skysight-inc/HackerNews huggingface dataset:
Huh, I'm less doubtful of this than I thought I'd be. Tower cranes are apparently surprisingly low-maintenance. I assume this is because they have to actively participate in their own disassembly [1] and major breakages are super difficult to deal with because they're at altitude, so they need to operate reliably enough that they can always take themselves down at the end of a job or if they need a major repair (cracks found in main pivot ring, etc). Concretely (pun not intended), I found a document [2] saying that 10 tradesmen and $35k/month in parts (together a bit more than $1m/year) can keep a fleet of 70 tower cranes (15 metric ton lift capacity each) at ~80% utilization over a one-year period. So, yeah, I'd definitely believe that you could run these things at the quoted price.

1: https://www.youtube.com/watch?v=Nww6MN_Lxeo&t=24s

2: Annex 9, "Example of the Use of Key Performance Indicators for Maintenance", in this PDF: https://www.mantiscranes.ie/wp-content/uploads/2017/01/CPA-T...
Lets not weasel with 'typically'.

The code that will get called for a multiply is this https://github.com/scipy/scipy/blob/master/scipy/sparse/spar... and https://github.com/scipy/scipy/blob/master/scipy/sparse/spar...

It's important that decisions at the python level trickles down to the correct choice when it comes down to this level.

On a 64 bit architecture one would expect that using 64bit int arrays for indices and indptr would ensure that. But thats not the way it works. We regularly encountered cases where it would call the code corresponding to int32. I know why and have special checks and jump hoops to prevent this.

Thats besides the point, with static types I wouldn't need to do this, the compiler would take care of it.

I appreciate your effort to dig through the logic. You have spent time speaking at length in the comment above but unfortunately said little. Malloc has nothing to do with it.
Your third paragraph is manifestly false. Why do I say so ? Because I deal with this everyday and have counterexamples.

I didnt mean to ask you to find out. Apologies if I wasted your time. I already know why the type mismatch happens. My point was to demonstrate that a lot of manual wading is needed to ensure that it finally bottoms out by calling native code with correct type.
Going FLOSS-only on Android
No. All questions are optional and typically studies only filter on 1-3.
We realise there’s a too many there by default and we’re working on staggering the demographics more.
They can store (not generate) 20 MWh at, according to the article, a cost of $2M. The article does not discuss how much power they can produce using one unit. That means it would cost roughly a trillion dollars to build enough storage to power the entire US for a day [1]. That's a lot, but you wouldn't need nearly that much, since daily consumption is still roughly balanced to production. You could think of that as an upper bound on the cost of backing the entire grid with this tech, assuming their numbers scale perfectly and are entirely accurate.

Almost everywhere has a lot of unused land, even in densely packed countries like Japan. If it's not good for farming, forestry, or leisure, it would be suitable for this sort of use.

[1]

- 3.8e12 kWh/y electrical use in the US.

- 1e10 kWh/d

- 1e10kWh / 2e4 kWh/unit = 5e5 units

- $2e6 / unit * 5e5 units = $1e12
Why is Facebook in trouble for this and not the persons who actually placed the ads? They aren't the ones renting the real estate. They don't own it. Government overreach imo.

Edit: grammatical mistakes
Facebook addiction linked to staking your self-worth on social acceptance
A great effort was untertaken to wean kernels from relying on regular ticks[0][1]. This benefits power consumption on mobile devices but also makes it easier to dedicate some cores 100% to latency-sensitive tasks.
Specifically on windows applications have been optimized to make less use of the QueryPerformanceCounter API because it causes the kernel to wake up cores more frequently, again increasing power consumption. Browsers also clamp the frequency of timer wakeups in background tabs to reduce wasted CPU cycles.

A javascript in a browser waking up once a second doesn't matter much. But hundreds of browser scripts and smartphone apps all waking up once a second at different offsets effectively means waking up every few milliseconds.

[0] https://lwn.net/Articles/549580/
[1] https://en.wikipedia.org/wiki/Tickless_kernel
Because the wooden backing of the Japanese method was used across the board for conservation of most asian silk scrolls because it lends itself very well to conservation and preservation of the piece while also allowing display in museums.

The trade off between this method and keeping the scroll in unmounted silk form was between having a more stable backing for the scroll itself to aid in preservation at the cost of removing the scroll's ability to be bent.

The concern for this scroll specifically was that this scroll was unevenly decayed, had numerous repairs in the past and constant continuing repairs would be needed to mitigate wear and tear - frayed silk ends were already an issue. The standard method of dealing with this issue is remounting, and evidence indicated this scroll had been remounted numerous times in it's history.

The museum decided to affix the scroll and apply a form of sealant, after remounting the edge silk sections (which they literally brought experts over from asia to do). This was done to remove the need to repaint and splice sections in (which was the traditional method of maintaining the piece, but which obviously changes it over time) and mitigate future damage to the piece.

