[Today's Recommendation] Worth reading on 09/08

Today's three posts all feel like practical notes rather than empty conceptual talk. From AI bias and SEO growth to game test benches, there are steps you can copy directly.

1. Teaching beginners how to run a small bias experiment on AI

This post replaces "Do you have biases?" with a red team/blue team assignment experiment. It requires starting a new chat every time to avoid context pollution and uses a 1-5 scale to record the rationality of both teams. It's suitable for beginners to follow the table and start running tests, helping them see if the model is only sensitive to team names.

2. Who is the AI SEO growth framework actually for?

The author tested the framework on a small SaaS site for two days. First, they assigned keywords to only one target page, then switched data permissions to a local sandbox to get things running smoothly. By changing comparison pages into scenarios, limitations, evidence, and next steps, AI search engines found it easier to summarize. This kind of structural optimization is much more practical than just shouting about traffic.

3. Letting AI play Portal itself: Build a non-burn-money test bench first

This post reminds us not to chase the $571 completion rate right away. Instead, use MAX_STEPS=300 and a small budget to build a ten-minute workflow first, checking if screenshots, key presses, and logs can run stably. Saving API keys via environment variables instead of hardcoding them is a lifesaver for beginners.