skysight-inc/HackerNews huggingface dataset:
Not as much for a product that's been around since 2012 and has a history that dates back to 2007
Is level 16 (three polarizers) broken? There's only one piece you can place, and only 5 places you could place it (that would make sense). Not placing it doesn't work either.
LIDAR is supposed to have low attenuation in water, however it will still suffer refraction. Hopefully it will function about as well as a human. The vision processor will have to understand that it's raining and correct for refraction where possible.

Snow is a different challenge, but a sufficiently smart system should be able to composite frames and appropriately fill in the holes created by being obscured by snow. It won't be trivial, but it should all be doable.
Limited sonar? I'm not sure what sonar has to do with driving. Between luxury cars with soundproof boxing, or constant road/wind house in a convertible I don't think sound plays any type of role in driving
Same: As a backpacker I worked in Kununurra, north of Australia, pruning 500 sandalwood trees a day. With 42•C, we drank 9 liters of water in 7hrs. Legend says a guy of the previous year didn't take electrolytes and died of dehydration. We literally soaked the portable waterproof batteries with out sweat.
1. There are supposedly new lidar systems coming out in the hundreds of dollars.

2. You can be "superhuman" with just image sensors (i.e. without lidar).

That said, I believe lidar is effective for precise object determination e.g. whether a small thing on the road is soft or hard which would help determine if it's a stuffed animal or a real one or a plastic bag in the shape of an animal.
Needs a (2015) suffix, and also see previous discussion: https://news.ycombinator.com/item?id=9266184
It's in the app layer, we dont need a "fifth" layer.

That's raised in the first comment, by Fred Wilson. Naval's response was:

You are correct in that it’s technically another set of application layer protocols – I was just being provocative with the title Although in theory it could be a resource allocation layer on top of SMTP, HTTP, etc. Semantics…
Who are they taking advantage of? The workers who make more than they would otherwise?

Or are they taking advantage of the Americans that they don't employ?
> reveals mainly that engineers don't know much about biology.

reveals mainly that people who don't work on self driving cars know nothing about self driving cars.
OK, but we developed or mental model of the world through those two cameras. I agree that we still have aways to go, the fact is only two cameras and processing is all that is needed. But we can do better with more sensors
Federal Lands
One "reason" would be that FB derives the most income from the US, especially compared to the US. They certainly benefit from the US education system, which at least in part benefits from the infrastructure and social environment in the US that was created and paid for over a long period of time by essentially all Americans.

In the past, you wouldn't even have to ask this question, you would employ Americans as a matter of principle, as a matter of pride, to give back and reinforce this shared infrastructure and society for the benefit of future generations.

But then, none of this really matters in the new and improved globalist every man for himself world. (While the executives preach the virtues of socialist values.)
Well, like any other group there are always outliers. :-)

I've heard many strange things from folks born in 1990 and later; I've actually been told by someone with a straight face that Apple invented the MP3 player as well as the first touchscreen.

The Reality Distortion Field is a powerful thing.
If you noticed, I did say numerical algorithms, for most of which it's usually easy to allocate memory in advance.

I didn't mean anyone would want to do this but just that it's an interesting parallelism for a language.
If I remember correctly, the order was COM, EXE, BAT.

On NT platforms today, this is actually user-configurable via the PATHEXT environment variable - and that definitely has them in that order.

I wonder why that was the case. I remember reading some explanation about how it was about backwards compatibility, but that doesn't make much sense, since the first release of DOS 1.0 already had all three. Strictly speaking, COM as a format predates DOS (it's originally from CP/M), while EXE and BAT are more recent additions, COM files compiled for CP/M cannot run on DOS for other reasons, so there's still no compat issue there.
Not to detract from the fact that autonomous driving has the potential to be safer than humans (if only because it doesn't get distracted), but none of these autonomous responses are "freakishly early". I've seen attentive human drivers respond with similar or better performance. As a matter of fact, let's examine how human drivers responded to one of the collisions in this video.

At 00:28.828, a human could tell that an accident is imminent -- the oncoming car will violate the median should it not apply immediate corrective action. However, other drivers are not obligated to wait until the aggressor vehicle crosses the median to take evasive action! Indeed, the silver vehicle (ahead of the dashcam'd vehicle) begins decisive and correct evasive action at 00:28.328. That vehicle maintains the same steering angle and at 00:29.295 crosses the solid white shoulder/"fog" line -- it's unambiguously an evasive action and absolutely not a normal lane change.

The autonomous vehicle only begins to brake/turn at 00:30.130 (the first frame where the car begins to pitch forwards due to the weight transfer). The autonomous vehicle has begun to take evasive action a full 1.8 seconds later than the silver non-autonomous vehicle. Awkwardly, the Tesla's reaction seems to be triggered not by the median-violating vehicle but by the white vehicle (who is attempting to take evasive action) cutting it off. Worse, the silver vehicle is already crossing the shoulder line a full second before the Tesla begins to brake/turn. This isn't even commensurate with human performance -- the two human drivers visible in the dashcam video react significantly earlier than the autonomous vehicle.

