On December 9th 2025, Anthropic, the creators of Claude, released a report talking about the state of the industry regarding AI Agents. The goal of the report was to identify how AI is currently being adopted and what issues companies were facing when trying to adopt it. With the help
* Lesson 1: What is Bitcoin? * Lesson 2: It is Never Too Late To Pivot * Lesson 3: Sometimes The Best Answer Is IDK * Lesson 4: Goodhart's Law * Lesson 5: The Butterfly Effect * Lesson 6: Business Model Canvas * Lesson 7: Comparison Is The Thief Of Joy We are back! After
Claude Mythos, currently the most powerful model created by Anthropic, has been officially announced. For those unaware, Anthropic is one of the leading frontier labs in the AI Arms Race, created by former OpenAI employees who disliked its leadership and wanted to focus primarily on AI safety. Their decision to
I'm keeping this week short. I've been wanting to give myself a breather from constantly writing and thought, why not write a 7D7L on the importance of rest? So that's exactly what I did, one short lesson highlighting the importance of rest. I hope
9 months ago, I passed the AWS SAA without the experience AWS recommends you have. I wasn't lucky, I'm not a natural, and I don't work as a Cloud Architect. Yet I still managed to pass it on my first try, without too much
* Problem 1: How Do We Transition Into AGI * Problem 2: Improving Water Scarcity Through Desalination * Problem 3: How Can We Make The Internet More Accessible? * Problem 4: Batteries are great, but we need to make them better * Problem 5: Creating Fake Organs * Problem 6: Curing Addiction * Problem 7: Rising Wealth
* Lesson 1: Managing vs. Leading (Leadership) * Lesson 2: The Ikea Maze (Sales) * Lesson 3: Supply and Demand (Economics) * Lesson 4: Fractional Reserve Banking (Economics) * Lesson 5: How Much Is A Dollar Really Worth? (Economics) * Lesson 6: Stanford Marshmallow Experiment (Psychology) * Lesson 7: Third Marshmallow Fallacy (Wisdom) What's stopping
* Lesson 1: Unchecked Enthusiasm is Dangerous (Wisdom) * Lesson 2: Money and Friends (Wisdom) * Lesson 3: Correcting People (Wisdom) * Lesson 4: Two Types of People: Wisdom and Folly (Wisdom) * Lesson 5: Stop Being Lazy (Wisdom) * Lesson 6: Being Truthful (Wisdom) * Lesson 7: Do not Believe All You Are Told (Wisdom) This
A month ago, I attended the Palo Alto Ignite Conference after an invitation from some of the team there. I learned quite a lot and thought it would be good to summarise some of the key messages, as I thought they might be useful to others. AI Innovation & No
* Lesson 1: Life Razor (Mindset) * Lesson 2: Allegory of the Ring (Morality) * Lesson 3: How To Allocate Your Extra Money (Growth) * Lesson 4: The 3 Stages of the Stock Market (Finance) * Lesson 5: Focus On Your Relationships (Relationships) * Lesson 6: How To Tell A Story (Soft-Skill) * Lesson 7: ISAs: A
* Lesson 1: Not Everything That Makes Us Happy Is Good (Mindset) * Lesson 2: Hold Yourself Accountable (Mindset) * Lesson 3: Pyritthic Victory (Growth) * Lesson 4: Everyone Has Time (Mindset) * Lesson 5: Thematic Investing (Finance) * Lesson 6: The Four Stages of Competence (Learning) * Lesson 7: Jevons Paradox (Economics) Not Everything That Makes
Contents * The AI Development Lifecycle (AI-DLC) * The Secure AI Development Lifecycle (SAI-DLC) * Evaluating Your AI Security AI Development Lifecycle (AI-DLC) Let’s first start by highlighting the different stages of creating a full-fledged AI product. I’ll be building on top of the Guidelines for Secure AI System Development and