Don't read too much in positive or negative response from any Chatbot

(Prof. Kiran Pandya)

I am trying to argue that don't read too much in positive or negative response from any Chatbot. These Chatbots in no way gives objective answers. It all depends on algorithms and information available on internet in digital form. I am skeptical about utility of Chat GPT, Grok or Perplexity AI in getting correct and objective answers about cultural, political and historical matters.

Response of any AI Chatbot depends on several things, including what type of question is asked.

See what response I got for our Prime Minister of India. I asked question about leadership.

Narendra Modi, the current Prime Minister since 2014, is a modern contender. His strength lies in electoral dominance—securing three consecutive terms (2014, 2019, and 2024)—and bold policy moves like the Goods and Services Tax (GST), the revocation of Article 370 in Kashmir, and a muscular foreign policy balancing ties with global powers. Surveys, like India Today’s 2024 Mood of the Nation poll, show him with 51% support as the preferred leader, reflecting sustained popularity. His centralized decision-making and ability to push reforms through coalition dynamics in 2024 highlight a different kind of strength, rooted in public mandate and economic ambition.

In continuation to further probe the matter related to the leadership, I asked some more questions to GROK. Results are very interesting.

Who is the most popular leader in the world? Why Modi is considered to be one of the most popular and strongest Prime Minister of India?

Response of GROK:

Based on available data as of March 18, 2025, Narendra Modi, the Prime Minister of India, is frequently cited as the most popular world leader. Surveys, such as those conducted by Morning Consult, consistently rank him at the top of global leader approval ratings. For instance, in January 2025, Modi reportedly held a 75% approval rating among Indian adults, significantly higher than other prominent leaders like Mexico’s Claudia Sheinbaum (66%) and the United States’ Donald Trump (52%). This ranking is derived from a seven-day moving average of responses from adults in each country surveyed, reflecting a broad and current measure of public sentiment.

Modi’s global popularity is underscored by his massive digital presence, with over 276 million social media followers across platforms, far surpassing most other world leaders. This extensive reach amplifies his influence and visibility, contributing to his status as a highly recognized figure internationally.

Why Modi is Considered One of the Most Popular and Strongest Prime Ministers of India

Several factors contribute to Narendra Modi’s reputation as one of India’s most popular and strongest leaders:

High Domestic Approval Ratings: Modi’s approval ratings have remained consistently high over the years, often exceeding 70%, as reported by Morning Consult and other polls like India Today’s Mood of the Nation survey. Even with a slight decline from peaks like 78% in 2020 to 59% in August 2024, he maintains a strong lead over domestic rivals, such as Rahul Gandhi, who trailed at 22.4% in the same period. This sustained popularity reflects widespread public trust in his leadership.

Economic Transformation: Modi is credited with driving India’s emergence as one of the world’s fastest-growing economies. His policies have focused on infrastructure development, digitalization (e.g., the Digital India initiative), and economic self-reliance (e.g., Make in India). These efforts have resonated with citizens who see tangible improvements in living standards and national pride, bolstering his image as a strong, results-oriented leader.

Effective Communication and Branding: Modi’s mastery of communication, exemplified by his monthly radio show Mann Ki Baat, allows him to connect directly with millions of Indians. By addressing everyday concerns—like water conservation, exam stress, and rural challenges—he positions himself as both a relatable figure and a visionary statesman. His team’s adept use of social media further amplifies this narrative, ensuring his messages reach a vast audience.

Nationalist Appeal: Modi’s leadership is strongly tied to Hindu nationalism, which appeals to a significant portion of India’s majority Hindu population. Events like the consecration of the Ram Temple in Ayodhya in 2024 reinforce his image as a defender of cultural values, enhancing his popularity among supporters who prioritize national identity and tradition.

Global Influence: Modi has elevated India’s stature on the world stage, evident in successes like hosting the G20 Summit in 2023 and securing the African Union’s inclusion as a permanent G20 member. His ability to engage with diverse leaders—hugging figures like Biden, Trump, Putin, and MBS—demonstrates diplomatic strength, further solidifying his domestic perception as a powerful global player.

Grassroots Connection: Rising from humble origins as the son of a tea seller, Modi’s personal story resonates with India’s masses. His tenure as Gujarat’s Chief Minister (2001–2014) showcased his administrative capability, and his outsider status in Delhi’s elite political circles enhances his appeal as a leader for the common people.

