skysight-inc/HackerNews huggingface dataset:
> My un-provable suspicion is that civil discourse itself is being targeted by nefarious forces.

I don't know if it's a collective of forces, but I have to agree with the opinion that civil discourse is being targeted.

There's been enormous political polarization in the past decade or less, and there is a growing list of topics or social movements that if I even LIST as debatable or in need of further discussion, would put myself in great danger of being targeted, defamed or worse.

And the worst part is, once you have been attacked and mobbed by this new public shaming tactic, very very rarely is being defensive or opening a dialogue something people want, they just want vengeance, and submissiveness.
> I am curious - how old were the houses that were getting demolished in Minneapolis?

> A lot of the houses that would be torn down SF are nearing 100 years old. That probably sounds comically young to people from Europe, but SF's neighborhoods are among the oldest west of the Mississippi.

I grew up and currently live in south Minneapolis, my parents house was built in 1908, most of the neighbors houses were built from around then to the early 1920s. The place I'm currently in was built in 1914, so seems to be about the same age as the homes your describing in SF.
> You could, but you're not a billionaire running multiple companies that have already done a ton of things that many, many experts said could not be done.

Like what? I often hear people saying that experts were saying it's impossible to land a rocket or make a good EV car. But I didn't hear experts saying that.

What I did hear, is experts saying it's impossible to make it in cost effective way. And for that - economy for spacex is still to be proven. Tesla is still bleeding money (apart from occasional financially engineered quarters).

That being said - while I think most of his companies are doomed to fail (due to gross mismanagement), I'm happy Elon is around. He's lying a lot, and always overestimating by an order of magnitude what he can deliver. But he does inspire people to go into science and engineering - spacex landing rockets are saturn 5 or space shuttle of this generation.
Sending to Chinese government servers or Huawei servers? Not a convincing article.

I feel uncomfortable with what seems to me to be a campaign against Huawei at the same time our government is worried about being competitive in 5G tech. I could be wrong through, I didn’t believe that Russia would dare to meddle in our election until there was hard evidence.
I don't think the issue here is requiring the matrix coefficients to be real (I don't think that complex values make sense there at all), but allowing arbitrary real numbers. In such case you can show algorithm, for which there exist matrix with real coefficients such that it solves halting problem - the trick is encoding infinite amount of information in the real constant.
Apart from the map data going stale as it gets out of date, you always have the problem of registration of the vehicles position within the map. GNSS data can have a really long tailed error distribution (particularly within urban canyons and in tunnels). So you always need some way of making a local map and placing it within the high detail global map. There is a pragmatic argument saying if you already have a detailed local map, do you really need the global map apart from high level navigation tasks.
"seen as" is the key here. "The masses" ultimately usually get to define terms, for good or bad. The gestalt or "feel" of what OOP "is" is often shaped by common languages and their common usage, again for good or bad.

It may be better to define specific flavors or aspects of OOP or OOP-ish things and discuss them in isolation with specific scenarios. That way the messy issue of canonical definition(s) doesn't come into play as often.

It would then be more of "hey, here's a cool feature of Language X or System X! Look what it can do...". Whether it's canonical or not is then moot.
Individual actions to enforce norms often costs more than the individual infringements. Arresting, prosecuting and rehabilitating someone who commits property crime could cost many tens of thousands of dollars. It's worth it in the long-run, though, despite game-theoretic oversimplifications, because it reduces crime in the long run.

(Almost) everyone agrees that protectionist policies are directly harmful to America's economy. I wonder if people might be more willing to accept them as tools to encourage change in other countries behaviour if they were sold better, though, or sold by someone else.
Europe is a very fragmented collection of independent countries with massive bureaucracy, lack of intercompatability, and historic division.
I actually prefer the Griller Prime[1] by Morningstar to every veggie burger, even including the Impossible Burger.

The key, which my mom used to yell at me for, is to put the burgers in an actual toaster(not a toaster oven) on high until they are crispy and sizzling.

