Hello,


More of my philosophy about Aleksandr Dugin and about AI and knowledge
graphs and about Liberty and about patent and copyright protection and
about my new poem of Love in french and about diabetes about the essence
of my new model of what is human consciousness and about more of my
thoughts..

I am a white arab from Morocco, and i think i am smart since i have also invented many scalable algorithms and algorithms..


So i think i am a new philosopher , and you can read my new ideas of my philosophies below , but i have just looked at the following video
of the Russian philosopher Aleksandr Dugin that i think is still alive
and that i think has also inspired president Putin , so here is the
video of him and you can look at his other videos on youtube:

Alexandre Douguine : « Le libéralisme occidental est peut-être encore
pire que l'URSS »

https://www.youtube.com/watch?v=VxRxx9b6-nY


So i think i am too a new philosopher and i am not in accordance with
the Russian philosopher Aleksandr Dugin , so i think that he is by
logical analogy talking about Liberty like Antony Blinken that i am
talking about just below , since when Antony Blinken speaks about
Liberty , i think he is fearing that the state be oppressive on the
people as i am explaining it below , so the Russian philosopher
Aleksandr Dugin above is too fearing Liberty of Liberalism , but i think
you have to be smart , since he is not too much fearing economic
Liberalism , but he is fearing the morality of Liberalism , i mean he is
saying that Liberalism gives too much Liberty to the individuals , so
then i think that he is fearing this too much Liberty of Liberalism ,
but i think that the Russian philosopher Aleksandr Dugin is making a
mistake , since western countries are not homogeneous , since i think
that the kind of Liberty of Liberalism is not the same across western
countries , since we can say that the freedom of Liberalism is more
moralized in this or that western Liberal country , so for example i
think that Liberty in Liberalism of Canada is more moralized , so it is
why i am not in accordance with the Russian Philosopher Aleksandr Dugin
, since he is speaking about Liberalism of western countries like it is homogenous Liberalism in western countries , so i think it is an
important mistake that is making the Russian Philosopher Aleksandr Dugin
, so it is why i say that we have not to be as pessimistic as the
Russian philosopher Aleksandr Dugin , and i think you have not to be pessimistic since you have to read my new ideas of my philosophies in my
below previous thoughts so that to understand my views.


I invite you to read carefully the following new article from InfoWorld
that shows how help for generative AI is on the way by using for example knowledge graph and such:

https://www.infoworld.com/article/3712266/help-for-generative-ai-is-on-the-way.html


But i think that the above article is not speaking about the limitations
of this way of doing , so here is my thoughts below in the form of my discussion with ChatGPT so that you understand the limitations of it:


Here is my first question to ChatGPT:

But you are saying the following: Knowledge graphs provide a structured representation of information, enabling AI systems to cross-reference
and verify facts more accurately , but i mean that AI systems such as
LLMs are still limited by there limitation to verify facts with there
smartness , since there smartness is limited by the training data , so
it is like circular.


And here is what has answered me ChatGPT:

"You're correct in highlighting the circularity inherent in relying
solely on LLMs, especially when it comes to fact-checking and
verification. While knowledge graphs can provide structured information
for verification, if an LLM's understanding is inherently limited by its training data, it may not effectively utilize the structured information provided by the knowledge graph to verify facts accurately.

This limitation underscores the importance of a holistic approach to
building AI systems. While LLMs have demonstrated impressive
capabilities in natural language understanding and generation, they
should be complemented with other techniques, such as knowledge graphs,
expert systems, or external databases, to verify facts and provide
reliable information to users.

Furthermore, efforts to mitigate biases and limitations in LLMs'
training data, as well as ongoing research in natural language
processing and AI, are essential to improving the accuracy and
reliability of AI systems in fact-checking and verification tasks.

In summary, while knowledge graphs can enhance the structured
representation of information for fact-checking, addressing the
limitations of LLMs' training data and inherent biases is crucial for effectively utilizing this information and improving the reliability of
AI systems."

And here is my second question to ChatGPT:

So i think you are understanding now what i want to mean , and it is
that fact checking and verification on knowledge graphs so that to
increase accuracy , is limited by the smartness of the LLMs that is
limited by the training data that is limited by the lack of context and
the lack quality etc.


