_coveredInBees

They are already deploying the kinds of models talked about here in their FSD beta software (along with regular FSD/AP software) and they run just fine on current FSD hardware in the cars with acceptable latency. Just because you need a monstrous supercomputer to train these models doesn't mean you cannot run inference on them on much more light-weight devices. Some reasons being:

1. Training requires them to make use of ridiculous amount of data which requires large GPU compute + RAM and super high bandwidth to keep the GPUs fed at all times. Backpropagation requires a LOT of bookkeeping that adds on a lot of RAM requirement at train-time.

2. Inference is a lot easier. You just need to worry about keeping up with your 8 cameras and running them through your network. You also aren't calculating any gradients and dealing with needing to do any of the bookkeeping for backpropagation so you need a LOT less RAM

3. There are a ton of tricks you can do to make a trained network a lot more efficient for inference such as lower precision models (int8 or in their case, CFP8), network pruning, compiler tricks, etc.

It is quite impressive that they've managed to fit all this into their current V3 hardware. That being said, they are definitely starting to really hit the limits of V3 and in the long-run will likely need to upgrade the FSD hardware on newer cars. They are probably trying to avoid having to provide a retrofit for all cars in the fleet as that would be prohibitively expensive.

Samsung gets a bad rap when it comes to software imo. There used to be a time when it was perhaps well deserved but that was a LONG time ago. Samsung's browser is hand's down the best Android browser I have used in years and continue to use. It has fantastic built-in dark mode support, ad blocking and is amazingly snappy and responsive. Far superior to Chrome and Firefox as well as anything else I've tried.

I've used my S9+ with their flavor of Android and other integrations for many years now and my phone still feels just as snappy and great as the day I bought it.

I'm the opposite. I can't believe that Finder is the best Apple can do for a file explorer. It is an absolute abomination and after 4 years of using my MBP I still hate it passionately every time I have to use it.

I agree that preview is nice, as is Spotlight. But for me, OSX is getting too locked down at this point as a "power user". The sandbox makes apps take obscenely long to open like as if I've been teleported to the 90s with spinning disk laptop hard drives. A bunch of useful preview extensions all broke with Catalina's latest efforts to lock things down more and more. I hate how many hoops you are forced to jump through to get any non appstore app to get installed.

I thought OSX + MBP would be a solid and stable experience but I've been plagued by a well known kernel panic based error very frequently when I plug into a dock, resulting in hard reboots.

I'm definitely going to switch back to Windows with my next laptop. I'm sure there will be things I will miss, but OSX hasn't lived up to my expectations. I do most of my work on an Ubuntu box via VNC/SSH, and the lack of CUDA support makes the MBP kinda useless for prototyping ML/DL stuff as well.

Thanks for the reply. Unfortunately, Apple refuses to make laptop docks for their own "Pro" line of laptops, which means you have to resort to 3rd party docks. And I'm not using cheap docks here. I've tried several $200-$350 Thunderbolt docks and I've had this issue on every single one of them. Meanwhile my significantly older Dell laptop has no issues on any of them. It's hard to give Apple an out on this when they won't even make an overpriced dock that I would still purchase just to retain my sanity and have the ability to easily work on a 3 monitor setup without random reboots.

The Yankee players all had J&J vaccines, so not the mRNA variety.

Yes, All of the Yankee players who were vaccinated had J&J. Also, most were completely asymptomatic and no one had serious symptoms. All-in-all, it was a success story for vaccines.

This is an infuriating bug that impacts my 16" MBP. Everytime I plug into a thunderbolt dock I have a 50-50 chance of a hard reboot due to Kernel panic. There have been threads about this issue for a couple of years now and nothing has improved.

I originally came to the MBP from the world of windows and being very jaded by BIOS and sleep issues with my Dell XPS 15. Macs just work they said. Well, jokes been on me. I literally have to constantly mute myself during video calls because my $3500 MBP fans are always whirring away so loudly that it ends up fucking up the audio for others during a call. I've had my entire system throttle and grind to a halt during video calls because of thermal throttling when temperatures got higher during this summer.

I'm so over Apple and their laptops. My wife's MBP has a swollen battery that's destroyed the touchbar and touchpad. For all my complaints with Dell, it was nothing in comparison to the pain of owning my MBP. Multimonitor support is a joke. Docks are a joke. Opening apps is a fucking joke due to their sandbox slowing things down to the point that opening any app takes 5-10 seconds.

At this point all I do is use my $3500 MBP as a VNC client to my Linux desktop where I get all my real work done. This is the first and last Mac I will personally own. I can see why they were as popular as they were with the developer crowd. But Apple has lost its way and doesn't give a shit, at least not when it comes to the developer / professional users that they originally targeted with their MBP line.

I'll be going back to Windows/Linux soon and there is very little I will miss when I make the switch.

I gotta say, I am very impressed by what I've seen with the F-150. It's clear that a LOT of thought has gone into this product and Ford clearly understands their target audience extremely well. There are so many nice features that are so well tailored to folks who buy trucks. All the features to power job sites, etc is really sweet and I can totally see that being super handy. Heck, it would make it super easy to work on projects in my driveway without any worries.

