diff --git a/bundle.md b/bundle.md index 383e3d6..b3dcc1c 100644 --- a/bundle.md +++ b/bundle.md @@ -9,4 +9,8 @@ bundle: includes: - bundle: git+https://github.com/kenotron-ms/amplifier-bundle-design-md@master + +tools: + - module: tool-openai-images + source: git+https://github.com/singh2/amplifier-module-tool-openai-images@main --- diff --git a/src/content/posts/ai-commoditizes-features-but-judgment-compounds.md b/src/content/posts/ai-commoditizes-features-but-judgment-compounds.md index 650130c..6b58ed1 100644 --- a/src/content/posts/ai-commoditizes-features-but-judgment-compounds.md +++ b/src/content/posts/ai-commoditizes-features-but-judgment-compounds.md @@ -12,6 +12,38 @@ Real professional engineers will still be needed for excellence. Not because AI AI raises the floor dramatically. It does not flatten the ceiling. + + + + BEFORE AI + + + EXCELLENCE + + judgment, taste, + accountability + + FUNCTIONAL + + code that runs + + AFTER AI + + + UNCHANGED + + still judgment + + RAISED + + AI-assisted code that runs, + passes tests, looks competent + + + floor rises + + + ## The Dignity Problem (Most Underappreciated) The threat to engineers isn't only economic. When expert judgment stops being consulted, something human is lost: the social recognition that hard-won expertise deserves. A doctor who loses clinical judgment to AI loses the acknowledgment that fifteen years of intuition was worth something. The income is secondary. @@ -58,6 +90,39 @@ The failure mode of cutting engineering judgment is **lagged**. It takes 12-18 m This is structurally identical to cutting cybersecurity. You don't see the attacks that didn't happen. + + + + + + + DECISION + Cut engineering + judgment + + + INVISIBLE + Coherence degrades. + Nobody notices. + + 12-18 months + + + FAILURE + System breaks at scale. + Outage. Data loss. Breach. + + + BLAMED ON + "Market conditions." + "Leadership changes." + + + + + + + **What could change the incentive structure:** - Liability: if organizations faced professional accountability for AI-generated software failures the way they face accountability for accounting fraud, you'd need engineers the way you need licensed accountants - Attributed failures: high-profile disasters clearly traced to "they fired engineers and replaced with AI"