Archive - Technology Made Simple

Why Redis is so Fast Part 1: The Historical Foundations

Inside the ruthless architectural decisions that made Redis one of the most predictably performant systems in modern computing

Jun 23 •

Algorithmic Arms Race: How Tech is Fueling Weapons Systems and Mass Surveillance[Thoughts]

The Increasing Merge of Silicon Valley and the Pentagon—and the Lines We Must Draw Now

Published on Artificial Intelligence Made Simple • Jun 15

Fine-Tuning LLMs is a Huge Waste of Time

People think they can use Fine-Tune for Knowledge Injection. People are Wrong

Jun 10 •

May 2025

Q1 '25 Cloud Update: Risk-Adjusted AI

A Quarterly Cloud Update on Amazon, Microsoft, Google, and Meta

Published on Generative Value • May 9

API Driven Development: The Necessary Prerequisite to MCPs

Why API-DD is a must for every modern software team

May 7 •

April 2025

What Big Macs, Waffle House, and Strippers teach us about unconventional health checks [Math Mondays]

Beyond Traditional Benchmarks: How Economists Measure the health of Economies with 3 unconventional metrics

Apr 8 •

The Surprisingly Solarpunk Life of the Game Dev Behind "Spilled!"

How a 25-year-old Dutch game developer reclaimed her childhood

Published on Push to Talk • Apr 5

March 2025

Google’s principles for measuring developer productivity

“All models are wrong, but some are useful.” How Google makes sure their models for measuring productivity are both useful and not problematic.

Published on Engineering Enablement • Mar 8

February 2025

Model Context Protocol: AI's TCP/IP

Agent-Computer Interfaces

Published on Software Synthesis • Feb 18

How Will Foundation Models Make Money in the Era of Open Source AI?[Markets]

What Investors and Product People Should Know about DeepSeek Part 2: Navigating DeepSeek, Mistral, LLM Moats, and Distribution. And why Hermes Birkin…

Published on Artificial Intelligence Made Simple • Feb 18

How Google uses AI to save Millions of Dollars on Computing Chip Design [Technique Tuesdays]

Improving Computing Chip Design with Reinforcement Learning

Feb 12 •

🗣️ AISW #045: Devansh, USA-based tech researcher and writer (AI, Software, & Wetware interview)

Listen now | An interview with Devansh, a USA-based researcher and writer on AI, software, and tech, on his stories of using AI and how he feels about…

Published on 6 'P's in AI Pods (AI6P) • Feb 6

59:34

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