About
Why gatodo exists
Artificial intelligence changes the economics of decision-making because it no longer simply produces information. It increasingly observes, plans, and acts on our behalf.
The question is no longer whether these systems are capable. It’s whether they remain observable, measurable, and under human control.
gatodo exists to help answer that question.
We are an independent AI Control Lab studying the measurement, economics, and operation of AI Control. Our work explores what it will cost, and what it will take, to keep increasingly capable AI systems under meaningful human control.
We believe the Intelligence Economy will advance only as fast as our ability to measure and maintain control.
What we do
gatodo studies the emerging science and engineering of AI Control.
Our work combines academic research, technical analysis, experimental design, and long-form writing to make frontier developments easier to understand, reproduce, and extend.
We focus on questions such as:
- How can AI control be measured?
- How should AI systems be monitored?
- Which control techniques are effective?
- What are the economic trade-offs between capability and control?
- How should organizations operate increasingly autonomous AI systems?
Our goal is to explain the frontier and help move it forward.
The gatodo newsletter
Every week, gatodo reviews hundreds of research papers, technical discussions, and industry signals to identify the developments most likely to shape the Intelligence Economy.
The newsletter distills those findings into clear explanations, practical insights, and connections across AI safety, AI Control, economics, governance, and frontier AI research.
It is written by Christopher Berry together with the AI systems he has developed to support research and analysis.
No hype. No outrage. Just the clearest signal we can find.
About Christopher Berry
Christopher Berry is an independent researcher and the founder of gatodo.
Over the past twenty years, he has led product, AI, data, and strategy teams across startups, public institutions, and global enterprises, helping organizations make better decisions under uncertainty.
Previously he served as Chief Operating Officer at Source, led Product Intelligence at the Canadian Broadcasting Corporation, and founded Authintic, which was acquired by 500px in 2014. Earlier in his career he built marketing science practices at Syncapse and Critical Mass.
His work has included:
- Machine intelligence and audience modeling at CBC
- Social analytics and contagion modeling for global brands including AB InBev, BlackBerry, and Coca-Cola
- Digital strategy and redesign programs for NASA.gov, Gucci, Dell, and Citi
- Innovation initiatives with organizations including Best Buy, JPMorgan Chase, and USAA
Christopher has contributed to ISO/IEC JTC 1/SC 42 Artificial Intelligence standards, organized Machine Intelligence Toronto from 2010–2020, co-chaired the Digital Analytics Association Research Committee, helped develop its Code of Ethics and privacy guidance, and has published research in the Canadian Journal of Transportation.
Today his research is focused on AI Control: understanding how increasingly capable AI systems can remain observable, measurable, and under human control.
Stay up to date
Subscribe to receive the weekly gatodo newsletter.
No spam. No hype. Just the clearest signal we can find.
Or contact Christopher directly at christopher at this domain