skysight-inc/HackerNews huggingface dataset:
Let's hit the ol dictionary

https://www.merriam-webster.com/dictionary/wealth

Also, What? Why is that person "struggling"? That's 50K annually in principle and an extra 2500 in interest (at 5%) assuming you had a 0% down payment. Assuming you're paying half your income to taxes, you still have 72,500 left annually after making those home payments for whatever else you need to live off of. I get that this is fast and dirty back of a napkin math, but when you're mortgage is only 6X your annual income, you're probably doing fine. If you're struggling to exist with 72,500, we have very different definitions of "struggling".

My original point is this: "Wealth" is generally relative, and I accept that, but I can't believe that the holdings and wages are so out of proportion with the rest of the country that someone can attempt to make the claim that pulling in a quarter of a million dollars annually and living in a 1.5 million dollar home doesn't make you wealthy.

Signed: someone from the NYC tri-state where we have had "old money" families forever but still know what rich people look like.

(Final point: yes, you can eat home equity because you can convert it into liquidity most of the time.)
What made you think it was “no longer in use?” It’s a very big world. Just because something isn’t mentioned regularly in headlines doesn’t mean it’s not out there.
The point of usability testing is primarily to identify sources of roadblocks and confusion. It helps you understand where people can get stuck and why, but not the frequency.

Doing usability testing is both expensive and time consuming. It requires someone to analyze the videos and the testers are typically paid. So it's a very poor choice for creating frequency data.

Once the usability issues have been uncovered, it might make sense to look at the relevant analytics or add better tagging to get that frequency data.
Indeed, I'm finishing a MSc degree in epidemiology and I was pretty surprised that they presented that as "the only correct way" (program rated 2nd worldwide for epidemiology).

However, I do not agree that this is the most common problem. Ten years as a professional have shown me that the real issue is that 95% of people using statistics don't have a single clue about how the techniques they use daily really work.

It's especially alarming given the booming machine learning fad.
Because Fuse is slooow - I've had an external Exfat drive mounted on Raspberry Pi 4 and writing large amount of data would pretty much max out the CPU. Ext3/4 has no such issue, I can write to it for days without taxing the CPU. Apparently it's a known problem with Fuse partitions, NFTS-3G has the same problem.
TechCrunch is only focusing on the tech part. Reuters, Bloomberg are also going with 'liberalizing' in their stories. Besides, every global company has been lobbying for these relaxations so it is liberating!
This is because most grads are one step higher than interns. They really dont know much (and shouldnt be expected to) because they lack real experience. Startups higher them because they are cheap and will work hard long hours without question. It's the trade off they are willing to accept.
Just off the top of my head:

-Lots of relentless propaganda trying to differentiate and demonize political parties (liberals/democrats bad and hate america!) when in reality there's not much difference between mainstream elements of both parties outside of wedge issues.

-Lots of green-washing propaganda (consuming product X is good for the environment)
How to maintain high deliverability of your email marketing campaigns
I took the 6.001 edX courses a while back. Introduction to Computer Science and Programming in Python--actually broken in 2 parts for edX.

Yeah, it came across to me that the expectation was that you'd learn to program mostly outside of the course. Or, really, that you already had a reasonable grasp on the basic concepts. Otherwise I think that course would feel to most people like being tossed into the deep end of the pool from a great height.

To be sure, with the campus version of the class there would be recitation sessions and other resources to get help on the programming side. There's also a companion textbook that goes into more Python details. But that's certainly not a class to "learn to program," much less how to work on a command line, use an editor, etc.

That may be reasonable for an MIT CS curriculum but most other majors probably don't have the same degree of implied prerequisites.
Even better is for a community to _own_ a bank.

In the UK there are Building Societies. Originally the concept went only like this: If a thousand workers in a town pool their savings to form a mutual Building Society it can use that money to loan someone (one of their number or somebody else) money to build a house. The new house owner's payments on the loan provide good interest on the savings and a profit the society can use to expand, as savings and loan payments roll in they can loan more money for another house and so on, eventually everybody gets a house and rich bankers get nothing because the society's savers and borrowers are also its owners. The first ones were Limited Building Societies, they ceased to exist after a period of time having served their purpose - providing loans within a geographically constrained community, but the Permanent Building Societies grew, and eventually came to dominate mortgage lending as an industry in the UK.