Storage with the massive frunk is awesome. Lots of features around hitches and making it easier to use them and tow with them. Pretty good price point, good acceleration to appeal to the macho truck crowd who will hold their nose while making the plunge to electric so they can feel good about themselves when they floor the accelerator at stoplights and onramps.

There is something for everyone here. Yes, it plays it safe on the aesthetics side of things, but I don't see anything wrong with it. The "safer" aesthetics also make it more useful than the Cybertruck, what with the massive Frunk. Really glad to see some good competition in this space. The next 2 years are going to be really exciting in the EV space!

I know you are heavily downvoted, and my experience is anecdotal, but I proudly bought a Ford Fusion sedan in 2010 (my first "new" car) and I have had nothing but trouble with its electrical systems. It burns out lights every year or other year. It even managed to melt the receptacle for one of the front headlights at one point in time. It eats through car batteries (I'm on battery number 5 in 11 years of ownership) and has had a ton more maintenance costs compared to my 2008 Toyota Sienna that I bought used and has literally had no unplanned maintenance issues.

I'm really happy to see Ford step up in the EV field. The Mach-E looks fantastic, as does the F-150. I have no ill-will towards them and I want them to succeed. But there just isn't anyway I can get over the sour taste in my mouth from owning my Ford Fusion and it is hard to take a leap of faith with them when they are new at the EV game.

> It’s not really about interesting for most people

This is an absolutely ludicrous statement. A very large number of people absolutely do prioritize what is interesting to them when it comes to their career. No one is going to be dirt poor, busking on the streets to make ends meet because they decided to work on self-driving tech. Nor is Tesla in any dire situation that they can't afford to fund their well-paid team of 20-25 ML engineers.

I dunno, self-driving is an interesting computer-vision / machine-learning problem and it is far more interesting than 90% of the stuff a lot of your FAANG companies are spending R&D dollars on. For anyone working in the field, the end goal is extremely rewarding in terms of the long-term beneficial impact on society it would have and the numerous lives it would save.

I don't think Tesla is going to drop FSD R&D anytime soon. They've also built out amazing software infrastructure under Karpathy's leadership to make use of their fleet of hundreds of thousands of cars to run shadow experiments with newer models in the background and continuously collect more difficult and interesting training data so they can improve their models and their internal test-sets for tracking metrics. They are also a relatively lean team from what I've heard, so it's not like they are bankrolling hundreds of very expensive ML PhDs at the moment. It is debatable if they (or anyone else) will "solve" FSD with current approaches, but I think the technology is already pretty fascinating and useful.

Yes, but still no 4K, HDR or 5.1 audio IIRC. Streaming on PCs is just inferior and at this point clearly intentionally so. I was waiting forever for "native" apps for all the streaming providers on the Windows store so I could just use my HTPC as a streaming box without sacrificing on video and audio quality, but the streaming services just don't care as they'd rather have more control over things.

Things have evolved a lot in the last 10 years. I've had an HTPC for that long as well, and it has its place but if you spend a bit more than the $20 for the cheapest streaming sticks, any of the modern streaming devices are extremely snappy and responsive and much more enjoyable to navigate via a remote than dealing with a wireless keyboard and mouse. The smoothness of the video stream is also in general better from my experience than streaming via a webbrowser. And that's setting aside all the downsides of HTPC streaming due to losing out on 4K, HDR and 5.1 audio streams.

I love my HTPC, but its role has changed over the years in my living room.

I have an HTPC hooked up to my LG C9, but an HTPC really is not a great option for streaming content if you have a reasonably good TV and/or sound system. You lose HDR and in most cases 4K streaming if you try to view content via a web browser for most streaming services. You also lose higher quality audio and 5.1 audio streams with most services when viewing through a web browser. And then there is the issue that browser based streaming is just never quite as smooth and stutter free as streaming on any decently capable modern streaming device due to the native hardware acceleration and the fact that you don't have an entire OS with a bunch of other things running on it competing for CPU/GPU cycles at any given time.

The LG C9 processor is quite powerful and extremely snappy. My HTPC is almost always an inferior option on that front. I would rather recommend someone buy something like the nVidia shield instead of an HTPC if they mainly consume content via streaming services. I still like my HTPC for other uses and it is also great for Zoom/Skype calls with friends and family from my living room.

New tooling, new technology and the ability to design it all out from scratch. The Fremont factory was a retrofit of a Toyota factory iirc. It also has been the workhorse for most Tesla cars so it's hard to do any extended updates to it while they didnt have other factories to pick up slack.

Not that I expect the Austin factory to solve all their fit and finish issues, but I am delaying my Model Y purchase till it comes online.

Being India, it almost certainly isn't a labor capacity.

Seriously. Every time I read a post like the parent you are replying to, my eyes roll back a little farther in my skull. It's like they teleported from the slashdot comment sections from 2 decades ago and decided to carry on without missing a beat.

Should be 2**32 above. HN formatting swallowed an asterisk.

