skysight-inc/HackerNews huggingface dataset:
The funny thing is the author acknowledges what a real solution would be - distributed fact checking, in which we can't say one institution or panel of experts has a monopoly on arbitration of the Truth™. If it were done in a way that made the consumer feel as though they were a part of the process, they might be more to allow some moderation even if it goes against their prescribed beliefs. I think that's what wikipedia got right.

The deeper issue that the author didn't really address well is how mis-incentivized online engagement is and the opportunities that exist on realigning those incentives. They discussed the marketplace of ideas and linked to how Facebook would lose engagement if they cracked down though, so I can't be too hard on the author.

My own solution is newsbetting. Place a wager on the political bias of the source of a de-titled article. Or a similar extension to whether a fact agrees with some established scientific entity. It puts skin in the game and allows consumers to feel engaged.
What utopia have you found? I couldn't stop meeting these people on the road.
You can go quite a bit farther out than Yamanote without increasing your commute by much. I once lived in Ota ward
with a daily commute to Nihombashi. Door-to-door commute time was 25 minutes. Not too much worse than a 10-15 minute commute, especially when I can read / reply to emails on the way.
The Elements of Good Judgment
I thought “Cosmic Serpent: DNA and the Origins of Knowledge” was a pretty good book.
But does it matter? The odd organism dying here and there doesn't matter. If the effect isn't quantified, then it could easily be "effectively nothing".
The loan example comes up a lot but I'm not sure why. We already use machine learning to evaluate credit ratings in the US. It is not always a fair system but it is standard practice and nobody asks why they are turned down for a loan or demands to know how the system works (this information is proprietary and banks would claim their algorithms are a trade secret since a better algorithm gives them an edge on pricing loans).

>>You'd want the reason your application was not granted to be something reasonable (like a poor credit history) and not something like "the particular combination of inputs triggered some weird path and rejected you offhand."

This is a low dimensional bias. If there is increased risk of default from high A & B & C & D but not high A or high B or high C or high D, then the combination or parameters is what matters even if it is not easy to explain. Typically in a high dimensional space most of the volume is far from the axes so it is unlikely that things will line up along some preconceived set of inputs. As it is 'poor credit history' is in fact an index that amalgamates a large number of different parameters so I'm not sure if that really explains why the loan was rejected or simply gives a simple name for a complicated thing.

In general yes, it is good to thoroughly debug any ML algorithm and make sure that is is doing roughy what you think that it is doing. A lot of times this process can be quite complicated and relies on a lot of intuition & heuristics. While thoroughly testing a ML solution is certainly best practice, I'm not sure if having a highly skilled researcher conducting an in-depth mathematical analysis of an algorithm would really make it 'interpretable'.
To best of my knowledge, hardlinks do not work across filesystems; softlinks do not have any such issues. Orphan links can be detected and cleared separately.
Yes children should be taught about road safety but they’re not the ones operating a two ton high speed machine. Pools are fenced because those owning hazards have a duty to safeguard children from them. Children don’t have a duty to be as responsible as an adult would be.
I think you're right but I don't know the stat behind how often the strategy gets implemented. As other have said, it has much to do with the hiring point person and if the consulting firm essentially endorses an idea s/he already had. Rarely does a consulting firm come up with a brand new strategy and convince the client to implement it.
Apologies! I gave a hypothetical scenario as part of a question, that also unfortunately happened to be true when accounting for occupants outside of vehicles. I didn’t mean for you(or the OP) to interpret the scenario as me stating it as a matter of fact and quote it in a rebuttal. I’ll try and make hypotheticals like that a bit clearer in the future to avoid confusing people.
Hiring people you'd work with on a daily basis without ever having spoken to them sounds like a recipe for disaster.

Surely there's a better way of acknowledging and mitigating harmful stereotypes?
This should be upvoted more, very well said.

