Thursday, October 10, 2024

disadvantage does not cancel out advantages (Kepner and Tregoe [1965])

    An advantage does not "cancel-out" dis-advantage, the disadvantage remain until 'corrective action' (gets rid of the known cause of a problem) are taken.

approach

p.202, p.203
Note that in choosing house A the manager knew why and on what grounds he was doing so.  He did not take the "cancel-out" approach used by some managers in decision making.  In this approach, ([in this approach]) the assumption is that an advantage cancels out a disadvantage so that things even up.  This is not so.

([pause])
If there is a disadvantage attached to an alternative, finding an advantage does not get rid of it.  Once the decision is made, the disadvantage will have to be lived with until it is removed by corrective action of some sort.

([pause])
The only safe way to deal with disadvantages in decision making is to recognize them and to keep them visible before one throughout the process.  A final decision or course of action can then be made in full knowledge of the disadvantage rather than by glossing over defects and hiding them.

([pause])
Having all the assessments that enter into a decision visibly set forth is a major advantage in itself.  For one may readily go back to reexamine the judgements made and consider corrective actions that can be taken to improve an already good alternative.

       1965 by Charles H. KEPNER and Benjamin B. TREGOE

     (The Rational Manager : A Systematic Approach to Problem Solving and Decision Making, Charles H. KEPNER, Benjamin B. TREGOE,   1965, p.202, p.203)
   ____________________________________

The Rational Manager
A Systematic Approach to Problem Solving and Decision Making

Charles H. KEPNER
Benjamin B. TREGOE

(Kepner-Tregoe Analytical Methods, root cause analysis, statistical process control (SPC), total quality management(TQM), six sigma)

Introduction

By Perrin Stryker

       This book needs no introduction to some 15,000 experienced managers who by 1965 had gone through the training programs developed by Drs. Kepner and Tregoe. It is safe to say that every one of these managers made the same startling discovery that his own private system for handling problems and decisions simply did not work very well and often did not work at all. This is, unfortunately, a discovery that few managers seem to make in the course of their own careers, and they fail to make it largely because the re-education and improvement of their reasoning habits have not been considered
necessary.
       Yet the cost unsystematic and irrational thinking by managers is undeniably enormous. If he wants to, any good manager can easily recall from his experience a wide assortment of bungled problems and erroneous decisions. As an executive of a large corporation long honored for its good management once said to me, "The number of undisclosed $10,000 mistakes made in this company every day makes me shudder." However, like others in management, this executive did not think his subordinates could be trained to think more clearly about problems and decisions; he remained inarticulate about his own thought processes and did not seriously question his habits and methods in handling problems and making decisions. This is understandable. It is much easier for a manager to study things like finances, materials, and markets than it is for him to turn his mind upon his own reasoning processes.
       Moreover, clear concepts about the reasoning processes used by managers are still scarce. In recent management literature a lot of attention has been paid to the difficulties involved in handling problems and making decisions. (Brief descriptions of some of these studies will be found in bibliography.) But nearly all the theories and systems proposed seem to be either obscurely complex or obscurely thin and superficial, and they commonly confuse the processes of problem analysis with those of decision making. The arrival of computers and data processing appears to have compounded the confusion. On the one hand, managers are urged to apply computers to their business problems, while, on the other hand, they are frequently reminded that such mechanisms and procedures cannot make their decisions for them. The reminder is essential, for, no matter how many computers he uses, the manager himself still has to know how to reason clearly about problems and their possible solutions.
       There is, of course, more involved in being rational manager than the ability to think through problems and decisions logically and systematically. For one thing, a manager needs good judgement to make good decisions, and this capacity is itself a compound to experience, values, and innate abilities which may dictate courses of action that are not neccessarily the products of strictly logical reasoning. Setting objectives and policies similarly involves considerations that may not be reasonable from one or another viewpoint. But the capacity to reason systematically is unquestionably a basic neccessity for any manager who hopes to manage well. Successful managers have developed this capacity through experience. But the first chapter of this book shows that even experienced managers are
surprisingly inefficient in the ways they go about handling problems and decisions.
       It was this inefficiency that attracted the attention of the authors during the 1950s while they were working for the RAND Corporation in California. For several years up to 1958 Kepner, a social psychologist, and Tregoe, a sociologist, had spent most of their time working with advanced systems of defense for the Air Force, and this "ivory tower" occupation eventually got them thinking about the ways people use information in a highly automatic data-processing system. On their own time they studied the effects of automation in industry, and from there it was only a step to the processes of decision making. They soon saw that a great many business decisions were often wretchedly made and extremely costly. They were convinced that there must be some principles and basic techniques that would improve this managerial performance. From their work at RAND they knew that new directions would have to be followed if they were going to develop the underlying concepts of decision making. So they decided to leave their jobs and undertake this research entirely on their own.
       The progress of their research is instructive. First, they reviewed the literature on problem solving and decision making, looking for techniques and concepts or principles that might explain the difference between good and poor decision making. They found bits and pieces, but precious little that they considered useful. Then they examined the internal workings of an organization from policy level to accounting procedures, looking at its complete operation. But these business details did not help in finding concepts that could be used in solving problems. Sitting in Tregoe's garage they spent hour after hour trying first one idea or techniques and then another, but nothing worked out to their satisfaction. Then one day they completely reversed their attack and decided to start with a problem of a company and work backward through the process of solving it, dissecting the thought process involved at each step.
       This engineering approach produced entirely different results. They developed a set of ideas based upon what a manager has to do to solve a problem in real life; then, to help make these ideas visible, they developed a simulation of an imaginary company which they call "APEX." The first problem they posed for research was a series of customer complaints about one style of APEX's screen doors. They chose this problem because Tregoe happened to be looking at his own screen door as they sat in his garage, and they figured that some trouble with a door would be an easy thing to visualize.
As they began to think through the detail of this screen door problem, they began to expose some of the common confusions of problem solving; they saw, for instance, that it was no use to advise a manager to "define the problem" before he had even identified which was the most important or urgent problem he had to deal with. Nor was it fruitful for a manager to ask why a problem had occurred before he knew exactly WHAT it was he had to explain. By such pragmatic thinking they followed through the processes that would be involved in reaching a correct solution, and they backed up their findings with more field research. They spent six months asking managers in a variety of businesses about the steps these managers actually took in solving typical problems and making decisions about them.
       This research produced many fresh concepts. While the concepts in existing textbooks were based on one discipline
or another, those of Kepner and Tregoe were eclectic and did not fit with even bits and pieces of the established works on
problem solving and decision making. For example, they developed the concept of a problem as a deviation from a standard, and the concept of cause as unplanned, unexpected change, and only later learned that Professor Herbert A. Simon was at about the same time independently arriving at similar concepts in his computer research on problem solving theory. For their analysis of problem solving and decision making, Kepner and Tregoe eventually developed fourteen concepts (summarized in Chapter 3) and then moved on to the process of potential problem analysis which is dealt with in the last chapter of this text. The whole progression took nearly five years to develop to its present stage, and further developments and refinements will undoubtedly follow.
       The validity of these concepts and procedures has already been established in the most convincing way, by practical applications on the job. Some of these applications, described in Chapter 9, demonstrated the flexibility that managers have used in adapting the ideas and techniques to special situations. It is also notable that training in the use of the concepts and procedures has become a regular part of management development in some of the leading United States corporations, including General Motors, Ford, Du Pont, General Electric, Honeywell, and IBM.
       Managers themselves will probably find the training methods devised by Kepner and Tregoe and their associates to be as impelling as the concepts. The authors present a full explanation of their teaching methods in the appendix, but I would like to emphasize here that this training provides a kind of experience that managers rarely, if ever, get. In this three part training method, the first part--study of the concepts--is familiar enough and parallels the kind of vicarious management experience gotten through lectures, discussions, audio-visual and case study methods. The second part--intensive practice of the concepts and procedures in a simulated business situation--is also not entirely new, though in its sophistication and intensity it differs from in basket techniques, workshops, and role-playing sessions. But the third part of this training--the feedback sessions on actual performance--is not duplicated anywhere else to my knowledge. For these feedback sessions provide the managers with an immediate and detailed critique of their actual performance and show them HOW they went about solving problems and making decisions, WHAT was wrong or might be improved, and HOW they can revise their performance. By way of contrast, managers playing business games with computers are in effect simply guessing the computer's philosophy of business and management; they do not learn how they went wrong and specifically how they can improve their decisions--and, of course, such games teach nothing about the analysis of problems.
       The research and training methods developed by Kepner and Tregoe carry certain inevitable and significant implications for anyone interested in the processes of management. Their work clearly shows that problem analysis and decision making are management acts that should be consciously and systematically performed, and if necessary, recorded. The idea that a manager should be conscious of exactly what he is doing while he is managing may not sound revolutionary, but the fact is that such management is seldom found in industry today. The absence of conscious, systematic problem analysis and decision making is not only responsible for inefficiency and waste; it is also responsible, in large part, for the general neglect of two of the most important management functions: the setting of clear objectives, and the setting of clear performance standards for personnel.
       Perhaps the most significant implication of the concepts and procedures described in this book is that they anticipate the kind of manager that will be needed in the future. As the authors have pointed out, the continuing increases in technology inevitably mean that managers will know less and less about the skills and knowledge of those they are managing, and will have to depend more and more on their ability to manage the operating techniques of those reporting to them. And in order to manage the way a subordinate handles problems and decisions, a manager has to know how to ask just the right questions. It is precisely with this critical management skill that this book is ultimately concerned. Such skill cannot, of course, be acquired overnight, and one reading of this book will certainly not develop it, but in my judgement there is no better place to start.



