

This is it. Lemmy users are completely unaware of the extent to which they are not like normal people.
This is it. Lemmy users are completely unaware of the extent to which they are not like normal people.
That’s kind of the point. There was a time in the 2010s when each new device could do something that they couldn’t previously do. But it seems like the market has figured out what people want from their phones and that’s what they are getting now.
This obviously falls into the “documentaries and essays” category
The Github UX is amazing if you ever had to use gitlab or bitbucket
Thank you for writing the explanation! I still think that this doesn’t need a blockchain. Instances could broadcast user creation, so each instance could validate user age on its own (or ask other trusted instances when they first “saw” that user).
Fundamentally, blockchain solves the problem that there is no central source of trust, but in the Fediverse people necesarily trust the instance that they sign up, so a blockchain can’t add much in my opinion.
I see. I’m not convinced that proving the account creation date makes much of a difference here. Obviously the instance records when you sign up, so you would only need this to protect against malicious instances. But if a spammer is manipulating their instance to allow them to spam more, you have a much bigger problem than reliably knowing their account creation date.
this account holder has this name on that instance
How would that help? A spam bot could just make lots of blockchain wallets.
you get all sorts of unspoofable benefits from that
what are the benefits? I struggle to come up with any benefits.
If the animations look realistic, it’s almost certainly not predetermined
You could do a perfectly realistic simulation, record the path for each outcome and then play one of them.
Or, if the physics simulation is deterministic, you could store a set of starting positions and their outcomes.
I’m not an expert on Monte Carlo methods, but reading the Wikipedia article on Markov Chain Monte Carlo, this doesn’t fit what WFC does for the reasons I mentioned above. In MCMC, your get a better result by taking more steps, in WFC, the number of steps is given by the map size, it can’t be changed.
I don’t think WFC can be described as an example of a Monte Carlo method.
In a Monte Carlo experiment, you use randomness to approximate a solution, for example to solve an integral where you don’t have a closed form. The more you sample, the more accurate the result.
In WFC, the number of random experiments depends on your map size and is not variable.
it doesn’t train or self-improve like ML does
I think the training (or fitting) process is comparable to how a support vector machine is trained. It’s not iterative like SGD in deep learning, it’s closer to the traditional machine learning techniques.
But I agree that this is a pretty academic discussion, it doesn’t matter much in practice.
I think these two fields are very closely related and have some overlap. My favorite procgen algorithm, Wavefuncion Collapse, can be described using the framework of machine learning. It has hyperparameters, it has model parameters, it has training data and it does inference. These are all common aspects of modern “AI” techniques.
It works as long as you don’t call list()
within that function.
Haha, I completely missed that it’s a game.
I wonder how often someone walks in and tells them about the mistake. Do the baristas have a standard response?
I’ve bought a lot of electronic components from AliExpress and 99% of the time I got exactly what I ordered. It just takes a long time.
The problem I’m having is that I don’t exist online when people try to look me up.
Is this referring to job applications or interpersonal relationships or both?
Now do the other generations!
You can remove things from your watch history