I Challenged AI to Create a Better YouTube Channel Than Me... Here's What Happened

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Published 2023-08-25
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Code from my videos available at: github.com/sponsors/adumb-codes/
Twitter: twitter.com/adumb_codes

In this video I created an AI automated YouTube channel to compete against a human run YouTube channel to see which channel could get more views and subscribers in a month.

AI Channel: @TheDailyQuotation
Human Channel: @Quotables_

This video was sponsored by Brilliant

#ai

All Comments (21)
  • @adumb_codes
    To try everything Brilliant has to offer—free—for a full 30 days, visit brilliant.org/adumb/. The first 200 of you will get 20% off Brilliant’s annual premium subscription.
  • @josiah42
    Importantly, this kind of long-form high quality thoughtful analysis can't even be produced by most people much less an AI.
  • @luggilu7864
    Plot twist, it turns out that adumb himself is an extremely sophisticated ai.
  • @felix56p
    dude getting a sponsor in just your fifth ever video is such a huge flex
  • @leftysheppey
    Actually nuts that you managed to get nearly 500 subscribers in a month on an AI channel
  • @PlaaasmaMC
    Congrats on getting sponsored already, your projects are awesome
  • @elixpo
    Dude, you your creations are really next level man!
  • I'm sure I've come across a few of your reels before on youtube 😂😂
  • @Asterism_Desmos
    This was a very interesting idea and the execution was amazing. Good video!
  • @g-program-it
    nicely done, showing pros and cons of an automated channel with actual data
  • @aneski
    Don't think I really understood just how accessible this has all come when you can automate entire channels with AI already. Really interesting video and great motivation for me to continue studying Python :D
  • @bryanbischof4351
    Great video. I really appreciate the approach and thoroughness
  • @that.dawson
    This channel is really cool, man! Looking forward to seeing what you do next!
  • @someone5781
    This is a real gem of a channel. I love seeing this content, and you really inspire me to work on some cool hacks like this too!
  • @artrix909
    this is extremely interesting! keep up the good work
  • @moth.monster
    Honestly, using a script for editing but doing actual voiceover and research would split the difference on what matters.
  • @lukibukiboy4892
    A really neat video idea!!! Love your channel! Keep going!
  • @iasliam
    This was so good! Thanks for making this
  • @MrCasulu
    Very, very insightful analysis of a “real life” experiment, comparing the performance of an LLM versus a human. My take is that currently LLMs excel on quantity with “good enough quality “, but LLMs do not seem capable of “excellent” or “brilliant” performance. That conclusion looks intuitive to me: when I look at the output of any of the LLMs I’ve tested so far, I do get something that looks as the “average opinion/knowledge” of what I see on the internet using a search engine. Thinking about how LLMs operate, this is what I expect: the tokens with the highest probability are those that are found most often on the internet (this is also the cause for bias). Thus, documents published by exceptional people (let’s say, some genius) will receive a very low probability of being generated by the LLM. Anyway, I really enjoyed a lot this video, and I surely be looking for your future videos.
  • @macro144p
    This is like a mathematical proof for the dead internet theory. I think of it being like checkers. Yes, checkers is a solved game mathematically, but we still haven't mapped out all moves. Thus, it still requires plenty of skill to play and be good at it.