Towards the end of last century unfortunately there were what the press called "Carpetbaggers". The carpetbaggers realised that a Permanent Building Society has a considerable cash reserve because it needs to be able to survive a "bank run" and its main assets are other people's homes which aren't liquid enough to cash out if a run happens. Their plan was, join the society and then vote as members to convert the society into a limited company, an ordinary bank - effectively cashing out. This worked on a number of famous Permanent Building Societies, including the one that had loaned money for the house I was growing up in at the time. I voted against, my parents (whose mortgage it was) voted in favour, and their side won, the society no longer exists. Some societies instituted "anti-carpetbagger" rules to try to prevent it, challenged demutualisation in the courts, or just plain voted against - those are still successful today, while the ones that turned into ordinary banks were mostly ruined in the recession (e.g. Northern Rock)
Building, exploring, and programming the workings of early computers builds foundation knowledge that helps with a wide variety of newer technologies. It's good to see projects like this, in my opinion.
>Among other things it would also make sure that East Asian disdain for darker skinned people

India is no panacea on this front. Modi is a Hindu nationalist and if you're expecting India to be a democracy in the vein of Western liberal democracy with enlightenment values, you're in for a surprise.
IME, it is because colleges, and specifically tenured college professors in CS and software engineering departments, remain woefully behind the times when it comes to relevant engineering skills.

And the latter have little motivation to stay current.
How does that work ? OIN applies to corporations. What if you aren't a member ? Or is the actual code in the linux kernel going to have a patent grant ? But MS may not be the one committing the code. So will they just add a patent grant header irrespective of who commits the code ?
At what point is a company no longer a startup and just a small business looking for talent? I ask because my view of a startup that isn’t a unicorn worth millions within its first few years (where rapid growth will encourage a hiring spree) is its usually a handful people and some office space.

Are typical start ups really doing whiteboard interviews during their early stages? I expect white boarding from a company like Uber or Discord but don’t most still hire based on networks and recommendations?
> Training on the cloud is 20X more expensive, and you cannot use commodity GPU (banned by Nivdia).

Can you expand on this? What do you mean using commodity GPUs for training on the cloud is banned by Nvidia?
I mean yes, some bootcamps have started cementing their own signal too (see Lambda) but I don’t know whether that many code bootcamps will surpass [second tier schools]’ signals. You are right tho that there will be a supply problem either way.
"Exponential" is an anagram for "More processing power won't save you".
There's a great William Tenn Cold War short story about this about a race to the moon ahead of the enemy. Spoiler: the Army's crash mission reaches the moon only to discover that indeed, they weren't the first; the enemy already had a base. Who was the enemy? The Navy.
Taxi companies are better at scaling than Uber. They can do bulk vehicle procurements and sign service deals. It is no wonder they can pay wages and not be that much more expensive.
Why is that? It's a relaxation of regulation, and that's commonly called economic liberalisation. See https://en.wikipedia.org/wiki/Economic_liberalisation_in_Ind...
Wait, what? Branding is an important solution to the problem of validating product quality, as it attaches consequences to selling an inferior product, and thus saves on search costs.

Yes, it's possible to waste too much money on branding, but the existence of brands, which creates incentive for consistent quality and attributes of a product, is not a bad thing in itself, even for commodity goods like flour and soap.

IIRC, one of the old problems with general/convenience stores was having to ask around about which products are good, and branding has mostly solved that.

(To answer the obvious objection: yes, regulation is another way to ensure consistent quality, but that has its ups and downs, like being slow to catch up with changing consumer preferences.)
As someone from the US, though who now lives in the UK, I would feel the need to quality that with the phrase "needless jargon" if I wanted to refer specifically to jargon that could otherwise be described with less industry-specific terms.
I read about Office 2000's dynamically hidden menu items feature (with the expand button added to the bottom of each sub-menu) somewhere, that the items that _are_ shown initially were determined by collected usage data. So it's probably aggregation that makes the most sense, not digging into each individual user's behavior.
What they should do is allow the business to deduct that employee's salary from the taxes they owe while that employee is fulfilling a public need.
According to http://en.swpat.org/wiki/GPLv2_and_patents , GPLv2 includes an implicit patent grant

So my guess would be that the definition of "derivative work" would apply.
Will there be forks? I remember Phoenix forked from Firefox. 0.99 was awesome, then Phoenix became Firefox after they overloaded the browser with crap.
The SDXC standard (SD cards > 32GiB) specifies exFAT as the standardised Filesystem.
I like Rust because C++ is simply beyond my cognitive abilities.
It's perhaps a well-known tidbit of computer history that Alan Turing devoted much effort to the study of Biology and the explanation of the 'algorithmic' nature of life i.e. how protein synthesis could extrapolate to the stripes of a zebra for example; this seems to be the induction step 0 that would bring it all together
> Maybe one day we get physical switches that power off cameras and mics, but hard to trust anything until that day....maybe not then.

With SMD parts on a multilayer PCB how do you know that that switch controls the only path to the camera?
Lululemon is genius, their quality is great, but the branding is even better! They revolutionized the exercise wear industry, were single-handedly responsible for "athleisure" and killing denim sales!
The Play 5 has the logo rotated 90 degrees vertically so it looks extra cool.
Grace Hopper Conference Drops Palantir as a Sponsor
Personalized Fitness with Mobile Phones
Biden's son got > $1B from the Chinese not so long ago to run a private equity firm. If anyone thinks he's got that money for his good looks, they're very naive. The Chinese got Joe by the balls, he's very "friendly" to them, publicly as well. And Bernie can't tell a business negotiation from a hole in the ground. Those two are the most likely candidates at the moment.