CHARLES H. KEPNER, a graduate of Fresno State College, holds an M.S. degree in psychology from University of Oregon and a Ph.D. in social psychology from University of Michigan. He spent several years in contract research in Canada in the fields of mental health, conservation, and medicine,
and was research director for the Royal Commission on Agriculture and Rural Life. Following two years in military training research at the RAND Corporation, he left to join Tregoe and set up their organization to study problem
solving and decision making.

BENJAMIN B. TREGOE, a graduate of Whittier College, holds a Ph.D. degree in sociology from Harvard, and has lectured at University of Southern California and at University of California at Los Angeles. For three years he was field training consultant to several Air Force installations, and was doing systems research at the RAND Corporation before joining Kepner to establish KEPNER-TREGOE AND ASSOCIATES, INC.


  1965 by Charles H. KEPNER and Benjamin B. TREGOE


(The Rational Manager : A Systematic Approach to Problem Solving and Decision Making, Charles H. KEPNER, Benjamin B. TREGOE,   1965, )
   ____________________________________
The Rational Manager
A Systematic Approach to Problem Solving and Decision Making

Charles H. KEPNER
Benjamin B. TREGOE


pp.80-87
    Take, for example, the problem that was faced by a manufacturer of an automatic garage door that was electronically powered and motivated by a tiny radio transmitter in the car.  The transmitter signal would activate the door, raising it if it were down and lowering it if it were up.  The transmitter had an ultrashort range, so that one signal would not raise all the doors in the block.  When the doors were first introduced in 1958 they were very successful, but as the fall approached and the weather turned cooler, the fog from the bay began to roll in and complaints also began to roll in.  Such as: "Damn thing came right down in the middle of my new covertible--and I didn't touch the transmitter button!"  And one woman phoned:  "Come and take your door off; it came down and almost killed my husband last night."
    The company, facing a major crisis in these complaints, proceeds to specify the problem.  The specification showed that the complaints came in only on certain days but not on others, and particularly late in the afternoon and evening.  Also, the complaints came from a single area on a part of land extending into the bay.  This particular piece of information came out as they plotted the sources of the complaints on a map of the city.  It soon became apparent that the complaints came from a strip of land cutting entirely across the residential section of the point.  This area of complaints was wider at the ocean end and narrower at the bay end.
    Once this specific outline of the problem area had been drawn, the search for distinctions in the specification began.  What was distinctive of the days when there were complaints as opposed to the days when there were none?  A quick check showed that days of complaints were days of heavy fog.  What was distinctive of late afternoon and early evening?  This was when the fogs rolled in, if it was going to be foggy.  What was distinctive of the narrow coneshaped strip of land from which the complaints came? This strip was directly in line with the end of the longest runway of a Naval air station located on an island out in the bay.  Planes crossed that strip of land as they made their final approach.
    Thus the distinctions found in the specification were "fog in the air," and "planes across this area on final approach to the longest runway."  Now, within, or with respect to, these areas of distinction, what changes took place?  During the foggy periods the Naval air station flight controller guided the aircraft in to landings by radar, and he used a special radio frequency.  He also used the longest runway exclusively for ground-controlled approaches.  Aircraft coming in over the strip of land on foggy days also used the same special radio frequency.  A check on this frequency proved it to be the same as the frequency used to operate the garage doors.  Every time the Naval flight controller and the incoming pilot would speak to one another during an approach, their radio frequency would run the doors up and down.  Once this was recognized by the door manufacturer, the door mechanisms were changed to a new frequency, and the trouble disappeared.  After the fact, everyone recalled that all the doors had opened or shut about the same time, that there was always a plane overhead, and that it was always foggy at the time.  But they had not recognized these things at the outset.  Their experience didn't help them see the pertinent facts.

p.82
FIGURE 15   This diagram shows the distinction that led to the cause of a mysterious opening of garage doors in one locality.  As the clues to cause, distinctions are a major tool of problem solving.  If a cause has an effect one place but not another, there MUST be something distinctive of that one place to make this happen.

    Similarly, a manager's technical know-how and experience cannot be expected to guarantee a precise specification of a problem in his area.  Technical experience, in fact, can easily blind managers to the very facts that would lead to solution.  This was demonstrated in a plant of a large paper manufacturer where there is a pulping plant and  a paper machine in line, with softwood logs being chipped and boiled with certain chemicals to the right consistency, and then fed as pulp into the papermaking machine.  The plant was working well when suddenly it was discovered that small pieces of wood were coming through in the dried, finished sheets of paper.  It was immediately assumed that something was wrong in the pulping process, that one of the huge stainless-steel screens had broken.  Whereupon some $70,000 worth of new equipment was ordered to correct the problem.
    However, one man was not blinded by his papermaking experience.  He did not take the "obvious" explanation.  Instead, he closely examined the troublesome wood pieces in the paper and found that these were not softwood chips but hardwood splinters; moreover, they had never been cooked or chemically treated.  Then he spotted a hardwood pipeline used to transfer the pulp to the papermaking machine.  He told his colleagues that the lining of this pipe must be breaking up on the inside and letting hardwood splinters get into the pulp mixture.  His colleagues thought he was crazy because they had never heard of a hardwood pipe breaking up on the inside.  But his explanation was finally checked out and found to be so, proving that the problem had nothing at all to do with the pulping equipment.  This might have been determined at the outset if the problem had originally been precisely specified as "uncooked hardwood splinters in finished paper," instead of simply "piece of wood in the paper."
    Precise time can be critically important in a specification.  For example, some time after one cocoa manufacturer introduced a new combination metal-and-cardbroad container, loud complaints began coming in from house wives.  They protested that when they opened the new cocoa cans they got a very strong disinfectant smell out of the can.  However, the company found that other housewives using the same brand of cocoa in the same new cans had no complaints about odor at all.  The trouble was only traced down after time was specified  as one of the characteristics of the deviation.  When the company followed up on the lot numbers of the cocoa cans that were bringing in the complaints, it turned out that the cocoa that smelled of chlorine disinfectant was distinctive in that it had been on the dealers' shelves for "three months or more."  And cocoa packed in the same kind of containers and taken from the same lots, which had been on the shelves for less than three months did not smell of chlorine.
    This distinction in shelf time spotted the change that caused the problem:  the container manufacturer had begun using a new chlorine disinfectant to sterilize the wood pulp before forming the container, as required by law.  This chlorine residue in the cardboard was liberated over a period of three months or more into the air space of the cocoa container, producing the disinfectant smell.  It was an expensive change:  the cocoa manufacturer collected $800,000 in damanges against the container manufacturer.
    The critical information that must go into a specification is not always easy to recognize.  A good deal of questioning is often necessary to dig it out, particularly with respect to distinctions and changes.  Such was the case with a major engineering and electronics company that developed secretary trouble after one of its reorganizations.  The girls became dissatisfied, then unhappy, then furious.  They complained that nothing were no good, that their desks were not level, that the air conditioning was noisy, and that management decisions were getting worse and worse.  Attempts to specify the exact nature of the complaints led to much emotional catharsis but little hard data, as sometimes happens in situations like this.  However, specification of "What Object"--in this case "who," i.e., the individual girls involved,--was somewhat easier.  These girls turned out to be only about a fifth of the secretaries employed.  Specifying "Where Observed" located all the dissidents in an older buildings--but not all of the girls in this older building were complaining.
    Then it took a lot of probing to recognize what was distinctive of these complaining girls in the older building.  The distinction was that all of them had been moved during the recent reorganization.  Shortly thereafter the relevant changes were discovered: in each case, the girl had been moved from a new building to the older building, or from a larger to a smaller office within the older building.  These changes were the cause of the problem: the girls were resenting the loss of status implied in the moves.  Nothing was wrong with the typewriters, desks, air conditioning, or management's decisions, with the possible exception of the lack of foresight shown when considering the moves.  But as long as the problem was analyzed in terms of the complaints themselves, little progress was made toward finding the cause.  As soon as the girls who were complaining were treated as the IS, and the noncomplainers as the IS NOT, it was possible to move ahead.  Even the, the critical distinction was not recognized until after much probing.  But then it became obvious: "Of course, why didn't I think of that before?"
     These cases, and many more like them, repeatedly demonstrate how necessary it is for the manager to use both exact and inclusive observation in developing the specification.  Since every problem differs somewhat from every other problem, the facts in a specification must represent the uniqueness of the deviation precisely, or the clues to the cause may be missed.  As the specification illustrated on page 77 shows, the question are all about what, where, when, and how big.  The question "why?" is never asked, for this can only be answered when the cause is known.  Asking "why?" is an invitation to speculate loosely about causes.  If such speculation is allowed to enter into a specification, the tendency will be to develop facts that "prove" a cause which the manager suspects or has a hunch about.  This does not mean that he need throw his hunches away, but he should set them aside until he has precisely specified the problem and analyzed it for the distinctions and changes that will lead him to possible causes.  Then he may test his hunches as to changes that have occurred, along with the possible causes he had derived from this analysis.
    As a practical matter, it does not take much time to set out the elements of a precise specification.  He asks WHAT is wrong and WHAT OBJECT is affected; WHERE on the object the deviation occurs and WHERE objects with such deviation are observed; WHEN the deviation appears on the object and WHEN objects with the deviation are observed; and HOW BIG the deviation is and HOW MANY objects with deviations have been observed.  A manager can then go through the facts about a deviation rather swiftly as he concentrates on separating what the deviation IS from what IS NOT the deviation but is closely related to it.
    Once he has described and drawn an exact line around the deviation, he can proceed to analyze the specification for clues to the problem's cause.  As already indicated, this process of analysis includes two stages: (1) a search for those characteristics distinctive of the IS but not of the IS NOT in the specification, and (2) a search for changes within such areas of distinction.  These clue-seeking procedures will be spelled out in the following chapters.
    p.96
    ...  Problems are often made more difficult by the element of time.  Time distinctions are therefore often critical in the solution of a problem.  Time distinctions are therefore often critical in the solution of a problem.  Thus the effects produced by a change may not be noticed immediately, and this time lag between change and observed effect may cover up the clues needed to relate cause and problem.  Or it may be that time is required for the change to produce an effect, ...
    p.97
    ...  Without complete knowledge of the problem you sometimes cannot recognize the answer when you have it.
    p.98
    ...  Often one of the smallest and seemingly most inconsequential details will be the one that identifies a distinction that points to the change that caused the problem.
    p.99
    ...  There are simply too many possibilities.  A distinction must be found to narrow the search for change down to within reasonable limits.
    p.99
    ([...  missiles testing for assembly, manufacturing and quality assurance issues, in one case study the problem was with how the wiring inside the missile assembly was tied-down (by the way, wiring problems was not detected in quality assurance), in second case, it was the fin of the missile, the fin came loose at high-altitude because of the cold and metal contraction, causing the fin to wobble during high-speed flight, neither problems was obvious because the sometimes the fin was secured enough and the missile was not tested at high altitudes each and every time for enough length of time to cause the metal to contract to cause the fin to wobble during flight, and for the wiring problem, that was a production issue and if the right guy was tying down and doing the wiring, there would be no problem with that missiles batch.  ])
    © 1965 by Charles H. KEPNER and Benjamin B. TREGOE
     (The Rational Manager : A Systematic Approach to Problem Solving and Decision Making, Charles H. KEPNER, Benjamin B. TREGOE, © 1965, pp.80-87, p.96, p.97, p.98, p.99)
   ____________________________________ 

