
Google is at War with Itself
Inside Google’s Dramatic Exits, Gemini Delays and More
Covering the important ideas in AI from all angles- technical, social, and economic. Read in over 200 countries. Useful to everyone who wants to learn AI. Critical to anyone trying to see what happens next. Sister Publication to Tech Made Simple.
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Inside Google’s Dramatic Exits, Gemini Delays and More

How I Breakdown New Companies/Solutions to Understand the AI Market

We raised a 4B model’s accuracy from 32% to 72% without training or fine-tuning.

Why the next frontier of reinforcement learning depends on teaching models what “good” means in subjective, open-ended tasks.

The geometry behind chain-of-thought, reasoning failures, and the paths models take to an answer.

What Fable 5, the Space X IPO, and other major events taught us about the space-- June 2026 AI Market Report.

How you can use Irys's AI platform to get much better results in your legal work

A map to the failure points in Generative AI, and What You should Do to Fix them

Martin Ford on Why Jobs Break From Consolidation, Not Robots

How fossil-fuel financing, lobbying, greenwashing, and weak regulation keep climate action stuck.

Understanding GLM 5.2 Beyond the Headlines

A guide to the most powerful (and most misunderstood) AI system on the planet

Why SpaceX's $1.77 trillion IPO will be force-purchased by your retirement fund — and what you can still do to stop it

How to Tell If an AI Project Is Actually Worth Shipping

How Irys beat Harvey AI and Anthropic on the Legal Agent Benchmark (1.7x performance with 39x lower cost)

Goodhart's Law is impacting AI across the board.

Why You Should Read: James Wang.

How AI is eating itself, and what an Old German Philosopher can teach us about Contrarian Bets

The physics behind wafer-scale AI chips, why they make LLM decode faster, and why capacity, software, and unit economics may still decide the company’s fate.

We’ve been using flat-earth math to navigate warped AI models. Here is the geometric fix.