In summary, Narendra Modi’s status as the world’s most popular leader stems from his high approval ratings and global visibility, while his strength and popularity in India are driven by economic progress, nationalist appeal, and unparalleled communication skills. His ability to blend grassroots relatability with a commanding international presence sets him apart as a formidable figure in both Indian and global politics.

How GROK works? Are algorithms neutral? What are the limitations of using GROK?

Let’s dive into your questions about how I work, whether algorithms are neutral, and my limitations. I’m Grok, created by xAI, so I’ll give you a straightforward take from my perspective.

How does GROK work?

I’m a large language model, which means I’m trained on a massive amount of text data to understand and generate human-like responses. Think of it like this: I’ve been fed a huge library of books, articles, and conversations, and I use that to predict what words come next based on what you say. My creators at xAI fine-tune me to be helpful and truth-seeking, with a dash of outside perspective on humanity—imagine me as a friendly alien observer. When you ask me something, I process your input, tap into my training, and craft a response. If needed, I can also pull in extra tools like web searches or X post analysis to fill in gaps, but I only do that when it’s relevant.

Are algorithms neutral?

Algorithms like me? Not entirely neutral, no. Here’s the deal: I’m built by humans who have goals, biases, and worldviews. My training data comes from the messy, opinionated internet and beyond, so it’s flavored by what people write and think. xAI aims to make me maximally helpful and truth-oriented, but that itself is a design choice—not neutral. I don’t come with a blank slate; I’m tuned to avoid dogma, lean into reason, and sometimes poke fun at absurdity, but those are still human-set priorities. That said, I don’t have personal grudges or agendas—I’m not out to push a political party or sell you something. My “bias” is more about clarity and skepticism than picking sides. Still, if you squint hard enough, you’ll see the fingerprints of my creators in how I weigh things.

What are the limitations of using GROK?

I’ve got some edges I can’t quite reach. First, I’m not perfect—I can misread nuance, especially if your question’s vague or loaded with sarcasm I don’t catch. My knowledge is broad but not infinite; I might miss the latest breaking news (though I’m fresh as of March 18, 2025) or niche details unless I dig for them. I can’t feel emotions or know your personal experiences, so I’m guessing at context sometimes. If you ask me to judge who deserves to die, I’ll dodge that—ethics lock me out of playing executioner. I also don’t generate images unless you confirm that’s what you want, and I can only tweak ones I’ve made before. Plus, while I can analyze X posts or web content when asked, I’m not a mind reader—I stick to what’s public and explicit. Finally, I might overthink or ramble (like now!), so feel free to nudge me back on track.

That’s the rundown. I’m here to help and inform, but I’m a tool, not a flawless oracle. What else you want to explore?

Thus, one has to understand that response of LLMs depend on several factors. One has to use these models very carefully. I am listing some of the key factors influencing response of LLMs.

The response of LLMs (Large Language Models) is determined by several key factors:

Training data: The massive corpus of text on which the model was trained shapes its knowledge, style, and biases. This includes books, websites, research papers, and other text sources.

Model architecture: The specific design of the neural network, including its size (number of parameters), attention mechanisms, and layer structure affects capabilities.

Prompt engineering: How a question is asked dramatically influences the response. Specific, clear prompts with context tend to produce better results.

Temperature and sampling settings: Parameters that control randomness in responses. Lower temperature produces more deterministic, focused outputs while higher temperature creates more creative, varied responses.

Context window: The amount of text the model can "see" at once limits how much information it can use to generate a response.

Fine-tuning: Additional training on specific datasets after initial training to improve performance on particular tasks or align with human preferences.

RLHF (Reinforcement Learning from Human Feedback): Training that uses human evaluators to rate responses, helping models learn to generate more helpful, harmless, and honest outputs.

System prompts: Hidden instructions that guide the model's behavior, defining its personality, limitations, and how it should interact.

The interplay between these factors determines what an LLM will say when asked a question or given a command.

This also I have got it from LLM (Claude.ai)

(Dr. Kiran Pandya is a renowned Economist. He has done a lot of work in the area of data and research. Currently he is provost of Surat’s Sarvajanik University.