skysight-inc/HackerNews huggingface dataset:
The original 13 colonies were pretty diverse. For example, some of them had slave economies and some didn't. That's a huge difference. Even today, some states are much larger than others, some are very populous compared to others, some are resource intensive others are manufacturing intensive, different ethnicity populations, etc. Their economies are diverse.

> They really can't be compared

Sure they can. They show that a diverse set of "countries" with no trade barriers results in mutual prosperity. It's one of the great ideas of the United States.
Huh? I don't follow.

In [1]: def lred(function, iterable, initializer):
...: acc = initializer
...: def reductor(el):
...: nonlocal acc
...: acc = function(acc, el)
...: for n in map(reductor, iterable): pass
...: return acc
...:

In [2]: lred(lambda a,b: 10*a + b, [2,4,6,3,1], 40)
Out[2]: 4024631

What's stopping you from running these equivalencies in either direction?
> If Tesla turns out to not be capable of deliver FSD, it's a straightforward class action to refund everyone.

And possibly a few deaths, yeah.
Just watched the first two. I would've gone on those, probably wouldn't trust the ai to accelerate fast enough though.
What real world neural network algorithm is "fully baked by the academic community"? I don't think there are any.

I don't think there are companies with products based on AI where the AI has to work for the company. Google uses AI for search but search can screw up and search returns a lot of just indexed results. There's no "real world application" where AI works reliably (ie, gives a result that you can count on). That doesn't stop deep networks from an improvement on applications that were previous a combination of database queries. But this same only-relative-usefulness can be problematic when companies and institutions delegate AI to make decisions where it doesn't hurt them being wrong but it can mightly screw some random person (from credit to parole to whatever).
Driving may require some level of general intelligence and reasoning beyond what a traditional AI can accomplish if they truly want to handle all the edge cases implied by a cross-country summon.
That's why I linked to a list of evidence about it.
Who said it is praiseworthy?
I believe that you think that your answers are true but my desktop will report 12, my work laptop will report 16, my macbook will report 16 as well, my work desktop will report 64 (my surface laptop will report 12 as well, my ipad pro will report 6... I can continue this for some time).

Which machine do you think has the best performance for your app?
Humans are absolutely the subject of scrutiny for this video, and anything else that will ever be related to autonomous driving, because we're the only other source of drivers for automobiles.

The only bar to clear, and I mean the only bar is, "Do autonomous vehicles kill fewer human beings than humans on the road do?"

That's it. When it decreases by even 1 human being below what humans cause, its time to switch over, because like every single mechanical, electronic, and computerized tool, it will only continue to reduce the number of human deaths as we progress with its development.

I get that autonomous vehicle deaths freak people out because they do things a human would never do. But? So what? If 53,000 people die in automobile accidents where they drive into each other because they stop paying attention to the road to reach back and slap their 10 year old who won't leave his sister alone, it makes absolutely zero difference than if the car drives into the ocean and drowns its driver. Same result. Dead person. We only think it matters because we like to think we have control over our lives. You don't and you never will. You could have a massive aneurism the next time you're driving and slam your vehicle right into an oak tree. The Universe is a random uncaring system.

Your life is just a series of mostly random events that you shape into a coherent story because accepting that shit just happens and you have to deal with it is, like, a real bummer, man.
Ask HN: Why saving webpages on hard disk has not got better?
I use Firefox and every time I try to save a webpage, the first try fails! The second one works, but then the saved file does not look like the one you'd see online. There are workarounds such as *.mhtml extensions, but I wonder why browsers have not got better at saving webpages locally.

I've used Chrome too, same problem.
> It also did not work on Linux and presumably not on Apple's ARM CPUs.

Hmm, anyone else find this interesting? I haven't looked into the actual exploit itself yet, but having it work on Android, which has SELinux and/or other protections by default, but not on (presumably) a generic Linux distro, is weird.