TLDR: just read the link I posted.
Wow, I never really realized how good our current chemical battery technology is at being extremely dense.
I got a master's degree in history by bailing on a PhD program after the second year. The Reddit post you linked is spot on.

I left the degree program long enough ago that some of the people who started with me have finished their PhDs, although many of them still have not, after nearly a decade. Of the ones with PhDs, the only ones with decent jobs are the ones who work outside of academia. The others are adjuncts, and some of them qualify for food stamps.

The thing about getting a PhD is that you defer all of the income and career opportunities many people have in their 20s. By the time you graduate, other people your age have already paid their dues in entry level jobs, got promoted, bought cars and homes, been able to afford travel, and saved money for retirement. When you graduate you will be a decade behind everyone else in that aspect of life.

The only reason any rational-thinking person would make such a sacrifice is if the payoff at the end could make up for it.

A STEM PhD opens doors to a lot of jobs in the private sector. The only door opened by a humanities PhD is a chance to compete in one of the worst job markets in the world: academia, where there are several times as many new PhD graduates as jobs every year.
I’ve switched to Amazon Prime. Not better. I might try the other competitors soon, but all in all, only Torrents have a decent catalog.
Sure, but if you think the law serves a purpose, then one may ask whether being technically compliant is success.
I find those to be distinctly different qualities even if the end result is similar. The distinguishing factor is: Who is performing the discrimination?

In one example the discrimination is deliberately performed by an ad supplier. In the other example the discrimination is performed by the audience of the offline publication. I come to this conclusion because it is the audience that is choosing which demographically targeted publications to purchase or read. People cannot legally discriminate against themselves.

That distinction is also a paradox for Facebook. You cannot be a supplier to everybody and simultaneously to a targeted individual as chosen by individual's inputs. Facebook tries to have both sides of a coin by allowing users maximum flexibility in content preferences and also provide that power to ad suppliers to use for precision targeting.
Craigslist doesn't take down "Seeking roommate: female ONLY" because those ads are not illegal.

https://www.craigslist.org/about/FHA

>Federal Fair Housing laws prohibit discriminatory advertising in all housing, regardless of how large or small the property. However, as discussed below, advertising which expresses a preference based upon sex is allowed in shared living situations where tenants will share a bathroom, kitchen, or other common area.

>Shared Housing Exemption -- If you are advertising a shared housing unit, in which tenants will be sharing a bathroom, kitchen, or other common area, you may express a preference based upon sex only.

I HAVE seen Craigslist take down apartment ads that list religious preferences.
Well I would be happy to provide some context.
I just finished my first year of CS Phd in ML (more on the theory side) and I really like it. I think most of the places you would want to do a post doc in CS are probably going to be moderately high CoL. My phd is in a place with pretty low CoL (but a still a top 10-top 20 school (depending on who you ask) ) so the graduate stipend goes reasonably far.

The other thing to note in ML is that it seems like a few people go to industry research labs for a few years i.e MSR/FAiR/google brain and then come back to the academy since there are industry roles that involve research and publication. for instance moritz hardt.

my personal plan for the first 3 years of grad school is to work really hard and try to keep both academia and industry open and after year 3 evaluate the number of publications I have and my current skill set to see if I can make it in the academy or shift more towards industry.

I think the biggest factor I would comment on is look very closely about what jobs the graduated students from the department you matriculate at AND more importantly the professor you want to work with go on to do post Phd. There are a lot of naysayers in this thread about the risks of an academic career and I share those concerns but I felt a lot more comfortable taking the plunge after I looked at the career record of the graduated students of my advisor. They were all either tenure track or had good industry positions.

edit: if your advisor has collaborators in industry groups I think it is pretty straight forward to get an industry gig.
Luckily, Skype is nothing I need to use. However, I would miss applications, namely Sketch. And I’d need to run Windows in a VM.

I am also not sure about the build quality. Despite the keyboard, MacBooks are very well designed and built devices.
They didn’t have it in the UI. There is nothing inherently difficult about browsing reviews on a mobile device. Millions do it every time they’re about to download an app. There is no option to read reviews given to effectively 85% of their viewers. That was their design decision. And now they’re citing review usage numbers when their design decisions promoted low review usage numbers. They’re providing a circular argument which implies that it is not the main reason.
As little as 5 years ago I was being asked to do many skype interviews. For one such interview, I was out of town visiting my mother (who was fading away from Alzheimers). I wanted to present a professional appearance, and my step-father always wore white collared shirts to work. I borrowed one of his shirts, and ties, and while I was speaking to the interviewer, he made a comment about how he appreciated that I "dressed professionally" for the interview, even noted that he hadn't (he was in a t-shirt). He said that most people didn't dress up. I am quite certain that the skype style interview was used for the same reason as expecting a photograph attached to the resume back in the day. I.e. to screen for age, and other factors like ethnicity.

