Coding an AI to reply to comments #shorts

This video took me a month and a half to make—I hope you enjoy it thoroughly. Also, I appreciate you taking the time out of your day to watch my content, it means a lot! As always, thanks so much to www.bensound.com for their royalty-free backing tracks.

Channel: Halston SellentinGenerated by halstonDuration: 11mPublished May 06, 2021
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Video Chapters

Original Output

0:00 The Challenge: Drowning in Comments!
0:57 The Grand Idea: An AI Reply Assistant?
1:29 Data Dive: Fueling the AI with Past Conversations
3:10 First Words: Witnessing the AI's Early, Quirky Attempts
4:24 Guiding the AI: Injecting Deeper Meaning and Philosophy
5:00 Polishing the Persona: Teaching the Bot to Be Polite
6:20 The Moment of Truth: Real-Time AI Conversation Test
7:52 Unexpected Depths: When the AI Questions Humanity Itself
9:41 A Sudden Twist: The Bot's Chilling Final Message
10:13 The Aftermath: Reflecting on a Profound AI Journey

Timestamps by StampBot 🤖

Unprocessed Timestamp Content

0:00 The problem: too many comments, too little time to reply personally.
0:57 Can machine learning be the ultimate YouTube reply assistant?
1:29 Down the rabbit-hole: collecting past YouTube comments for AI training.
2:28 A detour to Linux and proprietary drivers, leading to quite the ordeal.
3:10 Behold, the initial, slightly garbled attempts at AI-generated replies.
4:24 Feeding the AI philosophy: hoping for deeper, more meaningful responses.
5:00 Refined replies: training the bot on "phrases of thanks" for politeness.
6:20 Endgame: testing the fully trained conversational AI in real-time.
7:52 The bot gets deep: questioning humanity and online connections.
9:41 A tragic error: the comment bot crashes with a chilling final message.
10:13 Project reflections: a challenging journey with surprisingly profound AI interactions.

Timestamps by StampBot 🤖