skysight-inc/HackerNews huggingface dataset:
It's 99% marketing and places like HN and reddit eat it up and try to hype it up even more. When you confront these characters about the basis on which they claim AI will solve whatever problem or evolve to whichever point, they only reply "it'll only keep getting better (given time, data, resources, brains, etc)"

It's a buzzword people brainlessly use to fetishize technological progress without understanding the inherent limitations of the technology or the actual practicality and real-life results outside of crafted demos or specific problem domains (for example Alpha Go beating a grandmaster has almost no bearing on a problem like speech cognition).

It's turned me off a lot from reading about advances in the field because I know like a lot of science releases that most of it is empty air that won't really have bearing on the actual software I use (I've watched the past two Google's I/O where pretty much every presentation mentions AI, but the Android experience still remains relatively stale).
Cars in front of you decide to do random things like slam on the brakes or make sudden turns. Eye sight consistently would warn early then brake as much as necessary. I only had it do emergency braking 2 times and both would have been accidents as I'd misjudged the distance and speed of other objects. They have you test driving towards a trash can as part of the sale, it works, so not just cars in a lane. More interestingly though, the warnings, especially as early as they happen, made me a better driver fairly quickly. Tangentially, the warning sound on the Outback is far more compelling than on the Tesla. Weird UX thing.
The Case for Chaos Engineering: Tales from the UI
tell this to the families of the people who have died
I agree. Overhype is annoying, but it happens with every technological advance. So does the inevitable backlash jump from "some people claim too much" to "this whole field is a bubble with no real gains". Both are cliched viewpoints that give a false sense of being "in the know" without helping anyone navigate change effectively.
Author's reasons:

1.Hype dies down (which is really good! Meaning the chance of burst, is actually lower!)

2.Doesn't scale is false claim. DL methods have scaled MUCH better than any other ML algorithms in recent history (scale SVM is no small task). Scaling for DL methods are much either as comparing to other traditional ML algorithms, where it can be naturally distributed and aggregated.

3. Partially true. But self-driving is a sophisticated area by itself, DL is part of it, it can't really put full claim on its potential future success or ultimate downfall.

4. Gary Marcus isn't an established figure in DL research.

AI winter will ultimately come. But it is because people will become more informed about DL's strengths and limits, thus becoming smarter to tell what is BS what is not. AGI is likely not going to happen just with DL, but that is no way meaning it is a winter. DL has revolutionized the paradigm of Machine Learning itself, the shift has now complete, it will stay for a very very long time, and the successor is likely to build upon it not subvert it completely as well.
And don't forget this famous example:

> [1996] https://www.youtube.com/watch?v=29ToNp1MY3c&t=33s
Not a physicist.
If napkin calculation goes, that's 1000 Jupiters per star. Is that really improbable? There is a lot of space outside of solar system radii.
The difference seems to be that here in Spain you are seldom sentenced to less than two years. Jail, when you finally get there, is a serious matter. And of course you can't drive in prison so problem solved :)

Points and permit revoking are the way to fast-track what otherwise would be administrative sanctions, clustering them to build a criminal case.
I wished I was smart enough to even implement half of what I just read and I am a senior getting my BA in computer information systems with my focus being networking and security :(
Here [1] is the "dep ensure -v" output for a project of mine. It takes almost 12 seconds even when there are no changes to the actual file. I don't know why, or whether it's actually the solver (though the output seems to indicate it).

[1] https://gist.github.com/atombender/7c28f1d371fcb139e1e742a08...
My experience of a housefire is that there is far more water and smoke damage to contents than heat.
Keystone: RISC-V Based Open-Source Secure Hardware Enclave
Are health apps actually bad for your health?
> Google seems to get this right, thankfully.

Gets it right for you. If I mean today, I say today. This is especially true when I'm talking to a computer.
I agree that self-driving had/have been overhyped over the previous few years. The problem is harder than many people realize.

