Of the two major costs to producing "AI" engines, only one has been getting much attention. The compute power, and associated energy costs, is well-documented. But real humans need to judge and code responses that the computer produces to "train" the AI to be, well, more human. This involves thousands of people, typically in remote teams working from computers at home. And it involves many millions of dollars in labor costs.
Neuroscientists at Dartmouth hope to automate this too. They can't just ask people "A penny for your thoughts?" and try to get the computer to match what a person says. Science has long known that people’s interpretations of normative behavior (what should or shouldn’t happen) are signaled via m-waves almost instantly, even before the people themselves know their own thoughts.
The team found that developed a brain signal aerial that harvests cerebellum signals before they develop into cogent thoughts. These are then used to code AI engine responses at a speed faster than thought.
“Instead of asking them to think and code their responses, we have something better and faster” said project director Slim Vitae: “Antennae for your oughts."
In rhetoric, successful humor relies on kairos, the art of opportunity, as well as circumstantial tactics privileging pathos and exigence.
The ideal group response—a positive shared experience—was proved by research to trigger similar neuronal effects when everyone in the audience received an unexpected gift of cash.
Jay and @Tig Tillinghast, is that nonfiction? Less on the AI and more on the brain side: I'm surprised that the cerebellum (primitive part of the brain found in all vertebrates) has much of a role in predicting speech, which comes from the Broca's area of the cerebral cortex (also a W something region in there), quite distant from the cerebellum. I would think the cerebellum's only role would be in the motor functioning of moving the mouth to make the sounds, but not in any part of the language. Fascinating if that's wrong.
Some of the most "primitive" species use trope-like cognition. I'm working on a future post having to do with species' umwelt--their perception of the world.
Phew. That was my original assumption (still loved the sci-fi Feghoot, a term I only just learned about from Jay's piece here). If true, that would be quite the revolution in how the brain works.
Of the two major costs to producing "AI" engines, only one has been getting much attention. The compute power, and associated energy costs, is well-documented. But real humans need to judge and code responses that the computer produces to "train" the AI to be, well, more human. This involves thousands of people, typically in remote teams working from computers at home. And it involves many millions of dollars in labor costs.
Neuroscientists at Dartmouth hope to automate this too. They can't just ask people "A penny for your thoughts?" and try to get the computer to match what a person says. Science has long known that people’s interpretations of normative behavior (what should or shouldn’t happen) are signaled via m-waves almost instantly, even before the people themselves know their own thoughts.
The team found that developed a brain signal aerial that harvests cerebellum signals before they develop into cogent thoughts. These are then used to code AI engine responses at a speed faster than thought.
“Instead of asking them to think and code their responses, we have something better and faster” said project director Slim Vitae: “Antennae for your oughts."
They really do make you cringe, but the smile lingers.
All the best jokes take four paragraphs of set-up.
In rhetoric, successful humor relies on kairos, the art of opportunity, as well as circumstantial tactics privileging pathos and exigence.
The ideal group response—a positive shared experience—was proved by research to trigger similar neuronal effects when everyone in the audience received an unexpected gift of cash.
In short, the secret to comity is diming.
That is my favorite nonfiction Feghoot!
Jay and @Tig Tillinghast, is that nonfiction? Less on the AI and more on the brain side: I'm surprised that the cerebellum (primitive part of the brain found in all vertebrates) has much of a role in predicting speech, which comes from the Broca's area of the cerebral cortex (also a W something region in there), quite distant from the cerebellum. I would think the cerebellum's only role would be in the motor functioning of moving the mouth to make the sounds, but not in any part of the language. Fascinating if that's wrong.
Some of the most "primitive" species use trope-like cognition. I'm working on a future post having to do with species' umwelt--their perception of the world.
Complete fiction. I actually thought I made up "m-wave," but apparently I must have read it somewhere.
Phew. That was my original assumption (still loved the sci-fi Feghoot, a term I only just learned about from Jay's piece here). If true, that would be quite the revolution in how the brain works.