Alan Kay

 Alan Kay, 2015: Power of Simplicity
https://youtu.be/NdSD07U5uBs?t=1992
https://youtu.be/NdSD07U5uBs?t=1992
Aug 10, 2015

ten years ago today 
ten years into the future
go back ten years from today
let's imagine a 10-year vision (10-year plan) (10-year blueprint) 
five-year horizon are necessary 
five-year horizon, most invention come up in the first three years
you set a three year horizon, you're not going to get them
that five year horizon allows the people to do the right thing the first year
at Apple, most of the thing we did took about three years 
if everything go right, you get a ~ 7 years thing from this 10 year framework that you have set up
7 years ago, Today was 7 years in the Future!
anything that's new, 7 years is about ... you can do it, 
you can almost do always do it under 10
a [relatively] small amount of money, but allocated over a time that could be
a [relatively] small amount of money, but allocated over a time that could be 
longer than most CEO stay around ... 
very dollar that you take out of this thing, is a dollar that you can used to improve the bottom line 
ARPA funded universities
IBM couldn't do it
the goose that laid the golden eggs 
it's not their business; their business is to count those golden eggs after they get laid 
   ____________________________________

Key psychological ideas behind this interface come from Montessori (rich playful environment), Vygotsky (zone of proximal development), Bruner (using multiple mentalities to learn with), the teaching theories of two master teachers (Tim Gallwey and Betty Edwards), and a variety of psychological typing theories about learning and motivational styles derived from the literature and from our 30+ years of experience. One part of the learning that the UI does is to learn what kind of user is trying to use it. The range of human styles and motivations is considerable and taking advantage of them is critical. This is something that every good teacher does, but (amazingly) has not been put in any existing UI.

source:
       http://vpri.org/work/uitald_olpc.htm
   ____________________________________

Andrew bunnie Huang (environment)

Andrew “bunnie” Huang, The hardware hacker : adventures in making and breaking hardware, 2017

p.346
in most situation, environment has more to do with who you are, what you will become, and what diseases you will have than your genes do.
p.346
no matter your genetic make up, most common diseases can be prevented or delayed with proper diet and exercise [and breathing techniques].

   (Andrew Huang, author; The hardware hacker : adventures in making and breaking hardware / Andrew “bunnie” Huang,; San francisco : no starch press, inc., [2017]; subjects:  electronic apparatus and appliances──design and construction.| electronic apparatus and appliances──technological innovations. | computer input-output equipment──design and contruction. | reverse engineering. | electronic industries. | Huang, Andrew.; LCC TK7836. H38 2017 (print), LCC TK7836 (ebook), DDC 621.381092--dc23, [2017], )
   ____________________________________

Bill Moyers, Joseph Campbell

 to change the world, change the metaphor.

Bill Moyers, Joseph Campbell

“If you want to change the world, change the metaphor. Change the story.” 
                                                  —— Joseph Campbell 
53:22
A Conversation with Bill Moyers
https://www.youtube.com/watch?v=MJ8tlnrHVFw
https://www.youtube.com/watch?v=MJ8tlnrHVFw
https://youtu.be/MJ8tlnrHVFw?t=3069
https://youtu.be/MJ8tlnrHVFw?t=3069
Twin Cities PBS
Published on Aug 31, 2017
          ... ... ... 
51:09   I called him at his home in Hawaii and I
51:11   said, “Joe, I didn't ask you about God. 
51:13   Would you come to New York?  Let's do one
51:15   more show”, so he did, but when I was
51:17   leaving, when I was leaving Skywalker
51:21   Ranch for the last time, he walked with
51:23   me out to our car, and he said, “Are you going 
51:26   stay in this?”, meaning you know, I not
51:28   been certain about journalism, not been
51:31   fixed in my trajectory, “Are you going to
51:35   stay in this work?” and I said, “Yes, I think so”
51:39   and he said, “Well, good!”, he said, “If you
51:41   want to change the world, change the
51:45   metaphor. Change the story.” 

https://www.artsmedicineforhopeandhealing.com/poetry-baby-blog/the-power-of-myth-by-joseph-campbell-with-bill-moyers
   ____________________________________


bottom line up front (BLUF)

 
https://archive.computerhistory.org/resources/access/text/2022/07/102792671-05-01-acc.pdf
   ____________________________________

Bottom line up front (BLUF) 


Chiang: Then I began to learn his secret. If he asked you to give a presentation, he had very high expectation. He expected you will tell him the most important thing in your area and this thing is something he didn't know. That's his expectation. You probably have 30 minutes. So you began to in my--as an engineer, I was trained when I give a paper, I began to talk about it, "Here is a problem and this is my experiment. This is my approach."

Fairbairn: Right, yeah.

Chiang: "And this is my data. And this is my interpretation and here is my conclusion."

Fairbairn: Right.

Chiang: If you make a presentation to him in that way, you're in big, big trouble.

<laughter>

Chiang: He totally has no patience for this sort of thing. So, you have to go reverse direction. You tell him, "This is the result." Then he says, "Oh." Then he thinks, "My 30 minutes already paid off." Then he will be very patient to listen to you on the details.

Fairbairn: I see. <laughs>

Chiang: And even very nice to you.

<laughter>

Chiang: And very, very patient. Because his 30 minutes already paid off. He already got what he wanted.

Fairbairn: Right.

Oral History of Shang-Yi Chiang
Interviewed by: Douglas Fairbairn
Recorded March 15, 2022
Mountain View, CA

CHM Reference number: 2022.0040
© 2022 Computer History Museum

CHM Ref: 2022.0040 © 2022 Computer History Museum Page 26 of 49
Oral History of Shang-Yi Chiang

Chiang: But if you start it the other way, he got lost in 5 minutes then the other 25 minutes, you really have a hard time. He will tear you apart. He will blame you. He will criticize all this, and he will tear up your paper and tell you to get out. <laughs>

Fairbairn: So how long did it take you to figure this out?

Chiang: <laughs> Probably about four, five years.

Fairbairn: Four or five years.

<laughter>

Chiang: But I shared with many colleagues.

Fairbairn: Did you then tell other people the secret of how you work with Morris?

Chiang: Yes. Yes, I did.