The difference between the current AI renaissance and the past pre-winter AI ecosystems is the level of economic gain realized by the technology.

The late 80s-early 90s AI winter, for example, resulted from the limitations of expert systems which were useful but only in niche markets and their development and maintenance costs were quite high relative to alternatives.

The current AI systems do something that alternatives, like Mechanical Turks, can only accomplish with much greater costs and may not even have the scale necessary for global massive services like Google Photos or Youtube autocaptioning.

The spread of computing infrastructure and connectivity into the hands of billions of global population is a key contributing factor.
One question: How to move my account from one Mastodon Instance to another?

I mean, if I was on 'Mastodon Instance One', now I want to move to 'Mastodon Instance Two', do I need to register an new account on the Instance Two and manually import all my data? Wouldn't that resulting a new Mastodon ID (@myname@InstanceOne -> @myname@InstanceTwo)?
This is a good example of a case where engineering from first principles, especially around user experience for driving, can lead to making the same mistakes again (e.g., autopilot naming, and potentially issues related to consistent braking performance found in the Consumer Reports review.)
if no one paid, there would be no more kidnappings for ransom
They mean useless in the end result. Of course having perfect captions could potentially allow indexable videos, but the case is that the captions suck. They're so bad in fact that it's a common meme on Youtube comments for people to say "Go to timestamp and turn on subtitles" so people can laugh at whatever garbled interpretation the speech recognition made.
When will the right mirror be replaced with a camera and dedicated screen. Until the 1980s cars didn't even have a mirror on the right side.
Getting rid of the mirror will make cars more aerodynamic.
It will also make cars safer, no more knocking over cyclists with the right side mirror.
It will make cars cheaper to maintain, mirrors are expensive to maintain.
Ask HN: Does YC contact your YC employer during the application process
I currently work for a YC company - I was wondering would YC contact the founder of the company I work for, if I'm still working there during the application process?

The only reason I ask this is because my coworker and I have been working on this project are thinking about applying in the Fall batch. I'm just worried that the YC founder wouldn't want 2 core people from the engineering team to leave and that would hurt our chances of getting in.

*our software is not related to the YC company.

maybe im just overthinking things?

Thanks for offering advice in advance.
The NHTSA found a 40% crash rate reduction from Tesla's autopilot. So how about you tell all the people who lives have been saved that you wish they hadn't been because you're an emotional reactionary
I think he is stating that the quality of the transcription is poor.
The private office is dead, long live the private office
This article always rubbed me the wrong way as it's practically a condensed rewrite of Have You Ever Tried to Sell a Diamond?, published in The Atlantic in 1982. Much of this article is just quotes from the original. It bothers that the priceonomics.com author took someone else's work, repackaged it, and now people prefer reading & sharing the 'new' version rather than the long-form original.
And Tesla's newer vehicles have the same sensors as Eye Sight, they just choose not to use them for Automatic Emergency Braking (AEB).

Tesla's fans always defend the failure of their AEB by pointing out flaws in radar, while entirely ignoring that Tesla's vehicles have contained front facing optical cameras for years now.

The Tesla shouldn't have hit the divider in the previous accident, the optical (visual light) camera should have seen it, even if radar didn't. Why doesn't Tesla's system work as well as Sabaru's Eye Sight?
I think it would require more like 10,000 Jupiters per star to account for dark matter in the Galaxy. The issue is that these microlensing surveys put an upper bound on the number of rogue Jupiters that can be floating around and this bound is much less than 10,000 per star.
Dont they need DRM to prevent the copying of those logos?
Quantum Mechanical Words and Mathematical Organisms
They are, you can see the driver demoing it here: https://youtu.be/1GrNv3ow9H8
Some of this is valid, but most is badly off-base. A lot of people confuse the sprint cadence with the natural functional milestones that emerge in any software project. Nothing in agile requires you to finish a feature in one sprint; it only requires that you have demonstrable functionality. Developers always chunk their work into comprehensible pieces, and those pieces are almost always less than two weeks work, for the practical reason that a project much bigger than that is pretty difficult for an individual developer to hold in his or her head. The worst case scenario is that some kind of interim demonstrable milestone has to be found in a chunk that is projected to take longer than a sprint, but in practice that's almost never very hard to do for an experienced developer. We routinely divvy up functionality, it's part of the professional skillset.

