skysight-inc/HackerNews huggingface dataset:
A decent explanation of the media genre is "radical breakdown of the social order combined with radical progress in technology". It is also an aesthetic inspired by cyberpunk media. It is also a mindset which is quite hard to define, but is definitely prevalent among certain subcultures.
They are native speeds, or at least so fast that they might as well have been. I was seeing > 60mbit in Germany.
A further reminder that just because something is technically public does not make it necessarily okay to broadcast it. We have a real problem in our modern world dealing with all the data out there and how it should be protected, or not. Used to be it didn't matter much because you'd have to go down to the courthouse to get detailed information. Now it's being data mined, collected, aggregated with 100s of other sources, and sold. Yuck.
I'm not sure I get the 'enormous power' part. Most of the time in my experience the power comes from understanding the subtle first so you don't waste your energy or hurt yourself.

The notion of timing in a group of people is one very magical thing. I experienced it only once (the only time I got to play with other people) and it's hard to describe in words.
On the one hand, yes, the No Free Lunch Theorem seems to intuitively rely on the set-theoretic definition of functions, rather than building on a constructive foundation to hypothesize that functions which are "physically harder", in some sense, are less likely.

On the other hand, algorithmic probability requires first defining a Turing machine, rendering the Solomonoff Measure defined only up to a specific programming language, which can bias it some arbitrary amount. That's on top of the Solomonoff Measure itself being incomputable, and so utterly useless as a foundation for real-world machine learning and computational cognitive science.

I agree that positing a Bayesian prior on functions/programs/causal structures gets you around the No Free Lunch Theorem. The question just then ends up being: what sort of hypothesis space, and what sort of prior, sufficiently resemble the real world (the data-generating process) to allow for learning from a given data set? That's a matter of science.
What % was spent on revenue; a while back it came out that drug companies were spending more on marketing than on R&D whilst arguing they needed special protections because of the high cost of R&D.

A low profit company, charging a distant lower amount for probably rely on word-of-mouth + news features to some extent.

Also, you can save a lot by not paying shareholders and C-suiters massive amounts.
This is actually meant for companies like ours. We have a very spiky workload (need massive throughput needs and then nothing happens for rest of the day). The current auto-scaling doesn't work since it takes time to scale up and you are limited to only few of those changes per time period. We ended up setting the throughput high to avoid that. Also people in company set up these high throughput on dynamodb and we end up paying thousands of dollars more before this is discovered. I know we can write lambda's to automate the detection and all of that but that is too much work. This feature is ideal and will drive our costs down a lot.
Does the linear time hold up in the face of capture groups? For example, say you have a bunch of capture groups in a loop:

/((a)|(b)|(c)|(d))*/

If the string has length N, the loop iterates N times, and each iteration must clear capture groups proportional to the length of the regex. So in this case the time varies as the product of the input and regex length, not their sum independently.
https://aws.amazon.com/new/reinvent/
Pick a starting point then write a lot of comments.
It's not even 'building' one, it is literally just buying a commercially available FDA approved autoinjector and a vial of epinephrine to load into it.

It is really strange that the FDA is totally fine with diabetics buying vials of insulin and loading their own autoinjectors, but doing the same thing with epinephrine is apparently extremely dangerous and the FDA doesn't want you to do it[1].

[1] https://www.in-pharmatechnologist.com/Article/2016/09/22/US-...
>I don't really understand why all these groups are around race, sexuality or gender. This seems to me the opposite of diversity. In my view there should be groups around interests instead.

I don't see why a reason why you can't have both?
It had the best version of MVC2. One of the best/crazy fighting games ever made.
I'm surprised to see this - I thought Azure On-Prem would have this market to themselves, to be honest.

This will be the death of a lot of the smaller virt/hybrid cloud business models, I suspect.
I did, I wrote lots of tests and stepped through it with a debugger to get a handle on it.
1) Get it to run in a test/local environment.
It's just because Amazon's ReInvent conference is happening right now, so there are plenty of product announcements happening that are relevant to the HN community.

The same thing often happens when Google, Apple, Microsoft, etc. are running their big developer conferences.
Detroit. It's not free anymore but it's still dirt cheap.
Not really a new idea - very much a me-too of Azure on-prem, and still quite a bit behind them. I'm more surprised that they were able to run this politically.
Houses are generally not being given away but there are tons of places in the US where housing is dirt cheap compared to prime coastal urban real estate.
This is absolutely it. MBTI is garbage, but since I've always consistently tested INTJ, when they start personality-testing doors start opening.
It'd be an interesting blog post topic to look at how AWS:Invent (or I/O, or F8, etc) product threads on HN compare to actual product impact. I remember Rekognition getting decent discussion 2 years ago [0], but not along the angles or magnitude of how Rekognition is usually discussed in recent months. OTOH, other things I've been interested in as a data geek, I've barely heard of since reading about them on HN -- e.g. Athena [1]

[0] https://news.ycombinator.com/item?id=13072956

[1] https://news.ycombinator.com/item?id=13072245
So going from 0 people, to 1 person (me) should help them out :D
Yes but I guess the point of using time series DB rather than just a lake that doesn't necessarily have a time structure is that if you know time is going to be important then you probably want to organize and query it that way.