Further, not more than 20 years ago, when I went to many interviews in person in Salt Lake (a very conservative town) I was asked about religion, at a car dealership where I was trying to get a job as a car salesman. I had a second interview at a bank, and when the interviewer saw a tiny diamond chip in my ear, told me to turn around, that he wasn't interested, and I was on my way. I was told that at a high-class tourist restaurant downtown that they didn't hire waiters, as they only had waitress uniforms, I was told at a grocery store in Ogden, that I couldn't be a cashier, as they only had women's uniforms for the cashiers, men/boys would only work as box boys.

As little as 8 years ago, I was told I was a bit old to keep up with walking around a college campus to perform the work on desktop PC's in a timely manner. (I was 48 at the time). I have been kept out of many positions due to my current age at this point, regardless of my mental abilities, and the fact that I had most definitely kept up with the current levels of technology as verified by my current Microsoft, and other certifications.

So yeah, discrimination is alive and well in the greater U.S. and we are screened via a multitude of forms using technology, or personal interviews, or whatever is at hand.
That's true, also at this point a pretty substantial percentage of social security numbers have been leaked (perhaps all of them, not every hacking victim goes public).
I don't know, my current experience is that the system lacks content I want to see and there's no easy way to import that. It's just my honest opinion about the system in the current state.
WTF is git?
An Entrepreneur’s Guide to San Juan, Puerto Rico
The only difference seems to be that we don’t have state media - our outlets are just as happy to claim Chinese military exercises are “practice bombing operations” against the US, and that a Russian plot exists to destabilize our democracy and hack our voting machines.

Our official sources are happy to demur, as they have around claims of sonic attacks - we are still “investigating” and “analyzing data”. We officially keep the claims at arms length.

We’ve figured out that a public-private partnership makes better agitprop.
Retrain a MobileNet model and use it in the browser with TensorFlow.js
I would hope that the scoring differentiates between core CS knowledge and skills vs. details and trivia of web development, as well as any other categories of questions. That way, the exam is useful for multiple hiring philosophies, and the hiring manager can decide how much they care about specific types of questions. After all, different roles at different companies have different needs, and I'd hate to have a biased scoring algorithm take those decisions away from a hiring process.
Higher structural costs presumably. In the idea presented here you only need to move a small amount of mass at a time, so you don't need an especially strong crane.
Thanks, yea I meant store. Fixed.
> 125 million paying subscribers

And, for any given subscriber, only ~15 quality movies and ~25 quality series (although only seasons up to 2 years ago, I’m looking at you, Sherlock).

It might be harder than expected to recommend « what to watch next » using artificial intelligence or statistics, when you have to rotate on max 50 items (and less than 8.000 per country, counting every episode of every show).
Why would you use a large number of small blocks to build a tower instead of one extremely large block on vertical rails, with appropriate devices to create sufficient mechanical advantage to move the block?
So is LemonBox basically a daigou in startup form? I’m not sure what their advantage will be vs. the very numerous amount of small players that already do this.

I also wonder if they misunderstand the vitamin market in China. Whereas it is mostly bros looking to buff up in the states, in China, you buy them abroad to show your elderly parents/grandparents you care for them. But maybe my views are outdated?
There are substantial thermodynamic challenges to scaling compressed air energy storage. You either need to perfectly insulate the pressure vessel or perfectly cool/heat the air as you compress/decompress it via passive radiators.
Yep, and that was always the advice from the React team. "Don't use legacy context directly in your apps. Libraries may need to use it. If you _need_ to use it, wrap it up in a HOC or something so that you can update it in one place later."
Might come down to things like, how efficient are cranes & conveyors & so forth, vs water pumps & hydro generators. The nature of each material leads to different techniques which could have very different efficiencies.
I was thinking the same but with chains or some heavy contiguous body. The problem is that you need something that can lift one super heavy load, as opposed to many lighter weight ones. I guess that's what you mean by hydraulics but then you need hydraulics
> I find using async await leads to a lot more simpler and understandable code. Moreover, one can stick to the try ... catch semantics.

> It's also a fewer lines than promises and the then calls with the anon functions.

Promises + call with anon functions is still asynchronous code. I'm wondering why not just use easy-to-reason-about, easy-to-read synchronous code for something like this rather than messing around with async/await.
Regulator land grab imo. FHA is intended to regulate the owners of real estate. HUD shouldn't be in the advertising regulation business.
Companies who treat potential candidates unfairly eventually tarnish their reputation. You don't design your process for the single outlier crazy person and then treat everyone like they are potentially crazy or liars. You treat everyone with respect, that's how you build a reputation. Respect includes respect for their time amongst other aspects.