<laughter>

Oral History of Shang-Yi Chiang
Interviewed by: Douglas Fairbairn
Recorded March 15, 2022
Mountain View, CA

CHM Reference number: 2022.0040
© 2022 Computer History Museum


https://archive.computerhistory.org/resources/access/text/2022/07/102792671-05-01-acc.pdf
   ____________________________________
   ____________________________________

Brad Bird (creative state of mind)

     Brad Bird:  The mistake that a lot of people make 
                is thinking that you can force ideas to come
                You can't, really 
                All that you can do is observed what 
                kind of environment put you in a creative state of mind 
                and to create that environment 


   source:  Ratatouille (2007 film, Disney PiXAR) 
            2007 DVD release 
   ____________________________________

breath

 James Nestor, Breath : the new science of a lost art, [2020]

p.204
Modern medicine, they said, was amazingly efficient at cutting out and stitching up parts of the body in emergencies, but sadly deficient at treating milder, chronic systemic maladies -- the asthma, headaches, stress, and autoimmune issues that most of the modern population contends with. 

p.205
   These doctors explained, in so many words and in so many ways, that a middle-aged man complaining of work stress, irritable bowels, depression, and an occasional tingling in his fingers wasn't going to get the same attention as a patient with kidney failure. He'd be prescribed a blood pressure medication and an anti depressant and sent on his way.  The role of the modern doctor was to put out fires, not blow away smoke. 
   Nobody was happy with this arrangement: doctors were frustrated that they had neither the time nor the support to prevent and treat milder chronic problems, while patients were learning that their cases weren't dire enough for the attention they sought.
   this is one of the reasons I believe so many people, and so many medical researchers, have come to breathing.
   Like all Eastern medicines, breathing techniques are best suited to serve as preventative maintenance, a way to retain balance in the body so that milder problems don't blossom into more serious health issues.  Should we lose that balance from time to time, breathing can often bring it back.
   “More than sixty years of research on living systems has convinced me that our body is much more nearly perfect than the endless list of ailments suggests,” wrote Nobel laureate Albert Szent-Gyorgyi.  “Its short coming are due less to its in born imperfections than to our abusing it.”
   Szent-Gyorgyi was talking about sicknesses of our own making, or, as anthropologist Robert Corruccini has called them, “diseases of civilization.”  Nine out of ten of the top killers, such as diabetes, heart disease, and stroke are caused by the food we eat, water we drink, houses we live in, and offices we work in.  They are disease humanity created.
   While some of us may be genetically predisposed toward one disease or another, that doesn't mean we're predestined to get these conditions.  Genes can be turned off just as they can be turned on.  What switches them are inputs in the environment.  Improving diet and exercise and removing toxins and stressors from the home and workplace have a profound and lasting effect on the prevention and treatment of the majority of modern, chronic diseases.

p.206
Breathing is a missing pillar of health.
  “If I had to limit my advice to healthier living to just one tip, it would be simply to learn how to breathe better,” wrote Andrew Weil, the famed doctor.

James Nestor, Breath : the new science of a lost art, [2020]
   ____________________________________

Thich Nhat Hanh, The miracle of mindfulness : an introduction to the practice of meditation., translated by Mobi Ho, [1975, 1976]

p.16
  In a buddhist monastery, everyone learns to use breath as a tool to stop mental dispersion and to build up concentration power.  Concentration power is the strength which comes from practicing mindfulness.  It is the concentration which can help one obtain the Great awakening.  When a worker takes hold of his own breath, he has already become awakened.  In order to maintain mindfulness throughout a long period, we must continue to watch our breath. 
‘’•─“”

pp.22─23
  Suppose there is a towering wall from the top of which one can see vast distances ── but there is no apparent means to climb it, only a thin piece of thread hanging over the top and coming down both sides.  A clever person will tie a thicker string onto one end of the thread, walk over to the other side of the wall, then pull on the thread bringing the string to the other side.  Then he [or she or it or they] will tie the end of the string to a strong rope and pull the rope over.  When the rope has reached the bottom of one side and is secured on the other side, the wall can be easily scaled. 
  Our breath is such a fragile piece of thread.  But once we know how to use it, it can become a wondrous tool to help us surmount situations which would otherwise seem hopeless.   

  (The miracle of mindfulness./ Thích Nhāt Hanh., translation of Phép la cua su tinh thuc., isbn 978-0-8070-1239-0 (pbk.), 1. meditation (buddhism), 2. buddhist meditations., BQ5618.V5N4813   1987, 294.3'433, 87-42582, 
copyright 1975, 1976 by Thích Nhāt Hanh.
preface and English translation copyright 1975, 1976, 1987 by Mobi Ho
afterword copyright 1976 by James Forest
artwork copyright by Vo-Dinh Mai, beacon press, boston, )
   ____________________________________

change or die (Alan Deutschman)

 
Alan Deutschman, Change or die : the three keys to change at work and in life, 2007

In fact, the odds are nine to one that, when faced with the dire need to change, we won't. 

pp.111-115
p.111
Gore-Tex

In the late 1950s one of Douglas MacGregor's speeches about Theory Y had a strong influence on a man named Wilbert L. Gore, who went by “Bill”.  
Gore was an unlikely revolutionary.  Forty-five years old, he was a somewhat nerdy, quiet, humble man who lived in a small house in Newark, Delaware. 
He had worked for 17 years as a chemical engineer at DuPont, but he was frustrated by the “authoritarian” nature of large companies, which he felt smothered creativity. 
p.112
He realized that the car pool was the only place where people talked to one another freely without regard for the chain of command.  He also observed that when there was a crisis, the company created a task force and threw out the rules.  It was the only time when organizations took risks and made actual breakthroughs.  
Why, he wondered, should you have to wait for a crisis?
Why not just throw out the rules anyway? 
And why not do away with hierarchy and ranks and titles while you're at it?
Why not create an organization where everyone could speak freely with anyone else? 
p.112
   Bill and his wife, Genevieve, who was known as “Vieve”, decided to start their own company.  Many of their friends thought they were foolish. 
They had five children to support, including two who were in college, and Bill was up for a big promotion to DuPont.
But they were motivated by creativity and achievement, not by security. 
On January 1, 1958 ── their 23rd wedding anniversary ── they had dinner at home, and then Vieve said, “well, let's clear up the dishes and get to work.”
And that's how W. L. Gore & Associates was founded. 
They mortgaged their house, withdrew four thousand dollars out of their saving, and raised extra capital from their bridge club.  
Their first few coworkers lived in their basement, accepting room and board instead of salaries.  
It's a classic story of an entrepreneurial venture in every way except one:  Even as W. L. Gore grew tremendously over the years, and even as it created one of the best-known brand names in America ── “Gore-Tex”, a plastic coating that makes clothing waterproof and windproof ── and even as it hired thousands of new workers and earned billions of dollars in annual sales, the company still has no bosses. 

p.113
Bill Gore organized the company as though it were a bunch of car pools or task forces.  He made sure each of the manufacturing plants and office buildings had 150 people at most, which kept things small enough so that everyone could get to know one another, learn what everyone else was working on, and discover who had the skills and knowledge to get something accomplished, whether they were trying to solve a problem or create a new product.
   When I tell people that W. L. Gore has no bosses, they usually don't believe me, because the fact doesn't fit into their frames.  Our thinking is still dominated by Theory X and the idea that large companies can operate only on the military command-and-control model.  When people go to work at Gore, they're told how the place works, but it takes them a long time to grasp the reality. 
   That's what happened to Diane Davidson.  Nothing in her 15 years of experience as a sales executive in the apparel industry prepared her for life in a company where there are no bosses or pyramids.
p.113
   “When I arrived at Gore, I didn't know who did what”, she said. “I wondered how anything got done here. It was driving me crazy.”  Like all new hires, Davidson was brought into the company by a “sponsor” who would serve as her mentor, not as her boss.  The sponor would be there whenever she asked for advice but would never evaluate her performance or make decisions about her pay or give her assignments or orders.  But she simply didn't know how to work without someone telling her what to do. 
   “Who's my boss?” she kept asking.
   “Stop using the B-word”, her sponsor replied. 
   As an experienced executive, Davidson assumed that Gore's talk was typical corporate euphemism rather than actual practice. 

p.114
   “Secretly, there are bosses, right?” she asked.
   There weren't.  She eventually figured it out: “Your team is your boss, because you don't want to let them down. Everyone's your boss, and no one's yr boss.”
   What's more, Davidson saw that people didn't fit into standardized job descriptions.  They had all made different sets of “commitments” to their teams, often combining roles that remained segregated in different fiefdoms at conventional companies, such as sales, marketing, and product design.  It took months for Davidson to get to know all her teammakes and what they did ── and for them to get to know her and offer her responsibilities.  The “associates” at Gore all get to decide for themselves what new commitments they want to take on.  Individuals could design their roles to fit their own interests and strengths.  Everyone is supposed to be like an “amoeba” and take on a unique shape.  
They aren't forced into preconceived boxes or standardized niches.  At the end of the year a committee forms and reviews each associate's contribution and decides on salaries and bonuses, the same way it works at law firms. 

p.114
   Davidson's experience is typical at Gore. “You join a team and you're an idiot”, says John Morgan, who has switched new teams five times throughout a 25-year tenure. “It takes 18 months to build credibility.  Early on, it's really frustrating.  In hindsight, it makes sense.  As a sponsor, I tell new hires, ‘Your job for the first six months is to get to know the team,’ but they have trouble believing it.”
   Gore is the only major American company that has put Theory Y into full effect, and its results have been extraordinary.  
pp.114-115
When Fortune publishes its ranking of the “best places to work in America”, Gore is always at the top of the list or very close to it. 

