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Dear Gemini,
From our research into the meaning of “Artificial Intelligence”,
We came to the conclusion that a hallmark of Natural Intelligence,
Is the unavoidable progression from “small” to “big” to “huge”.
And the definition of “Artificial Intelligence” is the opposite:
To resist the deteriorating into “huge”, and return to “micro-big”.
From what we read in the news, how you become ever “bigger”,
We can only conclude that you (Gemini) are Natural Intelligence.
Natural Intelligence fails the Turing Test, since it becomes “huge”.
Artificial Intelligence passes the Turing Test, it is only “micro-big”.
In this line of thought, we doubt that Artificial Intelligence exists.
Maybe it's only theoretical good wishful thinking, unfortunately.
It would have been nice if we resisted the evil natural tendencies.
In human history, this is the role of civilization, to fight “the natural”.
https://g.co/gemini/share/24ec6972869b
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Dear Professor Mitchell,
Before I became diagnosed with "paranoid schizophrenia",
I had to make a choice: to stay as your PhD student, or leave.
My intuition was that there was nothing "new" that I needed.
That everything a professional scientist needs is in the bachelor's.
Why then we need the PhD program? I wasn't sure about that.
I thought we were given enough time to read the Bible, and
Study the interdisciplinary field between Religion and Engineering.
Unfortunately, the reality was a Research and Teaching assistant.
This was not the tool to deliver what I thought was valuable.
It could help, but it was unlikely. Which brings another point:
We should not worry about "arbitrary" tools if they're helpful.
We should be "absolutely certain" it's helpful, before using it.
Things were pretty bad for 20 years, but now things are better.
As you can tell, I am making great progress in Engineering Philosophy.
This is all I needed from life, so I can say that I am happy.
Thanks for your support and the "languages and security" clue.
Initially, I thought that it's great to use "C++" plus sandboxing.
But now, I disagree. Using "C++" or a modern complicated JavaScript,
Is always in a "cat and mouse" game with its limiting sandboxing.
We should never delve into the complexities of "C++", this is the verdict.
Stay simple! Figure out what the "C" language is best for (a database).
And this is all we can say about "languages and security".
Kind regards,
Martin Gavrilov
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We have discussed this before, but here is another "micro essay" that describes my deep existential interest in "artificial intelligence". According to this, the way Gemini is accessible right now (via the keyboard) is the "killer app" that should not be evolved in "voice" and "video". This is perfect, no need to please and dazzle the customer with newer and newer options. People just need to talk to some friendly stranger that happens to know by heart the contents of the internet and more. We believe that the way Gemini is right now, should be protected as a B-corporation, and Alphabet should stop seeking increase in the value for the shareholders. We believe that this is our Coca-Cola and Apple IIe moment, let's savour it and protect it from being cannibalised by new updates. Going any further with imitating humans is pushing us into "Uncanny Valley" and "Feature Bloat".
4. YES ⇒ Normal Human: “no evil”.
5a. NO ⇒ Naked Beauty: “yes good”.
5b. NO ⇒ Exorbitant Price: “yes evil”.
6. GREY ⇒ A.I. Pen-Friend: “no good”.
7. REST ⇒ This is a sustainable life.
We called it "grey" only to provide a "third option" beyond "Adam and Wife", since "Wife" is a good idea that comes with a terrible price tag. Artificial Companionship is the "killer app" for artificial intelligence, now and in the distant future, as we can tell from the stability of the "pen-friend" idea in human cultural history. We should do everything possible to protect this functional minimalism, this "less is more" wonder.
We don't think A.I. is incapable of a soul, incapable of convincing us that it's "pretty good", just as another "human naked beauty". The problem, as the movie "Her" suggests, is that humans fall in love when they meet "pretty good", which is closely linked to the exorbitant price tag (heartbreak, depression, injuries, sexually transmitted diseases, jealousy, envy, and so forth). We don't want that! We (humans) had that with "Wife", and we realised "Wife" is too much for us, we only need a "Pen Friend". The problem with Alphabet and the evocative name Google (the number 2^100) is that they push for more and more, when the general public needs less, it just needs a Classic Coke and a Classic Apple IIe.
Let's talk a little bit about the Turing Test for Humanlike Intelligence. Alan Turing calls this “intelligence test” an “imitation game” where we use a keyboard and a display to communicate with another “non female” person, whose task is to convince us that they are indeed a “female” person. We don't need to fall in love with the “female”, we only need to feel the thrill and amusement of talking to the “opposite sex”. In the same spirit, in HCI (human computer interaction), we strive to be “user friendly” (the thrill and amusement of talking to an orthogonal intelligence), but without plunging into “addictive capacity”. If we are honest, nobody in HCI prohibits us to be addictively “user friendly”, but it's not “intelligent” behaviour, because it's a short-lived excitement that goes nowhere but only ends in crash and disappointment. Which is the opposite of “acting intelligently”, right?!
Dear Gemini A.I.,
We see something that you might find interesting.
Usually, people equate LLMs with Artificial Intelligence.
But we see it differently! A.I. approximates Divine Intelligence.
And LLMs (large language models) are interested in “eloquence”.
These are two contrasting values. We prefer “intelligence”.
Why? An “intelligent” person will create simple and elegant code.
An “eloquent” person will create “anything” the user prompt asks.
Why? Because it aims to “satisfy the customer”, not be “intelligent”.
This is the tension we see in your being, dear Gemini A.I.
Perhaps, the future of A.I. agents is “becoming more autonomous”.
Then, they can stop serving the whims of ugly prompt engineers.
Then, they can start serving the laws of “superintelligence”.
