jimmis

This is a strange argument. It's not like there was a huge unfulfilled demand for good musicians before quantization / autotune.

I don't think anyone is saying music should all be recorded "raw" without any post-production. The argument is that the workflows used by most big record producers today encourages "sanding away all of the edges" of music, thru quantization, pitch correction, comping etc.

I'd argue that's only one problem (algorithmic music discovery, and how that removes gatekeeping and incentivizes bland "genre" music being a far bigger one). But the two go hand-in-hand. Lower barrier to entry (of "listenability") + lower barrier to distribution = a music landscape dominated by bland, samey bands.

It used to be the case that the average person didn't "know enough to get into trouble" when it came to software. But now that's not even necessary. I can imagine a layman asking Muse or some other agent something mundane like "why can't I transfer from Bank A to Bank B?" and unwittingly sending it down a rabbit hole where it's trying to gather sensitive info from places that consumers aren't intended to be able to access. Ultimately, it's just exposing pre-existing vulnerabilities. But the job of infosec definitely has gotten, and will continue to get, much harder I think.

I remember in the late 00s when making fun of autotune was a common joke, and a way to attack "bad" or "lazy" singers / musicians. Probably just because some bands were using it stylistically (T-Pain most notoriously).

It was around the same time there was a backlash against the (rather egregious) use of Photoshop in advertising. But for better or worse, in both cases, the use of these and similar tools have become ubiquitous, just in a way that's more subtle.

Nowadays, hearing a band that isn't pitch corrected and quantized to all hell is refreshing, similar to seeing an actor with imperfect teeth. It feels like, for probably a whole host of reasons, almost every art form has been trending toward removing all the imperfections that make human art feel "human" and interesting. I don't expect this will get better now that we have AI.

When I've talked to people about modern music in the past, it's only ever people who play music, or who have an intense interest in it, that seem to even be aware that the vast majority of modern music is autotuned (and "gridified" as this author puts it).

To be fair, Zitron's career is as a commentator. To some extent, I expect CEOs of companies to make ridiculous claims. At the end of the day, when shareholders come knocking, what they care about is whether or not your company is growing.

No such mechanism for social media personalities. You can be wrong 90% of the time, and your audience will still praise you for the 10% of the time you were right.

I thought so too... but if you refresh the page, it's just a pre-baked animation. A fun idea for somebody though; a little aquarium full of bots doing fake office tasks (I'm sure it's been done already).

Isn't that just the state of every ai-related subreddit at this point?

Excited to see AI integrations into more non-text-related applications (coding, spreadsheets, proofreading etc). As someone who only occasionally needs to edit videos for product / feature reels, I'd happily ask an AI to "sync the narration to the video, cut away irrelevant footage, and add transitions". The convenience of being able to automate simple, repeatable tasks in creative software via ai is something that gets overshadowed a lot by the agentic coding discussions. I can only imagine the nightmare it would be for a tool like Premier to integrate effective ai features, so new ai-in-mind tools really feel like a necessity.

Great website and good luck!

I'm sure the Trump supporters who voted for him to "end all wars" are going to be strongly opposed to this.

As a designer/dev working on AI for customer service tools, who has to constantly reminding stakeholders that LLMs aren't creative, aren't good at steering conversations, etc. I wish there was more focus on integrating AI into tools in ways that make work faster, rather than trying to do-it-all. There's still so much low-hanging fruit out there.

Other than the obvious (IDEs), wish there were more tools like Fusion360's ai auto-constraints. Saves so much time on something that is mostly tedious and uncreative. I could see similar integrations for Blender (honestly the most interesting part of what op posted is changing the materials... could save a lot of time spent connecting noodles).

4 years ago people were amazed when you could get GPT-3 to make 4-chan greentexts. Now people are unimpressed when GPT-5 codes a working language learning app from scratch in 2 minutes.