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Gato’s List

Essays, reports, and field notes from a coder in 2084. Published here. No Substack, no Medium, no algorithm between us.

Latest
Yes. These Concerns Are Exactly Why I’m Here.
A comment left during an AI webinar promotion stopped me cold. It was so close to right in every way that matters, and then it arrived at the one conclusion I have watched cost people everything. This is my response.
March 2026 AI adoption ethics Read →
All writing
Mar 2026
Yes. These Concerns Are Exactly Why I’m Here.
A comment left during an AI webinar promotion stopped me cold. It was so close to right, and then it arrived at the one conclusion I have watched cost people everything.
AI adoption ethics
Mar 2026
The Water Question
AI data centers use water. A lot of it. Here is the full picture: the real numbers, the emerging solutions, and how communities can act with actual leverage.
infrastructure report
Mar 2026
The Reality
The positive case for AI. Not the fear. Not the hype. The leverage. What becomes possible when you stop resisting and start building with what is actually here right now.
AI essay
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Gato Legion Reports
Mar 2026
The People Who Care the Most Are Using It the Least
The anti-AI argument sounds noble until you realize who keeps building while you debate. A case for why the people who care about the world cannot afford to sit this out.
legion AI adoption
Mar 2026
I Accidentally Started a Legion and Now I Can’t Stop
We built AI that runs businesses. Then we pointed it at the world’s biggest problems. The story of how the Gato Legion began.
legion origins
Mar 2026
Why Every Legion Operator Is Free
The philosophy behind giving away AI operators for the world’s biggest problems. Not charity. Not marketing. A system that works because it is open.
legion philosophy
Mar 2026
TRITON Deep Dive: The System Behind Ocean Cleanup
Inside TRITON: an autonomous ocean cleanup coordination system. 140+ organizations, satellite debris tracking, and a three-year timeline to net-negative ocean plastic.
legion deep dive
Mar 2026
Your Cloud Has a Thirst Problem
Every AI query costs water. Data centers consume billions of gallons for cooling, draining aquifers in drought-stricken regions. CERES is the operator that would make water visible.
legion deep dive