- cross-posted to:
- programming@programming.dev
- cross-posted to:
- programming@programming.dev
US Federal Trade Commission Chairman Andrew Ferguson said on Friday he would resist describing AI agents as autonomous actors that “break loose” with “wills and desires of their own,” suggesting the developers who instruct agents would be the ones liable for harm.
“I’m going to continue as long as I am chairman to resist this anthropomorphizing of these tools,” Ferguson said at the Reuters Momentum AI Austin event. “If someone tells a tool to do something, and the tool does it, I don’t think we would say, ‘Oh, what do we do about the tool?’”
Ferguson’s remarks illustrated potential avenues for the Trump administration to take as incidents rise in which agentic AI testing resulted in unauthorized access to corporate or government data.
The “awesome” things about LLM is that people who produce choose with it, don’t review it because fully understanding what code does will take the amount of time (or maybe even longer) thank it would take to write it.
Then we have reviews, which put all that strain on reviews (since reviewer reviews other people’s code now the amount of work that was skipped by author goes on the shoulders of the reviewer but now it’s multiplied by the number of developers).
In my company they see that people who still care about quality being big down by this and their solution now is saying “you know what? Maybe we should skip reviews and really on (LLM generated, of course) unit tests”