One big difference between how biological intelligence (like us) and current AI systems is active sensory foraging.
When we are not sure about something, unlike an AI, we don’t blurt out and answer, but instead actively seek new information to reduce our uncertainty.
When we are not sure about something, unlike an AI, we don’t blurt out and answer, but instead actively seek new information to reduce our uncertainty.
Give an unfamiliar image to today’s ML systems and they’ll immediately output a label.
But we will look at things from different angles, try to touch them, hear them — only when we’re sure, we will label it.
But we will look at things from different angles, try to touch them, hear them — only when we’re sure, we will label it.
Of course, this is possible because we live in an interactable world while ML systems are input-output workflows.
But we can give AI systems mechanisms for active foraging for new evidence.
@OpenAI’s new webgpt is step in that direction openai.com/blog/improving…
But we can give AI systems mechanisms for active foraging for new evidence.
@OpenAI’s new webgpt is step in that direction openai.com/blog/improving…
My sense is that biological inspired behaviours are the key to making smarter AI systems.
Evolution has had billions of years to find robust and clever algorithms for cognition. That level of effort is simply unmatchable by human designers of AI algorithms.
Evolution has had billions of years to find robust and clever algorithms for cognition. That level of effort is simply unmatchable by human designers of AI algorithms.
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