What I am doing with one program could almost be called a data lake because it is just a bunch of JSONL files that have really varied data in them. But it's organized by date and hour per day as well as predefined keys, since I know I will need to query it that way.
Why do you "need" female candidates? And why, in general, do you have a desire to "interview some women"? Why do you view your candidates by group association rather than as individuals?

I don't understand why, if you have a bunch of resumes, do you seem to be holding out for some female applicants. Why not just interview the ones that seem like the best options and choose the best person for the job, regardless of their gender and how many qualified female candidates you have (or don't have)? You don't control who applies to the position.

Also, why would a missing email be an automatic no if they included another way to reach them using a standard method of communication? Or are you saying that they included no way of reaching them and you had to somehow locate a phone number for this person?
I've seen programs like these where you have to live in the house, which is a good solution.
> I also don't have much interest in management/directing, though your statement probably applies to individual contributor roles.

Interest aside, being qualified for those types of roles would raise the bar for salaries for individual contributors because both types of positions are competing for the same finite labor pool.

> It's more of a feeling of "I don't feel like I deserve this level of success when I didn't go through the proper steps".

The question, IMO, is whether or not an employer will feel the same way about you at some point in the future.

I think this applies to those who have a degree as well. Ivy league school vs state school. #1 ranked school vs #2. It's all relative, I suppose.
Many times. Usually it wasn't a whole system but a component or library licensed from someone else, where "someone else" was unresponsive or out of business. In one case, the guy who'd written it used to go on month-long wilderness expeditions during which he was completely unreachable.

The solution almost always involved a certain amount of reverse engineering, and damn sure I always tried to advocate getting away from software we couldn't maintain effectively. The third leg of that tripod is isolation. Reduce the number of things that depend on the code, and the number of ways that they use it. If nothing else, that will reduce your exposure. It will also tell you what code paths are important to understand and which are not. Finally, it can help guide implementation of tests, or of a replacement.

If you're really stuck with such a piece of code, some of the advice in a blog post I wrote about a similar challenge might apply.

http://obdurodon.silvrback.com/navigating-a-large-codebase

That's about learning a codebase that's notable mainly for being large, even if the original developers are as available and helpful as could be, but looking at it now I see quite a bit that applies to this case as well.
> Is it really a gender role ?

Yes, it is really a gender role.

> or, a genetic adaptation - with females being attracted to more successful men, because it helps give their children helpful resources ?

You are presenting a false dilemma; that it may be, in whole or in part, a product of genetic adaptation does not impact whether or not is a gender role.

The debate you seem to want to have is over whether gender roles are pure social constructs or not, which may be an interesting debate but isn't actually all that germane here. The gender role in question exists and contributes to the effect under discussion and is manifestly changing, though slower than some people might prefer.
Based on all the images on the product page, can SOMEONE please tell what which side is the front of this car? The side with the AWS logo looks most car like, but the logo makes it look like it runs with the black side first.
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Unless the drug in question is a controlled substance, it's only illegal to sell Rx-only medications, not to buy them. On the extremely rare chance customs confiscates your shipment (which in practice only happens one week a year, during Operation Pangea), all that will happen to you is that your package will be empty.

I'm not linking them here (just because I don't want to get YC/HN in trouble), but there are a number of highly-reputable online pharmacies in India and Vanuatu that sell non-controlled medications and ship to the US. I haven't checked whether or not they sell EpiPens, but I wouldn't be surprised. I'm aware of them because they are very popular in the transgender community due to high barriers to accessing medical care by legitimate means.
Have you considered columnal databases like 1010data?
Doesn't seems to be attractive price-wise.

Quick math (us-east-1 North Virginia, reads, strong consistency):

1. Provisioned:

$0.00013 per RCU

1 RCU provides 3,600 reads per hour

0.00013 * 1000000 / 3600 ~= $0.036 per mln reads

https://aws.amazon.com/dynamodb/pricing/provisioned/

2. On-demand:

$0.25 per million read request units

https://aws.amazon.com/dynamodb/pricing/on-demand/

So AWS on-demand is more expensive if your read utilisation is higher than 14.4%. Not that exciting for any serious use-case.