You seem pretty hung up on the story point thing. I've never experienced that much of an issue with it. In practice, the team does give greater weight to the opinions of people with special expertise. And no team I've ever been on has spent much time arguing about 1 or 2-point stories. The advantage of group pointing comes when you talk to the outliers; often someone in the group will think of an aspect that no one else did, and group pointing brings that out.

Regarding the motivation of managers, maybe everyone is out to get you, but probably not. Most managers really just want to know the team's velocity, so they can project the likelihood of making future (very real) deadlines. They're not taking your sprint stats and showing them off in some secret manager's society.
Accoring to Wikipedia, you still need to have a minimum runway visibility unless you are landing CAT-IIIc, which is not used commercially (yet).

CAT-III landings are automatic, but the pilot needs some visibility to decide if the plane is going to touch down in the landing zone. If they are totally blind they will divert.

https://en.wikipedia.org/wiki/Instrument_landing_system#ILS_...
> Organic food is worse than food wich was treated with various chemicals to kill living things?

Organic food is, itself, generally food which is treated with various chemicals to kill living things. The choice of chemicals involved, and the choice of actual food crop, is limited by concerns that are chosen on bases which are not well adapted to either maximizing safety of the food or minimizing environmental impact of the food growing process.
Testing and package management aren't mutually exclusive. If you're in a monorepo, all your code evolves in lockstep. A core tenet of versioned package management is to get reproducible builds that only need to break once you choose to evolve forward in time (i.e. upgrade).

Historically, most languages (C, C++, pre-Maven Java) haven't had package management at all, and so dependencies have typically been managed by vendoring the code (or JAR files). JAR files worked okay, but vendoring incurs maintenance overhead that isn't acceptable in today's environment. git submodules are theoretically a solution, but also high-maintenance.
To be fair, a major reason they are expensive to insure is because parts and labor are in low supply and high demand, thus high repair costs.
Perhaps, but artificial fur is not the same substance as natural fur, and so is easily distinguished. Man-made diamonds are in fact diamonds and are indistinguishable from mined diamonds with the naked eye.

Also, manmade diamonds tend to resemble scarcer flawless diamonds rather than more common flawed / included diamonds. Even if preferences shifted to included diamonds to signal a "natural", the more obviously flawed / natural are also the most plentiful, again posing a pricing challenge.

The diamond industry is a racket built on the backs of impoverished Africans to produce frivolous symbols. It isn't even useful like the cobalt and tantalum mining. And it extorts young married couples out of serious cash ("three months salary" for a rock instead of a special trip, a car, a down payment...).

Good riddance.
Crypto-Addiction Guide
This is actually true. it baffled me too. For proof, check this review video by Top Gear. They demo the Easter eggs that are only available in AutoPilot mode; https://youtu.be/1GrNv3ow9H8
The GDPR is an EU law, and as such it is unlikely that anyone prosecuting under it will pay any attention at all to what the US definition of free speech is.
There must be some benefit to attending conferences, otherwise why would scientists attend them?
Erm, I think it’s more like “I have a certain worldview that is only consistent if climate change isn’t real” or “this belief is part of my identity, which means the idea that it could be wrong is threatening to my identity”.
The surprising thing for me is that synthetic diamond industry has so thoroughly failed to create marketing campaign, sales channels and branding. Even a noob like me can think of few good enough marketing slogans: "Diamonds Purer than Nature", "Perfection is never old", "Just like Kohinoor" and so on. They can create a brand of personalized diamonds with different shapes that symbolizes couple's story. They can completely overtake 3rd world countries where people would jump at 20% cheaper diamonds and most don't even know that synthetics exists.