Presumably this is partly why hiring is expensive. Not that I'm sure it's really that expensive in the big scheme of things. The problem isn't the process being difficult per se, it's the process having poor predictive power.
Not everyone will stop watching a bad movie midway through, even if they don't like it.
Because a block on the top of a tower of blocks is way more stable than a hanging block 100x heavier.
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Only if he didn't want to stay. Apple has a history of keeping around the CEOs of acquired companies and Musk would be the best they ever got.

Just because the peanut gallery is on the Elon Musk sucks train doesn't mean everyone is. Tim Cook isn't going to be swayed by a popularity contest.
They may as well make the concrete blocks in the shape of cups. Open a drain hole when the cups are on the ground. When the cups are on top of the towers, let them fill with rain.
How is watching a movie or a clip in a browser on full screen not highest possible quality experience? What is gained from not watching in a browser?
Previously discussed: https://news.ycombinator.com/item?id=11595195
Thanks for the context. That sounds like a good plan to me regarding post-doc locations. I am also interested in theory side of ML. What areas of mathematics should one learn really well that apply to the theory side? What blogs, papers, books would you point one to to learn the theory side more? To your knowledge are their applications of abstract algebra to ML? If so, what areas of algebra apply & what problems do they solve?
Hmm...when taken out of context, I would totally agree that "try to think for a second" appears uncivil. But taking it out of its context seems...less than charitable.

The context was "... Which do you think is more likely: (a) ... (b) ...."

So it wasn't "you @#$, can't you even THINK for a goddarn second?!", but "hey, when you take a moment to consider, which of these do you see as more likely", which I have a hard time seeing as uncivil.

Of course, your site, your rules and your interpretation of those rules. ¯\_(ツ)_/¯
I think you are referring to https://www.joelonsoftware.com/2004/06/13/how-microsoft-lost...
I have last years T470P (the i7-7700HQ/2560x1440@14" model) and it's phenomenally good with 32GB of RAM and an m2 SSD it screams, enough that I delayed my new development desktop at home from July last year til Ryzen 2 next year.
I just used this method in my house with great success!

Turns out i have zero stairs.
> No one has come close to solving recommendation.

What if it isn't solvable? To me it doesn't look like there is enough room to maneuver, at least not in things like movies and TV shows, I think in music there might be. Say a recommendation needs to fulfill the intersection of 2+ things the user likes to feel like a recommendation, for example "you watched space and romance movies, here's a romance in space" otherwise it's just "you watched some space movies, here are some more". I don't think there are enough movies in existence, especially once you apply common criteria like "isn't in a foreign language, isn't on another streaming service, isn't very old or low budget" for these intersections to be filled with more than one or two items. In the space romance example above, the sole example I'm aware of is Passengers, there may be one or two others but it's not enough that you aren't going to deplete the pool even watching casually.

That only leaves extrapolating completely new things I might like based on more general patterns, but that falls victim to the same issue. If you know that I liked Passengers (already difficult without explicit feedback, watched does not mean liked), you have no idea whether I liked it because it had Jennifer Lawrence in it, or because of the tone, or the presentation, or the theme, or any other facet of it. And I only watch tens or hundreds of movies, not the thousands or ideally millions necessary to isolate the fact that I like movies with one very particular tone very slightly more than other movies.
Excellent points -- this is something we discuss extensively. After talking with so many employers, we found that each of them look for something different.

Adaptive scoring algorithms and ways to let employers create custom projections of our multidimensional data is something we're thinking about. If you have ideas on how to build this, I'd love to hear them! james@cspa.io
if "fewer users" means can't recommend, then nothing newer can ever be recommended…
Trolls go to jail
Bloomington, Ind., would be helped by having your company there. Smaller than Indianapolis, but has a big upside: university, growing tech scene (co-work spaces, homegrown startups, Combine tech conference...), culturally more interesting as a whole than any other Indiana city.

And of course you're located not too far from major airports/large cities ... Indianapolis, Louisville, Cincinnati, St Louis, Chicago
This might not be quite what you described, but masto.host is a hosting provider that specializes in providing managed hosting for Mastodon instances (and they charge way less than $100/month!)
My favourite pen to date is the Zebra Sarasa[0]. It's a gel pen, but it really doesn't smear and 0.7mm nib means you're still writing sufficiently sharp.

[0] https://www.amazon.com/Zebra-Pen-46871-Retractable-10-Count/...
For me, the value of Spotify is much higher than Netflix, because it gives me access to the best music while former contains a small collection of mostly shitty TV shows. I cancelled Netflix few years ago and never regret it. There are much better video content providers, for example The Great Courses Plus is my favorite even if it's twice more expensive than Netflix
So are Thinkpads, Elitebooks, Probooks, Latitudes and Precisions.
You might. Most others won’t.
Get a ThinkPad X1 Carbon 6th gen with Arch Linux or Fedora. Forget CentOS.