Will AI reach Human-level Intelligence?

Doing some tasks faster and more accurate than humans do, doesn’t make Technology more Intelligent than Humans. Probably, the fact that Tesla and xAI invest billions in LLM and Computing (acquiring 300K of H100 NVIDIA GPUs) makes to do invasive marketing, and overall this is good for the tech industry.
In the context of uniqueness and complexity of Human Intelligence, I’d agree with Meta’s AI chief Yann LeCun who changed his mind saying AI will never reach human-level Intelligence…
https://arstechnica.com/information-technology/2024/04/elon-musk-ai-will-be-smarter-than-any-human-around-the-end-of-next-year/

Diminishing difference between CPU and GPU

Intel comes up with CPU-Z Granite Rapids with 80 cores and huge size of L3 cache 672MB. It become apparent that in this way chipmakers – NVIDIA’s rivals will try to fuzzy differences between CPU and GPU devices. Apple’s M3 processor comes with 16‐core CPU and embedded 40‐core GPU. It’s still far from about 20K cores in premium GPUs from NVIDIA, and surely not enough for large training, but 80 cores are quite enough to make it good in inference.

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There are still good people who say “Where is the Science in Computer Science?”

It really sounds like someone would say “Where is the Science in Computer Science?” (Oct. 2012)…
Through the decades of CS history, this field has been serving for almost all other fields, branches and areas of research bringing opportunities those can’t be even imagine otherwise. But it should be accepted that CS is not just about computers and calculations, same as astronomy is not about telescope. CS is about computing theory, information theory, instructions, hardware, software, …. Dedicated research and study in CS is vital to keep this field serving for all variety of other fields years to come.

Universities Have a Computer-Science Problem

ChatGPT as a Coder or Will AI replace Programmers?

“If an elderly but distinguished scientist says that something is possible, he is almost certainly right; but if he says that it is impossible, he is very probably wrong.”

A couple days ago during tea time with my students of the joint program ADA University and George Washington University (Computer Science and Data Analytics) one of my students answering the question “what is your top concern about the future?” said “I worry that AI will take my job as a programmer”. I responded saying that probably it’ll not take place earlier than several decades.

Today I decided to check capabilities of the new arrival to AI landscape ChatGPT. Along with ability to be engaged in realistic conversations, chatbot can also generate computer programming codes. Today I’ve submitted the following query to the ChatGPT chatbot launched by OpenAI in November 2022 and built on top of the new version of well known large language model GPT 3.5.
My query was “generate code for web crawler with multithreading support that implements polymorphism in java”

As a response the model generated 50 lines of code in just a couple of seconds. I can’t say the code is ideal and ready to run, but it’s ideal as a template if you consider the time it took to generate, also it can be improved with further interactions with the model. The output is really amazing: it implemented the method for crawling, it implemented concurrency and it wrote the code in a truly object-oriented manner. After changing the last word of the query to “Python”, it generated the same task in Python language.

As a response to my another query “generate data model for HR system using ORM in java”, ChatGPT came with data model consisting of three classes:  “Employee”, “Department” and “Holiday” supporting it with quite detailed description of relationship types between table (one-to-many, many-to-one) and primary keys.
I continued my interaction with “Having just three classes for full HR system is too simple. Can you offer data model for real HR system for the large business entity?”. ChatGPT responded with a very kind reply “Certainly! Here is a more complete data model for an HR system for a large business entity, using Object-Relational Mapping (ORM) in Java:” and according to the model’s point of view, it’s enough for HR system of large business entity to extend data model with several fields in each class and add one new class “PerformanceReview”.

The query “Please, generate data model for HR system using ORM in Go” results with the same data model, but in Go programming language. That means that ChatGPT is familiar with the syntax of all popular programming languages. This also proves another important truth: one can doubt in the ability of model to generate code, assuming that it just brings codes from code repositories (like Github, SourceForge, Codebase, Bitbucket, StackOverflow, etc.), but the last query disproves that assumption. ChatGPT really generates code, learning from billions of code snippets and projects it has access to.
Of course, it’s far away from being mature enough to generate a real software product, or data model for the real system, but certainly, it’s in the right direction and will improve over time.

How it will affect education?

