...
but is so new and revolutionary that companies are afraid to be first?
...BrainChip's product.
I recently had the thought again of what it would have been like if Brainchip had a simple ready-made product that people understood, cost little and only served to make NC known to the masses. In my view, GPT was a huge success not because it can be very useful, but because it was easily accessible and even people with no premonition used it as a crystal ball or just to play with. The world got to know it in a short time.
Examples are not so easy for me to think of, but with a lot of imagination maybe something in the size factor like a refillable vapour for testing liquids and that can be trained and then trains itself. Imagine if there was such a thing and you went into a bar, put it in a cocktail and it tells you what it is and what's in it. Or others would use it for their whisky and others for their coffee, beer tasting or green tea to determine the perfect temperature with little bitterness and so on? So it's more of a playful character and to show that there are also simple applications and that you don't have to be a rocket scientist.
Or a simple camera that does nothing more than tell you what it has just photographed.
My idea is probably too naive. But market acceptance comes after the perception that something like this exists. GPT was thrown onto the market that didn't existed and that was exactly the right tactic. Suddenly so many people are starting to think about how they can use it for their own companies.
NPUs in smartphones, for example, are nothing new. But very few people think about the benefits. A low-cost device for simple recognition and without a cloud would drastically demonstrate the possibilities in a playful way, which is fun for people and automatically ensures acceptance. The market would emerge automatically.
Perhaps a better idea for the bar counters.
I don't want to be a heretic.
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Imagine that at the beginning there is this little cheap camera that can do nothing but take pictures to recognize what is seen and the user has to tell it what it is. Later it recognises it all by itself and gets better and better at it. Then others play around with it because they see a market that nobody else 'sees', blind people. A blind person points a well-trimmed camera at a scene and with SLMs this camera tells what the blind person could be looking at, or what a deaf person could be hearing and is now reading on the small display. Myriads of applications just in this small case.
~~The customer only can buy what he sees, I have often said to myself over the years, or so I think.
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The exchange on Reddit, for example, about these simple models. One to the other: I found something brilliant here and loaded it onto my Akida....
GPT is hip and that opens up its market.
It was the same with the video cassette. No end user was interested in the technical realisation. It was purely about that thing that was new. ...nobody can buy what
nobody can see.
Think of GPT first at market and would existing only in labs and...
what it is today.
What's a neuromorphic chip anyway?
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