this post was submitted on 23 Nov 2023
69 points (86.3% liked)
Technology
59030 readers
4914 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
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
This is a great comment. I first learned ML at Google in Boulder in 2017 using TensorFlow. We were introduced by the google images team to re-create Uber's fare estimation algorithm using 25+ years of New York City taxi data. GPS locations, fares, times of day, routes, etc. As expected, given gradient descent and how people chose to use the parameters, everyone had very different algorithms by the end. This is what has been known with ML for years (even with GPT, just massive models), but something that can process and learn on the fly is something else entirely and is pretty exciting for the future. Philosophical questions abound.