And here is what has just answered me ChatGPT:

"Yes, I understand your point now. You're highlighting a critical aspect
of the limitations of fact-checking and verification tasks, especially
when utilizing knowledge graphs with large language models (LLMs) like GPT.

Indeed, the accuracy of fact-checking and verification performed by LLMs
is inherently limited by several factors:

1- Training Data: LLMs are trained on vast amounts of text data, but
this data may contain biases, inaccuracies, or lack contextual nuances.
As a result, the model's understanding of language and ability to verify
facts may be limited by the quality and breadth of the training data.

2- Contextual Understanding: LLMs may struggle with understanding
context and nuance in language, which is crucial for accurate
fact-checking and verification. Without a deep understanding of the
context surrounding a statement or claim, LLMs may misinterpret
information or provide inaccurate assessments.

3- Quality of Information: Knowledge graphs provide structured
information, but the quality and reliability of the data within the
knowledge graph can vary. If the knowledge graph contains inaccuracies
or outdated information, LLMs may propagate these inaccuracies during fact-checking and verification tasks.

4- Scope of Knowledge: LLMs have limitations in their knowledge base, as
they can only generate responses based on the information present in
their training data. If a fact or claim falls outside the scope of the
model's training data, it may struggle to provide accurate verification.

Given these limitations, it's important to approach fact-checking and verification tasks with caution and to consider the broader context and
sources of information. While knowledge graphs can provide structured
data for verification, addressing the limitations of LLMs' training data
and ensuring the quality and relevance of information are essential
steps in improving the accuracy of fact-checking and verification
processes. Additionally, integrating multiple sources of information and employing human judgment and expertise can further enhance the
reliability of fact-checking efforts."


So i invite you to look carefully at the following short video about
Liberty of Antony Blinken that confronts Russian philosopher Alexander
Dugin at the Nexus Conference:

https://www.youtube.com/watch?v=Yj24FTHuGXA


So i think i am a new philosopher , and you can read my new ideas of my philosophies below , so now i will speak about the above video that
talks about Liberty , so i think that the above video is not so smart ,
since you have to understand Liberty , so Liberty is not defined as only
how also defines it Antony Blinken in the above video , since you can
for example not only hurt the other(s) , but you can also hurt yourself
, so this can constrain Liberty , but of course you have to be smart and understand why Antony Blinken is talking as he is talking about Liberty
in the above video , since i think that for example USA or western
europe fears that if the state starts to limit your liberty since you
can hurt yourself and since you can hurt the other(s) , so it can become "oppressive" , so Antony Blinken "fears" that the state can become
oppressive , so it doesn't mean that Antony Blinken has the 100% truth
about it , so then the view of Antony Blinken becomes understandable ,
also i think that the other thing about Liberty is that we have to know
how to "decentralize" the decisions of the individuals of the society efficiently so that to be efficient , so if the state starts to too much control the people , so it can become expensive too for the state , so
it is why i say that it is a hot topic in philosophy and that you have
to understand that the state has to be smart and wise , but of course i
think that you are now understanding my views as a new philosopher about it.

So we have to be aware of something really important in business ,
and it is that a patent is not as problematic as copyright protection ,
and you can read about it in the following so that to understand it:

So , first , you have to know that a patent protection can take much
more time than a copyright protection , so for example in Canada it can
take 2 to 3 years , and i think it is the same in USA and other
countries , other than that you have to know that copyright protection
for creative works, including software code, is automatic and typically
extends to other countries through international agreements such as the
Berne Convention for the Protection of Literary and Artistic Works ,
read more about it here: https://www.wipo.int/treaties/en/ip/berne/summary_berne.html . Unlike
patents, which require separate filings in each country where protection
is sought, copyright protection is generally recognized internationally
without the need for formal registration or filings in each country. And
you have to know that it is not sufficient and it is not professional
for programming code to put only a written copyright in the readme file
or such , since it is not a proof , so the professional and good way is
to make a copyright protection like the following in the following known company in the following web link , so i invite you to read about it
carefully in the following web link:

https://www.protectmywork.com/index-usa.php?gclid=CjwKCAjwv8qkBhAnEiwAkY-ahlHa6ph2CKEI81KB4uqyYVi5A5_L5UFTsf5jXmygCm3e2RLtJ4j8ShoC92AQAvD_BwE


And here is my new poem of Love in french:

Voici mon nouveau poème d'amour en français:

--

Avec le bel amour

Tu sens bien que tu savoures

Avec le bel amour

Tu sens bien le joli glamour

Avec le bel amour

C'est comme de la bravoure

Car l'amour ce n'est pas comme une basse-cour

Mais l'amour est comme le joli parcours

Et c'est avec le bel amour

Que je commence par te dire un joli bonjour !