It is divine!! (Saying this as a vegetarian whose tried hundreds of burgers.)

Prime grillers have egg whites in them though. But normal Morningstar grillers do not. But normal grillers are no where near on the taste charts..

[1] https://www.morningstarfarms.com/products/morningstar-farms-...
Nuclear energy belongs into the progressive discourses
There's huuuge difference between telling someone to stick something up their butt VS repeating, multiple times, to millions of people, that someone is a pedophile and you have proof of that.
He mentioned that all their cars since 2016 have had redundant power steering, redundant wiring and even redundant power. Even if it loses the main power pack it can still steer and brake safely.

Given that so many Tesla owners have complained about the power steering and wiring going back (and the delays in getting these issues fixed) the most likely explanation is that Tesla is attempting to forestall maintenance issues by simply adding built-in backups rather than by improving quality control and making the primaries work better.

IOW: having built-in redundant parts for some of the most important parts of the car--which aren't known for breaking down in cars from other manufacturers--is actually a sign of failure on Tesla's part, not a sign of forward-thinking.

Entire car rated to 1 million miles (including the battery pack) with minimal servicing

That's nice. Tesla can't manage to get car panels aligned properly, and a number of cars are still awaiting parts a year or more after they went in for service, and Tesla hasn't managed to fix its own billion-dollar factory line to work properly...but in 5 years they're promising better-made cars than any other car maker? Toyoto has earned the right to make that claim with their decades of consistency. Tesla hasn't, especially not after the Model 3 fiascos.

Level five autonomy at the end of 2020. Remove steering wheels and pedals from cars a year after that.

Call me when they manage to actually stop their cars from veering toward freeway dividers. It was still happening as of November 2018... Also, there's the pesky little problem of Tesla not yet having demonstrated a door-to-door trip yet in uncontrolled conditions despite promising that back in 2016.

After robo-fleet goes live Tesla will be "massively profitable"

See above. Need to hit Level 5 before then. But based on all the lots filled with unpurchased Model 3s, they'll probably have the fleet for it if they ever achieve Level 5...
> My point was that it appears that Tesla doesn't have a large and varied dataset. It has a small and pre-selected data set,

I don't thinks it is a fair characterization: first the notion of "large" is fairly subjective. But more importantly the fact that they collect data on pre-determined triggers is just a guarantee that the dataset is not over-fitted (let say to the 280 and 101 in the Bay Area and to Elon's commute in LA) and instead has good coverage of the world.

Their capabilities of triggering on situation allows them to grow the dataset quickly in a supervised way. It is all about the granularity of these triggers, imagine that you can express "collect situation in tunnels with jerk higher than X m/s3" or "collect all lane change abort in snow condition", ... In the next 24h you get data from all over the world and this data is automatically tagged and classified by the neural net.
I have been watching your thread and saw your addition.

That crazy and cool and good money. And something surprising to see on HNews.
Hold shift while pressing "W" to unlock a secret walk cycle.
A book to learn R and Python in parallel for Data Science
Yes - thank you for the correction.
Exactly my point, I don't mean to brag but just picked react and redux 4 months ago. I'm already one of the most productive react-redux sr. engs at my current job

Is not about me being a "ninja" is about me doing this computer science thing for over 20 years
There's no way for me to phrase this while coming across as civil, but I'm genuinely curious: does anybody actually believe Musk? If so, why?
Not really. Even in bay area there are plenty of places that are better than crack dens for 1mil. But yes, a few places in the world are very expensive.
OK, so Google CAPTCHAs using Tor can be almost impossible.

But using nested VPN chains, in a VM with a basic Firefox install with NoScript and an ad-blocker, I see hardly any CAPTCHAs. Sure, everything that I do is tracked and correlated. But it's just linked to a VPN exit IP, and a made-up persona. I actually go out of my way to link everything in this VM to Mirimir.
>> how could it be that Tesla

> Mate, it's a dot product with some memory attached, and not a single detail your half hour deep dive has gone into suggests anything other than a bog standard ASIC.