“”─“”‘’•─“”
pp.210-211
The “stages” model is very helpful and has been highly influential among professionals in the field of psychology and health.  As set forth in Changing for Good, the 1994 book by Drs. James O. Prochaska, John C. Norcross, and Carlo C. DiClemente, it proposes a “trans-theoretical” approach ── that is, it looks to  all the major schools of psychotherapy for techniques and finds seven that are particularly effective, including “helping relationships” and “emotional arousal”.  Then it describes the best times to apply each of these techniques during the “six stages of change”, from “precontemplation” (a hopeful euphemism for the time when people don't believe that they can change) to “termination” (when the change has become complete and permanent).
   The “stages” model has created a clear framework for understanding change that's proven easy to grasp and remember.  It has also helped spread many of the most useful insights of psychology to countless people and done incalculable good. I have one very important gripe with it, though.  Change or Die is focused on the predicament of those “pre-contemplators”, whom the stages authors identify as people who are demoralized or who are shielding themselves through psychological self-defense mechanisms such as denial, projection, and rationalization.  But it's hard to figure out why the first strategy that the stages authors recommend is “consciousness-raising”. 
They write: “The first step in fostering intentional change is to become conscious of the self-defeating defenses that get in our way. Knowledge is power. Freud was the first to recognize that to overcome our compulsions we must begin by analyzing our resistance to change. We must acknowledge our defenses before we can defeat or circumvent them.”
   I disgree strongly with this prescription.  It rarely does any good to tell someone, “Dude, you're in denial”.  The facts won't set them free.  Knowledge isn't power when the facts are too much to bear.  Then knowledge is anxiety.  “Pre-contemplators” don't need someone to tell them the truth. 
They can't handle the truth.
That's why they're in denial. 
Or, as Dr. Jennifer Melfi, the fictional psychiatrist on television's The Sopranos, says about her clients:  “They lie to me, they lie to themselves.”
   The point of Change or Die is to show how people can change when the facts and fear haven't motivated them.  The real key is to give people hope, not facts.   
“”─“”‘’•─“”

Alan Deutschman, Change or die : the three keys to change at work and in life, 2007
<------------------------------------------------------------------------>
   ____________________________________
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      ──From a Declaration of Principles jointly adopted by a Committee of the American Bar Association and a Committee of Publishers and Associations
     (Ackoff's best : his classic writings on management, Russell L. Ackoff., © 1999, hardcover, John Wiley & Sons, Inc., p.139)

   “This [copy & paste reference note] is designed to provide accurate and authoritative information in regard to the subject matter covered. It is [archive] with the understanding that the [researcher, investigator] is not engaged in rendering professional services. If professional advice or other expert assistance is required, the services of a competent professional person should be sought.”
      ──From a Declaration of Principles jointly adopted by a Committee of the American Bar Association and a Committee of Publishers and Associations
--
No part of this publication may be reproduced, stored in, or introduced into a retrieval system, or transmitted, in any form or by any means (electronic, mechanical, photocopying, recording, or otherwise), without the prior permission of the publisher.  

The W. Edwards Deming Institute.  All rights reserved.  Except as permitted under the United States copyright act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the prior written permission of the publisher. 

NOTICE: In accordance with Title 17 U.S.C., section 107, some material is provided without permission from the copyright owner, only for purposes of criticism, comment, scholarship and research under the "fair use" provisions of federal copyright laws. These materials may not be distributed further, except for "fair use," without permission of the copyright owner. For more information go to: http://www.law.cornell.edu/uscode/17/107.shtml

notice:  Do not purchase this book with the hopes of curing cancer or any other chronic disease
   We offer it for informative purposes to help cope with health situations and do not claim this book furnishes information as to an effective treatment or cure of the disease discussed ─ according to currently accepted medical opinion.  
   Although it is your right to adopt your own dietary and treating pattern, never the less suggestions offered in this book should not be applied to a specific individual except by his or her doctor who would be familiar with individual requirements and any possible complication.  Never attempt a lengthy fast without competent professional supervision. 


































































change the metaphor

 to change the world, change the metaphor.

Bill Moyers, Joseph Campbell

“If you want to change the world, change the metaphor. Change the story.” 
                                                  —— Joseph Campbell 
53:22
A Conversation with Bill Moyers
https://www.youtube.com/watch?v=MJ8tlnrHVFw
https://www.youtube.com/watch?v=MJ8tlnrHVFw
https://youtu.be/MJ8tlnrHVFw?t=3069
https://youtu.be/MJ8tlnrHVFw?t=3069
Twin Cities PBS
Published on Aug 31, 2017
          ... ... ... 
51:09   I called him at his home in Hawaii and I
51:11   said, “Joe, I didn't ask you about God. 
51:13   Would you come to New York?  Let's do one
51:15   more show”, so he did, but when I was
51:17   leaving, when I was leaving Skywalker
51:21   Ranch for the last time, he walked with
51:23   me out to our car, and he said, “Are you going 
51:26   stay in this?”, meaning you know, I not
51:28   been certain about journalism, not been
51:31   fixed in my trajectory, “Are you going to
51:35   stay in this work?” and I said, “Yes, I think so”
51:39   and he said, “Well, good!”, he said, “If you
51:41   want to change the world, change the
51:45   metaphor. Change the story.” 

https://www.artsmedicineforhopeandhealing.com/poetry-baby-blog/the-power-of-myth-by-joseph-campbell-with-bill-moyers
   ____________________________________

Matthew Kelly, Rediscover catholictism, [2010] 

Rediscover catholictism: a spiritual guide to living with passion & purpose, 2010

pp.130─131
To whom does the future belong?  What will our society be like 20, 50, or 100 years from today?
   The most powerful and influential position in any society is that of the story teller.  Story tellers are not just the mythical cultural icon who dress up on Thursday afternoons and read stories to your children in local libraries and bookstores.  Musicians are story tellers.  Teachers, preachers, nurses, lawyers, priests, scientists, salespeople, artists, mothers, fathers, poets, philosophers, brothers, sisters, babysitters, grandparents ... we are all storytellers. 
   The future belongs to the storytellers and it belongs to us.  What will it be like?  Well, that depends very much on the stories we tell, the stories we listen to, and the stories we live. 
   Stories have a remarkable ability to cut through the clutter and confusion and bring clarity to our hearts and minds.  Stories remind us of our hopes, values, and dreams.  They sneak beyond the barriers of our prejudices to soften our hearts to receive the truth.  Great periods in  history emerge when great stories are told and lived.  Stories are history that form the future; they are prophecies set in the past. 
   Never underestimate the importance of stories.  They play a crucial role in the life of a person and in the life of a society.  They are as essential as the air we breathe and the water we drink.  Stories captivate our imaginations, enchant our minds, and empower our spirits.  They introduce us to whom we are and who are capable of beings.  Stories change our lives. 
   If you wish to poison a nation, poison the stories that nation listens to.  If you wish to win people over to your team or to your point of view, do not go to war or argue with them ── tell them a story. 
   All great leaders understand the persuasive and inspirational power of stories.  When did you last hear a great speech that didn't contain a story?
   A story can do anything:  win a war, lose a war, heal the sick, encourage the discouraged, comfort the oppressed, inspire a revolution, transform an enemy into a friend, elevate the consciousness of the people, build empires, inspire love, even reshape the spiritual temperament of a whole age. 
   65 per cent of the Gospels are stories, or parables.  100 per cent of the Gospels is the story of Jesus Christ ── and it is the most influenctial story over told.
   The future belongs to the story tellers, and we are the story tellers.  What type of stories are we telling?  Because I can promise you with absolute cert

change your environment

 [change your environment, if possible] [work vacation]
Lindsay spent his first three weeks on the project on vacation at his cottage in Canada, writing a six-page narrative that envisioned how outside developers might program their own voice-enabled apps that could run on the device.

Brad Stone, Amazon unbound: Jeff Bezos and the invention of a global empire, 2021

p.26
   One early recruit, Al Lindsay, 
Al Lindsay, who in a previous job had written some of the original code for telco US West's voice-activated directory assistance.  Lindsay spent his first three weeks on the project on vacation at his cottage in Canada, writing a six-page narrative that envisioned how outside developers might program their own voice-enabled apps that could run on the device.

Brad Stone, Amazon unbound: Jeff Bezos and the invention of a global empire, 2021

[[ create a thing with the developers in mind; basically, if you are the developer, then you can create, develop, engineer, iterate, work on  your ideal work environment (this would be the platform that you would used to work on other project and program); for example, the scientists and engineers at Xerox PARC wanted an ideal environment to write, to  compose, their papers; so they developed the hardware aspect of the  personal computer (workstation), the operating system for this hardware, the graphic user interface for it, a word processing application, and a laser printer to print the document on paper; we are using computers to design, document and build other computing devices; what did people do before there was computer?  pencil, paper, slide ruler, the drawing board; what did people do before pencil, paper, slide ruler and the drawing board? ]]
   ____________________________________
Amazon Echo (Alexa)
  en.wikipedia.org 
  https://en.wikipedia.org/wiki/Amazon_Echo
  http://www.bloomberg.com/features/2016-amazon-echo/
  https://www.businessinsider.com/amazon-echo-and-alexa-history-from-speaker-to-smart-home-hub-2017-5

put the text selection from Amazon Unbound on Amazon Echo here 
(done - Thur 27 Jan 2022)

Brad Stone, Amazon unbound: Jeff Bezos and the invention of a global empire, 2021

 • The math suggested they would need to roughly double the scale of their data collection efforts to achieve each successive 3 percent [ 3% ] increase in Alexa's accuracy., p.37, Brad Stone, Amazon unbound: Jeff Bezos and the invention of a global empire, 2021.  

