I am impressed

I rounded. Data collection is like astronomy, it's the order of magnitude that matters.

I see. I graduated as a EE and found signal processing (somewhat along with control theory) pretty interesting cuz of all the math involved. Enjoyed ML too, but a lot of the work around me was more into programming applications using ML rather than tinkering with the math behind it, so was looking for a way to merge signal processing and AI theory...

People have been losing their jobs to automation for centuries. Artists complaining about AI annoy me because they act all high and mighty like they’re somehow above every other job that’s been replaced in the past 200 years.

You’re not above a factory worker who loses his or her job to a robot, but I doubt you ever thought for more than a second about those workers. It’s part and parcel of technological advances and if you want to stay relevant you have to move to higher levels of abstraction. Learn to work with the AI and let it enhance your work.

Yeah, I'm a recent graduate. I have seen signal processing and ML overlap somewhat, but when I saw it written on the site, it felt there was some fundamental use or something.

>If you're looking, you've probably already seen it.

Getting wise master-ish vibes :)

Put this in a $1 app asap...

Yes I wasn't clear on the comparison, but I meant more by analogy that it's possible to hide information in images without noticeable impact to humans. In this space, I just have my anecdotal experience that I can use textual inversion embeddings that use up 10-20 tokens with no reduction in quality that I can notice. I'm not sure how much a quality 'watermark' would require, but based on this experience and the fact that models are getting more capable over time, it seems reasonable to me that we could spare some 'ability' and not notice.

I also agree with the philosophy of 'do one thing and do it well' where limitations are avoided and modularity is embraced. Protecting people from themselves is unfortunately necessary, as our flaws are well understood and fairly reliable at scale, even though we can all be rational at times. As a society I think we're better off if our pill bottles have child safe caps, our guns have safeties, and our products have warning labels. Even if these things marginally reduce my ability to use them (or increase their cost), it feels selfish for me to argue against them when I understand the benefits they bring to others (and myself when I'm less hubristic). To say that, for example, 'child-safe caps should be optionally bought separately only by those with children and pets' ignores the reality that not everyone would do that, friends and family can visit, people forget things in places they don't belong, etc. The magnitude of the negative impacts would be far larger than the positive, and often experienced by different people.

To add to this Receiver Operating Characteristic (ROC) curve also comes from signal detection theory which was established for detection of objects using radio signals.

Modern machine learning is really an amalgamation of older disciplines (signal processing, control theory, optimization, estimation theory, etc…). One example is the LASSO algorithm was originally developed for signal processing applications. So to get to your question, it’d be impossible to capture its scope! Topics like adaptive signal processing, optimal signal processing, image processing, pattern recognition, and estimation & detection theory are all traditional signal processing topics that have merged into the AI field.

Thank you very much! I got it to a point where it "works", but there's a lot of work to be done still. Off the top of my head the TTS pace is a bit off and pronunciation is often clunky, videos are chosen from a random pool and could be matched to the article. But the biggest challenge so far has really been automating it end-to-end in a reliable way

"Give Woody drugs."

Because...?

That’s very impressive, I think you could end up making some money if you continue to tweak it

Oh no, those artists will lose their jobs instead of using AI as a tool to improve their work!!! Just like when Photoshop came out!!! /s

Looking at your background you're a recent (or soon to be recent) BS graduate? I'm asking because when you get into graduate level coverage of these topics there's considerable overlap. In terms of papers, etc I'm not sure you could find a clear line where one field starts and the other ends. Maybe if you tried hard you could say that one has more focus on data-driven methods or something, but I think you'd be able to find so many counter examples that I'd question the point of it.

So to answer your question, I'd say it's all around you. If you're looking, you've probably already seen it.

I mean then you find AI gross generally… and thus, why are you here?

Can someone explain how this differs from the Prompt-2-Prompt system that was used to generate the training data for this model?

>Frankly, I'm not particularly impressed. For the piano snippets, it seems to have mixed in sounds from strings, and both the "professional piano player" and "crazy fast piano player" snippets are basically just random notes with no particular structure. Meanwhile, the "opera" snippet uses piano sounds, which are non-idiomatic to opera. The "string quartet" snippets are not idiomatic to the style of a string quartet (in particular, the "camptown races" snippet completely falls apart at the end, and the "fingerstyle guitar" snippet barely even sounds like string instruments).

I think we have to factor in the rate at which AI is improving. Listening to something like this for the first time shouldn't be a way to decide on a definitive opinion on AI music - rather a glimpse at the early stages and see generally what can be done. Consider where this technology will be in 5 years, could easily be a significant game changer for music in various fields.

Thank you!

Now art will be more concept than skill based. That means a lot more people having the chance to expand their creativity. Yes, such an horrible thing. /s

I have a very basic question. If I have two columns of data:

"Students": ["John", "John", "Roger", "Eve", "John"]
"Sex": ["M", "M", "M", "F", "M"]

can I use different encoding for each column? E.g. frequency encoding for students and binary for sex?Thank you for your answer. If you have tip for basic readings on this, it would be appreciated.

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Okay, thank you for your information. Do you know what is the minimum score after rebuttal to get accepted? Thanks xD

https://imgflip.com/i/796v75