skysight-inc/HackerNews huggingface dataset:
I strongly agree that the brake lights should come on in B-mode. That doesn't happen on the Leaf or on the Volt. That is however a different matter and it should be the law. But B-mode with brake lights is a fine idea.
I've never understood why health data is assumed to be something people want hidden and kept private.

If something happened to me, I'd like a stranger to be able to access it. It's not particularly embarrassing information for people to see - for some people, yes. But there should be a way to make your health data unencrypted for those that prefer it very accessible.
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Weak.

Some doctors actually LIKE to practice medicine. Some of these doctors will travel to third world countries or join the military to get additional practice time at less pay.

The difference, is that you still need to be licensed and certified to practice medicine.
Would you invest in a car as of today, knowing that in a few years US, JP, AU and EU (at least) will have driverless cars as a service?

Hm, maybe I'm rushing it a bit.
I assume you're only talking about exterior aesthetics.

Because the interiors of Tesla cars are extremely poor compared to even the lowest end cars. Poor quality, cheap looking plastics and leathers. And the large screen looks tacky and easy to date.
Researchers discover a vulnerability in the DIRTY COW original patch
Amazon, Google Are Offering AI/ML Consulting Services
The Cost of Digital Transformation
Dockerize Spring Boot Application
I thought it mean "love" for some reason... maybe I'm thinking of a different Korean word.
There's also often a messy transition period where a team goes from a bunch of generalists to more specialists. This can be extremely rocky for all involved as often generalists have lots of historic operational knowledge and strong opinions, but the new specialists come with external knowledge of best practices and how to scale.

It is important that historic knowledge is respected for the context it provides, while outside knowledge is equally respected for the deeper context and data behind it.

Unfortunately, this change often means generalists lose jobs in favor of specialists as a company grows if there isn't a good place for them, or if they don't rise to management. In fact, even early managers can be displaced by outside managers who come in with more management experience. And this is not inherently a bad thing for the company (while it may be for the employee getting bumped). The people that take a company from point A to point B are rarely the same people that take it from point B to point C.
Because one day that idea could turn into a product that is valuable.
> I don't care whether a machine "really thinks", so long as it can solve any problem which I might have to "think" about otherwise.

OK, well then your calculator satisfies your definition of "thinking".

I'm concerned to know whether a machine is doing what my dog is or I am. And mostly when people become hysterical or tedtalky (which is the same thing most of the time) about AI they are presenting an "I, Robot" future where androids dream of electric sheep.

> and if it doesn't burn jet fuel, a bird doesn't really "fly"

When I think, "I'd like my pen" and subsequently my arm moves to get my pen, my thinking is causally connected to my arm moving. My arm moving is some chemical my muscles do, in order to be connected at all with my thinking, my thinking has to be something broadly chemical too.

The plane doesn't move air out of the way because its flying. It does that because its burning fuel (etc.). "Flying" as a description of what the bird and the aeroplane are both doing isnt actually any physical process at all. Is a pattern they both very abstractly follow that we have invented. In this sense nothing in the universe actually flies: the bird does its thing, the aeroplane does its thing --- and from our point of view, they are both abstractly similar.

IT's our pov which makes them similar though. The airplane isnt distressed to burn too much. The bird is.
How to Tame Google, Facebook, Amazon, and Apple
To prevent others from executing it better than them.
It's foolish but you should have to worry about a thief taking it, not a police officer
If you're interested in this issue, Vox has a good explainer on it: https://www.vox.com/cards/affordable-housing-explained.

This problem has substantial costs throughout the U.S., too: http://marginalrevolution.com/marginalrevolution/2017/05/new... : "Using a spatial equilibrium model and data from 220 metropolitan areas we find that these constraints lowered aggregate US growth by more than 50% from 1964 to 2009."
I admire many of the profiles from the Blue Collar Millionaires show. One couple stands out, they turned a simple auto tow service in cash making machine, brilliant > http://jacksonville.com/business/2017-01-09/jacksonville-cou...
> But there's a serious difference between a down-round that's still makes Uber a uniquely valuable unicorn and the kind of down rounds that a more typical start-up might get.

The best thing you can say about this is that "it could be worse", but down rounds are ugly no matter the amount. Because:

- it indicates a downward trajectory. Start-ups in growth typically IPO at a higher valuation than their most recent round, because they're moving up. But the reverse is also true, so if present trends continue the IPO valuation may be even less. Sure, Softbank may have factored that in, but more ugly news has surfaced since then, like the destruction of evidence.

- Down rounds scare away talent, both new hires (who will be much more reluctant to accept equity) and existing employees (who are going to get fucked over when existing investors demand more equity as compensation for the lower value)
> But that's an insinuation.

No, they're not just insinuating, but ironically you are.
You raise a really fair question, but as of August of this year they had a 76% market share in the U.S.

I agree with you that price is king(cheapest) and on stickiness.