I would have assumed it exploited something present only on mobile builds of Chrome, but it affects Windows as well. Odd.
Putting the near-misses and safety issues aside, this looks absolutely maddening and horrible to drive even in the best conditions. Just watching it sit there staring at a plainly empty and clear crosswalk with a green light, the loud blips and alarms as cars get close, etc. would make me so anxious to be behind the wheel.
People tell me I'm crazy when I tell them I always try to avoid driving near Tesla cars on the highway, but it seems my suspicions were correct.
I answered that question in the comment that you are replying to.
I think it would be fairly rare for a 20-something female “influencer” to say she was 31+ unless her age was part of her schtick. In this case, I wound have expected her to lie the other direction — she could pas for younger than 25, so “Heisei ??” seems like it would have been more likely.

The shift from 20s to 30s for females in Japan is generally not a welcome one — pressure to marry, have kids, “settle down”, etc. are very real. It is also perceived that women in their 30s are not as “cute” (something often sought after, especially by public entertainment figures).
The Swiss really Miss their Swiss Miss
Mine did the same.

After digging, I found it was because the charging logic has a bug that fails hard when the battery gets to a certain voltage.

The fix, and I'm not kidding here, is to remove the battery and plug/unplug it a few dozen times; then put the battery back in and plug it in. Repeat until it works again.

I did this for five minutes and it came back to life; I've read of it taking a half hour for some folks.
If curious, past thread:

A demonstration of browser events used to monitor online behaviour - https://news.ycombinator.com/item?id=12985644 - Nov 2016 (165 comments)
write your own code for assignment.

critique the code you copied explain what was good and what is bad.

explain why plagiarism is bad, for you, for your peers, for academe as a whole.

apologize again to everyone who could have possibly have been hurt, like you mean it, not like you got caught.

approach your prof again with your efforts.
Here is Gerald Sussman, creator of SICP and the course, explaining exactly what happened with the switch - https://www.youtube.com/watch?v=cblhgNUoX9M&t=3578s
He also has made some very wild claims with Neuralink recently, at this point I take basically everything he says with a big grain of salt.
What does training a ML model have to do with telling people their new car will have all the hardware to unlock Level 5 Autonomy - when in fact that turned out to be a lie at best, fraudulent at worst? People plopped down huge money expecting Musk's promises to be true...

Here's an article from 2016[1] where Musk makes exactly that claim.

From the video embedded in the article, I'd wager we're a long ways away from any Tesla having anything remotely similar to FSD... yet Musk still claims Next Year™[2]

I'm at a loss why Tesla even decided to wade into the FSD waters. What was wrong with making a really good EV that people wanted to buy? FSD seems to have become a major distraction for Tesla... now plagued with build quality issues and FSD issues.

[1] https://evannex.com/blogs/news/elon-musk-self-driving-hardwa...

[2] https://www.cnet.com/roadshow/news/elon-musk-full-self-drivi...
Any non-AV driver seen doing even 1/4 of what FSD did in that video would have been pulled over and fined. Regardless of their personal driving history. When FSD does cause an accident, the driver who enabled it can also be charged with more severe offenses.
I told you what usefulness I get out of it. Any one of those cores can decode a texture in T time. Do you want me to take T*N time to decode them on the render thread, or would you rather I took T*N/C off render thread on a system with C logical cores? I don't care that T is different on different machines. I don't care that C is different. Even small values of C makes up for some very large values of T on old CPUs.
You and everyone else copying it seems to have DDOSd the site and now I don't get to play with it lol
Three questions about liability and acceptance:

1. How do you handle any liability from having security-sensitive internal docs/info about all your customers?

2. How do you handle any liability from mistakes you make while answering questions? (Of course, both "good" and "bad" incorrect answers can be very bad, for your customer and/or their prospective/customer -- an incorrectly "bad" answer might cost a sale/relationship, and an incorrect "good" one might be relied upon and lead to a compromise incident or regulatory noncompliance.)