--


And here is my new poem of Love that i have just invented:

--

Three Loves

And Two Loves

And One Love

Will all fly like a beautiful Dove

Three Loves

And Two Loves

And One Love

Will all be blessed by our God above

--



"Recently, researchers at the University of Bristol conducted a study to ultimately develop a drug that prevents microvascular diabetic
complications, including diabetic eye and kidney disease. This drug is a
type of inhibitor designed to prevent complications arising from the
damage caused to the protective lining of blood vessels, known as the glycocalyx, in individuals with diabetes."

Read more here on Interesting Engineering:

https://interestingengineering.com/health/new-inhibitor-enzyme-heparanase-diabetes


And scientists at Stanford University bring down the frequency of
diabetes medicine from daily to just once every four months , so i
invite you to read
the following new article so that to notice this new invention:

This new hydrogel could cut daily diabetes shots to just three a year

https://interestingengineering.com/health/hydrogel-daily-diabetes-three-yearly


"Interestingly, Andromeda is approaching our own Milky Way galaxy at a
rate of 186.411 miles per second (300 km/s) and a galactic collision
between the two is now anticipated to occur in about 4.5 billion years.
Based on current calculations there is a 50% chance that in such a
merged galaxy, our solar system will be swept out three times farther
from the galactic core than its current distance. There is also a 12%
chance that the solar system will be ejected from the newly merged
galaxy sometime during the collision.

This is all a moot point so far as life on Earth is concerned. In about
0.5 to 1.5 billion years the sun's luminosity will have risen by 35% to
40%, likely initiating a runaway greenhouse effect on our planet. As a consequence, the surface of the Earth will have already become far too
hot for liquid water to exist, ending all terrestrial life by the time
the two galaxies collide."

Read more here:

https://www.space.com/andromeda-galaxy-november-2023


A team of researchers from Tufts University Center for Cellular
Agriculture has developed a new technique that could dramatically reduce
the cost of lab-grown meat production , advances like this will bring us
much closer to seeing affordable cultivated meat in our local
supermarkets within the next few years , and you can read the following
new interesting article from Interesting Engineering about it:

https://interestingengineering.com/science/cheaper-lab-grown-meat-production


And as you will read in my following thoughts that the key to
biodiversity conservation is reducing meat consumption , so i think that
the above
advance of lab-grown meat production can solve the problem of
biodiversity conservation efficiently. So i invite you to carefully read
my following thoughts about biodiversity conservation so that to understand:

I have not talked about Biodiversity conservation , so i think that we
have not to be pessimistic about the Biodiversity , since as you will
read in the following article that the key to biodiversity conservation
is reducing meat consumption , so from what i have just read in internet
, that we will be able to reduce much more meat consumption so that to
solve the problem, so i invite you to read the following paper and the following article so that you understand:

Here the interesting paper:

"We find a substantial reduction in the global environmental impacts by
2050 if globally 50% of the main animal products (pork, chicken, beef
and milk) are substituted—net reduction of forest and natural land is
almost fully halted and agriculture and land use GHG emissions decline
by 31% in 2050 compared to 2020..."