I usually frame it in terms of incentives but yes, you are absolutely correct, there is a power play involved.
How do you judge that number to be a lot? Are you comparing it to something else you're already familiar with?
You seem to have completely missed the point? The alpha, or “strongest, wisest, winner of battles wolf” may exist, but it doesn’t define the pecking order — at least in wild populations.

Like human three-generation households, the patriarch/matriarch are the grandparents, irrespective of whether they can hold their ground in mortal combat.

Though I agree, the notion and usefulness of “alpha” remains unchanged for non-family oriented groupings, of both wolf and man.
Was it hard to get your life to shift around your sleep patterns? (If you sleep in and skip a bunch of meetings without notice or miss your kids soccer game)

Conceptually you are on to something. Pushing exhaustion isn’t smart.
The machine gun was most likely inside the vehicle, not mounted as a technical style. Having said that, any parked vehicle should have been seen as a problem, but perhaps not something that could be resolved.
Just like many solitaire games, you can definitely lose in Mahjong Solitaire.

Since there are four tiles (two pairs) of each tile set, you can play in such a way that you’re deadlocked because of a previous choice.

Imagine, for example, there are two matching tiles with one stacked on top of the other. If you already removed the other two matches for that same tile set, then you’re stuck, since the only way to remove the top one is to match it with another match — but you can’t get to the only remaining matching tile since it’s covered by that tile.
Thanks! I work with an illustrator on the cartoons and diagrams. I wrote a post explaining how I found her and how we work together:

https://mtlynch.io/how-to-hire-a-cartoonist/

Professional illustrations are another thing I think are underused in blogging. It's not that expensive, and it looks much better than stock photos.
As someone who grew up in west Texas, the struggle is real to not sound like a moronic hick. I do a pretty good job, unless I spend any more than a day or two around relatives, then it takes me a couple of weeks to stop the drawl.

Biggest difference for me though, is my regional vocabulary. For example, a refrigerator will always be an icebox for me.
The last time I used a Mac I remember the absolute headfuck that was all the different ways to make it "more unixy"

"Oh just use Macports!"

"No macports is trash, use Homebrew!"

"Homebrew sucks, use Gentoo/kMacOSX!"

Of course none of them were particularly interoperable at the time and all had extremely arcane invocations and setups. It was very lipstick on a pig
Obligatory: https://xkcd.com/2347/
Japan’s GDP per capita which is arguably the most relevant economic statistic was higher in 1995. That’s got nothing to do with the stock market. People call Japan’s economy stagnant, because it is. https://www.macrotrends.net/countries/JPN/japan/gdp-per-capi...

That said, for a country with limited natural resources and a rapidly aging population their economy is arguably reasonably healthy. If anything it shows what happens to a modern western economy when you don’t adjust for very low birth rates with immigration.
3 years of writing 1000 words a day, give or take.
Experience Zombo.com in VR (2020)
Our body evolved for an environment without those things that you listed.

I think you were right to consciously remove those things from its access.

Sleep was always an essential part of the equation, however.

Try to imagine how you lived 10K years ago.
That's retail rates. Depending on the size of the bulbs, you could likely ship them first class for around $1.5. packaging might be another $0.20 assuming the bulbs are already in stuff boxes.

But still, not much room for profit. And from my experience, a lot of big box sellers will just put it in a huge box and pay a much higher rate than necessary for shipping.
A pretend bard contributed to a pretend bum!
I grew up in the rural south, and was explicitly taught that our accent would be perceived this way. It served me well, maybe; I was always aware of my accent and able to camouflage it and eventually lose it almost entirely when I went away to college.
Well, it's an intersection of having the right venture, the right person, with the right leverage, at the right time. Elon Musk is perhaps close to unique in that intersection.

