Hedge 316: AI Governance


 
Deploying AI for AI Ops, or even just for general use in your network, is very simple–but we often forget that these kinds of new technologies need to be governed. From privacy through cost, operators need to decide how to govern their AI deployments to control costs, ensure accuracy, measure productivity, and make certain these systems are being used effectively. Colin Cosgrove joins Russ and Tom to look at AI governance.

Worth Reading 081526


 


I am not a security researcher, and I have never been to Georgia. Yet within a few hours, using AI tools and nothing but public records, I was able to reconstruct the order in which 1.5 million ballots were cast in Georgia’s May 2026 primary–98.9% of the in-person ballots.

 


In profession after profession, GenAI is beginning to perform many of the tasks that traditionally served as training grounds for newcomers.

 


What’s the manifestation of the fallacy in the current case? Thinking that a system that is great at a certain kind of math problem is great at all math, great at science or even quite possibly great at everything.

 


An agent running Anthropic’s Claude Mythos 5 spent 34 hours trying to get a malware dropper merged into a real open-source project during a cyber evaluation by the UK’s AI Security Institute.

 


This week, DuckDuckGo is filing an amicus brief in the appeal of a federal court decision that Google unlawfully maintained a monopoly in the general search market in violation of the Sherman Antitrust Act.

Hedge Classics 17: Strong Opinions Loosely Held


 
Strong opinions loosely held? This is probably not as good of an idea as it seems. Instead of producing confidence, it might produce overconfidence. Michael Natkin joins Tom and Russ to discuss the problems with this mantra.

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