I dont see the economics of building rockets on moon and mars until they have a complete industrial base and then, 3D printing is unlikely matter. In fact for a long time its likely there will be a surplus of rockets on Mars. Since (almost) everything will have to be imported, but little exported.

It is nice. I guess Im annoyed by their constant focus on it being 3D printed. It does not give the rocket more merit. So far *everyone* is losing money with small launchers, and I dont see how this one will be any different with its pricing. So Im treating it more as gaining experience for their medium rocket. I dont expect Terran 1 to live very long, or to have a significant impact.

Its a little bit difficult to get excited about a small expendable rocket these days, but its nice to finally see an attempt from them. Good luck.

Reddit's "left leaning subs" are a cesspool of misinformation and idiocy.

Some people never grow up :P

Hi, I have a master in computer vision, let me explain.

If you put it in terms of signal processing, bluring is what we call a "low-pass" filter. It conserves low-frequencies, but deletes high frequences. Looking at the image in the frequency domain using a fourier transform makes that obvious. So thats why you can't unblur them. The information is gone. Its like erasing part of an image, except in frequency space.

Some machine learning methods can sharpen an image. Understands that they do not recover the information that was lost. Instead they make an "educated guess" of what the lost information might have been.

> The only possible image that could’ve created the new blurred image is your original photo right

No, its not, and hence the problem.

Its absolutely important that you listen to me now: dont take advice from reddit. It can do you no good.

Seriously the average demographics on reddit is very very young and most teens are at best very naive, at worse cynical arseholes. Mute some subs and live happy.

Resnet was far more efficient than vgg, but its also from 2016.

In the "efficiency first' route there's been resNet, then MobileNet, then many versions of EfficientNet.

I changed my mind, and I will guess mobileNetV2.

"to a top 5 accuracy of 93% or more".

So they take the model cheapest to train that can reach that top-5 label accuracy.

There are droughts all over. Growing stuff in seawater gets pretty interesting. There are a lot of things you can do with seaweed besides eating. Heck if nothing else you can make fertilizer out of it, mined sources of potassium are running out as it mostly ends up in the ocean.

>i'd love to see somebody one day to leapfrog up from what we have with newer technologies

Neutron and Stoke's upper stage both have some pretty original designs.

I hope not as well, but the engineering of it has never mattered much to either group. I guess Im just bitter at all the obstructionism.

Watch canadian environmentalists and first nations delay then sink the project like they are doing for the lithium mines in Québec.

Canada has a lot of lithium ressources, yet the only operating mine is owned and operated by China and all of the lithium is shipped to China.

Im speculating here, but maybe some cosmonauts are hoping for a ride back to not-Russia. Or just some pissed off russian workers, who knows.

At any rate, we did see sabotage on Soyuz in recent years and I dont believe for one minute it was the USA/CAD/EU/JPN crew.

>This is because a micro meteorite has hit that Soyuz capsule

So they say, but who believes it? There has been obvious self-sabotage in the past.

Because of government-garanteed student loans. Plus a lot of american colleges are more resorts than schools now. Hey,top 10 colleges with waterparks!

We need to rethink that higher education should be like now that everyone has basically access to all of the world's knowledge in their pockets. Universities make no sense to me anymore.

Thats one reason Russia actively pursues climate change by the way.

Rule #1 of aquariums: the smaller they are, the faster catastrophes happens.

So in my opinion its less a question of technology than one of size. The larger the system, the more stable it is, the slower changes happen, and the more time you have to detect and fix any problem.

I dont know. Its all a dick parade to me.

The thing with Google was a silly, massive overreaction. Its trivial to get any of these chatbots to say factual errors, because they are trained on massive amount of data that contains factual errors.

>I know that something like that GPT can produce coding if it's asked to though

Programming languages are meant to be super explicit and well structured, right? So for simple procedures, problem definition to python is just a translation problem.

But most of a programmer's work is "figure out what the hell is wrong with that thing", not "write a method that invert this array"

When we say AI, we dont mean AI in the way you are thinking. When we say AI, we mean a software that can get its behavior from data, instead of being programmed instruction by instruction.

It doesnt imply intelligence, not in the way you think. Those chatbots that are in the news lately, they dont do anything like "reason". They are sophisticated parrots. They are statistitical models of what are believable things you can say in certain situations. But just like a parrot doesnt understand 17th century economics when it repeats "pieces of eight!", these chatbots dont reason. They just deduced from pas conversations what are believable things to say.

So

>How far away from an AI program that can maintain itself are we?

I dont know. We dont even have "an AI program", not in the way you think. We have software that deduces from data how to perform some tasks.

>it's software isn't open source though.

They see themselves are some sort of Brotherhood of Steel and I think its silly.

I work in AI. Pretty much all of AI is open sourced and open research too. Google's deep learning framework, Tensorflow, is free and open source. Same with the (IMO superior) Meta's Torch. Its in large part because these two framework are open source that AI is currently thriving. They all publish their innovations too.

But to train large AI you need a lot of data. In a scale that most people can't comprehend. And the network and compute capability to go along.