There you go, you answered the question Musk put forward. Grats.
Slightly off topic; My favorite clothing brand is made in India; Robert Graham. Allegedly, they were the only place that could make what the founders wanted. He'd been searching for nearly a decade till he found a manufacturer in India that showed/proved what he wanted could be done.

Sure, some of the clothing from RG can be a bit, gaudy, it's the more subdued stuff I'm into. Most importantly, build quality is literally off the charts. I have shirts from RG that I've had for 4 years that still look brand new, even the collar is still crisp and looks new.
Quick look at their earnings shows it's not true. With amount of cars they have, even sending tiny % of it back home would require Tesla to spend billions on datacetners.
The hypothesis for many prion diseases is that of "seeding" whereby a small number (or maybe even a single) prion protein acts as a template to induce misfolding of other proteins with similar sequence but native folds [1,2]. This causes a chain reaction in the proliferation of the prion protein inside the cell, and then in other cells as prion proteins are transported/secreted to the surrounding tissue.

[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3665718/#S1titl...
[2] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5449729/
I don't think OP has moved the goalposts at all. LIDAR can work in snow but cameras get covered. And yes you are right, there will be a decent time between testing in some basic scenarios and testing in all scenarios. But I do not understand why Mr. Musk is trying to reinvent the wheel and rely only on vision when LIDAR has already shown that it works better.

https://www.cambridge.org/core/journals/journal-of-glaciolog...
I am also from the US, and I frequently hear (in decreasing order of dominance):

“Apple Pay” being used as a generic for “phone-based contactless payment system”, “iPad” as generic for “tablet”, and “iPhone” as generic for “smartphone”.
Indeed, Tesla is on the wrong side of history in sticking to their guns on pure vision autonomy.

And they're going to kill people.

It's hard enough already to communicate to the public in any meaningful sense ML results without #SKYNET brigading, Tesla is going to make it 100x harder dragging us all through their mud.

I think at this point (of having been a matrix boi long enough) I am allowed to publicly state my belief that we are very very very far away from human-level visual perception. Just staggeringly, incomprehensibly far. We've just barely started to be able to do the most basic things, sometimes.

Is it an incredible amount of collective dunning-kruger that is blinding tesla? Or perhaps willful ignorance?
It's still such a niche market that expanding it right now is the best thing for all the players. Beyond Meat revenue is $33m compared to say Tyson at $33b. The veggie meat market is also a lot less homogenic than meats since everyone makes their own proprietary blends from thousands of possible ingredients. Compared to say cheap chicken where it's impossible to tell brands apart.
No, because there is no shortage. If he is forwarding them multiple candidates they want to hire, there's no problem.
Are they complaining about someone else implementing the same API? Since the entire point of an API is interoperability, what could the problem possibly be? Are Smartcar claiming their product is a series of URLs? And that sounds sane enough to defend?

Or are they complaining this other company is copying their documentation, which is evidently released with a permissive license? Is Smartcar's product the API documentation?

Either way, this is far removed from my understanding of how computers work. Copyright exemptions for compatibility work have a long precedent. If Otonomo's business model is to build Smartcar-compatible products, and Smartcar does not like this, it seems like they should have more carefully considered what their product is, and how to protect it.
Back in the mid 90s my colleagues and I from the warm southern US found ourselves on the freezing winter streets of downtown Minneapolis after dark. We had brought coats but were still quite unprepared for 10 below zero F. As we wandered around looking for a place to eat, we spied a small well-lit door leading down to a basement. The waitress saw us, threw open the door, and said "You get in here. You're about to freeze to death!"

Whereupon we had one of the best and most welcoming meals I remember. That was my introduction to Buca di Beppo, and no matter what anyone says about it, I will always be fond of the place because it saved our lives that cold winter night.
> What I think is really interesting is that the Virtual DOM was touted as the better abstraction when React came out (in comparison to Angular's dirty checking).