3. How many prospective/customers of your customers will accept security questionnaire answers prepared by an outside firm? How many will require the diligence and assurances to come from sufficiently knowledgeable in-house people, with the company standing behind it?
If you drive a car, you don't get a choice. Just because you're not in the Tesla doesn't mean you aren't part of the beta.
Because none of the statements are false, they're "forward-looking statements".
This, specifically, appears to fall into that category.
Well, "For Hackers" is much better than "For Engineers".
I hope as an ML researcher, you're sensitive to the ML/AI usage here.

There are lots of ML algorithms that definitely work but none of involve claims of intelligence. So it's not just "exploratory AI" that you're talking about. It's "any AI", anything claiming to be "artificially intelligent" and fully replace a human in a key decision making position (but not "any ML" since ML encompasses much more boring stuff).
There some interesting writing from Joel Spolsky on these types of FAQs : https://www.joelonsoftware.com/2018/04/23/strange-and-madden...

> When Jeff and I were talking about the initial design of Stack Overflow, I told him about this popular Usenet group for the C programming language in the 1980s. It was called comp.lang.c.

> C is a simple and limited programming language. You can get a C compiler that fits in 100K. So, when you make a discussion group about C, you quickly run out of things to talk about.

> Also. In the 1990s, C was a common language for undergraduates who were learning programming. And, in fact, said undergraduates would have very basic problems in C. And they might show up on comp.lang.c asking their questions.

> And the old-timers on comp.lang.c were bored. So bored. Bored of the undergraduates showing up every September wondering why they can’t return a local char array from a function et cetera, et cetera, ad nauseum. Every damn September.

> The old timers invented the concept of FAQs. They used them to say “please don’t ask things that have been asked before, ever, in the history of Usenet” which honestly meant that the only questions they really wanted to see were so bizarre and so esoteric that they were really enormously boring to 99% of working C programmers. The newsgroup languished because it catered only to the few people that had been there for a decade.

The modern equivalent would probably be sorting StackOverflow questions by votes.
Please don't go there. The number of off-topic threads that argument has generated is ridiculous and has even spawned an entire pointless metadrama. There are a bunch of collapsed subthreads at the bottom of this page if anyone really wants details.

We detached this subthread from https://news.ycombinator.com/item?id=26516818.
Keep in mind that Tesla's approach for solving FSD still uses mathematics that's fundamentally half a century old and is by definition narrow AI, not AGI.
I'm not an expert on 3D engines, but both System Shock and Descent (and the early Tomb Raider titles) also had a "limited" 3D technique which had sloping floors, but a map based on squares, which only allowed rectangular walls (unlike the Doom engine, which had non-rectangular walls, but no sloping floors).
Realistically, it's a display of just how far away FSD actually is. The mistakes the car makes in the video are unforgivable and extremely dangerous.

> I've seen other, equally cherry-picked videos

Cherry picked? Did you watch the video? It's a complete drive through Oakland - not cherry picked snippets.
People seem to blame the people giving out loans or the people receiving them. However, isn't this all the colleges fault for dramatically increasing their tuition over the last 20ish years?

Student loan forgiveness would be nice for the people who currently have student loan debt, but tomorrow, a whole new group of young people will be signing these loans and so what then? If the cost of higher education is allowed to rise unchecked, we are just going to continue to have this problem, no matter how many times we forgive loan debt.

IMO we need policies similar to rent control on college tuition.
I have questions about Waymo's taxi service. I'm certain that they occasionally run into situations that require human intervention, or at least need to be prepared for such an eventuality (see examples below). In such scenarios, what happens? The passenger operates the car? A remote operator takes controls? The car refuses to move and becomes a hazard or causes congestion?

For example, you come up to a 4-way intersection and a traffic cop there signals you to stop and says you can't go through because all the man-hole covers are off, but since you want to turn left you can go through the parking lot of the corner gas station to get onto the other road.

