Just to be clear, while I spent time at the same research institute, I am
not the author.  The author is Yiannis Aloimonos @UMD:
http://users.umiacs.umd.edu/~yiannis/

On Tue, Aug 31, 2021 at 3:47 AM <[email protected]> wrote:

> Yes good read, I think many of us already know all this though. BTW you
> made it into a blog post but really you only said a few things in there
> that was your point.* Only saying this because* the paper I read called
> foundation models was way too big, yes big is good but first of all it uses
> complex formal language which does not make life simple like markov chains,
> and second it is unfocused and can be summarized 100 times smaller.
>
> Yes the multi-model GPT ex. DALL-E is a big improvement, using vision and
> text is a big jump up, we wouldn't need a multi-model if it wasn't so
> useful! It's like training on a dataset about dogs....just dogs....then
> multi-modal is like dogs+cats, or dogs+clothing....so it gives it a wider
> spectrum on data collection....similarly a vison that sees beyond our color
> spectrum will give it "more data" using the "same amount" of train data as
> well.
>
> Yes, adding motor ability to our world will be another giant "multi-model"
> ability to add to its mix in neuronal mixing. It decides where to collect
> data from in the real world, or the internet, then it learns, and decides
> again where to search now, repeat, it is all about data collection to
> decide where to collect data. Adding motor ability doesn't need a body
> exactly, it can use Google to search specifically on the internet what to
> read, or what thoughts to think about and what to store it thinks up. For
> motor ability to figure out how far a face is by using your hand/etc
> instead of a distance sensor, yes, this collects you data. You can also use
> the size of the face etc to determine how far away it is. Deciding what
> data to eat/make on its own is a big step up from being fed image and text
> data from us, it allows it to have agency, to learn, instead of us making
> it learn. Using a body to do this is a great way but thinking / using Goole
> / using a machine using its thoughts is also great ways that fill that need
> of a humanoid robot.
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-- 
Daniel Jue
Cognami LLC
240-515-7802
www.cognami.ai

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