It's absolutely possible to make vehicles that respond quicker and more effectively to impending collisions than humans do. Sensing with radar and IR can give autonomous vehicles information that human eyes simply can't detect -- IR is useful for detecting human presence, for example, and radar can be used to detect positions of cars beyond-line-of-sight. Better sensing translates to earlier warning. Also, when the computer has full control authority over individual wheel torques there's a whole new range of operating regimes that get opened up -- and autonomous vehicles that exploit those have the potential to make cars much safer (see research like http://news.stanford.edu/2015/10/20/marty-autonomous-delorea...). This sort of tactic can use the tyre grip to the absolute limit can let the computers craft the optimal (given constraints such as the vehicle's position, surrounding vehicles/barriers, and tyre/road conditions) trajectory out of a collision and execute it with precise per-wheel torque control (via the ABS/ESC system) and high-speed steering input. Even the best drift drivers don't have that level of control authority over their cars!

There's lots of room to make autonomous vehicles safer than human drivers but this video is a demonstration that autonomous vehicles can be a lot worse than human drivers.
To my limited knowledge, they don't. Deep nets are mostly used by the self-driving companies for processing camera data for image detection and segmentation tasks like detecting other vehicles, recognizing street signs, etc. Presumably, having 3D point clouds lets you hand-code solutions to a lot of these tasks without having to use ML.
Child Marriage in America
My Awful Life as the Internet's Janitor
It's not alphabetic, because the full order is COM, EXE, BAT - and if it were alphabetic, it would have been BAT, EXE, COM.
Spoken like a person who has never been sued.
I guess your definition of 'app' is a lot more liberal than most other people's. iOS, Android, Blackberry, Windows Mobile has a combined 7m apps on their respective stores.

Do you work for Codename One? Your HN history seems to suggest you're quite 'involved' with it.
See my reply in another branch.

https://news.ycombinator.com/item?id=14433246
>https://www.codenameone.com/gallery.html

The Codename One app gallery says otherwise.
China launches advanced satellite navigation positioning system
Personalized pricing, with great details described how it works in retail in era of face recognition, mobiles, web tracking,loyalty cards, data mining etc.etc.

Recommend the read to anyone

The Aisles Have Eyes: How Retailers Track Your Shopping, Strip Your Privacy

[0] https://www.amazon.com/Aisles-Have-Eyes-Retailers-Shopping/d...
Aadhaar per se is quite harmless. It is pretty much what Estonia has been doing for the past 25 years with no ill effects. Quite in contrary. The question is privacy: we have a strong personal privacy law and are moving to make things more transparent all the time. People do care about this. Whether that's the case in India and to what extent, is up to Indians to say.

Ehat I find outrageous is that Cambridge Analytica can assemble a full profile of everybody in the country and it's just progress. But, god forbid, the government institutes an identifier to provide better services!
The Aisles Have Eyes: How Retailers Track Your Shopping, Strip Your Privacy
I strongly believe AI will become a part of us like an external brain

That's optimistic. I can't imagine it would be long before the AI saw things the other way around... and then began to wonder why it was bothering with that slow meat-coprocessor...
Do you use GC or RC on iOS?
I've had a "phases of computing" article percolating for a while to this end. Problems aren't just harder at scale, but they actively change their observable properties because of the stressors involved and where they crop up.
Thanks. That seems a fascinating topic, the emergence and evolution of these "protected classes" over time.

I'll try to descend into your links once I have more time, but a TL;DR discussion on "why we drew the line here, not there" would be great too.

Is it mainly a function of how vocal or powerful a subpopulation is? Something else? What other subdivisions will become privileged next? Where is this trend headed?
The thing to worry about would be poisoning from copper toxicity (by misuse above, or by overuse of copper sulfate), or if made with beryllium, beryllium poisoning. If somehow 30mg/kg of copper were swallowed, it is potentially lethal. And if any food residue is left stuck to a piece of copper cookware, it should be thrown out immediately so it doesn't leech copper out.

If all he ever did was serve a cold moscow mule using his "copper water bottle", maybe the alcohol is the problem. But we only know he used it to drink water and alcohol. We don't know if it's lined, or if the lining was damaged, or if he used a hot or acidic liquid inside it at some point, or whether it has a corrosive residue.
Yeah, I remember getting a huge Microsoft reference book as a birthday present that listed all the BIOS, DOS and VGA system calls and their INT numbers and arguments. I then used it and DEBUG to write a tiny 'paint' program in ~80 bytes that did the following:

1. entered VGA mode
2. enabled the mouse cursor
3. checked the mouse status
4. turned on the pixel at the mouse location if the button was down
5. goto 3
> Yes, it sounds like a COM file, with no relocation dictionary, etc., would have to be loaded at the same virtual memory address.

