Why Working Memory Limits Make Expert-AI Collaboration Work Expertise is shaped by a simple cognitive limit: we can hold only
In our Chronicle study tracking how over 1,000 professionals adapt psychologically to AI, the highest-performing AI collaborators were using AI to help them build better abstractions.
This week we explore the evolving boundaries between human and artificial intelligence across multiple dimensions. We examine how AI multiplies
We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. To truly grasp this transformation, our approach is rooted in engaging with core concepts such as critical thinking, logical analysis, and the scrutiny of underlying assumptions, principles that are essential in the realm of philosophical inquiry.
As problems become more complex and interconnected, collective intelligence must evolve to keep pace, likely requiring AI systems as indispensable partners. 7 min read.
ChatGPT is about to celebrate its first birthday. It’s time for it to graduate from an experiment into a true product.
Here’s the issue: the current business model doesn’t make sense because increasing usage conflicts with profits.
Intimacy with technology has been the territory of science fiction. What happens if we are able to live those stories ourselves?
Apple isn’t being left behind in generative AI—it’s playing a different game. While every other tech company is spending billions on inference compute—Apple is being paid for it.
Suddenly artificial intelligence shows signs of being smart like humans. AI has been advancing so swiftly that leading AI researchers and entrepreneurs predict that AI will soon surpass humans on all cognitive tasks—a milestone commonly referred to as Artificial General Intelligence, or AGI.
How might we conceptualize the design of AGI? Rather than machines synthesizing outside human systems, we should create machines that enhance our holistic, social right-brained capacities, fostering collective wisdom.
We extend our Mind for our Minds series with an exploration of the relationship between creativity and generative AI. We wonder how AI can enhance human creativity and dig into different types of creativity.
How might a mind for our minds help us with the paradox of knowing what we care about but allowing us to care about something for which it has no knowledge?
How might AI machines affect human culture? And how will we adapt to new forms of cultural inequality?
