• 1987 autophi transistors ...

1987 autophi auto parallel transistors Copyright (C) 2024 Christopher G Brown here is a short about coprocessing transistors and instructions of autophi. To escape a projected conclusion on any given artificial intelligence and skip that topic and contemplate a small picture of a larger magnitude would be my new idea in an old way. So let me explain. Nano and mini nano are now figments. So, let’s continue on a scale note. If we were to take software and control the io at every magnitude then there could be change in processing. For example, what I’m trying to get at is the software of today is mostly process guessing at the required scope of any flop or operation that the calculation will need. And then there’s the cloud that measures that need over and over again.

The question I am asking is there could be a simple change in every computer or phone that makes the cloud processing on a microsd. Let me explain, when you have a large group of computers lets compare those computers to small on and off transistors. So then if you have a large group of small transistors like a few CPU’s with autophi processing on top and then let’s say to compare the size as a scale and minimize the computation’s per “computer” or “transistor” and then accelerate that by automation of need and performance or outcome. Then there will be a more exact system of processing instead of guessing an allotment of unspecified operations.

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IMPORTANT USE NOTES Do not copy use or replicate this content without permission. this content is patented copryight and securely recorded. and such use will be punishable by USA Law. All Rights are Reserved by Christopher g Brown 2023-present. any issues please contact info@cri-one.com Copyright © 2024 CHRISTOPHER G BROWN All rights reserved The characters and events portrayed in this Book/Website are not fictitious. Any similarity to real persons, living or dead, is NON-coincidental and ARE INTENTIONALLY MADE by the author. No part of this book may be reproduced, or stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without express written permission of the publisher. ISBN-13: 9798303672574 ISBN-10: 8303672574 Cover design by: Art Painter Library of Congress Control Number: 2018675309 Printed in the United States of America

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