DevOps Narrow AI Debunking Flowchart Podcast Por  arte de portada

DevOps Narrow AI Debunking Flowchart

DevOps Narrow AI Debunking Flowchart

Escúchala gratis

Ver detalles del espectáculo

Acerca de esta escucha

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

🔥 Hot Course Offers:
  • 🤖 Master GenAI Engineering - Build Production AI Systems
  • 🦀 Learn Professional Rust - Industry-Grade Development
  • 📊 AWS AI & Analytics - Scale Your ML in Cloud
  • ⚡ Production GenAI on AWS - Deploy at Enterprise Scale
  • 🛠️ Rust DevOps Mastery - Automate Everything
🚀 Level Up Your Career:
  • 💼 Production ML Program - Complete MLOps & Cloud Mastery
  • 🎯 Start Learning Now - Fast-Track Your ML Career
  • 🏢 Trusted by Fortune 500 Teams

Learn end-to-end ML engineering from industry veterans at PAIML.COM

adbl_web_global_use_to_activate_T1_webcro805_stickypopup
Todavía no hay opiniones