovsky/SeeSharpSnake/issues/1
Latitude. Tropics become uninhabitable (anyway, unfarmable) by humans fairly early on. When the super-rich do finally decamp to New Zealand, CO2 output will probably be declining precipitously. A resulting new ice age would make refuge at high latitude ironic.
>The Yale presenter as an interesting interpretation of it, that it's not a protest against inequality. The monkey is not enraged that the research has a bowl full of cucumbers and grapes, it's furious that another monkey in a cage just like it, is getting grapes instead of cucumbers.

Well, it's still inequality. It's just not ine-quantity.

Each gets something different -- whether we perceive them as equal market value is not probably relevant to the monkey.
Reminds me of this Dilbert: https://dilbert.com/strip/2002-08-26
I share this sentiment.

It occurs to me that human decisions making can be either explained a very high level, or a very low level(neurons firing). But the magic in between is too complicated to draw direct lines between stimuli and decisions.

AI seems to be the same way. We have statistical models that explain how most everything works at a low level. That a simple math formula can approximate just about anything. How we arrive at weights that separate data sets in different dimensions and etc. For convolution networks we also understand how layer "decisions" flow through to other layers. But, it's too complicated to look at an image and explain exactly how the input pixels will result in a classification output.

I'm not sure how much I should care about that.. Seems like a problem for mathematicians/statisticians. Having the doctor explain himself gives me no more true insight into how his brain works than having somebody explain at a high level how the robot was trained and reacts in different situations.
This is a great point. There is a general lack of understanding about what it means for models to be interpretable & explainable. These words get thrown around often by people who don't understand the definition, and also the trade off with accuracy.

Some papers i found interesting on the subject:

https://arxiv.org/abs/1606.03490

https://arxiv.org/abs/1707.03886

https://arxiv.org/abs/1806.07552

https://arxiv.org/abs/1702.08608 (i found this was a good sumary of the issues)
This isn’t a recent trend, very common not just on HN but many, many communities of computer science.

I think it’s sort of like how a lot of people fetishize a party lifestyle in their 20s and age out of it often when they get more perspective and understand bigger picture priorities.
Do you mean like symbolic regression or algorithmic information theory based stuff?

If so, I'd love to get in touch, shoot me an email
That great discoveries are so often made independently by multiple people when their time has come suggests that if the theory is right, Great Men are a dime a dozen.

https://en.wikipedia.org/wiki/Multiple_discovery
Excerpt:

"René Girard’s most famous student did not take the threat of mimetic contagion lightly when he ran a company. When Peter Thiel was the CEO of PayPal, he tried to minimize mimetic contagion, possibly because the company was hiring a bunch of kids who’ve been socialized in elite colleges. Keith Rabois has recounted that as a manager,

Thiel allowed everyone to work on one thing and one thing only.

Rabois couches in terms of ridding distractions, but it’s clear that this is good Girardian practice. People will not feel mimetic envy if they cannot look at the work of others.

And:

"Thiel’s comments on management more generally are worth reading. The Girardian themes are clear if one looks for them: “If you were a sociopathic boss who wanted to create trouble for your employees, the formula you would follow would be to tell two people to do the exact same thing. That’s a guaranteed formula for creating conflict. If you’re not a sociopath, you want to be very careful to avoid this.”"
Talked with random startups.

They all took their time.

One that seemed promising rejected me over a botched take-home-project.

Another one didn't talk to me vor over a month, then cam suddendly back with a "yes".

All felt pretty uncertain until it worked.

After that I got better in those kind of interviews. Knowing what to say and what not.

At one point I started blogging and that helped with telling people what I know (just read my blog).

Now, I write articles as my main job, lol.
Medium sucks without premium. I don't know why they went with that route
That is exactly my point. Any x86 SMP platform since Pentium is built on the assumption that truly exclusive access is possible. For the shared FSB platforms that is trivially implemented by global LOCK# and K8/QPI simply has to somehow simulate same behavior on top of some switched NUMA fabric (and this is one of the reasons why x86 NUMA coherency protocols are somewhat wasteful, think global broadcasts, and incredibly complex).

For context: before Pentium with its glueless 2x2 SMP/redundancy support there were various approaches to shared memory x86 multiprocessors with wildly different memory coherence models. (And some of the “lets design a board with eight 80386” are the reason why Intel had designed i586 to be glueless and such systems are probably still used to this day, althought unsupported)
You're right .. this is an insane amount of money. Their total cash on hand at the end of 2018 looks like it was 26,800,814,000 [1]. And yet they spent a record $10 billion on a piece of land (3x the appraisal value) ~5 years ago. [2]

https://finance.yahoo.com/quote/HYMTF/balance-sheet/

https://www.reuters.com/article/us-kepco-realestate-hyundai-...
>It doesn't matter what the size of the blockchain is now (as long as it's within say 1TB that the average consumer can access).