Plus you can reserve DynamoDB capacity for a year and save ~56%:
(30 + 0.0025 * 24 * 365) / (100* 0.00013 * 365 * 24 )
That runs into a different problem, which is that lists tend to make for lame discussion. Since it isn't clear which specific item to discuss, the topic ends up being the lowest common denominator, which in this case would be Amazon or AWS in general. We don't need another thread about that.
> FDA regulated drugs often operate on a production quota system where a given company is only allowed to manufacture a pre-approved amount.

My understanding is that this only applies to Schedule I and II drugs.

The Epipen, along with most other pharmaceutical drugs, do not fall under those categories.
That’s silly and dangerous. The prospects of a black CS grad getting a job are extremely high. Why wouldn’t it be?
Curious why this wasn't asked during his talk. Aren't +/- knockouts valid knockouts ?
Wondering if there is a corpus of "stop-phrases" like stop-words which will include gems like "passionate about software development", "good communicator", "truth-seeker" and the likes.

It might be interesting to do a basic pre-processing of the JD to remove all such stop-phrases before evaluating the role being offered.
Ya, i've been saying something like this for a while. China, for instance, is uniquely invulnerable to this sort of attack. Because the state is already in charge of censoring information, it is much more difficult to flood them with misinformation. It's one of the many reasons i'm concerned that models like Chinas will actually flourish more than they otherwise would in the coming years.
Unlikely. Garage doors have safety mechanisms that will reverse or at least stop a closing door if there's an obstruction.

My guess was that he jumped from the roof, and was found by the garage door. That would explain the blunt force trauma.
In many industries list prices don't mean anything at all, because the real prices are created through supplier sheets of terms.
Most of their margins are value added services not hosting. This actually takes the capital expenditure off their plate so they can focus on the high margin services.
Every time I get into my Porsche I'm reminded of how bad the project is.
I'd guess it's just people reacting to financial incentives.

It's a bummer that our society is structured with financial incentives that are so poorly aligned with interesting goals.
Maybe a little more clarification? When you say that nobody on the team can understand it, are you primarily talking about code complexity, code style, or language?

Many years ago, I became the designated maintainer for a legacy inventory system that was used for internal audit purposes. The system ran on a PDP-11/70, and was written in a combination of Basic-Plus (this was a long time ago) and COBOL. I only had a passing familiarity with either of those languages. I find the challenges of learning a code base usually boil down to a few recurring problem areas:

* Problem domain knowledge: The system was used to track leased telecommunication facilities, and had a lot of obscure business logic built into it. At least half the challenge was reverse engineering business logic from the code.

* Coding style: I always find it challenging to get comfortable with another developer's style. Mismatches in assumptions/preferred approaches can make it really hard to get comfortable with someone else's code. This particular system had some truly weird programming choices, including a "screen driver" (similar to curses) written in COBOL.

* Code complexity: I was pretty lucky that the code was not very complicated. With all the other challenges, if the code had been complex it would have probably been an impossible challenge.

* Language knowledge: the original developers had used some features of Basic-Plus and COBOL that were a little obscure, which made understanding the code base that much harder.
I note that AMD's ARM chip came out not long before AMD must have found out internally that Zen was very good performance-wise. That's probably why they stopped working on it. Why compete with yourself?
What kind of restrictions? Isn't a VITA data stream broadband SDR data? The entire radio implementation would seemingly be under the control of the client.
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Bezos and Musk Will Both Be Trillionaires in the Space Internet Age
These days Gambit/Gerbil are a much more pragmatic Scheme.
Database Backups – Comparing MariaDB Mariabackup and Percona Xtrabackup
even if you don't relate, other people have different desires and motivations and it's worth trying to understand that (for social harmony at the very least). you seem to want quiet and solitude in public places, but that's just not the norm. rather than distracting, i find cafes ideal places to work, as they have the right amount of low-recognition distraction (unlike home, where things are too quiet and my bed is so inviting).

you also seem to be looking at things negatively. here's an alternate view:

- you don't have to buy something on a timer.

- - get to know the owners/workers, and they'll enjoy your visits, no matter how long. most of the cafes i visit love it when i bring my dog for instance.

- - if a cafe is (nearly) empty, you sitting there provides natural marketing for the cafe in the form of social proof (no one likes being the only person in a business). i usually leave when i notice it getting full so others can enjoy it too, but if it's half empty, i have no qualms staying for a while without the pressure of buying something on a timer.

- stupid conversations are easy to tune out; interesting ones are the hard ones. at the very least, it feeds the superiority complex nicely.

- dogs are bundles of joy and love, and make (most) people happy.

- again, get to know and show interest in the owners/workers and develop rapport with them. they may even give you free stuff.
Saying "I'm sorry, there's nothing you can do to make these problems go away" would cause me to give up on the interview process and look else where. I can't see a benefit for the company to let the interviewee know what is going on behind closed doors.
Yes. It was a vital subsystem in a Smalltalk program. While most of the project had passable Object Oriented organization, this one subsystem had zero instance methods and zero instance variables. Instead, it was copy-pasta after slightly modified copy-pasta of these long methods that called each other recursively. Each one of these methods used a "merging" style algorithm that incremented 4 indexes into arrays, all the while executing deeply nested conditional logic.

