Dangerous Dilettantes vs. Toyota Way Engineering

Core Thesis

The influx of AI-powered automation tools creates dangerous dilettantes - practitioners who know just enough to be harmful. The Toyota Produ…

Extensive Notes: The Truth About AI and Your Coding Job

Types of AI

• Narrow AI

  • Not truly intelligent
  • Pattern matching and full text search
  • Examples: voice assistants, coding autocomplete
  • Useful but contains…

Extensive Notes: "No Dummy: AI Will Not Replace Coders"

Introduction: The Critical Thinking Problem

• America faces a critical thinking deficit, especially evident in narratives about AI automating devel…

how Gen.AI companies combine narrow ML components behind conversational interfaces to simulate intelligence. Each agent component (text generation, context management, tool integration) has direct no…

Episode Summary:

A critical examination of generative AI through the lens of a null hypothesis, comparing it to a sophisticated search engine over all intellectual property ever created, challenging o…

Episode Notes: Claude Code Review: Pattern Matching, Not Intelligence

Summary

I share my hands-on experience with Anthropic's Claude Code tool, praising its utility while challenging the misleading "AI…

Deno: The Modern TypeScript Runtime Alternative to Python

Episode Summary

Deno stands tall. TypeScript runs fast in this Rust-based runtime. It builds standalone executables and offers type safety with…

Episode Notes: The Wizard of AI: Unmasking the Smoke and Mirrors

Summary

I expose the reality behind today's "AI" hype. What we call AI is actually generative search and pattern matching - useful but n…

Episode Notes: Search, Not Superintelligence: RAG's Role in Grounding Generative AI

Summary

I demystify RAG technology and challenge the AI hype cycle. I argue current AI is merely advanced search, not…

Pragmatica Labs Podcast: Interactive Labs Update

Episode Notes

Announcement: Updated Interactive Labs

• New version of interactive labs now available on the Pragmatica Labs platform
• Focus on improved Rust …

Meta and OpenAI Book Piracy Controversy: Podcast Summary

The Unauthorized Data Acquisition

• Meta (Facebook's parent company) and OpenAI downloaded millions of pirated books from Library Genesis (LibGen)…

Rust Multiple Entry Points: Architectural Patterns

Key Points

• Core Concept: Multiple entry points in Rust enable single codebase deployment across CLI, microservices, WebAssembly and GUI contexts
• Implem…

Podcast Notes: Vibe Coding & The Maintenance Problem in Software Engineering

Episode Summary

In this episode, I explore the concept of "vibe coding" - using large language models for rapid software dev…

Podcast Notes: DeepSeek R2 - The Tech Stock "Atom Bomb"

Overview

• DeepSeek R2 could heavily impact tech stocks when released (April or May 2025)
• Could threaten OpenAI, Anthropic, and major tech companies
• …

Regulatory Capture in Artificial Intelligence Markets: Oligopolistic Preservation Strategies

Thesis Statement

Analysis of emergent regulatory capture mechanisms employed by dominant AI firms (OpenAI, A…

The Rust Paradox: Systems Programming in the Epoch of Generative AI

I. Paradoxical Thesis Examination

• Contradictory Technological Narratives

  • Epistemological inconsistency: programming simultaneously cha…

Podcast Notes: Debunking Claims About AI's Future in Coding

Episode Overview

• Analysis of Anthropic CEO Dario Amodei's claim: "We're 3-6 months from AI writing 90% of code, and 12 months from AI writing…

Pattern Matching vs. Content Comprehension: The Mathematical Case Against "Reading = Training"

Mathematical Foundations of the Distinction

• Dimensional processing divergence

  • Human reading: Sequential, un…

Pattern Matching Systems: Powerful But Dumb

Core Concept: Pattern Recognition Without Understanding

• Mathematical foundation: All systems operate through vector space mathematics

  • K-means clustering, vect…