AI
Artificial intelligence, machine learning, and AI-assisted development
30 articlesWho keeps the AI dividend?
AI productivity gains flow to employers while workers get more work for the same pay. Evidence from BCG, NBER, and labor economics shows why sharing matters.
Richard Socher nailed the future of work with AI
Richard Socher identified the skills that matter in the AI era: delegate clearly, specify requirements, build trust. These are learnable skills, not job titles.
Context Loss and How to Prevent It
Why AI assistants forget what you told them, and practical strategies to prevent it. The difference between context that survives and context that gets lost.
How Claude's Memory Actually Works (And Why CLAUDE.md Matters)
Understanding Claude's context architecture changes how you work with it. The tradeoffs between automatic continuity and on-demand depth explain why persistent
AI Content Quality: An Open-Source Framework for Writing That Doesn't Read Like AI
An open-source framework for creators and reviewers — systematic patterns that separate professional AI-assisted writing from AI slop, plus prompts you can use
The Iron Man Suit for Your Brain: Why AI’s Real Threat Isn’t What You Think
AI's real threat is not job loss or conscious superintelligence. It is humans using AI as a cognitive amplifier for destruction, well before AI becomes sentient
The Economics of Starting Fresh in the Age of Generative AI
Greenfield AI development often delivers better ROI than legacy retrofits. Evidence from enterprise implementations and a framework for Canadian organizations.
Collective Intelligence: Making AI Work for Everyone
Three principles for inclusive AI from Cooper Union's Collective Intelligence panel: resource consciousness, participation beyond access, and knowledge sovereig
Memory Mosaics: How AI Networks Learn to Remember – The Executive Code Podcast
The Executive Code podcast's first episode breaks down the Memory Mosaics paper from ICLR 2025, explaining how neural networks learn to remember.
RAPTOR: Recursive Thinking for Smarter AI Retrieval – The Executive Code Podcast
The Executive Code podcast explores Stanford's RAPTOR paper on recursive abstractive processing for smarter AI document retrieval and understanding.
Why Prompt Engineering Is Legitimate Engineering: A Case for the Skeptics
Prompt engineering meets every definition of legitimate engineering: systematic methods, measurable results, deep system understanding, and specialized knowledg
The Path to Superintelligent AI: Key Insights from Tim Urban’s Groundbreaking Analysis
Key insights from Tim Urban's Wait But Why analysis of AI superintelligence, covering the path from narrow AI to AGI to ASI and what it means for humanity.
The Frontier of AI: Reflections on my friend Richard Socher's Vision — The Man Who Invented Prompt Engineering on AI, AGI & Humanoids
Richard Socher discusses AI benchmarks, AGI, open-source models, agentic AI, and humanoid robots with Peter Diamandis and Salim Ismail.
The Culinary Code of AI: Understanding Language Models
A restaurant analogy explains how large language models predict words, covering mixture of experts and what business leaders need to know about AI.
The Evolution of AI Reasoning: A Follow-up Analysis: OpenAI o1 vs. DeepSeek’s DeepThink R1
Comparing OpenAI o1 and DeepSeek R1 reasoning models reveals two distinct AI problem-solving approaches: mathematical elegance versus systematic analysis.
Speaking Through AI: The Next Evolution of Human Communication
AI is becoming the universal mediator of human communication, reshaping trust, democracy, and authenticity as it moves beyond software interfaces.
The Future of Software: From API to AI as the Communication Interface
A prediction that AI-driven natural language interfaces will gradually replace traditional APIs as the primary communication method between software systems and
Three AI Language Models, Three Contradictory Answers. Who Got it Correct and Why?
Comparing GPT-4o, Claude 3.5, and Gemini Pro on the same math puzzle reveals how three AI models use fundamentally different reasoning approaches with different
How to Recognize an Email Written by an AI Language Model (August 2024)
Twelve telltale signs that an email was written by an AI language model, from generic openings and excessive formality to perfect grammar and formulaic conclusi
Prompt Engineering to Generate Code to Solve a Math Problem
My 12-year-old solved a math puzzle faster than I could. So I wrote a prompt to have GPT-4 generate Python code to solve it. The prompt, the algorithm selection
The Evolution of Generative AI Platforms: How Large Language Models will Disrupt Business and Society
How LLM platforms like ChatGPT will evolve into app ecosystems similar to iOS and Android, disrupting business models while creating new AI-powered opportunitie
Why Vector Databases & Embeddings Used for Prompt Context are Limited for Personalized AI Assistants
Why vector databases and embeddings fall short for personalized AI assistants, and how fine-tuning large language models offers deeper contextual understanding.
Reinventing How We Will Consume Information: LLM-Powered Agents as Superhuman Guides with Immense Knowledge and Teachers with Infinite Patience
How LLM-powered AI agents will revolutionize information consumption by turning passive documents into interactive, personalized learning experiences across tex
Introduction to Generative AI and Large Language Models for Media Business People
An introduction to generative AI and large language models for business leaders, covering what LLMs are, how they work, and their transformative business potent
The Neural Network Revolution: Why AI Will Make Traditional Databases Obsolete
AI neural networks will make traditional databases obsolete by offering superior handling of unstructured data, continuous learning, and scalability over relati
you.com: A Game-Changing AI-powered Search Engine
Rajiv shares his involvement as advisor and investor in you.com, an AI-powered search engine using natural language processing and generation.
How news organizations combat fake news generated and spread using artificial intelligence
How AI augmented with human intelligence can combat deepfakes, as featured in a Harvard NiemanLab article on The Wall Street Journal's detection efforts.
Talk at Applause: Fighting Fake News with AI and Crowdsourcing at The Wall Street Journal
Rajiv Pant's Applause conference talk on deepfakes, covering AI-generated synthetic media threats, GAN technology, and detection strategies using AI and crowdso
Information for Technologists Interested in Learning about Artificial Intelligence
A curated collection of AI learning resources for technologists, covering machine learning, deep learning, neural networks, open source toolkits, and tutorials.