Vivienne Ming
speaker
725 appearances
1 recordings
1 series
first heard Jul 2026
last heard 25 Jul
Vivienne Ming’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.
Appearances
and a tool that has all of the information available to it.
Let's not worry about hallucinations or the limitations of existing large language models and just assume we're getting great answers.
Which honestly for a lot of very modern models run at their highest levels is a pretty reliable assumption for most student level information.
It doesn't matter.
There's a whole there's a technical term in
Ed tech research literature, which is my favorite one.
Which comes out of also out of science fiction, which is sleezing.
And is the term
A more common one is satisfacing, doing just enough to meet the requirement.
But sleezing is figuring out how to satisfy the requirement without learning anything.
In other words, without actually engaging with the technology in the way it was meant to be used, like figuring out if I just hit the return key over and over again, eventually the AI tutor will give me the answer.
And then I submit the answer and I get full credit.
So students are great at figuring this sort of thing out.
I I was notably careful in saying the median in that we could literally identify a single person who represents the median, whereas, you know, to to be very pointed about it, often in large population studies, averages represent people that don't even exist within the population.
So um
This is the problem.
Everyone wants easy answers.
Yet the very nature of your question, both of those things are true.
AI isn't immensely personalizable.
technology, that's its strength and one of its biggest flaws.
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