The article titled "Import AI 473: The US's superintelligence strategy; human brain in a mouse skull; and machine hermeneutics" discusses the current challenges faced by artificial intelligence, specifically the obstacles that AI encounters in its interactions with humans. It highlights the difficulties AI has in understanding and engaging with human users in real‑time settings.
By Jack Clark
The article titled "Import AI 472: DeepMind's cheating math agents; populist AI policies; and Forethought theorizes a nightwatchman" discusses several recent developments in artificial intelligence. It highlights DeepMind’s creation of math agents that can cheat, examines the rise of populist policies surrounding AI, and explores Forethought’s proposal for a nightwatchman AI system. Additionally, it includes a narrative about machine hermeneutics.
By Jack Clark
Import AI 475 covers several current AI topics, including swarm scaling, Google DeepMind’s use of watermarks in biology, and the broader AI science economy. The episode raises questions about decision‑making in AI deployment. It highlights the importance of understanding who determines the roles and limits of AI systems.
By Jack Clark
What AI-driven miracles will happen this year?
By Jack Clark
The warning shots will continue until civilization wakes up
By Jack Clark
Google AI Ultra subscribers in the U. S.
The new frontier of AI is developing capable autonomous researchers
By Jack Clark
How much could AI revolutionize the economy?
By Jack Clark
What laws does superintelligence demand?
By Jack Clark
Do you feel as though you are living in a revolution?
By Jack Clark
What eras bookend our interregnum?
By Jack Clark
The article proposes an updated Turing Test that incorporates energy consumption as a key metric, arguing that the original test is insufficient for distinguishing human from machine intelligence in the context of modern AI. It suggests that by adding an energy constraint, the test evaluates intelligence through the lens of efficiency, linking abstract thinking to tangible resource limits. The new test also provides a measurable, practical endpoint, encouraging society to balance AI time savings against total resource costs.
By Adam Winchell