AI agents will outmaneuver salespeople by optimizing persuasion
Agents often lower the ceiling of what users can do. A lot of agents are explicitly trained to predict what people will want, or what will happen next, which encourages that which is average and predictable.
Saffron Huang • What is the point of making intelligent agents?
Increasing perversion of certain business models that are liable to be gamed or constrained by AI: We’re shifting from a world where data analysis required long cycles (analysts need lots of time to run queries, analyze, and then present findings in a way that people understand) to a new world of real-time optimization and insights (AI will mine th... See more
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
many of these biases come from our being stuck in our own minds. Now we have another (strange, artificial) co-intelligence we can turn to for help. AI can assist us as a thinking companion to improve our own decision-making, helping us reflect on our own choices (rather than simply relying on the AI to make choices for us). We are in a world where
... See moreEthan Mollick • Co-Intelligence
Assuming that everyone has equal access to the technology, you get what I call Syndrome Syndrome. Syndrome was the villain in Pixar’s 2004 movie The Incredibles whosesignature line was: “If everyone’s super, nobody is.” Syndrome Syndrome is what happens when everyone has access to the same technology at the same time. If everyone has an AI agent, n... See more
The One-person Billion-dollar Company
What will happen, more to the point, is that there will be an AI that knows our history, and knows that on this menu, you're probably going to want to order this, or you're talking to this person, you should talk to them about this. I've looked at your interests, I know something about their interests, these are the common interests that you have, ... See more
Sentiers • AI & the Future of Civilization
- Increasing perversion of certain business models that are liable to be gamed or constrained by AI : We’re shifting from a world where data analysis required long cycles (analysts need lots of time to run queries, analyze, and then present findings in a way that people understand) to a new world of real-time optimization and insights (AI will mine