Chores

• Bills – done
• Lawn – done
• Clean house – done
• 11:30 Meeting with Tim – done
• Groceries – done

SBIRs

• 9:00 USNA meeting with Ron – done

GPT Agents

• I’m thinking of writing up something about providing value to consumers vs. extracting value from consumers. How this manifests in modern consumer culture (many examples of both, though timeless fashion vs. fast fashion might be a good one). Importantly, modern AI (in particular LLMs) has an innate (statistical) understanding of each of these value propositions. These systems, like any technology, can be used for either, but in this case, they can help provide a level of reflective insight, both to consumers and producers of technology platforms (private and government). I think it would be possible to generate some proof-of-concept examples along the lines of the browser plugin that I’m starting to work on. Maybe even directly reference romance scams? They are an extreme example of extracting $$  while promising to provide companionship to the lonely.