Hello...
More of my philosophy about common sense reasoning and about artificial intelligence and more..
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 smart, and i say that the way of evolutionary algorithms in artificial intelligence is not the right way since it starts from like
the low level layers and it is by logical analogy like circular
reasoning, since when you start from like the low level layers like in evolutionary algorithms you need a way to construct a more and more
difficult objective function that permit the reward , so it needs more
and more smartness so it is like circular reasoning, so i think that the
much better way is the way of COMET (short for “commonsense
transformers”) that is capable of common sense reasoning, since it is
like an emulation that incorporates smartness of humans, so it doesn't
start from like the low level layers, so read about it below so that to understand my thoughts and
views:
I think i am smart, and i say that in the biologic there is what we call
the "useful" for the biological, so the environment is dependent on
the genetical diversity, so this being useful in the environment is also
the engine that pushes towards better and better quality, so how can
you emulate it in artificial intelligence? so how can you emulate water
or food that is useful for the biological that permit the apparition of
the bigger and bigger brain ? so you are noticing that i am abstracting
below by saying in the following that the wanting the useful depends on
the environment of the biological that contains the useful:
More of my philosophy about general artificial intelligence and
about evolutionary algorithms and more..
I think i am smart, and i say that there the two ways
that permit to construct general artificial intelligence,
there is the evolutionary way with evolutionary algorithms and
there is like the way that i am talking about it below that
is COMET (short for “commonsense transformers”) or the like,
i think the evolutionary way like with PSO or neuroevolution
algorithms or genetic algorithms is the way that has to maintain
"diversity" of the population and it has, and it is the most important
thing in artificial intelligence, to create a kind of function that
plays the role of the objective function that permits to optimise with a "reward", and by logical analogy, it looks like the requirement
to wanting the useful and the wanting of being of higher quality in the
natural evolution process that makes the highly better and complex
objects such as humans and the human brain, so i think that in
artificial intelligence the most difficult part is how to "emulate" this characteristics of the biologic that is genetically equipped with
the wanting the useful and wanting to be of or wanting the higher
quality, so then you will say that it is part of the diversification
process of the evolutionary algorithm, but what i want to explain that
the most difficult problem is how to create those kind of
characteristics that are biological in artificial intelligence, since
the problem is not creating diversity, but it is how to create a kind of diversity that is part of the biologic that permit to be the wanting the
useful and wanting to be of or wanting the higher quality, since i say
that the requirement of such a difficult objective function that permits
the reward is the most difficult part, so i think that abstracting by
saying that the evolutionary algorithms need diversification and the
the kind of natural selection or objective function is not correct
abstraction.
And here is my thoughts about artificial intelligence and evolutionary algorithms in artificial intelligence so that you understand more:
https://groups.google.com/g/alt.culture.morocco/c/joLVchvaCf0
And read my following thoughts of my philosophy about what is smartness:
https://groups.google.com/g/alt.culture.morocco/c/Wzf6AOl41xs
And you can read more about my education and my way of doing here:
Here is more proof of the fact that i have invented many scalable
algorithms and algorithms:
https://groups.google.com/g/comp.programming.threads/c/V9Go8fbF10k
And you can take a look at my photo that i have just put
here in my website(I am 53 years old):
https://sites.google.com/site/scalable68/jackson-network-problem
More of my philosophy about Machine programming and about oneAPI from
Intel company and about artificial intelligence..
I think that COMET (short for “commonsense transformers”) is the future
of artificial intelligence since they are capable of common sense and
common sense reasoning, you can read more about it here:
https://arxiv.org/abs/1906.05317
And read about it in the following article:
"Now, Choi and her collaborators have united these approaches. COMET
(short for “commonsense transformers”) extends GOFAI-style symbolic reasoning with the latest advances in neural language modeling — a kind
of deep learning that aims to imbue computers with a statistical “understanding” of written language. COMET works by reimagining common-sense reasoning as a process of generating plausible (if
imperfect) responses to novel input, rather than making airtight
deductions by consulting a vast encyclopedia-like database."