There were some smart cookies on the team, but we were all in fear of this code. The person who wrote it spent her days sitting in the cafe downstairs, reading novels. She'd check some logs, and occasionally come and yell at us for doing something wrong, which she would never explain. It turns out that the system had objects, but they were all embodied by consecutive spans of entries in those arrays. We went on a trek through the bowels of this corporation, asking around for documentation of the 3rd party software that used those sequences in those arrays, but no one had it, and that company no longer existed. If you tried to explain to her that Object Oriented code would have instance methods, she'd always bring up her PhD in math.

A coworker of mine spent a week charting out one of those methods, and managed to rewrite it in 1/6th the line count, with no errors. However, that didn't really help, as it still implemented the same weird merging algorithm.
Yes, so far as I can tell. While I wouldn't personally call that text ambiguous, it is poorly worded; the "only" from "will only be guaranteed" would be better moved to make the third sentence in your quote start "Previously we only guaranteed[...]".
Definitely consistent with my experience. One time I was in a restaurant where this sort of arms race dynamic was occurring, and at some point a guy just did one of those really loud two-fingered whistles, then in the resulting silence said something like "let's all try to keep it down in here". It worked incredibly well, and the effect was actually very persistent.
This is a devil's advocate argument, but the difference is between one person who routinely uses the drug versus another who may go for years before needing to use it in an emergency situation.

The EpiPen is designed to be used with minimal training. A diabetic who injects themselves regularly with insulin is presumed to have the skill to do it without screwing it up.
The best CL implementations unfortunately are not opensource.
There is still a large use of Lispworks by many heavy CL developers. And anyone who has used it knows what they have to offer over the opensource equivalents.
Support is something well worth its cost.
Plus in production things tend to just work on Allegro and Lispworks. They tend to bench well for the things we need.
http://ftp.linux.org.uk/~ober/report.html
AWS Sagemaker Neo – Train models once, run anywhere
I would assume that one of the value propositions of having many ground stations to choose from is that one could simply rent one that was closest to the next flyover.

So I'm curious what factors you are thinking of that would not make sense as part of the service offering but would be needed by would-be customers of the service?
I think it's perfectly permissible for different cultures to value different careers; I believe the argument is that there shouldn't be any other imposed barriers (ex: due to discrimination) for them to re-calibrate their value system and have the option to pursue other things.
> We all know what you're implying

Implying? I was being explicit, if general because I was referring to a broad class of phenomenon. If you think I was using code for something narrowly specific, you are mistaken.

> but you're making that statistic up.

I'm not presenting a statistic, made up or not.
Why should adrenaline shot be so crazy expensive? Nothing about it sounds complicated.
like I said, stupid/mundane conversations
It's important to note here that it's not the chip which has to be cheaper, but the whole setup. If a arm chip is 1/3 of the speed, I need three cpus, three mainboards, three switch ports, more ram (because I have to run three OS instances) etc.
From the "methodology" section of this post:

First, we randomly sampled 6,348 applications for 668 different users from TalentWorks. Then we extracted the qualifications from the original job postings and the users’ submitted resumes using proprietary algorithms. Finally, we grouped the results based on qualification match and regressed the interview rate using a Bagging ensemble of Random Forest regressors.

This is... not plausible. Effectively, they're trying to infer causality here, not merely do prediction. That has to be the case, because this is presented as useful advice---to go ahead and apply even if you don't meet all the listed qualifications. But when you're trying to infer causality you're doing social science, not data science, and that means you need to worry about omitted variables.

Here's an example: what if less qualified people who nonetheless apply are more confident. And what if that confidence is associated with other good things that show up on resumes, like attending prestigious schools, having had prestigious prior jobs, having a record of success in some other fashion, or even just doing things like paying careful attention to formatting?

This is why social scientists use tried and true techniques like old fashioned OLS regression with control variables rather than throw everything into a random forest and see if the hypothesized association standing on its own predicts things.

(Insert remark about how companies should be hiring data science people with science backgrounds rather than just pure cs backgrounds here)
As someone who has really enjoyed reading Mickens' highly-caffeinated essays, I was pleased to see that his speaking style is even better!
I thought that young people were just smarter? /s
Not in the US myself, but this is a US discussion: https://news.ycombinator.com/item?id=3772897

While technically not always illegal, giving an IQ test is a minefield for HR and that's why almost everyone avoids it. It all boils down to whether it is required for the job or not, and whether it would discriminate against someone who could otherwise do the job but fail the test.