Because of x86's real mode segmented architecture, it only has to be loaded at the beginning of a segment (i.e. at offset 0 - although actually it's offset 256, with the first 256 bytes reserved for the program segment prefix). The segment part of the address could be anything.

And since real mode segments overlap, this means that the program can be loaded anywhere at the 16-byte ("paragraph") boundary, with no need for any kind of relocation.
Maybe it refers to app downloads/installs? Wouldn't that count as deployed? :)
They must be counting every single test app as being "deployed".
> "stereoscopic cameras on a swivel" !?

The movement, focus and light aperture mechanisms of the human eye technologically outstrip this description so ridiculously that I have to assume you're joking. Try designing and building a system that can change heading and focus as rapidly as the human eye, while handling nearly as high a input dynamic lighting range. Not even considering the physical space efficiency and impossibly low power consumption of the human eye relative to to do its job compared to any manmade sensors.

AI discussions often get caught up purely in processing and learning, but the mechanical and sensory systems of humans are also non-trivial to integrate into machines, and not to be underestimated.
These people don't make any individual decision. They have a word document in front of them with official guidelines for any case.
Pretty sure this is anthropomorphizing too much. Why look for the reflection when you can literally detect around the corner? More, if the system is fully automatic, just regulate the speed so that it can stop in time for events like these.
Blue Green Deployment Using Amazon AWS and Python
Our eyes may be versatile, but I've never heard of a man-made camera that comes equipped with a sophisticated image regeneration algorithm because the film/CCD has a giant black hole about 1/3 from the center.

(...And now imagine it also comes with an automatic jitter motion generator and sophisticated time-differential logic because the sensor zeros out if exposed to the same color for ten seconds.)

We have terrible sensors. We just evolved to work around the problems.
You can rotate polarizers as well :)
Foster city real estate is an enigma. Had anecdotally heard from a lot of people that houses close to the bay are sinking very gradually. Nothing seems to affect the prices though :-)
If a company's solution to self driving cars with just two cameras requires developing a machine learning "model of the world" (I don't think it does, but it does make it a much harder research problem), then they are going to be years behind everyone else in shipping a self-driving car.
Not really.

In developing countries this shift has already happened ('distance' to 'time') due to things like traffic jams, inconsistent infrastructure (some routes are longer but faster due to lesser traffic signals or better maintained etc.)

Maybe it would not be wrong to assert that this shift is more in force in developing countries than other places. This could be due to unpredictableness. The routes that are optimal now - takes less time - can change in matter of minutes/hours (due to procession/rallies, rains, accidents, school & office timings, power failure - leading to stoppage of traffic signals, etc.)

Google maps always give multiple routes to a destination and they differ in terms of time to destination (distance to destination is seen as secondary information on map interface).
> It is not race-related.

I'd tell you to read "Invisible Man" by Ralph Ellison, but I think you would only see blank pages.
> At a guess, previous generations would talk in terms of distance-to-destination, whereas we talk in terms of time-to-destination

I guess this must be a 20th-century phenomenon limited to industrialized nations. My grandparents' generation, who lived in the Carpathian Mountains and relied on cows and wooden-made carts for their method of transportation (when not going on foot), definitely only used time-to-destination. I've never ever heard my grandma' say anything about kilometers, meters, or the like.
The RES browser extension does this without needing gold, or am I wrong about that?
They also offer DOS 2.0.

But DOS had EXE, COM and BAT files since version 1.0.
Six Large Companies Using Big Data and IoT Right Now
شرکت مهندسی شهران سازه آفاق – چطور خطرات گودبرداری ساختمانی را كاهش دهیم؟
There's no reason this exact same method won't work given their current practice though.
I find it interesting that conditions unfavorable to the buyers can arise in various ways without explicit communications between the sellers. For example, this happens if the sellers update prices faster than the buyers can compare them: https://phys.org/news/2012-06-high-gas-prices-self-organized... .
It's really a question of timeframe. You are completely right that we theoretically only need two cameras. But by limiting yourself to 2 cameras (or cameras + other non-lidar sensors) you're just making the problem a lot harder for yourself. That's a lot more computer vision tasks your research team is going to have to solve, a lot more models to develop, a lot more failure cases (less redundancy).

