The Hottest Software Job and Hottest Programming Language in the Market! The first-ever new Job created by AI!

Dear Friends and Students

Recently I saw a Job post and Companies are willing to pay $300000 per Year (2.5 Crore INR)! Job Post says,” Anthropic (Google's latest $300M AI investment) is hiring a "Prompt Engineer" for $250k-$335k/yr + equity, No CS degree required, just have "at least basic programming and QA skills"!

As you all know, AI is replacing many human jobs and creating new jobs! This is the first ever job created by AI!! It is called “Prompt Engineer” or “Prompt Writer”. The hottest programming language now is not Python anymore but “ENGLISH”! It doesn’t make sense, right? But it is the harsh reality!

Of late, I am unable to provide perfect advice to Job aspirants! The reason is Technology is appearing like a monster if you don’t plan and prepare well. The same Technology is a new-age job creator if you tame it well! Yes true.

What is Prompt Engineering? It is the process of crafting and optimizing text prompts for large language models to achieve desired outcomes. Prompt engineers are experts who write prose in English, rather than code to test AI chatbots. Their job is to identify the AI's errors and hidden capabilities so AI or AI developers can address/correct them. They need to build a library of high-quality prompt chains to accomplish a variety of tasks.

Why it is so important? In order to answer any question, AI has to enumerate a chain of step-by-step logical deductions. Hence someone has to teach AI bots. This teaching job to AI Bot is called Prompt Engineer or Prompt Writer!

You may surprise, but in the next 5 years, the following prompts can become the new normal. Now you can gauge how many traditional jobs are at stake and how many new jobs are going to come.

Prompt Examples: Develop a new product from scratch, taking into account user needs, market demand, and technical feasibility, Improve an existing product, Develop a new process for manufacturing a product that is more efficient, cost-effective, or environmentally friendly, Develop a new software application, Analyze the technical and economic feasibility of a proposed project, Develop a new material with specific properties, such as strength, flexibility, conductivity, or durability, and Conduct a structural analysis of a building, bridge, or other structure to determine its strength, stability, and safety.

Friends, today my words look funny and exaggerated. When we started Enligence Technology Labs(www.enligence.com)- AI Powered Metaverse-based Total Job Interview Automation, 4 years back, people did not believe in us. Today that technology itself is on the verge of obsoletion after Chatgpt API opened up. Now we are relying on Prompt Engineering to manage the responses of Candidate and Chatgpt for validation.

The Engineering Education landscape is changing drastically. If they don’t adopt these new changes, they have to face dire consequences in their career. Similarly, a college startup's future is going to be completely dependent on how well you use Generative AI and Automation Philosophy.

Nowadays, my advice to college students is also totally changed and frankly advising our student startups with these new dimensions. Temporality students may get discouraged but long-term startup sustainability is more important. I don’t want to advise irresponsibly for the temporary name and fame. Startups must study this AI landscape thoroughly to survive in this new age.

Are you ready to apply for Prompt Engineer or Prompt Writer Job?

Ravi Saripalle

Your New Co-Researcher- Boon or Bane? Productivity Enabler or Creative Loss? -Message to Researchers, Faculty, and Students!

Dear Researcher, Faculty and Student Friends

Three Years back, a few students who are applying to the US requested me to prepare a “Step by Step Approach to develop a Systematic Literature Survey (SLR) based Paper Publication”. In earlier days, it used to take at least 1 month to conduct a fundamental literature survey for a basic paper publication. On top of it, the author needs comprehension skills, English articulation skills, and of course domain understanding to write a paper. Hence paper publication skill is limited to a few people.

In this context, I made a step-by-step approach for developing SLR based article (you may refer - https://www.slideshare.net/RaviSaripalle/step-by-step-approach-to-systematic-literature-review-slr-journal-paper-first-time-authors-research-navigator). If you simply follow the steps mentioned in this presentation, you can write a paper in 10 days’ time!

However today my presentation becomes meaningless! Chatgpt 3 or 4 is coming in the form of a technical tsunami. It hardly takes 3 seconds to generate 10 different titles if you know the basic theme of your paper publication. It takes 10 seconds to generate 30 different publication references. It takes 10-15 seconds to finetune your introduction paragraph and another 30 minutes to clean and make it your way. If you have experimental results with you, it takes 3 days to write a decent paper!

