Machine Intelligence - 2025
A chronological archive of Machine Intelligence reading list posts.
2025
October 2025
🔗 You Have No Idea How Screwed OpenAI Actually Is
🔗 Advanced Context Engineering for Agents
🔗 Train with coding assistants like Magnus Carlsen trains with chess engines
🔗 The Human Brain Operates at a Stunningly Slow Pace
🔗 NEO The Home Robot | Order Today
🔗 Silicon Valley Is Obsessed With the Wrong AI
🔗 Joe Magerramov's blog: The New Calculus of AI-based Coding
🔗 Builders, Solvers and Cynics
🔗 A small number of samples can poison LLMs of any size Anthropic
🔗 Andrej Karpathy — AGI is still a decade away
🔗 This Is How Much Anthropic and Cursor Spend On Amazon Web Services
September 2025
🔗 Effective context engineering for AI agents Anthropic
🔗 Workflows Are Over. AI Agencies Are Here. | by Marc Puig | Sep, 2025
🔗 The Technium: The Periodic Table of Cognition
🔗 Buy it in ChatGPT: Instant Checkout and the Agentic Commerce Protocol
🔗 Google's top AI scientist says 'learning how to learn' will be next generation's most needed skill
August 2025
🔗 Best Practices for Building Agentic AI Systems: What Actually Works in Production
🔗 [2506.08837] Design Patterns for Securing LLM Agents against Prompt Injections
🔗 Turning Claude Code Into My Best Design Partner – Between the Prompts
🔗 how to build a coding agent: free workshop
🔗 GitHub - firecrawl/open-lovable: 🔥 Clone and recreate any website as a modern React app in seconds
🔗 Building AI Products In The Probabilistic Era
🔗 Getting Good Results from Claude Code • Chris Dzombak
🔗 When everyone gets a genie — learning to handle expertise you didn't earn
🔗 GitHub - manzaltu/claude-code-ide.el: Claude Code IDE integration for Emacs
July 2025
🔗 I Shipped a macOS App Built Entirely by Claude Code
🔗 The Uncertain Future of Coding Careers and Why I'm Still Hopeful
🔗 levered beta is all you need - by Ethan Ding
🔗 Context Engineering for Agents
🔗 Everything around LLMs is still magical and wishful thinking · A Place Where Even Mammoths Fly
June 2025
🔗 AI and the Rise of Judgement Over Technical Skill
🔗 Rick Rubin: Vibe Coding is the Punk Rock of Software
🔗 The last six months in LLMs, illustrated by pelicans on bicycles
🔗 blog
🔗 My AI skeptic friends are all nuts
🔗 AI makes the humanities more important, but also a lot weirder
🔗 How we built our multi-agent research system Anthropic
🔗 Remote MCP support in Claude Code Anthropic
🔗 Claude Code + Context7 MCP Server Is a GAME CHANGER for AI Coding
May 2025
🔗 How a Straight Line Teaches Machines to Learn
🔗 Application Architecture Guide (v2.4)
🔗 Human Coders vs LLMs: A Redis Developer's Perspective
🔗 Integrating AI-Powered Tools with Claude Code SDK
🔗 System Card: Claude Opus 4 & Claude Sonnet 4
🔗 Mind-reading AI recreates what you're looking at with amazing accuracy
🔗 KlavisAI: MCP Integrations for AI Applications
🔗 Why do LLMs have emergent properties?
