『DevOps Narrow AI Debunking Flowchart』のカバーアート

DevOps Narrow AI Debunking Flowchart

DevOps Narrow AI Debunking Flowchart

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 Extensive Notes: The Truth About AI and Your Coding JobTypes of AI

  • Narrow AI

    • Not truly intelligent
    • Pattern matching and full text search
    • Examples: voice assistants, coding autocomplete
    • Useful but contains bugs
    • Multiple narrow AI solutions compound bugs
    • Get in, use it, get out quickly

  • AGI (Artificial General Intelligence)

    • No evidence we're close to achieving this
    • May not even be possible
    • Would require human-level intelligence
    • Needs consciousness to exist
    • Consciousness: ability to recognize what's happening in environment
    • No concept of this in narrow AI approaches
    • Pure fantasy and magical thinking

  • ASI (Artificial Super Intelligence)

    • Even more fantasy than AGI
    • No evidence at all it's possible
    • More science fiction than reality
The DevOps Flowchart Test

  1. Can you explain what DevOps is?

    • If no → You're incompetent on this topic
    • If yes → Continue to next question

  2. Does your company use DevOps?

    • If no → You're inexperienced and a magical thinker
    • If yes → Continue to next question

  3. Why would you think narrow AI has any form of intelligence?

    • Anyone claiming AI will automate coding jobs while understanding DevOps is likely:
      • A magical thinker
      • Unaware of scientific process
      • A grifter
Why DevOps Matters
  • Proven methodology similar to Toyota Way
  • Based on continuous improvement (Kaizen)
  • Look-and-see approach to reducing defects
  • Constantly improving build systems, testing, linting
  • No AI component other than basic statistical analysis
  • Feedback loop that makes systems better
The Reality of Job Automation
  • People who do nothing might be eliminated
    • Not AI automating a job if they did nothing
  • Workers who create negative value
    • People who create bugs at 2AM
    • Their elimination isn't AI automation
Measuring Software Quality
  • High churn files correlate with defects
  • Constant changes to same file indicate not knowing what you're doing
  • DevOps patterns help identify issues through:
    • Tracking file changes
    • Measuring complexity
    • Code coverage metrics
    • Deployment frequency
Conclusion
  • Very early stages of combining narrow AI with DevOps
  • Narrow AI tools are useful but limited
  • Need to look beyond magical thinking
  • Opinions don't matter if you:
    • Don't understand DevOps
    • Don't use DevOps
    • Claim to understand DevOps but believe narrow AI will replace developers
Raw Assessment
  • If you don't understand DevOps → Your opinion doesn't matter
  • If you understand DevOps but don't use it → Your opinion doesn't matter
  • If you understand and use DevOps but think AI will automate coding jobs → You're likely a magical thinker or grifter

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