Why does it have to fit on a laptop? Only miners influence which tx get into a block, not people on laptops.

>The problem that won't exist of billions of transactions?

Visa does 1 trillion tx/yr.
Bitcoin tx is ~500 bytes
That's just 500 TB/year. Miners with today's hardware can store that easily. A pruned observer node could run with just a few hundred dollars of hard drives even at Visa scale!

The bottom line is that Satoshi and others thought about this and no one saw it as a problem until Blockstream and other VC funded startups began pushing sidechains that they could profit from.
I think you referring to a Pan Am 707 landing at RAF Northolt in 1960 https://abpic.co.uk/pictures/view/1001607
This example is not too relevant because the overhead is probably the additional tools (e.g. debug, error handlers, etc), there should be multiple examples for a normal comparison, e.g. 3-4 examples of more and more advanced code since then maybe these numbers would increase in a similar fashion.
Books are totally worth it if they interest you. I’m living on a budget and my highest discretionary expense is books, so you know I put my money where my mouth is.

In my previous life, I had the misfortune of attending a Prussian style law school which lead me to compulsively attempt to memorize every text I’ve read for years, but lately I’ve found the joy of reading again. Here are a few tips that worked for me:

0. Books are just objects, don’t treat them with reverence.

1. Order every book as paperback that you come across and find interesting. Must read lists suck. Follow your interests.

2. Have a bias for older books. The longer a book has been relevant, the more likely it will stay relevant (aka the Lindy principle).

3. Don’t read books cover to cover. Start in the middle if that’s the most interesting part and feel free skip around. Put a book down immediately if it bores you.

4. Surround yourself with books. Make sure you can always pick up something interesting wherever you are. Messy book piles are a virtue.

5. Only use ebooks for fiction or tutorial type programming books.

6. Disregard what other people think and follow your interests. If books don’t interest you, that’s ok too.
> I have no idea what contemporary chemical explosives were extant

Only black-powder. Nitroglycerin, the first practical explosive more powerful than black-powder, was invented two centuries later.
The Army Beat Its Recruitment Goals This Year by Targeting Students in Debt
If it's a well behaving e-mail server it will keep trying to send the e-mail... A trick to stop spammers is to block all new connections for an hour. While spammers wont try again. Sadly some legitimate e-mail servers will not try again either :/
Also some e-mail servers wont try your backup e-mail server... Some servers will even give up if they haven't been able to establish a connection within a second. Some developers/admins give zero shit about edge cases and conditions outside their developer machine.
From the post I responded to:

> the scary thing is when decisions are being made that will affect a persons life but will never make it to the courts. Like the example of predicting loan defaults or parole releases, those decisions are made with little to no explination.

I was pointing out that it’s already like this. Whether it’s a black box ML model or a capricious bank employee makes no difference if there’s no transparency either way.
mozilla will collapse before google
That type of hosting didnt scale. You paid a flat fee for capped CPU and bandwidth.

Hosting today scales linearly in terms of resources and costs...

In addition you can hook up additional AWS services as your needs arise:

Add a CDN and deliver content to the edges, faster .

Add lambdas to handle regular updates to content, or basic authentication when users come in.

Monitor usage via Cloudwatch

Add in serverless API via API Gateway - and provides users more dynamic functionality.

Yes - the vendor lock-in is a major downside. Serverless isnt for everyone, neither are the big cloud vendors... YMMV.
If the company is trying so hard to keep you that they try to keep you from interviewing, why would they fire you or persecute you if you did do an interview?

The policy that you must be at your desk 9 to 5 sound like it is motivated by something else, e.g. a need to ensure that they can bill a government contract for all the hours in the day for all the "resources" on the project. The government contractor mindset doesn't so much care whether you a working as whether you are billable.
>> Interpretability obviously doesn't hurt accuracy.

Why do you say this? From what i have seen it certainly can and does. For some industries finding a trade off where the magic is.

https://link.springer.com/article/10.1007/s10664-018-9638-1

https://www.oreilly.com/ideas/predictive-modeling-striking-a...
It’s not a “guise” and not out of laziness.

It’s impossible to guarantee that the reason can’t get back to bad actors if you give that information out to anybody, so that information isn’t given out. If you can figure out a way, you’d have a bigger license to print money than Google and Amazon, combined. The problem is, rfc-3514 aside, there’s no evil “bit” and no way to tell if the person making a request is good or bad, or if they’re even the person who’s account they’re using. Don’t forget the possibility of an “inside job” either.