Read more here:

https://www.nature.com/articles/s41467-023-40899-2


And here is the article:

Biodiversity conservation: The key is reducing meat consumption

https://pubmed.ncbi.nlm.nih.gov/26231772/#:~:text=We%20suggest%20that%20impacts%20can,e.g.%20cattle%2C%20goats%2C%20sheep)


I invite you to read the following new study in the following article that shows that the "deep" work is an important factor in the efficiency at
work, but it has to be an "engaging" work so that to be efficient , and
notice that the analysis of the new study demonstrates that deep and
engaging work "significantly" contributes to organizational outcomes
such as innovation, retention, profitability and broader organizational
goals. So i invite you to read the following new article about it so
that to understand ( and you can translate it from french to english ):

https://programmation.developpez.com/actu/353310/L-amelioration-de-l-experience-du-developpeur-dans-le-domaine-du-developpement-logiciel-peut-avoir-un-impact-positif-sur-la-productivite-la-charge-cognitive-et-les-resultats-organisationnels/


So it is why i say that an engaged employee is one who is dedicated to
the company's mission and enthusiastic about taking steps to fulfill
that mission. An engaged workforce is more productive, offers better
customer service and increases your profits. Also read the following
about how to make the engaged employee:


1. Minimal administrative tasks

Employees are more engaged and productive when they can spend the
majority of their time focusing on things that pertain to their role,
speak to their strengths and ultimately, interest them. Keep employees
engaged by showing them that you appreciate the time they're giving you
and by allowing them to use that time to do what they do best.

2. The necessary resources

As a business owner, it is your job to make sure the company's money is
spent wisely, but it's also your job to make sure your employees have
the tools that they need to do their work and do it well. When employees
feel that they are equipped with the resources they need for their
roles, they're not only going to be happier and appreciative, but also
more efficient.
‍
3. Positive relationships with colleagues

Your employees will be happier and more committed to doing their work
when they get along with one another and can balance their stress and
wellness. Now, they don't have to attend each other's birthday parties
or bring each other coffee, but they should have a positive,
professional relationship. It's up to management to foster that type of
culture by winning the hearts and minds of the people you work with.

And you can read more in the following web page:

https://www.corporatewellnessmagazine.com/article/factors-create-engaged-employees


And here my other thoughts that are related to the above:


So i have just talked about the following mechanisms , and i invite you
to read them again carefully:


So i think i am also a new philosopher , and you can read my new ideas
of my philosophies below , so now i will talk about an important subject
in philosophy , and it is that you have to know how to be philosophy
with humans , i mean you can say to humans to be for example
responsability by studying and by working in a job , but it is not the efficient way of doing , since for example responsability by studying
and by working in a job has a delayed reward , so you have to be
efficient and smart and know that with this delayed reward it is not as efficient , so you have for example to say to a human that he can
specialize in what he does better , and when he specializes in what he
does better , he can find the job more easy or easy to do , so it is a
pleasure that balances with the delayed reward so that it be efficient ,
but there is not only specialization in what we do better , but there is
also the "passion" for a work or a job , so when you are passion for a
work or job , you find pleasure in doing it , so this pleasure also
balances with the delayed reward so that it be efficient , so it is why
i say that the better way is to say to a human that he can specialize in
what he does better and in what he find passion so that it balances with
the delayed reward and so that to increase much more productivity and
quality. And of course you have to know how to align with the mission of
the country and the world.


And here is the other mechanism that you can understand by reading my
following new questions to ChatGPT:


Here is my question to ChatGPT:

So there is a mechanism in that in business you can not ask for too much performance from the workers , since you have to balance so that to not
make it too much unacceptable for the workers.


And ChatGPT has just answered me the following:

"Balancing performance expectations in business is crucial for
maintaining a healthy and productive work environment. Setting
unrealistic or excessively high performance standards can lead to
burnout, stress, and dissatisfaction among employees. On the other hand,
too low expectations may result in complacency and a lack of motivation.

Here are some key considerations for finding the right balance:

1- Realistic Expectations: Ensure that performance expectations are
realistic and achievable. Consider factors such as workload, resources,
and the complexity of tasks. Unrealistic goals can lead to frustration
and demotivation.

2- Communication: Clearly communicate performance expectations to
employees. Make sure they understand their roles, responsibilities, and
the standards by which their performance will be evaluated. Transparency
helps build trust and reduces uncertainty.

3- Feedback and Recognition: Provide regular feedback on performance, highlighting both strengths and areas for improvement. Positive
reinforcement and recognition for a job well done can boost morale and motivation.

4- Individual Differences: Recognize that individuals have different
strengths, skills, and working styles. Tailor performance expectations
to align with each employee's capabilities while encouraging personal
growth.