🔗 Let Artificial Intelligence Evolve
🔗 A little bit about back-propagation
🔗 This book on agents was written entirely by generative AI
April 2025
🔗 AI masters Minecraft: DeepMind program finds diamonds without being taught
🔗 Generative AI is not replacing jobs or hurting wages at all, economists claim
🔗 AI Agents: Less Capability, More Reliability, Please
🔗 Turn a Codebase into Easy Tutorial with AI
🔗 Why LLM-Powered Programming is More Mech Suit Than Artificial Human
🔗 The Case Against Conversational Interfaces
🔗 AI 2027: Envisioning AI's Future by 2027
🔗 MCPs, Gatekeepers, and the Future of AI
🔗 The Coming Knowledge-Work Supply-Chain Crisis
🔗 The StatQuest Illustrated Guide To Machine Learning
🔗 The skill of the future is not 'AI', but 'Focus'
🔗 Understanding Machine Learning: From Theory to Algorithms
🔗 Building an AI That Watches Rugby
🔗 LLMs - A Ghost in the Machine
🔗 Chain-of-Recursive-Thoughts (CoRT)
🔗 Announcing the Agent2Agent Protocol (A2A)
🔗 Your phone isn't secretly listening to you, but the truth is more disturbing
🔗 The Problem with Vibe Coding
🔗 The Agency, Control, Reliability (ACR) Tradeoff for Agents
March 2025
🔗 AI + UX: design for intelligent interfaces
🔗 The Bitter Lesson: Rethinking How We Build AI Systems
🔗 A Bear Case: My Predictions Regarding AI Progress
🔗 VIBE CODING – The Ultimate Guide with Resources
🔗 Hacker News discussion on 'Deep Learning Is Not So Mysterious or Different'
🔗 Most AI value will come from broad automation, not from R&D
🔗 World's First Side-Flipping Humanoid Robot: Unitree G1
🔗 Can you disrupt AirBnb in a Weekend?
🔗 What is Model Context Protocol (MCP)? How it simplifies AI integrations compared to APIs
🔗 Vibe Coding and the Future of Software Engineering
🔗 Build Your Own AI Coding Assistant: A Cost-Effective Alternative to Cursor
🔗 Mayo Clinic's secret weapon against AI hallucinations: Reverse RAG in action
🔗 The End State of the "End of Software"
February 2025
🔗 Understanding Reasoning LLMs
🔗 Understanding the Role of Empty HTML/CSS in Web Development
🔗 R1 Computer Use: Applying Reinforcement Learning to Computer Use
🔗 Deep Dive into LLMs like ChatGPT by Andrej Karpathy (TL;DR)
🔗 PromptLayer Empowers Non-Techies in AI App Development
🔗 Revenge of the GPT Wrappers: Defensibility in a world of commoditized AI models
🔗 You Can't Build a Moat with AI (Redux)
🔗 AI and the Evolution of Coding
🔗 (WIP) A Little Bit of Reinforcement Learning from Human Feedback
🔗 A.I. Is Prompting an Evolution, Not Extinction, for Coders
🔗 Jailbreaking DeepSeek R1 - Prompt Injection Using Charcodes
🔗 OpenAI Unveils a New ChatGPT Agent for Deep Research
🔗 Strategic Wealth Accumulation Under Transformative AI Expectations
🔗 You Can't Build a Moat with AI
🔗 What Happens to SaaS in a World with Computer Using Agents?
🔗 The Quantum Leap: How Quantum Computing is Set to Transform Industries
🔗 The Titans Paper: Google's Next Transformer Breakthrough
🔗 How I use LLMs as a staff engineer
🔗 What Everyone Gets Wrong about AI
🔗 DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459
🔗 Gradual Disempowerment: Systemic Existential Risks from Incremental AI Development
🔗 A Little Bit of Reinforcement Learning from Human Feedback
🔗 Systemic Existential Risks from Incremental AI Development
January 2025
🔗 Things we learned about LLMs in 2024
🔗 The day I taught AI to read code like a Senior Developer
🔗 25 AI Predictions for 2025, from Marcus on AI
🔗 Building A Generative AI Platform
🔗 Capital, AGI, and Human Ambition
🔗 Nvidia shares sink as Chinese AI app spooks markets
🔗 AI Founder's Bitter Lesson. Chapter 1 - History Repeats Itself
🔗 The Future is Now, If You Want It
🔗 Why Everyone in AI is Freaking Out About DeepSeek
🔗 Chat-oriented Programming (CHOP) in Action
🔗 Markdown for the AI Era with AgentMark
🔗 What is an AI-first startup?
🔗 AI Founder's Bitter Lesson. Chapter 2 - No Power
🔗 DeepSeek R1 Replicated for $30 | Berkley's STUNNING Breakthrough Sparks a Revolution.
🔗 The 2025 AI Engineer Reading List
🔗 Where will AI be at the end of 2027? A bet
🔗 41% of Employers Worldwide Say They'll Reduce Staff by 2030 Due to AI
🔗 NeuralSVG: An Implicit Representation for Text-to-Vector Generation
🔗 Ignore the Grifters - AI Isn't Going to Kill the Software Industry
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