Are there other people who could do it but were not in the right place in the right time or didn't have the right leverage (money, connections, etc.)? Lots. If you took away those parameters, if Elon was just an engineer working for Boeing with just enough money to go on vacation every year, then he probably wouldn't have founded Tesla. He'd be some middle manager somewhere like lots of other smart/capable people.
America lacks an aristocracy? Hah. That's a funny one.
I was going to ask if New Zealand was big enough to develop its own regional accents, but I just realized that it's significantly bigger and less densely populated that England. And since England managed to develop a lot of distinct regional accents, I assume that given a century or two there might be a lot of New Zealand accents.
I think it's "easier said than done"

Regardless. That's all true. Also with a drone you need one that's big enough to carry at least several pounds of explosive...to handle an armored vehicle and the likelihood the detonation would be not directly next to it. You'd need FPV or something so you can guide the drone in close. Also vehicles could be moving at a reasonable place, so the drone would need to be fast enough to keep up/catch up.

Could it be done? Totally. Are there easier/cheaper ways? Totally.

Heck an RC Car ala Call Of Duty games would be more realistic.
The first component of any disorder is that it's causing a problem. If you like it and it's not harming others then it's not a disorder regardless of what condition it may resemble.
Essentially any time you have to run something that's not completely trusted to not block a thread - which could be user-supplied code (or "code" - matching a regex is unsafe in most implementations, rendering PostScript is famously Turing-complete) or just a third-party dependency.

At my first job we had a prototype that performed 2x faster (on average) by using Go-style async, but we couldn't trust our libraries enough to eliminate bugs from blocking dispatcher threads. So we stuck with traditional multithreading.
Is there a "new" YC?
I think there are two main reasons why we don't see more of the applications of Geometric Algebra.

One is that most people who would be using it are already satisfied with Differential Geometry and the coordinate-free formulations of physical laws we have there already. Having done some work in computational GR, I haven't seen anyone mention it and none of the texts I have read do. I think for people advanced enough in their field they are already past any pain points that this solves, so they don't learn it and don't teach it to their students.

Two I think that the people who this is most useful for, students just starting out in physics, aren't really in a position to go out and learn a new representation for doing their problems in. Especially when they are struggling enough with the basic concepts and their instructor is highly unlikely to be familiar with it.

Because of those two things and the cycles they mutually perpetuate, without a huge PR campaign or some well known teacher using it at a big name school for an introductory class I don't think we will ever see this become popular
I can’t recommend this enough for anyone looking to dive into Computer Science. I did it 7 years ago while in music school for no particular reason, and now have a computer science degree and am a software engineer at a well known company. CS50 quite literally changed my life.
I don't deny it, but it might be something that is way more prevalent than people may assume.

We're complex animals we like feeling stuff. For instance I've heard people miss playing LPs. You have to fiddle with it, setup the player, take time to install the disc, the arm.. etc It's 100x more complicated than an ipod .. yet people miss it. Ease of use is not all.
Someone please transcode and upload this to somewhere like YouTube already.
Or build bikeways and rail.
The main problem with GA is if you want a unified transformation hiearchy, geometric algebra could quickly get very complicated, as it requires projective GA to handle translation and dual-quaternion to handle non-uniform scaling. Geometry algebra appears beautiful to simple rotation cases and explains very well concepts that feel incomplete in simple vector math, but in real application for genric game engine, you can't really code up a scene graph with unified transforms in like 2 hours. Not to mention that even the GA people do not all agree with each other how to do the more advanced GA stuff(strange inversions and ext).

Surprisingly very few people talk about this on Youtube with all those GA tutorial videos, and you can find scant information on the bivector site forum. In comparison, despite matrix represetntion's weaker mappng to geometric concepts, it handles everything in a more unified interface without too much complications.

For that matter the GA math feels much to be desired. There probably exists a undiscovered better version of GA that handles translation and scaling better and everybody could instantly agree on. Until that day GA probably won't see much general usage.
For the nlp example, I think the goal would be more of a reflective model. That is, not so much one that we can interpret by inspection of the state, but at least one that can expand on its state in the form of "why?"