5- Work-Life Balance: Acknowledge the importance of work-life balance. Demanding excessive hours or setting unrealistic deadlines can
negatively impact employee well-being. Encourage a healthy balance
between work and personal life.

6- Professional Development: Support employees in their professional development. Provide training and resources to help them acquire new
skills and knowledge. This not only benefits the individual but also contributes to the overall performance of the team.

7- Flexibility: Be flexible in your approach to performance management. Consider individual circumstances and be open to adjustments when
necessary. Flexibility can contribute to a positive and adaptive work
culture.

8- Collaboration and Teamwork: Emphasize the importance of collaboration
and teamwork. Foster a culture where employees support each other and
work together towards common goals. Team synergy often leads to better
overall performance.

9- Continuous Improvement: Encourage a culture of continuous
improvement. Set goals that challenge employees to grow and develop, but
ensure that these goals are attainable with effort and dedication.

Remember, finding the right balance requires ongoing assessment and
adjustment. Regularly check in with employees, gather feedback, and be
open to making changes that contribute to a positive and sustainable
work environment."


My second question to ChatGPT is:

And if it makes it burnout, stress, and dissatisfaction among employees
, it can make it unstable , so the workers will start to quit there jobs.


And ChatGPT has just answered me the following:

"Absolutely, you've highlighted a critical point. When the demands on
employees become too high, leading to burnout, stress, and
dissatisfaction, it not only harms individual well-being but can also
have severe consequences for the organization. Here are some of the
potential negative outcomes:

1- High Turnover: Employees experiencing burnout and dissatisfaction are
more likely to leave their jobs in search of better opportunities. High turnover can be costly for a company, both in terms of recruitment and
training expenses and the loss of institutional knowledge.

2- Decreased Productivity: Burned-out and stressed employees are likely
to experience a decline in productivity. The quality of work may suffer,
and tasks that would typically be completed efficiently may take longer.

4- Negative Work Culture: A work environment marked by high stress and dissatisfaction can contribute to a negative company culture. This
negativity can spread among employees, affecting teamwork,
collaboration, and overall morale.

5- Impact on Health and Well-being: Chronic stress and burnout can have
serious health consequences for individuals, leading to physical and
mental health issues. This can result in increased absenteeism and
reduced effectiveness when employees are present.

6- Difficulty Attracting Talent: Companies with a reputation for high
stress and dissatisfaction may find it challenging to attract top
talent. Potential employees may be discouraged from applying, or the organization may struggle to retain new hires.

To avoid these negative outcomes, it's essential for organizations to prioritize employee well-being, maintain a healthy work-life balance,
and foster a positive and supportive work environment. This includes periodically reassessing workload and expectations, providing adequate resources and support, and promoting a culture that values the health
and happiness of its employees.

Leaders should also be attuned to the signs of burnout and stress,
actively seek feedback from employees, and be willing to make
adjustments to policies and practices that contribute to an unhealthy
work environment. Investing in employee well-being is not just a matter
of ethical consideration; it is a strategic imperative for sustaining a high-performing and stable organization over the long term."


And i invite you to read my below previous thoughts:


So now i will talk more about me so that you understand me , so you have
to know that i am a good and honest person and i am a gentleman type of
person , so you have to know that i have met an Angel from God and my
story with the Angel from God is all the truth , so you can read it in
my below thoughts about my new monotheistic religion , so you have to understand that i am a good person that also want to help others , it is
why i have just invented a new model of what is human consciousness that permits you to understand the limitations of artificial intelligence so
that you be apt at knowing the weaknesses of artificial intelligence so
that you be able to compete against artificial intelligence, other than
that i have also just invented my new ideas of my philosophies that you
can read in the below web links , and i have invented many proverbs that
you can read in the below web links , and i have also invented many
other things , so i am this kind of inventor since i also want to help
the others understand and help them to be apt and help them compete
against artificial intelligence , and of course you can read all my
below other views on economy and politics and philosophy etc. , so hope
you are understanding my kind of personality and hope you are
understanding my way of doing.


