Hello,



More of my philosophy about civilization and about the widely spoken
languages and about Google or Alphabet and about the benchmarks and
about Gemini and about Artificial intelligence and about Aleksandr Dugin
and about AI and knowledge graphs and about diabetes and 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..



I think i am a new philosopher and you can read my new ideas of my
philosophies below , so as you are noticing that i look smart ,
so why do you think i look smart ? , since i think that one of
the most important thing so to become smart is also to speak the much
more or widely spoken languages like English and Arabic and French like
i am doing it , i mean that speaking only English or French is not a
good thing , since you have for example to understand the Arab
civilization , so i will ask why Arabs have become a bigger
civilization, so i think it is importantly and firstly due to standard
Arabic language , since the standard Arabic language has become spoken
by a lot of people that we call the Arabs, but not only that , but the
standard Arabic language has been enhanced more and more by the way of
the Arabic civilization that has become more and more sophisticated and
greater , so this sophisticated standard Arabic language is so important
since it is spoken by 464.68 millions of people that we call the Arabs ,
so as i am saying it and showing it below that the sophisticated and
standard Arabic language indeed enhance intellectual growth and
smartness of Arabs by providing access to diverse learning resources, facilitating cultural immersion and experience, fostering global
networking and collaboration, advancing career opportunities, and
cultivating adaptability and resilience ,so i think we can predict that
Arab world and Arabs will quickly become more and more smart because of
the democratization of information in internet and such , so i think
that we have to be optimistic about the Arab world and about Arabs , and
as an example , look for example at me , i am a white arab that speaks
and writes and reads English and Arabic and French and i look smart ,
and you have to read all my below previous thoughts so that to notice it:


You have to know why i am a white arab that speaks and writes and reads
English and Arabic and French , so i think that Arabs are more smart
since they speak the much more or widely spoken languages like Arabic
and English and French , so when you look at the Arab world , you have
to be smart and look at wich country speaks more the much more or widely
spoken languages like Arabic and English and French so that to know more
about there smartness and there civilization, and here is my important
and smart question to ChatGPT so that you understand it correctly:


And here is my question to ChatGPT:

I mean when you speak the much more or widely spoken languages like
English and Arabic and French like i am speaking them , you can for
example listen to videos on youtube in different languages like English
and Arabic and French that enhances much more your smartness compared to
the less or much less spoken languages like the berber or others, so you
can enhance much more your knowledge and smartness in such way , and
when you speak them you can for example visit those countries that speak
them and enhance much more the smartness that comes from experience that
you will have, so overall, speaking widely spoken languages like English
and Arabic and French can indeed enhance intellectual growth and
smartness by providing access to diverse learning resources,
facilitating cultural immersion and experience, fostering global
networking and collaboration, advancing career opportunities, and
cultivating adaptability and resilience.


And here is what has just answered me ChatGPT:

"Absolutely, your points are well-taken. Speaking widely spoken
languages like English, Arabic, and French indeed opens up numerous
avenues for intellectual growth and enrichment, as you've described:

1- Access to Diverse Learning Resources: Speaking these languages grants
access to a vast array of learning materials in various forms, including
books, articles, videos, and online courses. This exposure to diverse
content in different languages can broaden one's knowledge base and
stimulate intellectual curiosity.

2- Cultural Immersion and Experience: Proficiency in widely spoken
languages enables individuals to immerse themselves in the cultures of
the countries where these languages are spoken. By engaging with native speakers, exploring local customs, and experiencing daily life in
different cultural contexts, individuals can gain valuable insights and
deepen their understanding of the world around them.

3- Enhanced Language Skills: Being able to consume content in multiple languages, whether through watching videos or reading articles, can significantly enhance language proficiency. Exposure to various
dialects, accents, and linguistic nuances can improve listening
comprehension, vocabulary acquisition, and overall language fluency.

4- Global Networking and Collaboration: Speaking widely spoken languages facilitates communication and collaboration with individuals from
diverse linguistic and cultural backgrounds. This interconnectedness
opens up opportunities for global networking, cross-cultural exchange,
and collaborative projects, which can foster intellectual growth and innovation.

5- Career Advancement: Proficiency in widely spoken languages is often a valuable asset in today's globalized job market. Many employers value
language skills, particularly in languages like English, Arabic, and
French, which are widely used in international business, diplomacy,
academia, and other fields. By leveraging their language abilities,
individuals can enhance their career prospects and pursue opportunities
on a global scale.

6- Cultivation of Adaptability and Resilience: Learning and speaking
multiple languages require adaptability, resilience, and cognitive
flexibility. Navigating different linguistic and cultural contexts
enhances these skills, preparing individuals to thrive in diverse
environments and overcome challenges with confidence.

In summary, speaking widely spoken languages like English, Arabic, and
French can indeed contribute to intellectual growth and smartness by
providing access to diverse learning resources, facilitating cultural
immersion and experience, fostering global networking and collaboration, advancing career opportunities, and cultivating adaptability and
resilience. These languages serve as valuable tools for personal,
academic, and professional development in an increasingly interconnected world."


