Tech Propaganda: An Introduction to Critical Thinking in TechnologyEpisode Notes1. FOMO (Fear of Missing Out)

• Definition: Rushing to adopt new technologies without clear benefits
• Examples:
  • Implementing GenAI without clear ROI just because competitors are doing it
  • Skill development driven by fear of obsolescence
  • VCs worried about missing the next big thing

2. Naive Utopianism

• Definition: Assuming all technology is inherently good
• Examples:
  • Believing more smartphone scrolling is always better
  • Expecting social media to lead to world peace
  • Promoting UBI or crypto as universal solutions
  • Assuming AI can completely replace teachers

3. Disruption and Technological Solutionism

• Definition: Ignoring negative consequences of tech solutions
• Key point: Tendency to overlook negative externalities

4. "Selling Two Day Old Fish"

• Definition: Resisting improvements to maintain profitable but outdated products/services
• Examples:
  • Exaggerating job market demand for outdated skills
  • Appealing to authority (big tech companies)
  • Dismissing newer technologies as unnecessary or overly complex
  • Claiming established technologies aren't actually old/slow

5. Superficial Media

• Definition: Promoting shallow or misleading information about technology
• Examples:
  • Media monetizing via supplements
  • Conspiracy theory forums
  • Inexperienced podcast hosts discussing complex topics
  • Making sensational predictions about future tech with little evidence
  • Oversimplifying complex topics

6. Push to Disrupt

• Definition: Overconfidence in technology's ability to solve complex problems
• Examples:
  • "Figure out the business model later" mentality
  • Pushing products to market prematurely
  • Ignoring negative externalities
  • Dismissing critics as "not understanding the vision"

7. Billionairism

• Definition: Excessive admiration of tech billionaires and their perceived expertise
• Examples:
  • Equating extreme wealth with universal expertise
  • Idolizing tech billionaires as infallible visionaries
  • Romanticizing the "Harvard/Stanford dropout genius" narrative
  • Ignoring the role of luck vs. skill
  • Overemphasizing individual genius over team efforts

8. Irrational Exceptionalism

• Definition: Unrealistic beliefs about a startup's chances of success
• Examples:
  • "We're different from other startups that fail"
  • "Weekends are a social construct"
  • Obsession with "changing the world"
  • Rationalizing present hardships for imagined future gains
  • Dismissing industry-wide failure rates
  • Glorifying extreme effort and sacrifice

9. Double Down

• Definition: Making increasingly grand claims to distract from unfulfilled promises
• Examples:
  • Promising self-driving cars "next year", then pivoting to Mars travel
  • Deflecting from current AI model flaws with promises of future sentience

10. Trojan Source

• Definition: Open source projects that later switch to commercial licensing
• Examples:
  • "Rug pull" strategy in open source
  • Using community labor before pivoting to commercial model

11. "Generous Pour" Ethical Framing

• Definition: Highlighting easy ethical actions while ignoring larger issues
• Examples:
  • Claiming unbiased AI training sets while hiding addictive design
  • Emphasizing harm reduction in AI outputs while ignoring IP theft

12. Business Model Circular Logic

• Definition: Exploiting legal grey areas and claiming they're essential to the business model
• Examples:
  • Justifying use of pirated data for AI training
  • Creating unfair competition by ignoring regulations (e.g., taxi services, hotels)

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