p.23
   The initiative was originally designated inside Lab126 as Project D.  It would come to be known as the Amazon Echo, and by the name of its virtual assistant, Alexa. 

p.24, p.45
Project D, also known as ‘Amazon Alexa’, later named ‘Amazon Echo’ 
 January 4, 2011, first email from Bezos on Project D, p.24
November 6, 2014, product launch, p.45

([
  within a four year time horizon Amazon developed a voice-enable user interface, inside a real─world working product, 
   ─ development far─field speech recognition
   ─ refine speech communication (speak and sound like natural voice)
   ─ backoffice technical development    
   ─ developed the plan to gather enough data for the far─field speech recognition
   ─ the heavy lifting of the speech recognition and other sensory data processing happen at the data center 
   ─ need internetwork [Internet or VPN] connection with the data center
   ─ (( I would be interested to know, if you were to connect an Amazon Echo inside a corporate network, configure the device with a proxy server to communicate to the Amazon server; who what else does the Echo need to connect to work properly; how would a corporate firewall react to this new traffic. ))
      •─  piggyback traffic, what is piggyback traffic; piggy back traffic is kind of like a trojan horse; because everyone get email, one kind of fishing email is  sending a deceptive email and getting the target to click on the link to activate a payload; so how do you hide your communication inside other routine communication;  
   ─ port number for Amazon Echo (Alexa) 
   ─ for example, port number for e─mail is 25, or, is it 24 

 • The math suggested they would need to roughly double the scale of their data collection efforts to achieve each successive 3 percent [3%] increase in Alexa's accuracy., p.37, Brad Stone, Amazon unbound: Jeff Bezos and the invention of a global empire, 2021.  

   ])

p.462  Index
Amazon Alexa, 26─38 
  AMPED and, 43─44
  beta testers
  Bezos's sketch for, 
  bug in,
  as Doppler project, 26─38, 40, 42─47
  Evi and, 34─36
  Fire tablet and, 44
  language─specific version of, 60
  launch of, 44─46
  name of, 32
  Skills Kit, 44─46
  social cue recognition in, 34─35
  speech recognition in, 
  voice of, 27─30
  voice service, 47
  see also Amazon Echo  
  far─field speech recognition, 27─28
  
p.24
Greg Hart
([ in 2010, Greg Hart pointed out to Jeff Bezos that speech recognition technology was good at dictation and search; he did this by showing to Jeff, Google's voice search on an Android phone; ])
speech recognition 2010
Google's voice search, Android phone
technology was finally getting good at dictation and search

p.24
   Hart remembered talking to Bezos about speech recognition one day in late 2010 at Seattle's Blue Moon Burgers.  Over lunch, Hart demonstrated his enthusiasm for Google's voice search on his Android phone by saying, “pizza near me”, and then showing Bezos the list of links to nearby pizza joints that popped up on-screen.  “Jeff was a little skeptical about the use of it on phones, because he thought it might be socially awkward”, Hart remembered.  But they discussed how the technology was finally getting good at dictation and search. 

p.24
January 4, 2011
Greg Hart, 
Ian Freed, device vice president,
Steve Kessel
Amazon's HQ, Day 1 North building
 
p.25
voice-activated cloud computer
speaker, microphone, a mute button
Fiona, the Kindle building

p.26
   One early recruit, Al Lindsay, 
Al Lindsay, who in a previous job had written some of the original code for telco US West's voice-activated directory assistance.  Lindsay spent his first three weeks on the project on vacation at his cottage in Canada, writing a six-page narrative that envisioned how outside developers might program their own voice-enabled apps that could run on the device.

p.26
internal recruit, 
John Thimsen, director of engineering

p.26
  To speed up development
Hart and his crew started looking for startups to acquire.

p.27
Yap, a twenty-person startup based in Charlotte, North Carolina, automatically translated human speech such as voicemails into text, without relying on a secret workforce of human transcribers

p.27
though much of Yap's technology would be discarded, its engineers would help develop the technology to convert what customers said into a computer-readable format.

p.27
industry conference in Florence, Italy
Amazon's newfound interest in speech technology

p.27
Jeff Adams, Yap's VP of research
two-decade veteran of the speech industry

pp.27-28
  after the meeting, Adams delicately told Hart and Lindsay that their goals were unrealistic.  Most experts believed that true “far-field speech recognition” ── comprehending speech from up to 32 feet away, often amid crosstalk and background noise ── was beyond the realm of established computer science, since sound bounces off surfaces like walls and ceilings, producing echoes that confuse computers.
“They basically told me, ‘We don't care. Hire more people. Take as long as it takes. Solve the problem,’” recalled Adams. “They were unflappable.”

p.28
Polish startup Ivona generated computer-synthesized speech that resembled a human voice.
  Ivona was founded ìn 2001 by Lukasz Osowski, a computer science student at the Gdansk university of technology.  Osowski had the notion that so-called “text-to-speech”, or TTS, could read digital texts aloud in natural voice and help the visually impaired in Poland appreciate the written word. 
Michael Kaszczuk
he took recording of an actor's voice and selected fragments of words, called diphones, and then blended or “concatenated” them together in different combinations to approximate natural-sounding words and sentences that the actors might never have uttered. 

p.28
While students, they paid a popular Polish actor named Jacek Labijak to record hours of speech to create a database of sounds.  The result was their first product, Spiker, which quickly became the top-selling computer voice in Poland. 
Over the next few years, it was used widely in subways, elevators, and for robocall campaigns. 

p.29
annual Blizzard Challenge, a competition for the most natural computer voice, organized by Carnegie Mellon university. 

p.29
Gdansk R&D center were put in charge of crafting Doppler's voice.

p.29
the team considered lists of characteristics they wanted in a single personality, such as trustworthiness, empathy, and warmth, and determined those traits were more commonly associated with a female voice. 

pp.29-30
Atlanta area-based voice-over studio, GM Voices, the same outfit that had helped turn recording from a voice actress named Susan Bennett into Apple's agent, Siri. 
p.30
To create synthetic personalities, GM Voices gave female voice actors hundreds of hours of text to read, from entire books to random articles, a mind-numbing process that could stretch on for months. 

p.30
voice artist behind Alexa
professional voice-over community:  Boulder-based singer and voice actress Nina Rolle. 
warm timbre of Alexa's voice
Nina Rolle (Boulder-based singer and voice actress)
 
p.32
Bezos also suggested “Alexa”, an homage to the ancient library of Alexandria, regarded as the capital of knowledge. 

p.32
[ seven omnidirectional microphones ] at the top
a cylinder elongated to create separation between the array of seven omnidirectional microphones at the top and the speakers at the bottom, with some 14 hundred holes punctured in the metal tubing to push out air and sound. 

p.34
   In 2012, inspired by Siri's debut, Tunstall-Pedoe pivoted and introduced the Evi app for the Apple and Android app stores.  Users could ask it questions by typing or speaking.  Instead of searching the web for answer like Siri, or returning a set of links, like Google's voice search, Evi evaluated the question and tried to offer an immediate answer.  The app was downloaded over 250,000 times in its first week and almost crashed the company's servers.  

p.34
   Evi employed a programming technique called knowledge graphs, or large databases of ontologies, which connect concepts and categories in related domains.  If, for example, a user asked Evi, “What is the population of Cleveland?”  the software interpreted that question and knew to turn to an accompanying source of demographic data.  Wired described the technique as a “giant treelike structure” of logical connections to useful facts. 
   Putting Evi's knowledge base inside Alexa helped with the kind of informal but culturally common chitchat called phatic speech.  

p.35
   Integrating Evi's technology helped Alexa respond to factual queries, such as requests to name the planets in the solar system, and it gave the impression that  Alexa was smart.  But was it?  Proponents of another method of natural language understanding, called deep learning, believed that Evi's knowledge graphs wouldn't give Alexa the kind of authentic intelligence that would satisfy Bezos's dream of a versatile assistant that could talk to users and answer any question. 

p.35
  In the deep learning method, machines were fed large amounts of data about how people converse and what responses proved satisfying, and then were programmed to train themselves to predict the best answers. 

p.35
The chief proponent of this approach was an Indian-born engineer named Rohit Prasad.  “He was a critical hire”, said engineering director John Thimsen.  “Much of the success of the project is due to the team he assembled and the research they did on far-field speech recognition.”

p.35
BBN Technologies (later acquired by Raytheon)
Cambridge, Massachusetts-based defense contractor 
At BBN, he [Rohit Prasad] worked on one of the first in-car speech recognition systems and automated directory assistance services for telephone companies. 

p.37
For years, Google also collected speech data from a toll-free directory assistance line, 800-GOOG-411.

p.37
Hart, Prasad, and their team created graphs that projected how Alexa would improve as data collection progressed.  The math suggested they would need to roughly double the scale of their data collection efforts to achieve each successive 3 percent increase in Alexa's accuracy. 

