Viewing profile — pdxww

Does it expose any sort of "device id"? Such ids are usually asked for by advertisers and iOS and Android gladly give it to them. I'm sure there are device-id to phone-number maps …

Maybe I don't understand something about these models. If the model was trained to mimic Trump tweets, it means that someone spent days of GPU time to find the weights of the model…

Regardless, this is a bad PR and they are losing potential customers. No one wants their car to be trimmed down just because the manufactures chose so. No, it doesn't matter what's…

The model needs to be retrained from sctratch for different types of texts. One can release a model trained to generate Trump tweets, but it's of not much use for generating fake n…

Luckily, uBlock Origin can block all portal tags entirely.

This sounds reasonable, but I think in practice the capacity of T1 won't be enough to capture long patterns and the F2 sequence is supposed to help T2 to restore the lost info abou…

Can we diff spectrograms to define the "distance" between two chunks of sound and use this measure to guide the ML learning process? Would it help to decompose sound into subpatter…

T1 indeed contains all the info needed, but T1 also has limited capacity and can't capture long patterns. T1 would need to have 100s of billions weights to capture minute long patt…

That's fine. The goal is to map "similar" 1 second chunks to similar vectors. I'm sure this can be done and uniqueness of sound won't be a problem.

I'm not an ML guy, so can't say if this is an autoencoder. We can combine multiple sequences in any way we want. Obviously, we can come up with some nice looking "tower of lstms" w…

1 second of sound. Or a few seconds of sound.

We can think of a ML model that takes 1 second of sound as input and produces a vector of fixed length that describes this sound: S[0..n] = the raw input, 48000 bytes per second of…

The same way we map words to vectors or entire pictures to vectors. We'll have another ML model that would take 1 second of sound as input (48000 1 byte numbers) and produce a say …

To illustrate more this idea, let's use soundtrack v=negh-3hi1vE on youtube. Such soundtracks consist of multiple more or less repeating patterns. The period of each pattern is dif…

Unheard of. This is why in the US we have the 1st amendment backed by the 2nd amendment. The freedom of speech can't defend itself. What needs regulation is ISPs and companies that…

That CodeNet would be the SkyNet, essentially. What's shown here looks impressive, but it's the same good old text generator that can produce something that looks very similar to t…

Impressive. Would this model benefit from something like "dilated attention"? Instead of feeding it raw sound samples, we could split the input into 16 sec, 8 sec, 4 sec and so on …

If this idea worked in practice, go-ipfs/js-ipfs wouldn't have so severe problems with connectivity.

How could you possible make such a DHT? We live in the world of NATs, especially symmetric NATs, where each mobile phone user gets assigned a random ip:port every time it makes a c…

It would. As it was mentioned earlier on HN, a woman can get 100k in tax-free alimony payments from a guy making 250k. She can even get his house.

This is not a roadmap, but rather a wishlist. There is a fundamental problem that IPFS needs to solve first. This problem is called an efficient WebRTC-based DHT. In order to chang…

An airplane usually spends 1-2 hours in the airport between flights. During that period it needs to be recharged.

If we look at this from a buddhist's point of view, then there is no luck: the author did something in past that allowed him to use this opportunity and what he did could be comple…

Honestly speaking, since it's an anonymous forum, what's the difference between L5 and L7? Like if I was asked the same question - the difference between L3 and L5 - I'd say that i…

And this is irrelevant also, because we can introduce sampling the way I described and can continue driving just fine.