What does it mean for educators and students? Some students may think that they will be able to utilize ChatGPT and other AI systems to delegate them their programming assignments. But, in reality it is not as easy as it can sound. To make the model to produce exactly what is required, one will need to write very accurate and precise requirements that include enough details for the model to solve the task. As you know, good requirements and specifications are up to 70-80% of the success. If students are able to write those requirements, why not spend the remaining 20% of the effort to write the code by himself, instead of risking being caught for plagiarism. At the same time, students can continue using the AI system for the satisfaction of ego and how well they perform as a human in comparison with AI.
It also will bring some challenges to professors as well. Probably, those who want to prevent students from feeding their assignments directly to AI-powered systems, will need to spend more time making assignment descriptions be more abstract and at the same time clear enough for students to generate requirements and write resulting code. Certainly, in light of AI advancements and derived opportunities, the education community will be forced to revise existing policies.

Conclusion

As I can’t refer to myself as distinguished or neither elderly, so even after my experience with ChatGPT, I’m still  of the same opinion: programmers are not at the risk of losing their jobs, at least for another several decades. It’ll take time before the AI will be able to compete with human programmers (not coders). AI can produce the solution for the small coding task and quality will improve over the time.
But when it comes to programming of large and complex enterprise systems with sophisticated business models/logic, AI-powered code generators would not be helpful. This kind software development project is about many components including: project management, business intelligence, business analysis, quality assurance, platform/cloud engineering (DevOps), database management (ORM), data warehousing, backend/frontend development, UI/UX, security, scalability, testing, deployment. All these components should be in harmony with each other and strongly integrated.
Does it mean that AI will never be able to deal with that complexity? Of course, it doesn’t. But it’ll take a long before AI acquires enough knowledge about business and about the overall World. AI will also be prone to mistakes, as humans do, but those mistakes can’t be easily found and explained by humans. Possibly, AI will find a way to do it differently bypassing some steps and making the lifecycle less sophisticated. We will see what way AI chooses, probably, in a couple of decades, or sooner.

Happy Birthday TCP/IP

Tcp/ip networking. Transmission Control Protocol. Internet Technology concept.

Today is not just beginning of 2022, 1 January is the birthdays of one of most significant inventions in the history of humanity. January 1, 1983 TCP/IP protocol was born and put in use that for decades underpins the entire Internet. In early 1983 Vint Cerf (inventor of protocol) had no idea which platforms will communicate over TCP/IP and what kind of data to be transmitted over connected devices. Almost 4 decades passed since there, thousands new platforms and applications appear transferring hundreds data type/format using technology invented 4 decades ago… Happy birthday TCP/IP! Happy New Year All!

Will Quantum Computing replace Traditional Computing?

Sophisticated architecture of IBM Quantum Computing platform

Same as with many other pioneering technologies (like Big Data, Deep Learning, Blockchain, IoT), Quantum Computing become buzzword for IT-empowered community thanks to tech giants including Google, IBM, Intel, Microsoft and promising startups. They invest billions to R&D related with field to secure own piece of pie in case if Quantum Computing become available in widespread use. A lot of people are talking about the technology, but limited have real application experience and proof of concept.
Most probably, in coming decades, Quantum computing will not be same efficient as traditional computers for general computational tasks, but they will be more productive for specific mathematical problems that matches well with their philosophy. What is more realistic, Quantum Computing will never replace traditional computing, instead will work in concert with them empowering each other. The future of Quantum Computing is same unclear as the stability of its superpositions. It is still in its infancy, the support infrastructure is too expensive and unstable.
The World has drastically changed in 20th century thanks to computing revolution recursively changing demand for computation. But if we look to history of computation, the only things that changed since first computer invention, are power, capacity, scale and application, but not the way of computation itself. It is right time for scientific and business communities worldwide to look for new computation paradigm expanding horizons of invention that may bring up an alternative for the traditional one that was invented centuries before the first computer appeared. At the beginning, it is not required for the new concept or paradigm to be better, it is enough to be different…

Tech Companies: winners and losers of the lockdown

Airbnb and Netflix – opposite business model in context of current lockdown and call “Stay at Home”

The Internet is the most open and powerful platform that brings together those who want to buy something and sell something… The most successful Internet giants mostly do not produce any product or offer sophisticated services. They just provide user-friendly interface designed to collect Data in expense of providing narrow and simple, however largely demanded service. The main idea of the platform is to Analyze in-depth the voluntarily provided massive Data, learn more trying to see end-to-end picture of the client, catch his behavior and try to predict his next action (or even to manage his actions…). And at this point Deep Science (Big Data, Data Science and Analytics, Machine Learning, etc.) can help fine-tune the service to make it much better and appealing for wider audience.

