Artwork

Contenido proporcionado por HackerNoon. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente HackerNoon o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Player FM : aplicación de podcast
¡Desconecta con la aplicación Player FM !

Using Free AI Tools to Create a 100% Automated Youtube Shorts Channel

9:39
 
Compartir
 

Manage episode 417521756 series 3474148
Contenido proporcionado por HackerNoon. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente HackerNoon o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/using-free-ai-tools-to-create-a-100percent-automated-youtube-shorts-channel.
I created a fully automated youtube channel that posts new videos daily, using free and open source AI tools, earned a whopping 52 subscribers and hated it.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #content-creation, #content-strategy, #automated-youtube-channel, #using-python-to-create-videos, #ai-content-creation, #youtube-experiment, #local-llm-models-use-cases, and more.
This story was written by: @thesolofoundernewsletter. Learn more about this writer by checking @thesolofoundernewsletter's about page, and for more stories, please visit hackernoon.com.
With a bunch of free/open source AI tools (coqui tts, local LLMs), and a few python scripts written with the help of gpt4, I created a fully automated youtube channel that posts youtube shorts everyday. I got a whopping 52 subscribers after 6 months of wasting electricity In the end, I loved the process of creating the channel, but I hated the videos I made. Large Language Models (LLMs) has been amazing for me for being code monkeys that helped me write code. For other written purposes, not so much. Its writing are generic, bland and “soulless”, as they say. More than ever now, I’m allergic to generic written shit (which seems like what most of search results and articles are these days)

  continue reading

472 episodios

Artwork
iconCompartir
 
Manage episode 417521756 series 3474148
Contenido proporcionado por HackerNoon. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente HackerNoon o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/using-free-ai-tools-to-create-a-100percent-automated-youtube-shorts-channel.
I created a fully automated youtube channel that posts new videos daily, using free and open source AI tools, earned a whopping 52 subscribers and hated it.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #content-creation, #content-strategy, #automated-youtube-channel, #using-python-to-create-videos, #ai-content-creation, #youtube-experiment, #local-llm-models-use-cases, and more.
This story was written by: @thesolofoundernewsletter. Learn more about this writer by checking @thesolofoundernewsletter's about page, and for more stories, please visit hackernoon.com.
With a bunch of free/open source AI tools (coqui tts, local LLMs), and a few python scripts written with the help of gpt4, I created a fully automated youtube channel that posts youtube shorts everyday. I got a whopping 52 subscribers after 6 months of wasting electricity In the end, I loved the process of creating the channel, but I hated the videos I made. Large Language Models (LLMs) has been amazing for me for being code monkeys that helped me write code. For other written purposes, not so much. Its writing are generic, bland and “soulless”, as they say. More than ever now, I’m allergic to generic written shit (which seems like what most of search results and articles are these days)

  continue reading

472 episodios

All episodes

×
 
Loading …

Bienvenido a Player FM!

Player FM está escaneando la web en busca de podcasts de alta calidad para que los disfrutes en este momento. Es la mejor aplicación de podcast y funciona en Android, iPhone y la web. Regístrate para sincronizar suscripciones a través de dispositivos.

 

Guia de referencia rapida

Escucha este programa mientras exploras
Reproducir