This has actually been my biggest complaint against the smart speaker craze. Often I just want to ask, what did you think I said? Or, why did you activate? To some extent, the partner app allowed this. Is very limited, though.
Talk about histrionic reaching.

> Solar farms take 450 times more land than nuclear plants, and wind farms take 700 times more land than natural gas wells....

And the 'poor physics' (???) of that 'land-intensive' solution can use land that's worthless for anything else ... which describes much of the planet's surface.

As opposed to fracking in people's backyards? Earthquakes, well-poisoning? Is there anything Forbes won't print?
Are you in SF? When I lived in LA, this seemed like far less of an issue than in Northern California, where people seemed incredibly stuck up and generally awful. Something like 40% of LA doesn’t speak English at home and I would imagine a comparable number (if not more) speak with some kind of accent. If you clung to judging people because of their accents, you’d find yourself outside most social circles there.
Uncertainty Principle in software R&D
I thought the point of those nomadic lifestyles is to earn the same trifling money anyone can earn over the internet with a little effort, but live where the money goes farther.
In my experience people will come at this from a variety viewpoints. Typically they (1) don't trust the model to learn something useful, so they want some confidence that the model isn't going to do exotic things with new inputs (i.e. they want some faith in the generalization ability of the model to unseen inputs) or (2) they want the model to help them understand the problem. Your language example is perfect. How nice would it be for linguistics if a complex model could tell you about simple structures that you didn't previously know about. It is nearly an article of faith with some people that these simple structures must be there generating the statistics we see, like they haven't considered the possibility that there might not be a simple structure underneath.
I’m the opposite. I go to sleep when I give up on them going to bed. :-)
GDP per capita fails to take in account purchasing power parity and deflation of currency.
> I rode out six months on unemployment, also eating through my savings.

> I realized that with five years at the bank on my resume, it will be much easier to find another job, so I did that.

What are you saying here? You had the five years on your resume all the time you were struggling and on unemployment.
1) Daily Mail is shit

2) Daily Mail article is more thorough and believable than a tweet sourced to IRGC propaganda

Both statements can be true.
Quake was not really well playable over modem yet, but Quakeworld was. It's mentioned in the article as the next thing coming.

Strange how much new area was quickly covered in such short time. Of course, the platform itself was developing to make this possible. One couldn't have done dynamic lighting 3d worlds with a 386 or multiplayer 3d shooters with 2400 bps modems.

There have been attempts to board new, moving platforms like VR but no breakthrough yet?
Why would services put them at odds with an open platform? (I’m pretty sure they use that open platform for many of their services)
The thing is, some people don't want to do well and merely be part of the upper middle class. Some people want to get rich. And the strategies you must employ to be comfortable are much different than those required to make serious money.

Different strokes, different folks.
> This is a good exposition of some formal definitions for 'interpretability' in the context of machine learning, but I am still not really clear on why such a property is necessary or even desirable in the context of high dimensional statistical learning algorithms.

Because the models can fail, and we want to know how to prevent them from failing further. In a pure black box model, we know about the test and validation runs, and not much else. When Google thus deploys a model that classifies accounts as toxic or not and then cancels the toxic ones, regardless of how many domains you manage or YouTube followers you have or even whether you have a YouTube TV subscription, you'd prefer knowing why the model chose to give you the axe. You might even prefer a "human in the loop" when the system makes a call but doesn't really have confidence.

For certain areas like NLP, sure, it'd be tough. But for CV tasks or many other ML tasks, some form of explanation would be invaluable and much more (human) user-friendly.
> At the same time, he was also requiring things like pixel-for-pixel identical output for existing pages/features through all of this.

