Author: Inferential Loop
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Figments of Unforgettable Memories
Why do I sometimes forget where I put my phone down? Why can I sometimes not find the word I know exists for a specific situation? Yet, why does this picture always bring back vivid memories of a sunny day with my dad on the shores of Sandbanks Provincial Park? I was only a toddler…
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Amara’s Law and the AI Buildout: Overhyped but Also Underestimated
There are many comparisons being made between the current AI buildout and the Internet and dotcom buildout that started almost 30 years ago and ended in a bust in the early 2000s. Ethan Mollick recently reminded me that Amara’s Law is a useful way to think about this comparison. That is, we tend to overestimate…
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Human-Fuelled Always: A Practitioner’s View from the Other End of the Loop
Dear Inferential Loopers, Brian writes about transformers and cognitive science. I write notes about the sector I love – University Advancement, the fundraising and alumni engagement function at colleges and universities, where we build lifelong relationships between institutions and the people who care about them. And we’ve somehow arrived at the same conclusion from completely…
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A Step Towards More Adaptable Transformers
Humans can understand and learn, and animals have also demonstrated great learning ability. With this ability to learn, we can also adapt, and I recently read about a kea parrot in New Zealand missing his upper beak, who adapted so successfully that he became the alpha male of his circus. This type of open-ended adaptation…
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Welcome to Inferential Loop!
Inferential Loop is a place for thinking through artificial intelligence, cognition, reinforcement learning, and computational models of mind. I will use this blog to work through ideas, papers, projects, and questions about how intelligent systems learn, represent knowledge, and reason under uncertainty. The goal is not to present finished answers, but to make the process…
Inferential Loop 