Now, what is the question? Is it killing creativity and novelty? Or is it killing the natural language ability to write a paper? Or is it helping the researcher to focus more on research, curiosity and exploration, and experimentation? 

Let me answer this way.

In the 1980s, people used to physically visit various libraries and write a paper on physical paper. Often availability and accessibility of the physical papers/books, repetitively copying the same matter again and again on multiple A4 papers, and finally making a fair copy to submit, are certain limitations to those researchers. It is also a discouragement to the creativity and originality of the researchers. 

Later type machines came and partly solved the fair copy issue but still, accessibility and availability remained challenges. Later word processing and the internet solved these issues to a great extent but the ability to write English, articulation, etc are a few limitations. 

Grammarly/Jasper Type of tools came into existence to solve grammar issues, but still individual has to reach so many sites to gather literature. Still, limitations of the search capability, and articulation remained as bottlenecks.

In all these cases, researchers are still worried about other aspects than original experimentation and results analysis. Chatgpt 3 and Chatgpt 4 are solving these issues. Last week I was helping with one article. Hardly it took 10 minutes to complete all these mundane tasks and helped us to focus on core results and discussion sections, which are fundamental to the research. In this process, Chatgpt gave access to certain core articles which we would have missed in our traditional literature survey process.

Obviously, the chatgpt platform is a bane to a few traditional researchers. However, it is a boon for the new-age researcher. They should focus more on identifying the root problem, applying Design Thinking, and Developing relevant solutions. They need not focus on literature surveys and how to write a paper!

Dear Students, when the market is facing a recession, you should make your resume strong. Paper publications make your resume superior. If you are planning for higher education, paper publications are a must. Please start using Chatgpt and publish a few basic SLR-based papers.

Using ChatGPT for literature surveys and scientific research is legal. However, Springer Nature clarified that ChatGPT can't be credited as an author on a research paper. Ultimately, research must have transparency in methods, and integrity and truth from authors. You also need to see the aspects of the model's unreliability in terms of providing accurate or authentic references and citations. Please read this article before you start making your next research article- https://www.animateyour.science/post/how-to-use-chat-gpt-opportunities-and-risks-for-researchers

Life and Time never remain constant! Physical Paper-Type Writer & Shorthand – Word Processor & Internet – Productivity Tools like Grammar Editors, Jasper AI Copywriter/AI Content Generator – Chatgpt-3 – Chatgpt 4 (analyze image-related queries as well)- Next what?? Stay tuned!

So, are you ready to publish your next scientific SLR-based article?

Ravi Saripalle

How you behave at Age 11 reflects your attainment at Age 50! The First Longitudinal Study (50 Years) Results got published! Can you check your traits at Age 11?

 Dear Friends and Students

Three researchers conducted a study on the sample for the first time in a span of 50 years (Marion Spengler (University of Tübingen), Rodica Ioana Damian (University of Houston), and Brent W. Roberts (the University of Illinois at Urbana-Champaign)- Journal of Personality and Social Psychology)! This study provides evidence that childhood personality traits can have a powerful influence on life outcomes.

Survey Process- The first phase of this survey took place in 1960 when a representative sample of U.S. high school students (5%) was assessed. Initially, over 440,000 students (Grades 9 to 12) participated. The original survey is called Time 1, the 11-year follow-up is Time 2, and the 50-year follow-up is Time 3.

Specifically, the study found that individuals who were more careful, emotionally stable, and mature at age 11 tended to have higher levels of education, better job satisfaction, and better overall health at age 50. Childhood thoroughness was a stronger predictor of job satisfaction than it was of income. Another important finding of this study is that the relationship between childhood personality traits and life outcomes was not entirely explained by intelligence or socio-economic status.

I totally agree with this point. A lot of times parents say that their son/daughter is not socially moving. He/she is hiding in the public, etc. However, research says, carefulness was found to be a particularly important predictor of life outcomes, while traits such as friendliness and sociability were less important. Childhood emotional stability was particularly predictive of health outcomes.