Unfortunately, at the moment, they are the dominate service.
That's the way it would change. Some places are a lot more open to 'directionless' work and others are amazingly focused on deadlines and the like. If a place is cool with you spending X% of your time on open source work that may or may not be directly related to your 'real' work than that's a much nicer place to be.
Ideas are not valuable. A stable of patents backed up with a team of IP lawyers is.
Correspondence of Linear Logic and Geometric Algebra (2000)
Twitter basically just admitted it doesn't understand its own policies
In the context of the later two, what benefits do you think it would add to development that their QMS process plus FDA PMA/510k submissions don't? Legit question, not snark.

For a doctor in a hospital (or building a bridge, or many of the other classic examples), there is often one opportunity to act and it better be right. The cost to being wrong is very high, so the gate is to qualify people before the action can be taken. But you can test the shit out of a car or medical device before it hits the market.
>Because for many employers "ability to program" is a minimum requirement, not the full job description

I think this was the author's point. You state it is a minimum requirement, implying a CS degree is a more challenging requirement. Yet it's not hard to find people with CS degrees who do not have the minimum requirement.
> You're expressing beliefs that others should have their rights taken away. That's unacceptable.

Somehow that doesn't apply to liberals when conservatives talk about the right to own and carry a gun. I find the hypocrisy sickening.
Because patents are valuable. Specifically, blocking others from executing.
So, they have all the codes and manuals to be able to control the probe after 37 years. More than that people able to operate those manuals.

DOCUMENTATION FTW.
That’s an amazing hack. Cutting a lot of corners, the entire program of the calculator is 320 instructions, on a cpu that doesn’t even have a ‘multiply’ instruction. See http://files.righto.com/calculator/sinclair_scientific_simul...
How Poly is changing 3D experience
> The house at 1310 Haskell Street does not look worthy of a bitter neighborhood war.

That often happens to people unfamiliar with Haskell.
>often generalists have lots of historic operational knowledge and strong opinions

*citation needed

Edit: to be clear, in my experience the specialists that aren't also generalists on some level are the least productive on the team because they have trouble participating outside their knowledge domain. Maybe I have worked at the wrong places though...
Alibaba's New Bonds Jump as Investors Clamor for Mega Deal
Referencing the '"bad" GM': I'm really surprised they didn't start a new brand. Anecdotally traditional, American car companies have such a bad reputation that I'm surprised they didn't use EVs for a brand reset.
Where are you getting these leads from? How do I know they're vetted? Who are you?
Once you've exhausted the supply of Hardcore History episodes, here are a few recommendations. I think these do a good job of fitting into the Dan Carlin-style "chatting about history" as opposed to the drier "reading off a list of names and events" style:

- Patrick Wyman's "Fall of Rome" [ http://wondery.com/wondery/shows/fallofrome/ ] and "Tides of History" [ http://wondery.com/wondery/shows/tidesofhistory/ ]. Good discussion of the Late Imperial period and of the Early Modern Era. Main disadvantage is that the sponsor messages are like commercials in that they abruptly butt into the middle of the episodes.

- "History on Fire" [ http://historyonfirepodcast.com/episodes/ ]. I find these episodes a little hit and miss, and the narrator's thick accent does take some getting used to, but it's definitely worth a try.

- "MartyrMade" [ http://historyonfirepodcast.com/episodes/ ]. Probably the closest to Dan Carlin in terms of style, where he's using history as a jumping-off point to explore questions about the human condition. Currently it contains a history of Zionism and the Israeli-Palestinian conflict, and also an analysis of cannibalism and ritual sacrifice in history (a companion series to the "History on Fire" episodes about the Aztecs).
> autism

99% of these autism studies are garbage.
Right, American Sprawl has to be put out of its misery. The Nuclear Family - as in born under the angst of MAD - and it’s millions of little castles and fake porticos is over, but beware the European madness of the likes of Courbusier, the banlieues, and the speculative investments aiming at stuffing millions with expensive mortgages and lifetime obligations.
Yes, I'm sincerely grateful for their benevolence. Bless Bezos for providing me this opportunity to purchase my medicine from him.
Hydrazine
That is being overly sensitive.
Probably not, but again depends on the circumstances. If, say, the company normally used Slack but for a single project all communication was strictly off-the-record on something like Wickr. And that project just happened to be involved in an espionage lawsuit. And someone testified that they used the secret app specifically to avoid future litigation...
How I raised $400,000 in two weeks, from 61 investors, through AngelList
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If you think Snapchat is secure or unrecorded, I've got news for you.
In many cases they are, although not “all” it’s true.
propellant, and because they didn't use it all.
When you are told you are under investigation you have an obligation to not delete anything, even if the automatic window expires.

My company has a policy that outlook will expire all messages in my inbox after 30 days (saved messages folders have a different policy). However when we get legal notice IT quickly changes a setting and now it is not possible for that person to delete any existing email. (eventually legal will review every email you have saved, they will then let you delete the ones that are not affected, but they err on the side of keeping anything) Even if you hit delete, the system will not let you delete the message. Our IM system makes it hard to save conversations, in part of make it hard for investigators to get access to conversations.

As for Facebook, that is complex, depending on which situation. If the "evil person" deleted his account with no knowledge that he was under investigation than Facebook is safe. However the evil person could be in trouble if he knew he was under investigation. If Facebook knew about the investigation they could not legally delete all his data, I presume they have something in place for this situation.