I think the VDOM seemed to offer a maxima and people thought it might be a global one (even though in hindsight it seems like a silly proposition). Angular certainly hasn't exactly delivered on performance in any meaningful way that I know of, at least, so maybe the VDOM, even if it was a local maxima, was still the better of the two?

As a basis for a durable design and a way to move forward, clearly we have a better way, though, but that can only be illustrated by a project actually doing well at it.
If you're interested in Rust or Go, learn rust and go... if you want to use them with WASM in browser (for now) or out of browser with an existing runtime, then there's room to learn that too. All the same, best to just learn a language that already has decent WASM support first, and go from there.
I run a do it yourself web site builder for clients that need simple website and e-commerce.

I sell payment processing services for First Data

I run a while label payment gateway

I build custom apps for payment terminals.

I have a rental property.

I'd say I make roughly 2k a month with out really having to do any work. But Payment processing with in the next six month could generate me around 6k/m. I have some big deals in the pipeline.
As I've said, anyone can compete and enjoy success in China. However you must follow their rules and there will be subtle to overt controls placed on your operations and growth if you ever come near risking their political positions or existing monopolies.
> our application (unknowingly) depended on that

Ah, the good old "unrealised infrastructure dependency" - nice to see you my old friend. People that have never been bitten by one of these never built anything worth talking about :)

It's worth observing that Gatling (load testing tool) supports HTTP/2.
Once you've got the hang of it, you can fairly easily build load profiles to simulate situations like these. Probably wouldn't have helped you prevent the situation - unknown-unknowns being what they are; but you might find it helpful during remediation.
That's an idealized but incorrect version of the news industry.

We know that news companies work with PR firms to publish ads as articles. The "suit" PR that is famous here.

http://paulgraham.com/submarine.html

We also know that news companies sometimes kill or refuse to cover sensitive stories that might reflect poorly on their benefactors or their politics. We know that the news companies attack social media as being toxic while demanding preferential treatment on the platforms they say are evil. I don't think we should view anything industry or government with rose colored glasses. The forces of money and corruption are felt just as much in the news industry as it is in every other industry and government.

But I agree with you that as long as the message gets out, it is a net benefit to society. It is better The NYTimes exposes privacy concerns even though they themselves violate their customers privacy. We don't live in an ideal world so we should hold everyone to an unattainable ideal standard.
Do you terminate http/2 at the load balancer and convert it to http1.1? Or do you support http/2 all the way to the end service?
I would imagine the former would solve these issues.
Knowledge Management for Data Science
What tools do data scientists use to manage knowledge to avoid lost research/ideas and drive code reusability?
No idea, unfortunately.
How often do you have emergencies? Seems to me that if your life is going sideways, paying the penalty to get money out of your 401k would be worthwhile; but I expect that my life generally won't go sideways, so the extra percentage of income is more likely to be a benefit than the potential penalty is to be a detriment.
For people that like to eat healthy, how do you feel about eating something as processed as the "beyond burger?" I get that it's nice to have another option but to me it's hard for me to stomach the ingredients especially with canola being the third ingredient.
Shocking images show surfer paddling through mounds of plastic trash in Mexico
Except it's not actually shocking, its sadly expected.
Kube-OVN:An Open Source Advanced Kubernetes Network Fabric Based on OVN
Well that's exactly what Trump is doing with his trade war [1].

The goals are: 1) removing trade/current-account imbalance (which has improved on its own due to the massive spike in Chinese tourism [2]), 2) allowing more Western companies enter China without forced technology transfer or other "unfair" practices, 3) reducing the rampant intellectual property violations in China.

[1] https://en.wikipedia.org/wiki/China%E2%80%93United_States_tr...

