Technology

59641 readers

4214 users here now

This is a most excellent place for technology news and articles.

Our Rules

Follow the lemmy.world rules.
Only tech related content.
Be excellent to each another!
Mod approved content bots can post up to 10 articles per day.
Threads asking for personal tech support may be deleted.
Politics threads may be removed.
No memes allowed as posts, OK to post as comments.
Only approved bots from the list below, to ask if your bot can be added please contact us.
Check for duplicates before posting, duplicates may be removed

Approved Bots

founded 1 year ago

MODERATORS

492

Barack Obama: “For elevator music, AI is going to work fine. Music like Bob Dylan or Stevie Wonder, that's different” (musictech.com)

submitted 1 year ago by L4s@lemmy.world to c/technology@lemmy.world

246 comments fedilink hide all child comments

Barack Obama: “For elevator music, AI is going to work fine. Music like Bob Dylan or Stevie Wonder, that's different”::Barack Obama has weighed in on AI’s impact on music creation in a new interview, saying, “For elevator music, AI is going to work fine”.

you are viewing a single comment's thread
view the rest of the comments

[–] Daxtron2@lemmy.ml 13 points 1 year ago (1 children)

Using the end product and having any idea how it works are two VERY different things.

[–] Inmate@lemmy.world -2 points 1 year ago (1 children)

I agree, my argument is that both aren't challenging for even the average person if they really want/need to understand how these models produce refined noise informed by human patterns.

There are electricians everywhere you know.

This isn't a random person thoughtlessly yelling one-sentence nonsense pablum on the Internet like you.

You think this person can't understand something as straightforward as programming, coming from law?

https://en.wikipedia.org/wiki/Barack_Obama

Please link your Wikipedia below 🫠

[–] Daxtron2@lemmy.ml 5 points 1 year ago (1 children)

It's a bit more complicated than you're making it out to be lmfao, there's a reason it's only really been viable for the past few years.

[–] skulkingaround@sh.itjust.works 5 points 1 year ago

The principles are really easy though. At its core, neural nets are just a bunch of big matrix multiplication operations. Training is still fundamentally gradient descent, which while it is a fairly new concept in the grand scheme of things, isn't super hard to understand.

The progress in recent years is primarily due to better hardware and optimizations at the low levels that don't directly have anything to do with machine learning.

We've also gotten a lot better at combining those fundamentals in creative ways to do stuff like GANs.