Tech

The Download: controlling AI agents and “Super Intelligence” loyalty tests

Read full article at source ↗

Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 03/11/2026, 13:20:24 UTC.

Briefings

A new 'reverse game theory' approach aims to control AI agents by designing rules that incentivize desired behavior, such as equal cake portions. However, the article notes that while President Trump signed an executive order in September 2026 to rebrand AI as 'Super Intelligence,' adoption remains uneven, with many tech companies still using 'AI.' The source also highlights broader tech issues, including Nvidia limiting sales to non-Chinese clients, Google inflicting malware on 1.3 million Android devices, and a meteorite in the Sahara revealing clues about Mars. The piece concludes with a quote from a family lawyer advising clients to pay human experts for advice from chatbots, though it does not specify the date of this advice or the specific legal context.

Key points

• Reverse game theory is a method designed to align AI behavior with human rules by creating incentives, such as ensuring equal cake portions when one person cuts the cake.
• As of September 2026, President Trump signed an executive order requiring government agencies to rebrand AI as 'Super Intelligence,' though widespread adoption among tech companies remains inconsistent.

Context

This article from The Download discusses 'reverse game theory' as a potential method to control AI agents and analyzes the political landscape surrounding Trump's 'Super Intelligence' rebranding order signed in September 2026.

Limitations

The article does not specify the date of the family lawyer's quote regarding chatbot advice, nor does it provide the specific legal context or jurisdiction for that legal advice. Evidence on AI adoption rates is limited to the September 2026 executive order timeline.

Generated by Bittrees-hosted qwen35-2b sha256:aaf42c8b7c3c on 03/11/2026, 14:35:17 UTC. Based on publisher-provided feed evidence; may not cover the full original article. Check the source for details.

View archived briefing on IPFS
bafybeiew2ksgzcpsnnwsnue6rjds2zmrujqcp547dp4najcwguisflioxi