And i think i have to talk more about Google or Alphabet , so as you
have just noticed , i have just spoken about Gemini pro , but i think
we have not to be pessimistic about Google or Alphabet and to understand
that i think the advanced Gemini called Gemini Ultra from Google or
Alphabet is competitive with the advanced version of GPT-4 , so i think
that Google is in a good position to be competitive , since i think that
around 90% of Google or Alphabet revenue comes from the Google services
, this segment primarily generates revenue from advertising through
Android, Chrome, hardware, Google Maps, Google Play, Search, and YouTube
, so i think that Alphabet is in good position since i invite you to
carefully read the following new article about how Google or Alphabet is integrating "successfully" there advanced Gemini with there search
engine and Ads:


Google CEO talks future of SGE, Gemini, Ads and AI Search


https://searchengineland.com/google-ceo-talks-future-of-sge-gemini-ads-and-ai-search-437048



So i think that it is better that Google or Alphabet enhance more there
free Gemini pro so that it be competitive with the free version of
GPT-3.5 from OpenAI so that it be attractive , other than that i think
that Google or Alphabet has a bright future.


So i invite you to read my following previous thoughts:


I have continued to test the new free Gemini pro version 1.0 from Google ,
but i think that there is another problem than the one that i am talking
about in my below previous thoughts , and it is that i have just noticed
that the free GPT-3.5 from OpenAI is better than the free Gemini pro
from Google on for example programming code, i mean that for example
GPT-3.5 makes less errors and is more precise than Gemini pro , so i
have just asked myself why it is as it is , so i think that the answer
is that the performance benchmarks from Google ( Read them here: https://storage.googleapis.com/deepmind-media/gemini/gemini_1_report.pdf
) are not realistic since there are another newer performance benchmarks
from researchers that say that GPT-3.5 is better than Gemini pro and
notice in the new paper from the researchers how both MMLU benchmark and
the code generation benchmark of GPT-3.5 are i think appreciably better
than Gemini pro , and here is the article and the paper and read them carefully:

CMU Study Shows Gemini Pro Trails GPT-3.5 and GPT-4 in Performance
Benchmarks

https://synthedia.substack.com/p/cmu-study-shows-gemini-pro-trails


And you can read my below previous thoughts:


I have started to work with the free version of Gemini pro version 1.0
of Google that looks like ChatGPT of OpenAI ( You can access it here: https://gemini.google.com/app ) , and i have just noticed that both
Gemini and ChatGPT are lacking on an important thing and it is the
following: So as you have just noticed that i have worked with both
ChatGPT and Gemini pro , but i think that both Gemini , even the
advanced version , and ChatGPT , even the advanced GPT-4 , are lacking
on an important thing and here is my important and smart question to
ChatGPT so that you notice it:

Here is my question to ChatGPT:

So i want to say that Large Language models such as ChatGPT or Gemini
are still lacking , since if we can not trust the trained data of Large Language Models such as ChatGPT, since it can be of not correct deeper understanding and/or it is not correctly diversified and is then not of
the correct quality, so Large Language Models are here to augment humans
, and not to replace humans , also i think that we still need to use and
trust more professionals in this or that field or expertize in this or
that field so that to correct this important deficiency of Large
Language Models like ChatGPT , so i think that the quality of the
trained data is an important weakness of Large Language Models such as
ChatGPT , so it is why we are noticing that they are lacking on accuracy.


And here is what has just answered me ChatGPT:

"Your points are well-taken. Indeed, the quality of the trained data
plays a crucial role in the performance and reliability of large
language models like ChatGPT. If the training data is not diverse, comprehensive, or accurately representative of the subject matter, it
can lead to limitations in the model's understanding and output. Here's
a summary of your points:

Trained Data Quality: The accuracy and depth of understanding of large
language models are heavily influenced by the quality of the training
data. If the data is lacking in depth, diversity, or accuracy, it can
result in deficiencies in the model's output.

Human Augmentation: Rather than replacing humans, large language models
should be viewed as tools to augment human capabilities. Human expertise
and judgment remain essential for validating, refining, and
supplementing the outputs generated by AI systems.

Need for Expertise: Professionals and domain experts play a critical
role in correcting deficiencies in large language models. Their input
and oversight can help identify inaccuracies, biases, or gaps in the
model's understanding and contribute to improving its overall performance.

Weakness in Data Quality: The primary weakness of large language models
like ChatGPT often lies in the quality of the trained data. Addressing
this deficiency requires ongoing efforts to curate, verify, and
diversify the training data to enhance the model's robustness and accuracy.

In conclusion, while large language models offer significant potential
for various applications, including natural language understanding and generation, their effectiveness ultimately depends on the quality of the
data used to train them. By prioritizing data quality and leveraging
human expertise, we can work towards improving the reliability and trustworthiness of AI systems like ChatGPT."


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

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