For another example, right after the st-patrick's day parade is over or right after the college town's team has just won the NCAA championship, the street is full of people and the car has to inch forward at a rate of half of a mile per hour and the pedestrians don't get out of the way until the car is about to touch them.
I don't care. You picking the machine is up to you. I only care about giving the best performance on whichever one you've chosen.
That's actually going to be the key argument for Tesla (or any solution) leveling up from driver assist level 2 to full autonomy (level 3 to 6): it will have to be evidence based. The difference is that Tesla is actively accumulating a lot of evidence in the form millions of vehicles actively using this and gathering a lot of telemetry, video footage, etc. in the process.

As soon as it's going to be legal somewhere to remove your hands from the wheel, there will be incidents for sure. And then there will be responses to those incidents. At some point, that drops to acceptable levels and more will follow. Tesla will simply be able to pull out the numbers and say: look we're doing it here and it's fine. Solving the chicken egg problem of having the data to say that is key to ever getting to that point.

Tesla's strategy is not to lock itself up in an ivory tower for a few decades and to then release the perfect system. Companies following that strategy will fail. Instead, they are releasing imperfect software now and they are improving it rapidly and incrementally. As long as they have hands on the steering wheel (level 2) it does not actually have to be perfect. It will give them a steady stream of issues to fix. Lots of real world video footage to analyze. And a track record of slowly improving safety relative to human drivers in terms of numbers of incidents per million miles. Rolling this out to millions of drivers is going to get them a lot of data to work with very quickly. Data is the key thing to have in this space. Without data you can't make progress. Tesla is setting themselves up to get a lot of that. The reason they are getting cocky is that they already have good metrics.

It would be interesting to repeat the same journey with the same car in about a year. I bet it will still have issues but probably less of them. It's going to take more than two years for sure. But ultimately leveling up to 3 and 4 is going to have to be evidence based. And Tesla is building that case by gathering data from real drivers intervening when the software messes up and fixing things as that happens. That's something you can measure. The better that metric gets, the closer they get to their goal. Who else is even close to doing that? I think some of the Chinese manufacturers have shamelessly copied Tesla's strategy. And in some cases the actual software apparently. Regardless, China is the market to watch when it comes to full autonomy. A bit of wild west but they are moving fast there. IMHO if Tesla gets there, those manufacturers won't be very far behind. Unlike some traditional manufacturers who seem to be a bit hands off (bad pun) when it comes to moving forward on this front.
> European powers responded by creating plantations

So European companies setup plantations?

But yes, Swiss chocolate manufacturers have some options:
a) setup a processing plant in Ghana,
b) increase production somewhere else,
c) reduce usage..

Maybe more.
I fixed it, it was an autocorrect typo. Thanks.
There are tens of thousands of videos of people using FSD beta without issue. Why report on the 1-10,000?
Okay, just noticed that the Windows exploits are independent, don't know how I missed that.

The Android vs Linux part still stands though.
Thanks, that's something I didn't know about.
That's probably part of the calculus, but mainly it's to deliver at least something on an over-promised feature.

I also wonder how good the training examples are, if they're just using average drivers without any quality control. Like when I'm teaching someone to drive, I'm following traffic laws to the tee. But when I'm doing my day to day driving, it's mostly about optimizing time. There's probably a reason why Waymo hired and trained drivers to teach their algo in a standardized way.
There's a big difference between promising tech in the future and saying that something is true now.

This kind of marketing is a standard release of information in the form of opinion of the future, which shareholders can decide for themselves whether to believe it or not.

When the SEC slapped him down previously it was because he conducted a release of information about "facts" - not opinion - that were supposedly true now (that he had a private buyer at $x price). This was deemed a market manipulation because it was presented as 100% true. Whereas self-driving cars in 2 years might be true and it's up to individual shareholders to do their own analysis.
More than ten years after ACC and lane keep assist were first broadly introduced, Tesla took those two technologies and rebranded them as Autopilot, conveniently removing the safety feature requiring drivers to keep their hands on the wheel.

