AI Trends
Long-form AI conversations and podcast episodes — distilled into structured briefings for builders.
16 posts

The Generative Engine Optimization Playbook: How to Make Your Business Visible in the AI Era
Discover how to optimize your digital presence for ChatGPT, Claude, and Perplexity using a proven five-step Generative Engine Optimization (GEO) framework to double your brand's AI search visibility.

Surviving the Next Three Years of AI: The Liberman Brothers on Open Networks, Corporate Control, and Decentralization
Venture investors David and Daniel Liberman warn that the window to prevent a corporate monopoly over AI is closing, urging a immediate shift toward decentralized compute networks to protect digital freedom.

The Unspoken Timeline: Why Former Insiders Fear the Uncontrolled Race to Superintelligence
Former OpenAI forecaster Daniel Kokotajlo warns that superintelligence could arrive by 2029, bringing a high risk of catastrophic loss of control if competitive pressures continue to override safety protocols.

Understanding Prompt Injection: The Primary Security Threat to Enterprise AI
Discover why prompt injection is ranked as the top security threat to enterprise AI, how it differs from jailbreaking, and how to protect your data using the lethal trifecta framework.

Why Critical Thinking is the Ultimate Competitive Advantage in the AI Era
As deepfakes and AI-generated content make lies look exactly like the truth, critical thinking is no longer just a skill—it is your ultimate defense and competitive advantage.

How Mitochondrial Energy Systems Control Aging, Stress, and the Reversibility of Gray Hair
Columbia University scientist Dr. Martin Picard reveals how mitochondrial energy dynamics govern aging, proving that stress drains 60% of your cellular budget and that gray hair is biologically reversible.

Recursive AI: Richard Socher Predicts Superintelligence Within Two Years
Richard Socher, inventor of prompt engineering and CEO of Recursive, predicts recursive self-improving superintelligence will arrive within two years, transforming work, research, and our understanding of intelligence.

From LLM Calls to True AI Agents: Deconstructing the Agentic Architecture from Scratch
Learn how to build an autonomous AI agent from scratch in Python. Discover the core mechanics of personas, memory, and knowledge that turn standard LLM calls into powerful agentic workflows.

Mo Gawdat on Navigating the Age of AI with Agility and Ethical Purpose
Mo Gawdat urges listeners to embrace agility and ethical purpose in the AI era, transforming challenges into opportunities for profound impact and joy.

The AI-First Playbook: How Peter Yang Runs a 140K Newsletter Solo
Discover how Peter Yang, an ex-product leader, runs a 140,000-subscriber newsletter as a solo operation, leveraging self-improving AI to automate nearly all his workflows.

Exploring Udacity's Online Master's Degrees: MSc in AI and MBA in AI Product Management
Discover how Udacity's online Master of Science in AI and MBA in AI Product Management, accredited by Woolf, offer flexible, project-based learning for career advancement in AI.

How to Compete with Big Tech and Win: The Playbook of a $1.5 Billion AI Startup Founder
Discover how Granola co-founder Chris Pedregal built a $1.5B AI notepad in a crowded market by rejecting classic MVP launch strategies and focusing on extreme product quality.

From Prototype to Production: Why Most Agentic AI Initiatives Stall and How to Build Reliable Systems
Moving AI agents from prototype to production fails 40% of the time. Discover how to escape the POC trap using deterministic workflows, strict guardrails, and robust organizational governance.

A Billion-Dollar AI Journey: Grant Lee's Playbook for Launching a Profitable AI Startup in 2026
Learn how Grant Lee, CEO of Gamma, built a $2.1 billion AI company in 4 years, sharing his playbook for profitable AI startups, from fundraising to product-market fit.

Engineering Autonomous Coding Agents: How to Build Self-Correcting Loops with Claude Code
Learn how to build a self-correcting AI coding agent using Ralph Loops and Claude Code to write, test, and debug software autonomously while you sleep.