[2] https://www.economist.com/finance-and-economics/2019/03/14/c...
I've only got experience with aerial survey lidar, but "blinding" the photomultiplier with your own transmit pulse is pretty common, e.g. hitting something retroreflective like a cats eye marker or a street sign. Even the sun off a puddle can do it too. It is a pretty obvious artifact to recognize and remove. I guess it would depend on the mechanism of the lidar (i.e. if it is scanning then what is the probability that the different cars are scanning at each other at the same time, probably low). Might be a problem if they use flash or geiger mode lidar. But then the pulse rate would be lower. Interesting to think about. I'm sure the people working on it would have an answer.
The downvotes agree, but the parent comment didn't try to argue against an equal propping - they argued against any propping. The US has quite clearly propped up specific private business in the past - banks that failed to responsibly offer loans were bailed out, the auto industry has been bailed out, defense contractors only exist due to the immense amount of the total tax revenue that gets funneled to them.

Amazon has past the point where vertical integration questions should be raised and a break up should be considered for the public interest - not pursuing it for them (or Walmart, or Google, or many other too-large-to-fail corporations) is another form of assistance the government offers them.

The US is not a free market and participates in private industry subsidization both with and against the public interest but, I agree, it's no where near China's levels - to keep it from getting to those levels we need to acknowledge how bad it has already gotten.
We are on the same page friend!

I’m glad to know that I’m not the only one who thinks a bunch of the cloud APIs are insane. I haven’t had to deal with any of that for about a year now, and I’m quite happy about that.

Re: Python and pandas, I haven’t used pandas, but did quite a bit of numpy/scipy/matplotlib stuff in the past. Jupyter doesn’t quite get where you’re talking about, but it does handle the “only have to repeat one step” things very well.

I only recently feel like I truly grokked the magic of the Common Lisp restart/repl/debugger stuff. Just the other day I used quicklisp to install a package, and at runtime it failed to open a C library (libsdl2-image.so or something like that). While it was paused asking what to do, I used apt to install the missing libraries and told it to retry. Boom. Program was running, and I hadn’t had to restart it even though a shared library was missing when I started it. Hacking on the little game I was fiddling with, I could C-c C-c as I added features to the game and keep playing it with the changes. Un-friggin-believable.

Edit: and yes, if I have to make a backend service these days, it’s generally in Elixir. Not quite the same as the beautiful Lisp stuff, but when your processes are expected to die all the time, it’s really easy to iterate quickly while keeping the system up. I feel like mistakes I make while writing Elixir code help make my overall system stronger.
For vertical integration to work you need to have funds to support it long term. Apple has it. Tesla - not that much (at least not in the current state)
I mean I feel about it like any other processed food.... consume rarely
Karpathy is great at presenting executive-101. However self-driving is much much more than image classification. You have a time component, you need to integrate information as it comes in to meaningful state (aka SLAM) and make sequential decisions that has potential to kill people. This is still unsolved research problem unlike punny ImageNet classification. Karpathy could have easily spent entire day talking about current state of the art and how they have improved on it but instead we got Deep Learning 101. I hope he didn't intentionally used this tactic to avoid talking about the elephant in the room. It seems they are hell bent on vision-based end-to-end learning which vast majority of experts would agree that is far away in the future. So this whole thing is quite bold and if they really make this happen in 1yr3mo then I'd say you should dump your entire 401K in buying Tesla stock. Collecting data is actually more trivial part of this problem.
LyraMcKee Protest with Red Paint at HQ of Saoradh, Linked with New IRA
is sleeping more the secret to living “forever?” it would be ironic if we could live 1000 years, but only be awake for 1 hour a day, for example.
How much of those are legitimate though? There have been cases of fraud and falsifying information.

"Since 2012, the country has retracted more scientific papers because of faked peer reviews than all other countries and territories put together,..."

https://www.nytimes.com/2017/10/13/world/asia/china-science-...
Goodbye to India's hopes to control ultrasound scanning of pregnant women to prevent gender selection. :(