Xecast Episode 1: Origins and Techaro
Published on , 293 words, 2 minutes to read
Xe Iaso talks about their background in tech, the Techaro series, and AI.
Also catch Xecast on YouTube (I'll make a proper podcast feed soon, trying to de-scope so I can actually get things done).
<Mimi>
These show notes were generated using Google Gemini 1.5 Pro. Should this podcast take off, we'll find a better way to do this.
Show Notes:
- This is the first episode of Xecast, an experimental podcast by Xe Iaso.
- Xe talks about their background in tech, starting with early exposure to computers and programming.
- They discuss their love for tinkering and finding creative, sometimes "cursed," solutions to problems.
- The conversation dives into their fictional series, "Techaro", and the rules Xe created to make it universally relatable.
- Xe reveals their desire to write a book and create short films based on the Techaro universe.
- The episode touches on Xe's fascination with AI and its potential for social commentary.
- Xe encourages listeners to watch "The Twilight Zone" and "Black Mirror" for their thought-provoking social commentary.
Key Takeaways:
- Embracing the Cursed: Xe's passion for technology lies in its potential for unconventional and even "cursed" solutions. This approach has fueled their career and creative pursuits.
- Relatability in Fiction: Xe's Techaro series thrives on its generic, relatable depiction of the tech industry. By avoiding specific details, readers can easily draw parallels to real-world companies and experiences.
- Technology as a Mirror: Xe believes technology amplifies existing human flaws and societal issues. They use their writing to explore this concept, drawing inspiration from shows like "The Twilight Zone" and "Black Mirror."
- AI as a Narrative Tool: Xe sees AI as a powerful tool for social commentary, particularly regarding labor exploitation. They plan to explore this theme in future Techaro stories.
Facts and circumstances may have changed since publication. Please contact me before jumping to conclusions if something seems wrong or unclear.
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