Thinking About Thinking
Indy Neogy and
Thinking About Thinking
Falk Lieder, Ming Hsu, and Tom Griffiths showed that the ‘rational’ solution to this computational constraint is to over-sample extreme outcomes. That is, you should apply something like the availability heuristic by calling those more extreme (easily accessible) outcomes to mind. The result is a biased estimate, but one that is optimal given the... See more
Jason Collins • We don’t have a hundred biases, we have the wrong model - Works in Progress
from Peter Watts: "We're not thinking machines, we're feeling machines that happen to think."
sari and
But that’s physics, and physics deals with the natural. Engineering, on the other hand, is a science of the artificial , and it would be downright strange to insist that engineering artifacts have no purpose or telos.
Maxim Raginsky • Engineers as philosophers, Part 3
Important point about engineering, but also something I regularly raise about how economics misunderstands itself
The metaphors we use shape how we view the world. Is the brain like a computer? Maybe, as Gurwinder says, the brain is the opposite: a machine that tries to circumvent thinking . Cognition costs time, and in a society that is information-rich and time-poor, people will use shortcuts to make decisions - feelings, aesthetics, environment,... See more
sari azout • Things I'm thinking about
No! The brain doesn't seek to circumvent thinking, this misunderstands the optimisation that goes on. The brain seeks to circumvent (where possible) computation - because computation is not only inefficient, but very often ineffective. Incidentally, beware of writers who decide they are PCs and you are an NPC.
The model was helpful—but only to an extent. They found that while AI improved the output of less creative writers, it made little difference to the quality of the stories produced by writers who were already creative.
Rhiannon Williams • AI can make you more creative—but it has limits
@gordonbrander Although perhaps a 2x2 makes more sense per @kevin2kelly https://t.co/55uzti2B17
("JP") and
alex and
The first is a weakened focus on the concept of bias. The point of decision-making is not to minimize bias. It is to minimize error, of which bias is one component. In some environments, a biased decision-making tool will deliver the lowest error. For example, statisticians and computer scientists often use a class of procedures called... See more
Jason Collins • We don’t have a hundred biases, we have the wrong model - Works in Progress
Minimize error not bias