What do you call it when an economic bubble stops growing? In February, stock analysts TD Cowen spotted that Microsoft had cancelled leases for new data centres — 200 megawatts in the US, and one g…
We’ve all had our fun now with watching companies and investors throwing billions on these LLMs but after all that we have something which does not solve billion dollar problems… They’ve already scrubbed all the data out there and let’s be frank here, the LLMs still suck. It feels like chatting with these LLMs is like overcoming an obstacle, I end up doing web searches myself most of the time anyway. These LLMs can’t think or reason, let’s stop trying to fake it and start using these models for something useful. Medical is the obvious one. Surveillance and military will probably be where the shift will be to primarily. There will be interesting things with pattern recognition for sound and images, but that’s about it.
While not as important as medicine, the audio side of it has been amazing for me. Lots of tools available to make mixing easier and ways to capture nonlinearities of certain desirable hardware
There’s a good amount of auto mastering plugins that put out good results, better than I could get anyway. There’s some equalizers as well that make use of it and analyze the track and make adjustments, usually I like what it outputs and it saves me a lot of time so I don’t get caught in a rabbit hole of tweaking
We’ve all had our fun now with watching companies and investors throwing billions on these LLMs but after all that we have something which does not solve billion dollar problems… They’ve already scrubbed all the data out there and let’s be frank here, the LLMs still suck. It feels like chatting with these LLMs is like overcoming an obstacle, I end up doing web searches myself most of the time anyway. These LLMs can’t think or reason, let’s stop trying to fake it and start using these models for something useful. Medical is the obvious one. Surveillance and military will probably be where the shift will be to primarily. There will be interesting things with pattern recognition for sound and images, but that’s about it.
I’m about to resign from a company where the CEO is still saying “We need to utilize AI more to achieve our goals”.
We don’t. We need to figure out how to do basic budgeting and accounting.
While not as important as medicine, the audio side of it has been amazing for me. Lots of tools available to make mixing easier and ways to capture nonlinearities of certain desirable hardware
How do you use it in mixing?
There’s a good amount of auto mastering plugins that put out good results, better than I could get anyway. There’s some equalizers as well that make use of it and analyze the track and make adjustments, usually I like what it outputs and it saves me a lot of time so I don’t get caught in a rabbit hole of tweaking