Many technological advancements had obsoleted traditional companies. I'm surprised De Beers is still around.
Memory Alpha has a page on Star Trek episodes which feature rogue planets:

http://memory-alpha.wikia.com/wiki/Rogue_planet
I apologize for not responding to this sooner. I just missed it.

Project Management is about resource optimization, where for the case we're talking about those resources are people.

Optimizing those resources involves balancing the supply and demand for people's hours, knowledge and skills. More experienced and highly capable people on your team will be in more demand, despite the always limited supply of their hours which increases the cost of those hours to your timeline.

Psychology is the study of human behavior. Because the resources are people, a huge portion of your job in optimizing that timeline is optimizing the people. That means understanding motivations, weaknesses, burn out, focus, etc as well as a number of other factors.
A friend that’s more optimistic about Strong AI once said that the ML that goes on today will probably serve the purpose of driving the peripheral sense organs of a future AI. Although it stretches a bit what’s possible today I could see that. I would call this a win if this ends up happening although I still belive we’re hundreds of years away from Strong AI.
> The standard answer is lock files which is extra bloat and leads to merge conflicts.

Bloat how? A lockfile is a handful of bytes. A thousand lockfiles could fit in the space of a single Go hello world binary. And I've never heard of a merge conflict from a lockfile. What are the actual arguments against lockfiles?
Not surprised, DeBeers isnt exactly a "diamond zealot" as they were the company that hoarded diamond supply to drive up scarcity and prices, they're more interested in monopolies and profits.
Good question, would be great to hear some wisdom from team leads that have managed to build great products.
> I'm not sure I've ever been to a hospital with anything non-hospital related within a 100 yard radius. And you can always adjust the center of your geotargeted area to make it more effective.

This is somewhat true of my local hospital, but the ER facility is dwarfed by the number of non-ER facilities in a 100-200 yard radius. I personally see two specialists in the facility, receive diagnostic imaging and bloodwork, plus physical therapy within that same area. I additionally drive every day through that radius as I live on the same street as my hospital.

I dont want or need these sorts of ads cropping up.
Tesla are clowns. It's possible to do this right, but they're shipping a product they know isn't suited to the task.

(Lidar really does matter, but also extremely rigorous testing.)
Honda Aircraft Launches HondaJet Elite
5 lean growth hacks to get from 0 to 1,000 users
> The (small) organic farmers I know dont use pesticides at all.

They aren't representative of the bulk of organic food production. Overall, organic food production is, like non-organic food production, dominated by large, industrial agriculture concerns that do use pesticides.
Wouldn't certain class of people have a greater propensity of buying this type of insurance. Probably some decent overlap with the kinds of people kidnappers target in the first place?
Advogato.org is gone
Author here: I'm using deep learning daily so I have a bit of an idea on what I'm talking about.

1) Not my point. Hype is doing very well. But narrative begins to crack, actually indicative of a burst...
2) DL does not scale very well. It does scale better than other ML algorithm because those did not scale at all. If you want to know what scales very well, look at CFD (computational fluid dynamics). DL in nowhere near that ease in scaling.
3) self driving is the poster child of current "AI-revolution". And it is where by far most money is allocated. So if that falls, rest of DL does not matter.
4) Not that this matters, does it?
The NHTSA found a 40% crash rate reduction from Tesla's autopilot. I'd say thats what its good for.
I think you're confusing age with experience. The sad fact is that experience in important, and there's only way of getting it, letting time go by.
> We are choosing to stand in solidarity with Muslim Americans, immigrants, and all people whose lives and livelihoods are threatened by the incoming administration’s proposed data collection policies. We refuse to build a database of people based on their Constitutionally-protected religious beliefs.

This list is impressively long, but what are these proposed data collection policies that are so ominous?