Now they've released a "full self driving" beta that can not actually fully self drive without killing its passengers, while Waymo has been operating a publicly accessible, fully autonomous taxi service for years now. Last I checked they don't even have safety drivers anymore.

And somehow, there are still people who seem to believe that Tesla is pushing the envelope.
But it usually marks on coming traffic, it seems to be flat out missing the cars in some cases
And that is totally fine. If you don't care you don't need to know.

That has been my issue all along. Client computation of course needs to know how many threads are available to distribute computation in an efficient way. Why would the host need to know this though?
> Who just wants to ship their code

That exists, its called a PaaS. Kubernetes was not meant to be a PaaS.

I'm starting to think people create these orgs to forward their own career, products, or companies.
Yeah, you missed where it seems to nearly pull out right in front of a truck hauling a boat (~8:27).
Unfortunately for us the US will first need to learn that it’s better to keep US citizens out of prison, being productive in the workforce than locked up.
The odd thing is, either in shmem/mmap, or on disk cache, is most of the fetched state. A simple "tee" of the data out of QUIC would replay the load of the disparate mark-up elements.

It's all there. The problem is deciding how to add code to save it in a rational reloadable manner.

Compared to eg ZFS snapshot: low cost copy on write, saved state. (Admittedly of data on disk, which is the goal here, but then the browser cache is on disk)
Undocumented x86 instructions in Intel CPUs that can modify microcode
It's particularly amusing given that, once the experiment was done, it would have been perfectly acceptable to toss them all into a boiling pot of water at a local restaurant.

As a matter of fact, loosely construed, that might be what they means by "natural habitat"
>The only bar to clear, and I mean the only bar is, "Do autonomous vehicles kill fewer human beings than humans on the road do?"

Not even that, I would totally accept if autonomous vehicles kill only slightly more than human on the road do.
Same here, had to switch off of Firefox
They should, firstly, be held to at least the same standards as other users. If it's not ok for one user to threaten another, why is it ok for a world leader to use your forum to threaten war, especially when world leaders are given a mandate and monopoly on violence?

Similarly, if you would ban someone for repeatedly spreading misinformation, you should ban world leaders. They should be held to a higher standard, not a lower one. Stop creating platforms for despots.
Has anyone given a Tesla -- or any other autonomous vehicle, for that matter -- a driver's test?
I'd appreciate it if the NHTSA and DOT would do their fucking jobs and halt operation of these semi-autonomous 5000lb+ hazardous bots on public roads.

Us non-Tesla drivers have not signed up to be part of your volunteer risk-taking beta-testing team, go do this shit on private roads.
I don't quite get this. Vivado uses Verilog as input. nMigen (and similar tools such as Chisel and SpinalHDL) just write the Verilog for you. You still use Vivado to generate the actual bitstream (assuming you're using an Xilinx FPGA).
I suspect this is using GPT-3 or something
I can’t edit my reply, but I just realized another comment i made might be what you mean in terms of something “being lost” on someone who is using Google translate.

Specifically, even though “Showa ??” was translated accurately, that doesn’t necessarily mean that someone knows what it means (born before Jan 89, that is, the Showa era).

If so, good point!
My take as well. I've known so many people like this. I've been a person like this. Someone close to me is working for a small startup run by a guy like this.

It's an unfortunate flipside to their willingness to work so hard-- they almost need to believe in the impossible to keep up the pace. Ideally there is someone between them and the public face of the company, but all too often they can't help spouting off stuff they should be keeping under wraps in front of TV cameras or in tweets.
> It was him pushing the booster recovery program and leading it technically.

In which way did he lead the program technically?
Ask HN: Why there are so many ads on YouTube?
Am I crazy or what? Has anyone noticed tons of ads on youtube? Every single dang video even as short as 10 mins has several ads. Can't even jump through the video without seeing several ads.
Yes, like teaching a driver who can't understand complex situations, who is fearless and without conscience. Besides that it's the same.