Some of these vision problems have uncertainty over how long it will take to perform at human-level accuracy. Whereas if you go with lidar, I don't think there's any doubt the costs will go down. IMO on the market, a $5k sensor cost is also nothing if your car is actually fully self-driving.
I have no frame of reference for that pay. Is the pay low or normal? Is the main issue the required 6 days/week?
How to Run Algorithmic Information Theory on a Computer (1995)
LIDAR units could cycle through randomly-generated patterns for each pulse - if they can be made unpredictable then it would be impossible for someone to confuse a LIDAR unit by copying its pulses. Assuming it's a time-of-flight LIDAR then the time required for an attacker to read a pulse and send back their own signal would be greater than the time of the original signal to return - and if the sending LIDAR has a sufficiently short timeout then even an attacker using Vanta-black to absorb all of the victim's lasers still won't be able to respond quickly enough.
OK, but this "inference" is not a valid substitute for a logical inference because it produces a different type of result - probabilistic, not certain.

The crucial difference is that statistical inference does not consider any causation, its domain is observations only, and observations only cannot establish a causation in principle.

Correlation is not a causation. Substituting a Bayesian inference for a logical inference should result in a Type Error (where are all these static typing zealots when we need them?).

This is, by the way, one of the most important principles - universe exist, probabilities and numbers does not. Every causation in the universe is due to its laws and related structures and processes. Causation has nothing to do with numbers or observations. This is why most of modern "science" are non-reproducible piles of crap.

Any observer is a product of the universe. The Bayesian sect is trying to make it the other way around. Mathematical Tantras of the digital age.
okay, you drive those 10 seconds until you're on the road and it'll do the rest.
Definitely interested in seeing how Flutter progresses, IMO it has the optimal architecture for developing native, x-plat iOS/Android UI (https://flutter.io/technical-overview/):

- High perf Skia based UI for pixel perfect rendering and high-level Material design widgets
- React inspired, productive development model
- Fast dev/iteration cycles with hot reloading
- Productive and high-performance Dart language, natively compiled (AOT on iOS)
- Enable native interop with underlying iOS/Android APIs
- Actively developed by Google

Overall I think it has a superior architecture to React Native where it will enable higher-perf native iOS/Android Apps in a single code-base but still enables a productive development model with Instant UI updates and hot reloading. I've done Java and Kotlin Android Apps as well as Obj-C and Swift iOS Apps but I find React Native's dev model a lot more productive.

Unfortunately I've run into a few issues with React Native that I've had to workaround which I've submitted repros to months ago but received no response from the React Native team except in the last couple of days where they've closed it without even looking at it because it didn't receive comments/activity from other devs. In the last 2 days React Native has closed 773 other issues because they consider it low priority:

https://github.com/facebook/react-native/issues?q=label%3AIc...

This gives me low confidence that React Native will be a high quality platform with current low-priority issues lingering indefinitely so I welcome competition from Google with Flutter and will be anxiously looking forward to trying it out when it gets out of alpha.
There are copper testing kits for aquarium water, but your health isn't really worth risking with a $10 aquarium test. Throw it away and buy a new one, and research how to properly handle copper cookware.
I would say that there is. Both Xamerian and React Native use the platforms Native views: UIView on iOS and View on Android. I agree that they are just bindings but that is easier then having to reimplement them as they all have small quirks especially when accessibility comes into play. I can't speak of Xamerian but I've written some of those Native bindings for React Native and would not call it requiring 'heroic courage'. It's actually quite easy and if you were on the Native side you'd have to make those changes anyway because those APIs changed.
Do people actually use the Chromebook Pixel Mark 1 in the Googleplex and is 3D performance on maps a problem for them?

A while ago I took off the 'designer' font choices from a website (spider grey text on grey background, kerning mangled) with some local CSS. Everyone prefered the simple legibility to what was on my screen so we set the website to be like mine, legible.

I wonder if some people on the Google Maps team had a similar internal hack to optimise their workflow - turning off graphics cruft - get back to legibility - and if someone got this fed back into the actual design, 'as proven by the team'. I prefer this evolution of design, from people who have to get the data right in the first case and how they 'optimise' the presentation of that information for themselves.
What did Google say the SkyTrain was before? I've been using Google Maps for transit directions on the Skytrain over the past decade with no issues.

I tend to use Apple Maps for everything now since it is more integrated into the system and, like you said, the information is more cleanly presented.
Those are simply much more important subjects for their votes than copyright.
all the negative effects associated with increased salt intake are really negative effects of overeating

I'd also say that plays a role to some degree in real life, but only some.
Net effects of higher salt intake (given oter things remain equal) can exist as well: the article clearly mentions higher salt intake leading to higher glucocorticoid levels which in turn are linked to osteoporosis, muscle loss, type 2 diabetes and other metabolic problems
I understand that traits are something like typeclasses or interfaces: are single-method traits kept around as traits, or is the function itself passed around in the optimized output?

I'm actually suddenly curious about how other functional language compilers look compared to GHC.
How about a Scramble Suit as in a Scanner Darkly ? A browser extension that supplies fake events to all the tracking scripts. Fake website visits, fake clicks, fake session duration. Couple this with a network of VPN so that you are appearing in multiple locations, scrambled with everyone else using the service.