Like, were the other parts not honest? I don't understand how Anthropic let it get like this, it's been such a clear regression

To give just a single example, ai code dev has enabled people to make tools for themselves that they didn't have before.

I've made a language learning app for myself. Its working better than Duolingo so far, for me. Its not really public

I'd imagine an application that uses LLMs will be created that better manages learning. It's just not clear what that UX is yet- it's obviously not just a chatbot

I think right now most people here and on twitter have no taste, and post slop that were just sort of one shotted.

But there are people using these tools in a sort of hybrid way, which I think has incredible potential. You can use it to do CGI on existing footage, in a way that's orders of magnitudes faster and cheaper than current CGI methods.

I also think that the most viable models will be video-to-video, and audio-to-audio.

If you've read A Young Lady's Illustrated Primer, I think you might get what I'm saying. But essentially, you can capture a lot of emotion, expression, etc, using a cheap camera and a single actor, and then use AI to "stylize" it in a really cheap effective way, while keeping the emotion/expression. Adding lighting for example, upscaling the quality, changing the voice timbre while keeping the pacing, etc.

LLMs are so easy to swap out, so having good benchmarks/evals are pretty useful.

Even then, a lot of the time the model improvements are so obvious that you don't even need an eval.

All the arguments I see against data centers are arguments against industrialization. There are also arguments against capitalism and wealth inequality, that I sympathise with.

The dirty water bit is the most ridiculous thing. It's meant to paint the picture that the data centers themselves are using the water and dirtying it, when in reality the cause is the development of the actual buildings and infrastructure, which would happen with any industrial development!

The originals sound very much like demos, and from a producer's perspective are very low quality (no offense). They're definitely more raw, but objectively not as good - i.e harmonies aren't tight, the levels are not well balanced, etc.

It's funny that people hate that AI can improve this, because even without AI, modern music uses a ton of digital tools to mix and master - and true musicians don't care whether it's digital or not.

These commenters would be the same people who boo-ed bob dylan when he went electric.

Look at John Mayer - he uses AI to model amps, instead of lugging around giant heavy tube amps.

Question for you - what was the workflow exactly? I've been wanting to test out some AI tools to do similar things with my music.