Of course in most cases evil people don't know they are under investigation. This mostly is a factor when a company is sued.
He also used "which" improperly (instead of "that") like 7-8 times. Majorly distracting.
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Hacking back is a terrible idea, but companies are still keen to try it
Thank you for this, subie.

The unaware can laugh all they want but the information war is real and HN is quite popular.
Cruise Automation reported 6 disengagements over 2200 miles of downtown SF driving last November: https://www.dmv.ca.gov/portal/wcm/connect/deade5b7-5b10-4b25...

Waymo was reporting 0.2 disengagements per 1000 miles last year, but people like to nit pick those because they're not all downtown miles.

For context humans have 0.006 accidents per 1000 miles driven, and that's counting all the simple miles we drive on highways. So last year Waymo was within a factor of 30 of average human performance, assuming each disengagement was an accident.

If you allow for the fact that with so few disengagements, some of this is noise, and that most of these disengagements would probably not result in accidents, but are rather drivers being cautious and the cars are probably better a year later, I'd say they're probably knocking on the door of human safety at least.

Obviously hard to really say without more data, but the data makes me bullish rather than bearish.
And his road to impeachment looks like the next swing.
It’s a local dish/recipe...not very startup-py I’d say...
> Randomise your bucket names! There is no need to use company-backup.s3.amazonaws.com.

I don't think this is a globally true statement. Random bucket names are hard, not everyone is using s3 with a code configuration and therefore remembering bucket name is actually important.
Gayface AI, research hype and the pervasive data ethics gap
Can't speak for many professions, but a long series of interviews where you do a bunch of modules and meet a large proportion of your team is pretty typical in consulting.
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Not directly, but encourages obfuscated binary blobs, like some DRM decoders and as a new complexity also new security challenges. It is come back to Flash, ActiveX or Java Applets. See top comments: https://news.ycombinator.com/item?id=10487713
Electrical engineering surely is.
The world wide web sucks
>Softbank clearly still thinks that there's a bright future ahead for Uber

That's not an encouraging sign. Large institutional Japanese investors have often been suckers.
This one had me stop

>The explosive growth of the tech sector keeps average age down and depresses average wages. Compared to industries which existed in materially the same form in 1970, we have a stupidly compressed experience spectrum: 5+ years rounds to "senior." This is not a joke.

I agree that it compresses the experience spectrum, but has the opposite effect on wages. It's tough to find any industry that pays more for the amount of experience/education.
I'm fine with those being a limited number of articles per month. If its something important that needs to be shared with people who don't follow the news regularly, then it shouldn't matter if you can only view 5-10 articles a month. If you're regularly following the news and are consuming all of their most important pieces that will matter historically, then you should be paying for it.
This was very much expected, Coinbase asks for your legal info for this same reason.
There's also an Azure CLI. You can spin up a Docker Container in one line:

az container create --name mycontainer --image microsoft/aci-helloworld --resource-group myResourceGroup --ip-address public --ports 80
Why would I want Amazon charging their drones from my car?
Definitely, but when is the last time you interviewed a PhD? If so, did you give them technical questions? The comparison is between practitioners, not academics.

Beyond that, other industries DO use technical interviews. My entry-level interview in finance was extremely technical, but no subsequent interviews were technical. I just think the comparisons being drawn aren't realistic.

I work in med-tech, specifically orthopedics. I recently interviewed for a side job to help build an application related to genomic research. The most technical question I received (related to programming) was "do you have experience in python", and the answer didn't even matter. Why? My boss worked with their lead engineer, and all their researchers know my father. The human element changes things dramatically, and that seems significantly less prevalent in programming.
I have been reading about fractal image compression (don't sue me patent trolls, I haven't implemented anything I promise!) lately and so this doesn't surprise me very much. I also wouldn't be surprised if it turned out that what is happening inside the network is essentially similar in many respects to how fractal image compression works.

Fractal image compression is inherently pretty simple in concept: Find portions of the image that are similar to transformed other portions of the image. Store the things needed to transform one portion into the other, and patch together enough of those to cover the whole thing. Then you can throw out the image itself. You only need the ways in which the parts can be transformed into the others (affine transformations along with brightness/contrast shifts usually). Once you have those, you can literally start with _any_ source image and iterating the application of the transformations are guaranteed to result in something very close to the original image.

A CNN 'rediscovering' this technique feels intuitively like a very natural thing to occur, and the iterative images presented there smack of early iterations of a fractal image 'decoding' from a blank source image. The connection, of course, could be utterly specious and I am just guessing. I am intrigued, however, as I've been wanting to investigate using deep learning to perform VHS video capture cleanup as a side project for awhile now.
Except working in a startup is optional.
All the references I found Wikipedia said it used Hydrazine thrusters.

As to why there's propellant left: it's a sealed system and NASA has intelligent engineering practices when it comes to resource planning.
Sadly this is totally lost. Flatpak actually works with repos. If people would try them they would actually know what this is about
That's fair, but it doesn't mean it shouldn't be there. I think people feel that way about a lot of things right now, like Trump on the news daily, regardless of where you stand.