• Airbnb – the world’s largest accommodation provider owns no single room;
• Netflix – the world’s largest movie house owns no cinemas;

Business Model is really important in tech industry. But, you never predict the market demand and how exceptional circumstances can affect this demand…
Two Internet giant companies with opposite concept in terms of “Stay at Home”: One of the most successful unicorn company AirBnb plunges down, while another one Netflix experience unseeing demand (badly affecting the speed of connectivity Worldwide)…

The IEEE AICT2020 – 2nd Scientific Pilgrimage to the birthplace of al-Khwarizmi

Algorithms shape our lives. They decide how much to pay for goods or services, what to watch next, which information/news to see online, who will be our next friend, what route to take to reach a destination, etc. But have you ever thought what was the origin of the word Algorithm? AICT2020 is devoted to the scientific heritage of the man who formalized algorithms – Abdullah Muhammad bin Musa al-Khwarizmi. In 1979, Profs. Andrey P. Ershov and Donald E. Knuth with colleagues organized a Scientific Pilgrimage to the birthplace of al-Khwarizmi, the famous mathematician from Khiva (Khwarezm region), to celebrate the 1,200 years of his birth. He gave his name to the words “Algorithm” and “Algebra” which have become pillars of modern Computer Science and now Data Science.

After 40 years, we plan to organize in the framework of the AICT2020 the 2nd Scientific Pilgrimage to the birthplace of al-Khwarizmi to celebrate the 1,200 years of al-Khwarizmii becoming the head of the House of Wisdom in Baghdad (scientific research and teaching center). Every computer scientist to whom the word “Algorithm” makes great sense is welcome to join us during this Scientific Pilgrimage that will be complemented with a Summer School and Workshop for local university students and conference participants in Khiva/Urgench on 05-06 October, 2020.

Building on the success of previous conferences, AICT2020 is expected to be one of the most significant international academic conferences on ICT applications, which brings together researchers, academics, practitioners around the world to exchange, reveal and promote the latest advances on application of ICT. You are welcome to join us.

Abzetdin Adamov, AICT2020 Genera Chair

Yahoo – Internet titan in Past, Sinking ship Today

Yahoo – Internet titan in Past, Sinking ship Today

Yahoo, which was once an Internet titan, the only ruler of the entire Web, after years of mismanagement and underperformance looks like the Sinking Ship with irreparable hole in its side.

In February 2008 Microsoft made $44.6 billion bid for Yahoo. Later Yahoo announced its board of directors’ letter rejecting Microsoft’s hostile bid for the company as “massively undervalued. Now Yahoo’s board wants to sell its core business for $10 billion, and experts say that this price is slightly higher than its current market price.

Yahoo is still one of the biggest technological patent holders having nearly 3000 patents and pending applications. It is obvious that patents are heritage of the former very successful technological giant. If Yahoo made 399 patent applications in 2007, it filed just 66 new applications in 2013. Yahoo will receive fewer and fewer new patents in the coming years.
Yahoo plans to sell patents most probably initiating new Patent War (similar to Oracle vs. Google).

I think any company which acquire this huge sinking ship will follow to the same destiny. This would be a classic case of two wrongs trying to make a right.

Some References:

Yahoo is unloading 3,000 patents, and it will be a fire sale

Facebook Fights Back, Countersues Yahoo For Patent Infringement

Microsoft’s $44.6 billion bid for Yahoo

2nd INTERNATIONAL FORUM “BIG DATA DAY BAKU 2016” (BDDB2016) has Successfully Completed its Work

2nd International Forum Big Data Day Baku 2016 – Opening Ceremony

The 2^nd International Forum Big Data Day Baku 2016 (BDDB2016) was held under the slogan “Transforming Big Data into Big Value” on 17 May 2016 at the Qafqaz University, Baku Azerbaijan. This is highly meaningful that the BDDB2016 event coincides with World Telecommunication and Information Society Day. The Big Data Day Baku 2016 was jointly organized by CeDAWI Research Center (Applied Research Center for Data Analytics and Web Insights) and Barama Innovation and Entrepreneurship Center under sponsorship of the Azercell Telecom, support of the QUTechnopark, technical support of the Institute of Electrical and Electronics Engineers (IEEE) in co-operation with global Big Data vendors IBM, Oracle, Microsoft and local data-driven companies Azercell Telecom and ATL Group. During full day event distinguished experts from global and local Big Data companies and research institutions delivered Keynote Speeches dedicated to the Big Data and Analytics.

The event’s main goal was to increase public awareness of new opportunities and challenges brought by Big Data, share experience with industry and government on the development of state-of-the-art Data Analysis technologies, attract youth to make career and do outstanding research in Data Science.

 

EVENT’s WEBSITE: www.cedawi.org/BDDB2016