Kay Ohtie

Wait, inherently? I created a Piper module using the “piper-speak” shortcut program but this is neat if so

A text prompt -> audio is not a transformer in the sense of what people are talking about, and you know it or just don’t care, or don’t wholly understand how these systems work under the hood as well.

What I’m referring to are neural models that take an input audio and are effectively a filter that operates as a neural network. Voice mods, instrument adapters, virtual pedals, amp models… These are all actually transformative. There is actual music and effort going into these. And that is not what Bandcamp is after; those were already in heavy use like 15 years ago.

The things that generate based on text are a transformer in the most technically correct sense but not in the sense of what is meant when people talk about transformative.

They’re fundamentally different purposes and usages. It’s not generated vocals from nothing but the lyrics; it’s someone else actually singing it and then a model transforming the sound to match an intended pre-set trained target, not generalization.

Sure, but we’re talking generative here, as is the article, and to pretend it’s referring to a tool that’s been standard in libraries and even VSTs for over a decade is either misunderstanding the article or being disingenuous on purpose.

If AIGM was like VSTs or vocaloids that’d be one thing. But it’s more like imitation of sounds, synthesizing song chunks instead of instruments and voices themselves.

The best way to think of it is something creating an audio file solely by using the Photoshop clone stamp tool across millions of source files.

I used to joke that the CEO of my former employer must subscribe to some magazine called “CEO Weekly” in which they must periodically mention, in a similar “no examples of usage, just KPIs” manner, webchat. She would always forget about it promptly and then random number of weeks later bug my boss again.

I told him if they want me to come up with how they can use webchat and be their solutions designer they need to double my salary. $60k USD was not enough for being a tier 3 systems admin, a fax and telephony specialist, and figuring out their use cases for them just to check a box that says “we have it!”

Signal have published several times when they receive a request for data and their response.

Due to the mechanisms they employ, all they can actually give is if there’s an account associated with a phone number and the last time it logged in, if even that last bit. There’s some fairly detailed articles diving into how this works so well under the hood from a cryptographic standpoint, but it basically amounts to even addresses of users being able to be secret to minimize shared metadata to a bare minimum.

Also the software is entirely open-source – app and server both – and are frequently audited on this. The server never has an opportunity to receive any plain-text data to store.

The weak spot is always just having access to your device.

I think he’s trying to do the bullshit of creating a sense that people who utilize GPT systems are somehow repressed class in some fashion. I don’t think that the term about cognitive amplification is intended to truly mean that, so much as create the sense that if you aren’t treating it like that output is equal that somehow you’re being judgmental unfairly.

Basically he doesn’t want output from those things to be graded on an equal playing field with stuff that wasn’t created that way, because he knows it fucking fails.