Needless to say, the "CEO move" of the next person in the WH will be to "undo" just about everything the previous president has accomplished, and this in particular will be reasonably easy to undo (because the other side is eager to return to the status quo whereby they just steal our IP and fleece us to the tune of hundreds of billions of dollars a year through currency manipulation). On top of that the next president will be under intense pressure from their corporate donors to undo it.
I haven't been to the US since 2010, but at least at that point it felt like going backwards in time with respect to banking, mobile networks & any dealings I had with government agencies.
Linux itself creates a FAT partition for /boot, because the UEFI standard supports loading from FAT.

As well, if you ever look at a live-CD (like the installers for most modern Linux distros are), it will usually be using SYSLINUX, which limits itself to 8.3 filenames, for various good reasons to do with floppies, PXE, and ISO9660. Mount an Ubuntu CD in Windows and you'll see them.
Literature and Economics
Dominos used the lousy quality of their pizzas to market a revamped recipe.
Your reason to not like it, is my reason to keep it.

I hate the blown up bs UIs of today.

TB does what it's supposed to to and looks like it.
Considering all the different chemicals used in its manufacture, it is entirely possible that an iPhone isn't vegan.

Depending on how strict you are, plastic isn't vegan. The crude oil used could be considered an animal byproduct, as it is possibly derived from prehistoric animals ;)
> super optimism

I finally came to the conclusion ( for now ) that these sort of super optimism persist precisely and only because they are Startups.

Optimism as a Culture only works when it happens from those who held power to all the way down. It doesn't really work bottom up. When the company Culture is toxic, or bureaucratic as in every large companies, no optimism is going to save you.

In Startup, everyone is in it together, and it is mostly a flat or very thin structure. There is a huge transparency in vision and Goal. Everyone knew what their others are doing, and as long as everyone is fighting for it there will always be a fighting chance.
> Through the mid-1990s, there was a difference between military-grade encryption and consumer-grade encryption. Laws regulated encryption as a munition and limited what could legally be exported only to key lengths that were easily breakable. That changed with the rise of Internet commerce, because the needs of commercial applications more closely mirrored the needs of the military.

The case seems to be that the government and military has almost no special product offerings, so they use consumer tech. Therefore, weakening consumer tech weakens the government and military. This is not a robust argument imo.

The stronger argument is about how a whole economy would spring up that would fill office building after office building with full time hackers trying to dox, blackmail, mitm, or steal from every non-banking, non-crypto-approved communication in the world. The interned would eventually just die off as a communications platform as the public completely lost trust in it (though not politicians - they would be approved to use the secure channels and would not understand the issue)

edit: typo & wording fix
Everything logs to syslog (I generally use rsyslog) in JSON format.

All syslog instances push to a central instance, also running rsyslog. This allows us to tail logs on each instance, as well as tail / grep system-wide on the central instance.

Central instance pushes everything directly into elasticsearch.

Using Kibana for searching and aggregating. Using simple scripts for generating alarms and reports.

Every day a snapshot of the previous day is uploaded to S3 and indexes from 14 days ago are removed. This allows us to easily restore historical data from the past, but also keeps our ES instance relatively thin for daily usage / tracking / debugging. It also makes it possible to replace our central log instance without losing too much.

All devs use some simple convention (ideally built into the logging libs) to make searching and tracing relatively easy. These include "request ids" for all logs pertaining to a single process of work, and "thread ids" for tracing multiple related "requests".

I documented how I have rsyslog and elasticsearch set up here:
https://www.reddit.com/r/devops/comments/9g1nts/rsyslog_elas...
So the code in the linux kernel would have to be signed off/committed by MS in that case, right ? For a grant to have any meaning, the code would need to come from them ?
The Earth Will Remember Humans for the Mess We Left Behind
Just curious if anyone here has attended or graduated from Neumont College, or a school like it. Seems to be focused on solving this problem.

https://www.neumont.edu/

I have no affiliation with them, but like the model.
One thing I don't quite understand - why didn't a second-hand diamond market form, if one could get diamonds so much cheaper that way?
I think this might be true of the startup is focused on building a web app since that's what most bootcamps teach. From what I've seen bootcamp grads are weaker candidates than CS grads because at least CS grads know enough theory and engineering to learn how to build something.
I thought about adding something about privacy, but that's sort of a different topic for a different time. There are plenty of privacy preserving ways of learning from this data.
I'm not an MIT grad, but this has been my approach over the past few years when I decided I needed to educate myself on more paradigms rather than more languages. I found it less helpful to expand my skillset of similarly-styled languages and far more helpful to learn languages that are fundamentally different than the ones I already knew. Basically, I decided I should learn Lisp instead of yet another C-style language.