Now in the next 2 years, my classmate’s batch is completing 50 years! Personally, I witnessed many of my classmates who do not have great socio-economic status or intelligence levels, now all are settled well across the world. I know a few of my friends, who were super intelligent but did not plan well, are now facing huge hurdles in their lives. One who is consistent in their efforts is settling well in life. It is not about marks or ranks; it is all about how well you are close to your efforts.

At the age of 11, you need to be curious about any subject. At the age of 17, you need to start applying the learned subject in real life. At the age of 22, you need to search for an opportunity to feed yourself. Between the age of 21-28 (depending on your economic/social status), you need to get married and settle in life. At the age of 35, you need to aim for growth and give your best in your employment. At the age of 40, you need to give back your knowledge, and curiosity to your children. At the age of 50, you need to slowly plan for your higher-order thinking (beyond employment). At the age of 60, you need to start relinquishing your duties and naturally plan for your retirement life. At the age of 70, you need to empower the next generation, help them with your wisdom, elevate their consciousness, and transition your great legacy.  Of course, depending on the personal situation, and professional work setting, a different set of people change their course/age order but broadly the theme is going to be in this line.

What traits did you possess when you were 11? How much correction applied so far in your current age form? Can you recollect?

Ravi Saripalle

The Changing Driving Forces of the Indian Marriage System!

Dear Friends

Recently I met one of my friends. He is always a good analyst. He made an interesting observation on the Indian Marriage System and how it is changing. Largely he could able to convince me with a few disagreements!

Traditionally marriages are made between known families of the same religion, caste, sub-caste, sect, region, and so on. Predominantly they are arranged between elders and family heads. They were successful because the common thread for all of them was family bondage!

However, off late, job migration, diminishing family systems, and nuclear families are leading to the disintegration of this type of marriage system. Even if, many of them are facing challenges due to a lack of common “Emotion” or “Vision” or “Philosophy” “Driving Agent”.

Today most of the marriages are happening on the following threads.

1.    Institutional Marriages- Unlike family-driven, a large portion of the young generation is preferring to institutional marriages. They both share common philosophy or emotion. They are not worried much about religion, caste, sect, region, etc. In these cases, they work together on similar lines, hence fewer chances of disintegration. Of course, if any of the partners leave the common thread, they are also prone to trouble. However, at least initially they both make some agreement and start their lives. They also receive community support and mutual cooperation from other members. Communities share the responsibility of Upbringing their children as well. Hence, they attract a larger interest in today’s marriage system. For e.g., common threads could be as follow.

a.     Families following the same philosophy from institutions like Kanchi Mutt, Udupi Mutt, Gudiya Math, Raghavendra Mutt, ISHA foundation or Art of Living, etc

b.    Both the partners working on a common vision- Climate Change, Sustainable Agriculture, Poverty Alleviation, Business Partners, etc

2.    Mature Love Marriages- Today a large number of youngsters are resorting to this model as they share strong emotions. However, the flaw in this system is the lack of wider family support and community support. As long as both are strong on their emotions, it works. If the emotions are shaken, trouble brews.

3. Infatuation-Driven Love Marriages- These marriages are definitely prone to fail. Both of them lose grip on long-term drivers, and eventually, they disintegrate.

4.    Parents- Children Consensus Driven Marriages- Traditionally these types of marriages were prevalent. However, off late, this percentage is gradually diminishing as the process becomes tedious for both families.

These marriages look at various matching parameters like family history, horoscope, star, caste, nature of the Job, Package, location, appearance, social habits, boy’s/girl’s previous social background, influences, the financial position of both families, educational background of both families, and many more. 

I asked ChatGPT, “what is the probability of matching 15 different parameters on 100 scale matches”. It said, 2.4% (If we assume that the probability of matching a single parameter is 0.5 (i.e., each parameter is equally likely to match or not match), then we can calculate the probability of matching 15 parameters on 100 samples as P(X = 15) = (100 choose 15) * 0.5^15 * 0.5^85 = 0.024, Therefore, the probability of matching 15 parameters on 100 samples is approximately 0.024 or 2.4%).  

In this article, I am not saying/suggesting which is the best and worst option. I am only presenting my perspective which is subjective to correction. It is up to the boy, girl, and parents to decide which suits them the best. In this world, there is no perfect situation and match. Every family or boy or girl has to compromise on certain aspects. The less is more sustainable.  

Note: These are my personal views.

Ravi Saripalle