Sorry for the bad developer experience, but fighting all the various kinds of fraud is harder than it looks. Thankfully ML's made strides in this area.
When you go below 16 bits during training the gradient descent might become unstable, and there might not be enough precision for small weight updates. But for inference, 8 bits should be enough. It mostly depends on the model size and if there's enough learning capacity for the dataset. I suspect GPT2 1.5B is very overparametrized, so in the future it will probably be considered similar to VGG, which is highly compressible without any accuracy loss. I wouldn't be surprised if you can finetune GPT2 using only 3-4 bits for both weights and activations, with no quality loss. By 'finetune' here I mean finetuning for quantization, not transfer learning.
I can only read so much far-left death cult nonsense before rolling my eyes and closing the tab. How many cherry picked stats can you fit in one article? Look at the number of people removed from extreme poverty. Look at the price cliff solar and electric vehicles are falling off. Every "problem" is a hypothetical projection that I have no doubt will be addressed once they turn into economic problems. I'm not losing sleep about fresh water when I'm paying a fraction of a cent for a gallon. If I could talk to a person from the future 1000 years from now, my first question isn't "how many degrees did the Earth warm from climate change" it's "how many star systems have humans colonized."
I’m just curious if they, barring other circumstances, broke their legal textual contracts as well. A contract that just says “we can do anything we want” would fit your description.
I was also thinking "I hope this guy continues his good work, and lots of others join him."
The mention of salvage title on a luxury car is erily accurate as I know of three people who went down this exact path, only one of them managed to make something of themselves after decades of foolishness. The other two are still living with their relatives, unemployed, single and in their mid 40s!!
> I just gave you an example, taking my money elsewhere.

Why do you think that the state that accepts you would give you anything like the market exchange rate for the cryptocurrency to their currency?

The only way would be if they had a competitive internal market for purchase of cryptocurrency, but it's not at all clear that would be the case, since in this situation, you would need asylum (a service they would be providing to you) more than they need your cryptocurrency. That would come at a price.

You could try to play these countries off one another to get the best possible exchange rate, but really, you'd have to be stupendously wealthy in crypto before those countries would begin to care enough to offer you any kind of deal.
It's not a hack, although I can't really fault you for thinking otherwise. The borrow notations are & (shared) and &mut (exclusive, guarantees mutability regardless of type). 'Interior mutability' is a way of enabling shared data to be mutable. See https://limpet.net/mbrubeck/2019/02/07/rust-a-unique-perspec... for a more principled explanation, which even improves on Rust's official docs - this is probably best read in combination w/ OP's series.
We are using biophysics based approaches. Will send an email over :)
Windows is fine! It doesn't matter a whole lot, especially since you are still just learning. Make the most of what you have, maybe upgrade once you start to hit limitations.

Installing a version of Linux is an option but you are adding more complexity are more tools to learn. I think there is value in focusing on what you want to learn (python) and that alone. Good luck!
My experience attempting to optimize information intake:

-Many books are no better than podcasts or articles, and only leave you with a handful of takeaways.

-But the best books are fantastic and well worth the time/money.[1]

-Audiobooks are great if you integrate them into your routines. Think commuting, getting ready in the morning, exercising, etc.

-Videos (e.g., documentaries) tend to be the most informative per unit time for non-technical content, but there are far fewer of them for most topics.

-Re-reading/viewing the best content repeatedly addresses forgetting and amortizes purchase prices.

[1] This may not be a result of them being books per se; it could be more that the top .1% of content on any medium tends to be excellent, and reading books gives you access to another pool of top content. Though I've also found that many people who really know what they're talking about or have exceptionally interesting lives write books, not articles. This might be because articles are too short, they know that people will pay for their content, and/or they want the reputational benefits of publishing a book.
I totally see where you're coming from - in my mind I had something like a modern ARM microcontroller (STM32 and the likes) where the functionality is 99% internal to the chip. For example, adding an SD card or CANBUS interface to a project - not too much you depend on the customer for in that regard.

But then again I'm at this very moment doing a board bringup for a Tegra AGX system and I wouldn't advise anyone on doing that on a fixed price contract!
The serverless provider can go down just like the VM provider can go down, but the key difference is that it won't go down due to traffic bursts.

Auto-scaling helps, but it still takes awhile to spin up new VMs, and you'll have downtime in the meantime for sufficiently large bursts.

On lock-in, in my experience with any non-trivial infrastructure you end up tied to your provider anyway. You're still going to need IAM users and VPCs and subnets and provider-specific auto-scaling and all that jazz. Serverless lock-in is deeper, but either way switching is a big project.
In the case of purchasing coffee, your payment can make multiple hops (through multiple channels) to the coffee shop. This means you only need a channel open with 1 participant in order to be able to transact, and none of you need to trust each other.