The end result is nice little feedback loop of far better understanding of the theory and concepts behind the code that I write feeding into writing better code, which then feeds back into better understanding. So now when I help peers (especially friends still in college), I focus less on the language and more on helping the concept click for them.

I can't say how well this works in practice in a university -- it sure seems to work for MIT -- but I know that in my professional life it has made just about everything I do far easier to reason about and my work is all the better for it.
>Even working in prisons they are strict on equipment

The tone of incredulity in your comment suggests, as if this practice is extraordinary, when it would be considered SOP ─ tools and crims behind bars make the most unlikely bedfellows.
Indeed sounds here that the main use is avoiding capital controls in China and similar. I'm not sure that's even breaking the law once the things are outside China.
I would have assumed that someone buying a $10M tanker load of oil would do some basic analysis to check the quality? Presumably even if it came from the purported country of origin, it could still have variations in quality that the buyer would want to confirm upon delivery?
Why not, if it is crap, call it so.

The only problem is him being in the jewelry business. People buy jewelry for vanity, of course they didn't like that. Sundar Pichai can call youtube $INSERT_SUB_SERVICE crap and discontinue that, you'll still watch youtube. If he's joking, he can call the entire company crap and nobody would stop using Google or Youtube.
I can't speak for more recently, but a < 10 person startup I interned at the summer 2014 had me do a number of whiteboard-style interview problems (although remotely, due to how far away I was).
The point about optimism is very interesting and I completely agree re: ambition - hard problems are more feasible than easy ones. However, I don't agree with the point about ad clicks.

> "Ambitious problems for Stripe look like enabling more internet businesses and supporting entrepreneurs in more countries, not getting more ad clicks."

I used to have a similar mindset until I actually ended up working on Ads at Google. There are hundreds of thousands (if not millions) of small business merchants, mom and pop stores, etc that rely on ads (be that Google, Facebook, Instagram, whatever) to run their businesses. In fact, these are the vast majority of ad buyers! The huge multi-billion dollar corporations are far and few between.

That's what drove many of the engineers (including myself). A small increase in conversion ratio (be that through better ranking, filtering, query interpretation, etc) meant a huge deal to these merchants and in some cases, could be the difference between life and death for some of these small companies. And at the scale Google operates at, very small incremental changes = huge impact. The engineers and projects, at least in my team, were driven by exactly the same goals mentioned here - to "enable more businesses" and "support entrepreneurs" all across the world.

It's easy to get sucked into the hype and blanket statements of "ads are bad" (I was guilty of that too). I've since left Google, but that experience really internalized for me that things like this are never so black and white.
The Lexus LS400 debuted in 1989 with a very high tech v8, with the highest r&d budget of any car engine to date. The 1uz-fe was an outstanding engine however you look at it, and so were its derivatives made well into the 00s. Other auto makers including euro brands like BMW had to play catch up. Lexii weren't just glitzed up cheap cars, nor necessarily high margin. There were some models like that, though. The Lexus GS300 was a Camry, if I remember right. And Scion TCs are Toyota Corollas.
Not just software developers. I was working on a medical device and visited doctors' offices to see how and where they stored their medication (e.g. for how could we make our dispenser more prominent without getting in the way?). We also filmed our investigators holding various prototype devices to see how they picked them up, how they were balanced, how they felt in small and large hands etc.

Universally we were told that nobody had ever asked them anything like that before.
There's lots of stuff where we trust that expert communities are being honest. Medical research is impossible to verify unless you get access to the raw data (get into a PhD program and get a grant and then get a DUA... all in all, possibly harder than getting an intelligence community job and an SCI clearance) but we all basically trust that medicine works the vast majority of the time.
TIL. I remember seeing incredibly rudely worded Ryanair signs at an airport. That was the final straw to make me not consider the airline for future flights. I am fine with cost-cutting, but rudeness does not save money.

Ironically, I was extremely happy with everything after baggage drop-off. The flight itself was no worse than any other airline, in my eyes (I don't consider ads to meaningfully worsen a flight). The airport (Hahn, serving almost only Ryanair back then) was amazing, with super-friendly airport (not airline!) staff and short walking distances.

But their atrocious web site (AFAIK checking in required you to concatenate two random values and enter them in one form field, in the one working flow out of the 3-4 that were offered) and their outright, aggressive rudeness left a much stronger permanent impression than the (probably low) price, the two-hour bus ride to the middle-of-nowhere airport, or the flight itself.
Behold, the marvelous results of capitalist science!

The more you convert academic science to just another industry (i.e constrain PIs by way of funding), the more people you'll have who will behave just as in other industries.

Hardly surprising.