Read more here:
https://www.quantamagazine.org/common-sense-comes-to-computers-20200430/
And you can look at the benchmark on the following paper of how COMET is
much better than GPT-3:
https://arxiv.org/pdf/2010.05953.pdf
And now i will talk about another interesting subject and it is
about the next revolution in the software industry that is Machine
programming, so i invite you to read carefully the following new article
about it:
https://venturebeat.com/2021/06/18/ai-weekly-the-promise-and-limitations-of-machine-programming-tools/
So then i think that COMET (short for “commonsense transformers”) will
also render Machine programming much more successful since it will
permit much better AI-powered assistants that will be much more
efficient, also i think it will enhance much more productivity and it
will higher much more economic growth.
Also I will say that when you know C and C++ moderately, it will not be
so difficult to program OpenCL(Read about OpenCL here:
https://en.wikipedia.org/wiki/OpenCL) or CUDA, but the important
question is what is the difference between FPGA and GPU ? so i invite
you to read the following interesting paper about GPU vs FPGA
Performance Comparison:
https://www.bertendsp.com/pdf/whitepaper/BWP001_GPU_vs_FPGA_Performance_Comparison_v1.0.pdf
So i think from this paper above that GPU is the good way when you
want performance and you want too cost efficiency.
So i think that the following oneAPI from Intel company that wants with
it to do all the heavy lifting for you, so you can focus on the
algorithm, rather than on writing OpenCL calls, is not a so smart way of
doing, since as i said above that OpenCL and CUDA programming is not so difficult, and as you will notice below that oneAPI from Intel permits
you to program FPGA in a higher level manner, but here again from the
paper above we can notice that GPU is the good way when you want
performance and cost efficiency, then so that to approximate well the efficiency and usefulness of oneAPI from Intel you can still use
efficient and useful libraries.
Here is the new oneAPI from Intel company, read about it:
https://codematters.online/intel-oneapi-faq-part-1-what-is-oneapi/
More of my philosophy about automation and artificial intelligence and productivity and more..
I think that Donald Trump was not thinking correctly, since around 85%
of jobs losses in the manufacturing sector in USA was caused by
automation and not by China or such as were thinking it the people who
elected Donald Trump, and you can look at the following interesting
video that makes you understand that automation also has advantages and
to make you understand how Donald Trump was not right:
https://www.youtube.com/watch?v=D-rd3kW7Bc8
And following are some of the advantages of automation:
1. Automation is the key to the shorter workweek. Automation will allow
the average number of working hours per week to continue to decline,
thereby allowing greater leisure hours and a higher quality life.
2. Automation brings safer working conditions for the worker. Since
there is less direct physical participation by the worker in the
production process, there is less chance of personal injury to the worker.
3. Automated production results in lower prices and better products. It
has been estimated that the cost to machine one unit of product by
conventional general-purpose machine tools requiring human operators may
be 100 times the cost of manufacturing the same unit using automated mass-production techniques. The electronics industry offers many
examples of improvements in manufacturing technology that have
significantly reduced costs while increasing product value (e.g., colour
TV sets, stereo equipment, calculators, and computers).
4. The growth of the automation industry will itself provide employment opportunities. This has been especially true in the computer industry,
as the companies in this industry have grown (IBM, Digital Equipment
Corp., Honeywell, etc.), new jobs have been created.
These new jobs include not only workers directly employed by these
companies, but also computer programmers, systems engineers, and other
needed to use and operate the computers.
5. Automation is the only means of increasing standard of living. Only
through productivity increases brought about by new automated methods of production, it is possible to advance standard of living. Granting wage increases without a commensurate increase in productivity
will results in inflation. To afford a better society, it is a must to
increase productivity.
And this video above is related to my following thoughts:
And read carefully my following thoughts about Nanotechnology and about Exponential Progress:
https://groups.google.com/g/alt.culture.morocco/c/mjE_2AG1TKQ
And here is my thoughts about 3D stacking in CPUs and about Moore’s law:
https://groups.google.com/g/alt.culture.morocco/c/0VJbDNqXgHY
More of my philosophy about how to boost productivity with artificial intelligence and more..