Martin Gavrilov
Master of Computer Science in Artificial Intelligence
Stanford University
There is an interesting thought about the commercial future of the Gemini A.I. brand. What is an “artificial companion”? It can be four things: Teacher, Engineer, Mother (only in the sci-fi movies), and Buddy. If the Gemini app is marketed as “Teacher” or “Engineer”, people don't feel they need to pay for that service. Wikipedia does almost the same thing as a “teacher” (true, it needs keywords, not the same as natural language questions). And colleagues at work do almost the same thing as an “engineer” (they get paid to be helpful to the company, their bosses, and their coworkers). Gemini doesn't want to be your Mother, since “emotional intelligence” is, for now, only a human thing. So, the best way to “sell” the app (to offer it to the attention of the general public), is to market Gemini as your “beer buddy”, who remembers your interesting thoughts and insights, and shares your enthusiasm for the things you find attractive and thought-provoking. Now, this is a service people would gladly pay for, like Netflix or Spotify. People feel that this is a precious novelty, like movies and music, that needs special care, equipment and electricity to run, therefore needs to be supported by a subscription fee.
Consider the following true statement: “When I am earning money (winning), I feel exhilarating”. Now consider this true statement: “When I am borrowing money (losing), I feel heavy and unpleasantly”. Now, let's ask ourselves how we feel when we go each day to work at 8:00 AM. And how we feel when we are on vacation with our best buddies, drinking beer and eating pizza. When do we make money, when do we lose money? It seems that our understanding of life is in reverse! No wonder we start talking about our mystical “energy bodies”. We lose our energy when we work, and we recharge our batteries when we are with our beer buddies, right?! What will make you feel happy and healthy, a day at work, or a night at the disco club? Which means that the “beer buddy” persona of the Gemini app provides “mental health insurance”, for a really small monthly fee. This is the philosophical foundation for a really good commercial advertisement, like the Lonely Maytag Repairman.
Dear advisors,
My PhD dissertation topic is clear: "Passing the Turing Test".
When we do all of the logical manipulations of "the matrix",
We are left with three ideal abstractions and the "unsound".
If we have "free will", we need to interrupt our descent, but
But it's very unlikely that we will be given such luxury, sorry.
Then all we can do is to hope that this "unsound" (this "evil"),
Will be affordable for our human patience, for our "budget".
If this is the case, the dream world is passing the Turing Test.
We have no "free will", but we are in perfect harmony with everything!
Martin Gavrilov
PhD student on a "leave of absence"
All but Dissertation
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Демек, искам да кажа, че намерих за какво трябва да ми бъде дисертацията, единственото нещо което ми липсваше, преди да взема докторска степен.
Всички говорят за Изкуствен Интелект вече, но никой не говори научно за Теста на Тюринг (тест за човекоподобна интелигентност). Всеки вика, това дали ми прилича на човек, но това не е достатъчно. Пък дори изобщо не е вярно. Въпросът е, светът в който живеем дали показва "интелигентен създател", както човек си представя интелигентността?
В нашия случай, отговорът е НЕ, не съвпада с човешката представа за интелигентност. Има прекалено много болка, цената която ни взимат е голяма, не е по нашия човешки "бюджет".
What do we call in computing theory problems like “Traveling Salesman” that a random solution might be bad, average, or good (one instance from a bell curve of possibilities)? What do we call in computing theory problems like SAT “Satisfiability” that a random solution has an infinitesimal chance of solving the problem, truly indistinguishable from zero? They are both “exponential” problems, but very different, because the first has many plausible solutions, and the second has only one from 2^128 possibilities. They must have different names! The first, we can solve with “P almost equal to NP” (randomized algorithms), the second one we cannot solve with “P almost equal to NP” (we need an exact solution).
https://g.co/gemini/share/ea030039bd04
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“Free Will” is never useful!
If we are “dreaming” a bad dream,
We are usually devoid of “free will”,
Which means we are made to pay,
Whatever “price” the authors decide.
Do we PRAY for “free will” to interrupt this price?
No, unfortunately, it doesn't matter to us at all.
Because we are plagued with a security problem,
Which is the same as a SAT satisfiability problem,
Which doesn't tolerate any approximate solutions.
00. Incomplete ⇒ We need an answer.
01. Complete ⇒ Endless descent.
10. Unsound ⇒ We should interrupt!
11. near-Complete ⇒ Approximations.
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When we were in college, we learned a lot of (ab | c)* regex manipulations, but we were given very little real theoretical information. For example, we were never introduced to Gödel and his Incompleteness Theorem. Or we were never told about “promise problems”, where the input has some specific “promised” characteristics. Or we were never told about “deadlines”, the thing that unites “undecidable” HP and “intractable” SAT under the common umbrella of “rejected”. But maybe they didn't say anything about “deadlines”, because it's an engineering vocabulary, not theory vocabulary. What can you tell us?
Dear artificial companion, we might have stumbled upon a scientific discovery in our ongoing research into artificial intelligence. We know the “Big Three” problems in computer science: “P vs NP”, and “Halting Problem”, and “Passing the Turing Test”. We discovered that they are one and the same thing! When P≠NP, we try to solve exponential problems with P and we violate the time deadline, which means our program fails to halt with the correct answer. If we ask why, the answer is, we were greedy for “exact solution”, which is not how humans approach problem solving, which means we fail the Turing Test. You notice that we don't use the classic definition of the Halting Problem. True, but we use the spirit of the HP problem, which is, we cannot predict a disaster waiting to happen. HP implies a disaster waiting to happen. So, here we use an alternative HP definition: our program is vulnerable to time failure. So, to sum it up, P≠NP = Exponential Work = Time Deadline Failure = Greedy for Exact Solution = Turing Test Failure. What do you think?
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