EDIT: obviously lots of data collection policies are ominous, but I'm trying to understand how the Trump administration is related to this (and how immigrants are especially affected).
It depends and needs research, after all lots of abs exercises havent shown to significantly reduce abdominal fat in comparison with any general exercise like running
Most of those, too, turn out to be supported by myths about specific cases they have been spread by anti-GMO propagandists.
Technically, VCs are not loaning you money. They’re more likely betting on you. It’s true that maybe they’ll be more reluctant to place big bets, but as with everything in life the VC optimism is cyclical.
Breeding over time is slow. When you select crops over generations to improve a seed stock you are not making radical changes quickly, and you are not introducing genes from other species.

It is the pace of change and the scope of change that makes GMO crops more dangerous than those we have modified over 1000s of years of selective breeding.

And BTW, even in natural selection, there can be instances where a naturally occurring mutation causes a change in a species which has drastic and rapid implications for the environment in which it reproduces and spreads. For example the evolution of oxygen-creating organisms created a toxic environment which killed 99% of life that existed in the oxygen-free environment before those organisms came into existence.
Mineral name wise, sapphires are a type of corundum. Usually blue, sometimes green, yellow, orange, or others, depending on various metals mixed into it. But if it’s red (via chromium) it’s a ruby instead.

Clear crystalline aluminum oxide you’d generally just call corundum (or aluminum oxide if you’re not feeling fancy), but that doesn’t market as well when you’re making watch faces and camera lenses out of it, so I guess we’re calling that sapphire now too.

TLDR: Gemstone naming seems a bit super arbitrary and marketing driven (not that I’m an expert on the subject)
Natural diamonds have already been in existence forever (from a consumer point of view). The synthetic you just bought may be a day old.

In some sense of the word, one is forever, the other is the potential of forever.

That said, yeah it’s obviously meant to cast doubt on the longevity of synthetics. But I don’t think stupid is the right word for it. Malicious comes to mind.
Have you used/tried them recently? The improvement relative to 5 years ago is major.

At least in English, they are now good enough that I can read without listening to the audio and understand almost everything said. (There are still a few mistakes here and there but they often don’t matter.)
yeah you're right. I sometimes forget to put the size and distance of things into perspective.
> A commercial pilot doesn't flip on autopilot and start browsing the internet on a phone or take a nap. And that's at 30k feet where there's little traffic to worry about.

That's rich, you may want to actually do some research into what commercial pilots do when flying before making such claims.

e.g. http://www.bbc.com/news/uk-24296544
Totaled? Maybe insurance totaled, but that police cruiser looks relatively in fact from the picture. The driver's side door is open and and it doesn't look like it was crumpled in any way in that zone. The rear driver's side passenger door looks like it took more damage, and the entire frame of the cruiser still looks like it's in relatively okay condition. The Tesla is in the same shape.

I'm not trying to downplay the impacts of the driver or Autopilot here, but even if a police officer was in the cruiser, it doesn't look like it would have been as catastrophic as the article implies.
Everybody is so hard on Tesla. And I do agree that the name "AutoPilot" gives the wrong impression of what it can do.

But think about it like Elon Musk would: If AutoPilot is statistically saver that a car without AutoPilot then it's good enough to be sold on production cars. Tesla cars are saver that normal cars statistically.

Off course, picking one crash and saying AutoPilot sucks is statistically not the right approach. I do agree that Tesla should improve on this. But crashing into a parked car probably means that the driver was playing with his phone, or the cars touch screen too much. Tesla should have systems in place that detects the driver not paying attention. (something better than touching the steer)
We don't yet have evidence that Tesla's using Autopilot are any less safe than human drivers. We do have plenty of examples of traditional auto makers negligently ignoring safety regulations, manufacturing faulty vehicles and also causing fatalities. But somehow we don't hear the same pleas for sympathy for those souls.
not to mention that autopilot has demonstrably reduced the crash rate by 40% so it really is just vilification from a desire for retribution without consideration of actual impact