You can boost productivity with artificial intelligence by:
1- More accurate demand forecasting using AI and machine learning
2- Predictive maintenance
3- Hyper-personalized manufacturing
4- Optimizing manufacturing processes
5- Automated material procurement
Read more here about those 5 ways artificial intelligence can boost productivity:
https://www.industryweek.com/technology-and-iiot/article/22025683/5-ways-artificial-intelligence-can-boost-productivity
More of my philosophy about the Canada Government Budget Balance and more..
So i think that Canada has not balanced the budget in the past and is
not balancing the budget and it has been hit badly by
Covis-19, so you can look at the following details of Economic and
Fiscal Projections of Canada that i have just read so that to understand:
https://www.budget.gc.ca/2021/report-rapport/anx1-en.html
So i think that the best way for Canada to solve the deficit's problem
and the debt-to-GDP ratio problem is to efficiently invest in artificial intelligence that could double annual economic growth rates , but
Canada has to invest efficiently in Digital and AI(artificial
intelligence) literacy, so read the following so that to notice it:
"Compelling data reveal a discouraging truth about growth today. There
has been a marked decline in the ability of traditional levers of
production capital investment and labor to propel economic growth."
And it it says the following:
"Accenture research on the impact of AI in 12 developed economies
reveals that AI could double annual economic growth rates in 2035 by
changing the nature of work and creating a new relationship between man
and machine. The impact of AI technologies on business is projected to
increase labor productivity by up to 40 percent and enable people to
make more efficient use of their time."
Read more here so that to notice it:
https://www.accenture.com/ca-en/insight-artificial-intelligence-future-growth-canada
And McKinsey estimates that AI(Artificial intelligence) may deliver an additional economic output of around US$13 trillion by 2030, increasing
global GDP by about 1.2 % annually. This will mainly come from
substitution of labour by automation and increased innovation in
products and services.
Read more here:
https://www.europarl.europa.eu/RegData/etudes/BRIE/2019/637967/EPRS_BRI(2019)637967_EN.pdf
And more of my philosophy about Digital and AI literacy and more..
I think Canada still has a problem, since it has to invest much
more in Digital and AI literacy, so read the following article so that
to understand the great importance of Digital and AI literacy:
"Digital and AI literacy is of utmost importance to help Canadian
businesses scale and compete internationally. Investing in widespread
digital and AI literacy for the entire population will increase domestic
demand for technology and technology jobs. A technologically literate population will create more data, which fuels AI and thus the
data-driven economy as a whole. It is also necessary for workers to be
able to upskill and re-skill in order to remain productive and
competitive in an automated workforce. Canadian businesses that adopt AI technology will save from lower production costs, have increased output,
and be able to invest more. Increased revenue from this domestic demand,
as well as Canada’s global reputation for responsible AI, will help
Canadian businesses scale globally and compete on the international
level. Canada has a promising future in the data-driven economy, and
strategic choices by policymakers are necessary to ensure that Canadians
can benefit from an ethical and thriving AI ecosystem."
Read more here:
Canada's Economic Future with Artificial Intelligence
https://www.kroegerpolicyreview.com/post/canada-s-economic-future-with-artificial-intelligence
And here is my following thoughts about artificial intelligence and evolutionary algorithms in artificial intelligence:
https://groups.google.com/g/alt.culture.morocco/c/joLVchvaCf0
More of my philosophy about the Debt-to-GDP ratio and about Germany and
more...
Germany is well managing its debt-to-GDP ratio, even in the crisis of
Covid-19, since the Debt-to-GDP ratio of Germany is the best among the
G-7 countries, so i invite you to read the following article so that to
notice it:
Germany to Ramp Up Borrowing With 2021 Debt of $286 Billion
https://www.bloomberg.com/news/articles/2021-03-22/germany-to-ramp-up-borrowing-with-2021-new-debt-of-286-billion
And I invite you to read the following interesting article:
China’s debt-reduction campaign is making progress, but at a cost
Read more here:
https://www.atlanticcouncil.org/blogs/new-atlanticist/chinas-debt-reduction-campaign-is-making-progress-but-at-a-cost/
Thank you,
Amine Moulay Ramdane.
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