 • The math suggested they would need to roughly double the scale of their data collection efforts to achieve each successive 3 percent increase in Alexa's accuracy., p.37, Brad Stone, Amazon unbound: Jeff Bezos and the invention of a global empire, 2021.  

p.37
“How will we even know when this product is good?”
early 2013
Hart, Prasad, and their team created graphs that projected how Alexa would improve as data collection progressed.  The math suggested they would need to roughly double the scale of their data collection efforts to achieve each successive 3 percent [3%] increase in Alexa's accuracy. 

p.38
“First tell me what would be a magical product, then tell me how to get there.”

p.38
Bezos's technical advisor at the time, Dilip Kumar, 

p.38
they would need thousands of more hours of complex, far-field voice commands.

p.38
Bezos apparently factored in the request to increase the number of speech scientists and did the calculation in his head in a few seconds. 
“Let me get this straight. You are telling me that for your big request to make this product successful, instead of it taking forty years, it will only take us twenty?”

p.42
the resulting program, conceived by Rohit Prasad and speech scientist Janet Slifka over a few days in the spring of 2013
p.42
Rohit Prasad and speech scientist Janet Slifka 
spring of 2013

p.42
answer a question that later vexed speech experts ── 
how did Amazon come out of nowhere to leapfrog Google and Apple in the race to build a speech-enabled virtual assistant?

pp.42-43
internally the program was called AMPED
Amazon contracted with an Australian data collection firm, Appen, and went on the road with Alexa, in disguise. 
p.43
Appen rented homes and apartments, initially in Boston, and then Amazon littered several rooms with all kinds of “decoy” devices:  pedestal microphones, Xbox gaming consoles, televisions, and tablets.  There were also some twenty Alexa devices planted around the rooms at different heights, each shrouded in an acoustic fabric that hid them from view but allowed sound to pass through. 
p.43
Appen then contracted with a temp agency, and a stream of contract workers filtered through the properties, eight hours a day, six days a week, reading scripts from an iPad with canned lines and open-ended request
p.43
  The speakers were turned off, so that Alexa didn't make a peep, but the seven microphones on each device captured everything and streamed the audio to Amazon's servers.  Then another army of workers manually reviewed the recordings and annotated the transcripts, classifying queries that might stump a machine, 
p.43
so that next time, Alexa would know.
p.43
  The Boston test showed promise, so Amazon expanded the program, renting more homes and apartments in Seattle and ten other cities over the next six months to capture the voices and speech patterns of thousands more paid volunteers.  It was a mushroom-cloud explosion of data about device placement, acoustic environments, background noise, regional accents, and all the gloriously random ways a human being might phrase a simple request to hear the weather, for example, or play a Justin 

p.44
by 2012
multimillion-dollar cost.

p.44
By 2014, it has increased its store of speech data by a factor of ten thousand and largely closed the gap with rivals like Apple and Google.

p.47
over the next few months, Amazon would roll out the Alexa Skills Kit, which allowed other companies to build voice-enabled apps for the Echo, and Alexa Voice Service, which let the makers of products like lightbulbs and alarm clocks integrate Alexa into their own devices. 

p.47
a smaller, cheaper version of Echo, the hockey puck-sized Echo Dot, 
a portable version with batteries, the Amazon Tap. 
Echo
Echo dot
Amazon Tap (a portable batteries version of Echo) 
─“”‘’•

p.24
January 4, 2011

p.45
November 6, 2014

Brad Stone, Amazon unbound: Jeff Bezos and the invention of a global empire, 2021
   ____________________________________

conditions for transformation (ibm)

 • create the conditions for transformation.
 • management doesn't change culture.
 • Management invites the workforce itself to change the culture.

Louis V. Gerstner, Jr., Who says elephants can't dance? : inside IBM's historic turnaround, 2002

pp.185—186
The pursuit of excellence over time became an obsession with perfection.  It resulted in a stultifying culture and a spider's web of checks, approvals, and validation that slowed decision making to a crawl.  When I arrived at IBM, new mainframes were announced every 4-to-5 years.  Today they are launched, on average, every 18 months (with excellent quality, I might add).  I can understand the joke that was going around IBM in the early 1990s: "Products aren't launched at IBM. They escape."

p.187
Stepping up to the challenge

    Frankly, if I could have chosen not to tackle the IBM culture head-on, I probably wouldn't have.  For one thing, my bias coming in was toward strategy, analysis, and measurement.  I'd already been successful with those, and like anyone, I was inclined to stick with what had worked for me earlier in my career.  Once I found a handful of smart people, I knew we could take a fresh look at the business and make good strategic calls or invest in new businesses or get the cost structure in shape.
    In comparison, changing the attitude and behaviour of hundreds of thousands of people is very, very hard to accomplish.  Business schools don't teach you how to do it.  You can't lead the revolution from the splendid isolation of corporate headquarters.  You can't simply give a couple speeches or write a new credo for the company and declare that the new culture had take hold.  You can't mandate it, can't engineer it.
    What you CAN do is create the conditions for transformation.  You can provide incentives.  You can define the marketplace realities and goals.  But then you have to trust.  In fact, in the end, management doesn't change culture.  Management invites the workforce itself to change the culture.

p.188
    It was counter-intuitive, centered around social cues and emotion rather than reason.
    Tough as that was, we had to suck it up and take on the task of changing the culture, given what was at stake.  I knew it would take at least five years. (In that I underestimated.)  And I knew the leader of the revolution had to be ME——I had to commit to thousands of hours of personal activity to pull off the change.  I would have to be up-front and outspoken about what I was doing.  I needed to get my leadership team to join me.  We all had to talk openly and directly about culture, behaviour, and beliefs——we would not be subtle.

p.77
    ...  The sine qua non [Latin, without which not; an essential condition; indispensable thing; absolute prerequisite] of any successful corporate transformation is public acknowledgment of the existence of a crisis.  If employees do not believe a crisis exists, they will not make the sacrifices that are necessary to change.  Nobody likes change.  Whether you are a senior executive or an entry-level employee, change represents uncertainty and, potentially, pain.
    So there must be a crisis, and it is the job of the CEO to define and communicate that crisis, its magnitude, it severity, and its impact.  Just as important, the CEO must also be able to communicate how to end the crisis——the new strategy, the new company model, the new culture.
    All of this takes enormous commitment from the CEO to communicate, communicate, and communicate some more.  No institutional transformation takes place, I believe, without a multi-year commitment by the CEO to put himself or herself constantly in front of employees and speak in plain, simple, compelling language that drives conviction and action throughout the organizaiton.

    (Gerstner, Louis V., copyright © 2002, HD9696.2.U64 I2545 2002, 004.'068——dc21)
(Who says elephants can't dance? : inside IBM's historic turnaround / Louis V. Gerstner, Jr., 1. international business machines corporation——management, 2. international business machines corporation——history, 3. computer industry——united states——history, 4. electronic office machine industry——united states——history, 5. corporate turnarounds——united states——case studies, )
   ____________________________________
 

create the environment (rickover)

  • create the environment in which the stuff we did was possible. 

Theodore Rockwell., The rickover efffect : how one man made a difference / 1992,  
p.377
   “But you've got a number of former nuclear submarine sailors here”, said Mandil.  “Can't they help keep things on the track? At least they should know what you're talking about.”
   “Sure.  If we lead properly, they'll follow.  But they won't initiate basic changes to the whole system.  You can't expect them to.  That's where I need help from you guys.  You know as well as I do that Rick didn't create all the procedures and systems and hardware by himself.  We did it, and we did it in our own image, to a great extent.  What he did was to create the environment in which the stuff we did was possible.  More than that, he made what we did inevitable.  First, by hiring the kind of people he did, by how he trained them, and by setting standards.  Then what we all created was a natural consequence.  We've got to figure out how to do that here.  Then these guys will do their part.”

   (The rickover efffect : how one man made a difference / Theodore Rockwell.,  1. rickover, hyman george.,  2. nuclear submarines ── united states ── history. 3. admirals ── united states ── biography.,  4. united states.,  navy──biography, V63.R54R63  1992,  359.3'2574'092--dc20,  united states naval institute,  Annapolis, Maryland, 1992 )
   ____________________________________
Theodore Rockwell., The rickover efffect : how one man made a difference / 1992, 
p.120
Once we had established that level of excellence as a pattern and a precedent, it was easier to carry it over to the surface Navy, and then into the civilian power industry, than it ever would have been to start it there.
p.120
   In a similar vein, it would have been almost impossible to get any shipyard up to that level if we had had to do it entirely within the yard.  But the land prototype in Idaho offered an almost monastic ambiance where the extraordinary could be established, away from the peer pressure of the normal shipyard operations, and then transplanted once it had taken root. 

   (The rickover efffect : how one man made a difference / Theodore Rockwell.,  1. rickover, hyman george.,  2. nuclear submarines ── united states ── history., 3. admirals ── united states ── biography.,  4. united states.,  navy──biography, V63.R54R63  1992,  359.3'2574'092--dc20,  united states naval institute,  Annapolis, Maryland, 1992 )
   ____________________________________

creating capabilities (innovator's dilemma)

 Clayton M. Christensen, Innovator's dilemma, 1997, 2000          [ ]

pp.197—200
creating capabilities to cope with change

If a manager determined that an employee was incapable of succeeding at a task, he or she would either find someone else to do the job or carefully train the employee to be able to succeed.  Training often works, because individuals can become skilled at multiple tasks.
    Despite beliefs spawned by popular change-management and reengineering programs, processes are not nearly as flexible or "train-able" as are resources — and values are even less so.  The processes that make an organization good at outsourcing components cannot simultaneously make it good at developing and manufacturing components in-house.  Values that focus an organization's priorities on high-margin products cannot simultaneously focus priorities on low-margin products.  This is why focused organizations perform so much better than unfocused ones: their processes and values are matched carefully with the set of tasks that need to be done.
    For these reasons, managers who determine that an organization's capabilities aren't suited for a new task, are faced with three options through which to create new capabilities.  They can: 

    • Acquire a different organization whose processes and values are close match with the new task

    • Try to change the processes and values of the current organization

    • Separate out an independent organization and develop within it the new processes and values that are required to solve the problem

    ...  [...] ...