Break middle-school students' copypasta CSS rules for animated GIF backgrounds at your peril.
In addition to the roads and parking lots land is utilized to mine raw materials for producing the machine and fuel or charge it.
Wait, does tires on asphalt work like a Van Deer Graaf generator?
Could we generate electricity as well?
Important detail from the article:

“While you may be tempted to draw an analogy between the Great Dying and today’s warming climate, there are significant differences. For one, the greenhouse gases emitted during the Permian-Triassic events were far greater than anything humans have produced. Also, the volcanoes released carbon dioxide 252 million years ago at a rate much slower than humans emit it today.”
> Apple doesn't even care about Hackintoshes

That's because their numbers are so low that they don't represent a threat, but still contribute to keep users hooked to the Apple ecosystem, which is vital for them; of 10 people with a Hackintosh there may be no real Mac users, but many of them are likely to own an iPhone and use other Apple services; Apple need to keep those customers so they close both eyes on Hackintoshes. Also, since they offer no warranty for non original Apple hardware, it wouldn't impact much their corporate users base, which often are forced to use the real thing.

One side effect of making their own line of CPUs, and a system that as for now, runs only on them, however, could also be seen as a way to kill the Hackintoshes "competition", or it may be just a nice side effect for them. Time will tell.
Sometimes I can even resume the dream I was having the morning before and fall asleep instantly. Unfortunately I usually can't remember.
Which is exactly why these days I'm mindful to buy hardware from companies (and using components) that don't make it hard to run FLOSS. Neither actively by locking bootloader or such, nor passively by withholding documentation needed to write drivers.

There are options to buy from & support manufacturers who actively help this process. Why would I put my money towards making apples hardware more attractive, when their stance is at best "we don't care but we might change things any second and break this simply because we don't care."
Victoria to fine drivers blocking EV chargers
That’s pretty easy to ballpark. Everything Apple does targets a whole package 25-30% margin. If the services aren’t generating that margin, the hardware is making it up. Last I heard the iPhone is on that margin target, as are all or nearly all macs. So it’s pretty reasonable to assume the services are pretty close in line.
There is the Microsoft SQ2 and the Snapdragon 8cx Gen 2.
The A14 is significantly faster than the Kirin 9000 (Cortex A77 on TSMC 5nm) on SPECint and SPECfp: https://www.anandtech.com/show/16226/apple-silicon-m1-a14-de...
Clicking through the links, the stats on suicide rates surprised me significantly. It's true that Japan has relatively high suicide rates compared to my country (America) with an age adjusted rate of 14.3 vs 13.7 incidents per 100,000 (2016 numbers). But those numbers were both closer, and far below a number of other OECD countries that I wouldn't normally consider to be areas with high rates of suicide. A few examples include Estonia (14.4), Belgium (15.7), Latvia (17.2), Ukraine (18.5), and Lithuania (25.7).
I haven't attempted sway specifically, but I don't see why not. The OS installs with nouveau on wayland by default, and runs perfectly fine (at a ~60-70% performance level, based on Linux/Proton gaming FPS). I use GNOME on Xorg, so have no issues with the proprietary driver.
Approx Nearest Neighbor Search: How PyNNDescent Works
Yeah, just look at all the other profitable companies in the space which did it too!

Can't turn around without bumping into an electric car / reusable rocket company these days.
This is the type of hypothetical that kills the discussion, though.

If the model is interpretable, you have a high chance of knowing why it does or does not tell a stop sign from a jacket. If it is not, you only know that in your test/validation set, it can do the job.

Even tasks that machine learning clearly excels at is currently in a state where all good uses of it has a human supervisor at some level. Recognizing faces, as an example. For my personal library, I absolutely have to disambiguate the recognized faces of my kids as they get older in all of the products I've used.
Don't worry, in the south we think your yankee accents are equally wild.
They missed two important algorithms in SR

- Fast Function eXtraction (FFX)

- Prioritized Grammar Enumeration (PGE)

Both have advantages over GP based SR like Eureka, and this algo seems to have taken ideas from both without being aware or citing either. I'd expect a better survey of the existing literature in a paper coming from MIT. Maybe they saw Eureka article in Nature and slung together some clickbait? (I'm a little salty w.r.t. the SR field for their exceptionally poor research quality and methods)
Why we can't recommend porcelain countertops