So i have just corrected a little typo in my below previous thoughts ,
but you have to understand why i have invented quickly my new model of
what is human consciousness , so it is that i wanted to predict if
artificial intelligence will attain artificial general intelligence and
i wanted to show the limitations of artificial intelligence , so i think
my new model of what is human consciousness is smart , since it is
showing how the meaning is constructed with a reification with human
senses , so it permits you to understand correctly what is human
smartness and what is human fluid intelligence , and it permits you to understand how human fluid intelligence discovers patterns with much
less data than artificial intelligence , so i invite you to also
carefully read my below previous thoughts so that to understand my views
on what is human consciousness and what is human smartness and what is
human fluid intelligence and what is the limitations of artificial intelligence:


I think i am highly smart since I have passed two certified IQ tests and
i have scored "above" 115 IQ , and i mean that it is "above" 115 IQ , so
you have to understand more my below previous thoughts about my new
model of what is human consciousness , so you have to understand that
my new model of what is human consciousness says that there is a
"primitive" human consciousness that is a "primitive" self-consciousness
and that is like a controller that controls the human hands etc. , but i
am not talking about it since it is a primitive thing , so it is why my
new model of what is human consciousness is showing that the very
important thing is the consciousness that comes from the meaning that
comes from the reification with the human senses.. , so you have to
understand it correctly by reading my new model of what is human
consciousness in the below web link , so i think that by reading it ,
you will able to understand that artificial intelligence will not attain artificial general intelligence , even if it will become a powerful tool.

So you have to also understand that the quality of data from Generative Adversarial Networks (GANs) or such in artificial intelligence is
probabilistic in nature too , so we cannot say that data generated by
models like Generative Adversarial Networks (GANs) is 100% truth or a
perfect representation of the real-world data distribution , so then you
are understanding from my thoughts that synthetic data from Generative Adversarial Networks (GANs) or such is probabilistic in nature and Large Language Models are probabilistic in nature and Reinforcement learning
is probabilistic in nature , so it is a weakness or limitation of
artificial intelligence. So i invite you to carefully read my below
previous thoughts so that to understand my views on what is
consciousness and what is smartness and about artificial intelligence:


I think i am highly smart since I have passed two certified IQ tests and
i have scored "above" 115 IQ , and i mean that it is "above" 115 IQ , so
from
my below new model of what is human consciousness in the below web link,
i think you can logically infer by discovering a pattern with your fluid intelligence that explains what is human smartness or what is human
fluid intelligence , so here is the pattern that i have just discovered:

So you have to carefully read my below new model of what is human
consciousness so that you understand that it is also like a
"reification" with the meaning that comes from the human senses , so i
am explaining more
in the below web link my new model of what is human consciousness so
that you understand it correctly , so i am also explaining that this reification with the human senses also permits smartness to require much
less data than artificial intelligence , so then i think that the
pattern that i am discovering with my fluid intelligence is that human smartness or human fluid intelligence is like a neural network in the
human brain that also works with the "meaning" that comes from the
reification with human senses , so then this kind of neural network in
the human brain can be more or less powerful and this has as an effect
to make the human brain able to discover patterns with much less data
than artificial intelligence , so i think it is the pattern that
explains what is human smartness or human fluid intelligence , so i
invite you to carefully read my below new model of what human
consciousness so that to understand it correctly and i invite you to
read about the important limitations of artificial intelligence in my
below previous thoughts:


I think i am highly smart since I have passed two certified IQ tests and
i have scored "above" 115 IQ , and i mean that it is "above" 115 IQ , so
i invite you to read my following discussion with ChatGPT so that you understand how i am explaining to ChatGPT that the probabilistic nature
is not only inherent to Large Language Models , but it is also inherent
to Reinforcement learning , so i think it is a limitation of Large
language models such as ChatGPT from OpenAI or such the new Gemini from
Google , so i invite you to carefully read my following discussion with
ChatGPT on this important subject , and of course i invite you to
carefully read the other limitations of artificial intelligence in my
below thoughts:


So here is my first question to ChatGPT:

"So i say that the other limitation of Large language models such as
GPT-4 is that they are probabilistic in nature , so then Large language
models such as GPT-4 are not designed to be highly accurate or
consistent , and it is one of there limitation , so i think that
reinforcement learning can not solve efficiently this problem , since we
can not know for sure when using Reinforcement learning it will be

[continued in next message]

--- SoupGate-Win32 v1.05
* Origin: fsxNet Usenet Gateway (21:1/5)