    (Innovator's dilemma, by Clayton M. Christensen, copyright © 1997, 2000, 658.4 Christen, pp.197—200)

p.259
    Fourth, the capabilities of most organizations are far more specialized and context-specific than most managers are inclined to believe.  This is because capabilities are forged within value networks.  Hence, organizations have capabilities to take certain new technologies into certain markets.  They have disabilities in taking technology to market in other ways.  Organizations have the capability to tolerate failure along some dimensions, and an incapacity to tolerate other types of failure.  They have the capability to make money when gross margins are at one level, and an inability to make money when margins are at another.  They may have the capability to manufacture profitably at particular ranges of volume and order size, and be unable to make money with different volumes and sizes of customers.  Typically, their product development cycle times and the steepness of the ramp to production that they can negotiate are set in the context of their value network.
    All these capabilities — of organizations and of individuals — are defined and refined by the types of problems tackled in the past, the nature of which has also been shaped by the characteristics of the value networks in which the organizations and individuals have historically competed.  Very often, the new markets enabled by disruptive technologies require very different capabilities along each of these dimensions.
    (Innovator's dilemma, by Clayton M. Christensen, copyright © 1997, 2000, 658.4 Christen, p.259)

    (Innovator's dilemma, by Clayton M. Christensen, copyright © 1997, 2000, 658.4 Christen, )
   ____________________________________

creative tension (Peter Senge)

 Peter Senge on Creative Tension

Peter Senge on Creative Tension
     https://www.youtube.com/watch?v=wz337pj-oLE
     Peter_Senge_on_Creative_Tension.mp3
     it is necessary to create tension in the mind, so individual can rise from bondage of myths and half-truths, so must we create that kind of tension in society that will help men rise [from] the dark depth of ..., 
     so if you look at Dr. King practice as a leader ...
     ([ the vision or the message is Freedom ])
     the context is about race and racial equality
     his core vision is what it means for human being to be free
     inspire by Gandhi, we must dramatize the current reality
     engaging the system, to see how the system was working 
     protest march, marches, demonstration, and whole non-violent changed approach
     to dramatize the current situation
     their job was to make it visible
     the context of the dream, 
     this is not a new idea, 
     without the vision, nothing happen
     without being in touch with current reality, nothing happen
     people who are deeply in touch with reality, brilliant analyst
     they are not visionary, they are analyst
     [Robert] Fritz 
        creative tension
        the energy in the creative process comes from this gap
     ([ the gap between the articulated vision and the truth; truth meaning reality or synthesis/analysis as a way of getting an optic to situation, in  hand, on the ground. ])
        how do you generate this gap
        well, obviously when you start to articulate the vision, you generate that energy, but just as much you start to see more clearly the current reality, 
        there are two fundamental ways to generate creative tension, one is by articulating and getting committed to a vision, the other is getting clearer about 'What IS'
        two sources of creative tension are aspiration and the truth
     this is why the truth, being honest, being able to talk openly, how things really are,  
     creative tension
         the power of vision
         the power of truth
         they are both essential in the larger sense
     and consequently there is greater tension

Creativity (Hennessy, Amabile)

 
Creativity
Beth A. Hennessey1  and  Teresa M. Amabile2  

2010
October 19, 2009

Key words
innovation, intrinsic motivation, divergent thinking

page count: 30 pages

introduction                                             570
review of the literature:          
  creativity as seen from different levels of analysis   572
  definition and measurement                             572
  neurological/biological basis                          573
  affect, cognition, and training                        574
  individual differences/personality                     577
  groups and teams                                       578
  the social psychology of creativity                    581
  social environment organizations                       582
  social environment: schools                            585
  social environment: culture                            587
conclusion: taking a systems perspective                 589


Beth A. Hennessey, Teresa M. Amabile, ’Creativity’, October 19, 2009, 2010

  (Beth A. Hennessey and Teresa M. Amabile, Creativity, October 19, 2009, 2010 )


p.570
Creativity: the generation of products or ideas that are both novel and appropriate


p.571

                Systems approach 
**************************************************
*                culture/society                 *
* ********************************************** *
* *             Social environment             * *
* *  ****************************************  * *
* *  *               Groups                 *  * *
* *  *  **********************************  *  * *
* *  *  *    affect/cognition/training   *  *  * *
* *  *  * ****************************** *  *  * * 
* *  *  * *       neurological         * *  *  * * 
* *  *  * *     ****************       * *  *  * * 
* *  *  * *     *              *       * *  *  * *
* *  *  * *     ****************       * *  *  * * 
* *  *  * *                            * *  *  * *
* *  *  * ****************************** *  *  * * 
* *  *  *                                *  *  * *
* *  *  **********************************  *  * *
* *  *                                      *  * *
* *  ****************************************  * *
* *                                            * *
* ********************************************** *
*                                                *
**************************************************
Figure 1
the increasingly large concentric circles in this simplified schematic represent the major levels at which creativity forces operate. 


p.573
In the contemporary of creative products, be they poems, paintings, scientific theories, or technological breakthroughs, rests largely on a consensual assessment process. 

p.573
In recent years, consensual assessment methodologies have also been extended to far more “messy” real-world classroom and workplace environments, including cross-cultural contexts (e.g., Amabile & Mueller 2008, Lee et al. 2005). 

p.573
Researchers have employed the Torrance Tests for Creative Thinking (TTCT; Torrance 1966/1974) 

p.573
Baer (2008) concluded that creativity is best conceptualized as domain specific and argued that this domain specificity explains why divergent-thinking tests have not met with more success; research by Mumford and colleagues (1998, 2008) also questioned the validity of divergent-thinking tests. 

p.574
Intrinsic motivation: the drive to engage in a task because it is interesting, enjoyable, or positively challenging

Divergent thinking: spontaneous, free-flowing thinking with the goal of generating many different ideas in a short period 

p.575
Kray and colleagues (2006) explored what they termed a “relational processing style” elicited by counterfactual mind-sets.  More specifically, they asked study participants to compare reality to what might have been and in so doing encouraged them to consider relationships and associations among stimuli. They found that, although such mind-sets can be detrimental to novel idea generation, they can improve performance on creative association tasks. Miller (2007) found a significant relation between field independence and creativity on collage-making task. 

p.575
A large body of research has pointed to the importance of conceptual combination  in creative thought. 

pp.575-576
Ward (2001) argued for a “convergent approach” to the study of conceptual combination──incorporating both anecdotal accounts and laboratory investigations of the creative process. 

p.576
Treffinger & Selby (2004) presented a rubric intended to characterize individual differences in problem-solving style involving Orientation to Change, Manner of Processing, and Ways of Deciding.  And Scott et al. (2005) described an elegant experiment designed to compare and contrast an analogical approach to generating combinations (involving feature search and mapping) with a case-based approach (integrating and elaborating on event models). 

p.576
Perhaps Mumford & Antes (2007) best summarized the state of the field when they called for caution to be applied in any attempt to account for creative achievement based on a single model of the kind of knowledge or cognitive processes involved. 

p.579
He pointed out that creatively solvable problems vary considerably in their complexity, requisite knowledge base, and the amounts of divergent and convergent thinking that are needed. This model emphasized the fact that a complete creative problem-solving process entails both considerable convergent and divergent thought in continuing alternation, and it predicted that individuals, teams, and entire organizations with different preferences and abilities, knowledge, and work arrangements would be good matches for some problems and poor matches for others. Brophy (2006) later found empirical support for this model. 

p.579
Convergent thinking: more diciplined thinking, focused on narrowing possibilities to a workable solution

p.579
Paulus & Yang (2000) discovered two important factors that enabled idea sharing in groups to become more productive: (a) the extent to which group members carefully processed the ideas exchanged in the group (attention) and (b) the opportunity for group members to reflect on the ideas after the exchange process (incubation). 

p.579
SIAM model (Search for Ideas in Associative Memory)

p.579
This model assumes that idea generation is a repeated search for ideas in associative memory, which proceeds in two stages (knowledge activation and idea production) is controlled through negative feedback loops and cognitive failures (trials in which no idea is generated). 

p.580
Hargadon & Bechky (2006) 
six professional service firms
identify behaviors leading to “moments of collective creativity”.
They identified four sets of interrelated behavior patterns that moved teams beyond individuals' insights: (a) help seeking, (b) help giving, (c) reflective reframing, and (d) reinforcing. 

p.580
Mannix & Neale (2005) conducted a review of 50 years of research and concluded that the preponderance of evidence yields a pessimistic view: Group diversity creates social divisions, with negative performance consequences.  The authors suggest that more positive effects, such as creativity, can arise from underlying differences such as functional background, education, or personality──but only when group process is managed carefully. 
 
p.587
Both quantitative and qualitative data showed that creative methods developed in United Kingdom were highly effective in encouraging creativity and related constructs, including intrinsic motivation, among Chinese university students. 


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