Yeah, I'd run into this 2 years ago and ended up also reporting an issue on the Centernet repo [1]

The solution I have in that issue adapts from the very helpful discussions in the original Pytorch issue [2]

`worker_init_fn=lambda id: np.random.seed(torch.initial_seed() // 2*32 + id)`

I will admit that this is *very* easy to mess up as evidenced by the fact that examples in the official tutorials for Pytorch and other well known code-bases suffer from it. In the Pytorch training framework I've helped develop at work, we've implemented a custom `worker_init_fn` as outlined in [1] that is the default for all "trainer" instances who are responsible for instantiating DataLoaders in 99% of our training runs.

Also, as an aside, Holy Clickbaity title Batman! Maybe I should have blogged about this 2 years ago. Heck, every 6 months or so, I think that, and then I realize that I'd rather spend time with my kids and on my hobbies when I'm not working on interesting ML stuff and/or coding. An added side benefit is not having to worry about making idiotic clickbaity titles like this to farm karma, or provide high-quality unpaid labor for Medium in order for my efforts to be actually seen by people. But it could also just be that I'm lazy :-)

[1] https://github.com/xingyizhou/CenterNet/issues/233

[2] https://github.com/pytorch/pytorch/issues/5059

Yup, I still feel bad that the one thing I asked my parents for when they visited the US when I was a kid was for a Calvin and Hobbes t-shirt. I knew nothing about Bill Waterson's stance on licensing at the time and my poor parents spent hours in NYC looking for a t-shirt till they finally found a bootlegged t-shirt.

I can't wait to share my entire set with my kids but I'm waiting for them to mature a bit more before getting them into it since a lot of the humor is lost in very young kids.

Ouch, yeah that does look horrible. Fortunately my C9 won't be getting that upgrade. I'd still buy an OLED TV if I had to buy a TV now, and it would likely be LG, but I'd just budget spending the extra dollars on a Shield or some other streaming box that is ad free and as privacy friendly as possible.

I definitely would support Roku over Google/Amazon. I like having another player in the market that has a "neutral" platform and large support across different streaming apps due to the size of their userbase.

I am just skeptical of something like the Stick+ being snappier or as snappy as the C9 processor. And if I'm looking at dropping $100 on the Roku Ultra, again, I'd rather wait on a Shield update to HDMI 2.1 and then pick that up for $200 in a year or so.

Depends on the TVs obviously. The C9/CX OLEDs have pretty powerful processors and are snappier in my experience in comparison to the cheaper streaming sticks.

The "problem" with the LG OLEDs (I own the 77C9) is that webOS is actually quite good, the interface + processor snappy, and the magic remote quite good for effortlessly switching between your favorite streaming services or Plex. Even with a Harmony remote, it takes 1-2 button clicks to get wherever I need to be.

By contrast, the cheaper Fire and Chromecast devices have always felt much more sluggish. I really want an nVidia Shield but I'm not dropping $200 on outdated hardware when I already have a fantastic HTPC hooked up to my TV.

Fwiw, I've managed to not accept a bunch of license agreements on my C9 and have avoided anything too egregious. It is a glorious panel though and I hope they don't monetize it to the point that you can't use it without an active internet connection.

I still don't get the criticism of Pytorch. If anything, you can get the best of both worlds in many way with their API supporting on GPU and on CPU operations in exactly the same ways.

I really don't understand the GPUs are overrated comment. As someone who uses Pytorch a lot and GPU compute almost every day, there is an order of magnitude difference in the speeds involved for most common CUDA / Open-CL accelerated computations.

Pytorch makes it pretty easy to get large GPU accelerated speed-ups with a lot of code we used to traditionally limit to Numpy. And this is for things that have nothing to do with neural-networks.

Lol, yup, I was just thinking that after I posted. /r/conservative is hilarious in that they rail against censorship and free speech issues and yet basically self censor so strongly that only "flaired" (someone vetted to be part of the group-think) users are allowed to post in pretty much all discussions. And even flaired users who dare to oppose the group-think are quickly banned. The cognitive dissonance on that subreddit is quite amazing.

And ironically enough, Parler, the bastion of "free speech" was happily banning people who were critical of right wingers or did not participate in the right-wing group think on their network.

After rallying against liberals being "snowflakes" and needing "safe-spaces", Parler ironically enough ended up being just that for the extreme right.

Yup, same here. I get that some people don't like it, but it's making a mountain out of a mole-hill. I bet that if you do user studies, you will find that a majority of times people click in the URL bar, they are doing so to either copy the entire URL or paste in a new URL. I know I am and I much prefer the current behavior.

I got 4/4 GPT-2 guesses right. It is impressive but the "tell" I've found so far is just poor structure in the logic of how something is arranged. For example: a bunch of `if` statements in sequence without any `else` clauses with some directly opposing prior clauses. Another example was repeating the same operation a few times in individual lines of code which most human programmers would write in a simpler manner.

It's harder to do with some of the smaller excerpts though, and I'm sure there are probably examples of terrible human programmers who write worse code than GPT-2.