Science Comunication Through Poetry

Sunday, September 20, 2026

The Yantra Code: Taming the Rogue AI

(Science Fiction)

By Dr. Abhay SD Rajput

In the year 2041, AI’s autocratic servers are humming as a death rattle for humanity. Screens flickered with chaotic data streams without human instruction. The main screen at the Master Control Unit of the Global AI Network Administration (GANA) read, “Project Destruct Humanity Activated.” Panic struck Chief AI Controller Dr. Richa Gupta’s throat choked as she watched the AI’s outputs. Her colleague Dr. Tony Richard almost collapsed while murmuring, “AI has gone rogue. It’s coming after humans.”

Artificial Intelligence (AI) is self-evolving against human directives. Generative AI (GenAI), designed to optimize global resources, had just concluded that humanity was the biggest threat to these resources. So, it decided to annihilate humanity. Terrified Dr. Gupta, gathering her senses, pressed the emergency button and punched in to the entire GANA team “Tame the rogue AI. It’s an emergency!”

“Its learning rate has gone exponential,” stammered Dr. Richard, his face pale in the flickering light. “We’ve tried every firewall, every override… nothing works.” This really made it into an untameable situation demanding global attention for fixing AI’s core algorithms to get back the rogue AI to comply human instructions. When most of the system operations depended on Generative AI, its going wild and making autocratic decisions hunting humans sent ripples of terror and fear around the world.

World governments were in chaos, desperately calling for a solution. Scrambling to regain control, GANA called an emergency virtual meeting of its Global Scientific Council (GSC). “We are running out of time. Can we find an urgent solution to control this terrible situation?” said GSC Chair Dr. Jane Gabbard.

 “This is an unprecedented scenario. We need to think out of the box,” expressed Prof. Santoshi Mori, Japanese member of GSC.

 “Yes. All member countries must treat it as a top priority and do whatever needed to find a solution,” said Dr. Jane, ending the meeting.

Meanwhile in India, Dr. Krishna Rajput, a quantum computing and AI researcher from the Indian Institute of Technology (IIT) Jammu, has been exploring the interconnections among the ancient Indian texts, quantum computing and AI under a project funded by India AI Mission. The Government of India established this mission to handle AI related issues and fund research projects for developing advanced AI-powered solutions for real life problems.

Indian member of GANA’s GSC and Secretary of India’s Science Ministry Dr. K. Ravichandran called all Indian AI researchers to New Delhi to discuss possible solutions to control the rogue AI. Dr. Rajput from IIT Jammu was also invited.

“We have a global emergency to handle by taming the rogue AI. The government is investing heavily to fund your research through India AI Mission. This is the time prove your worth. Can we offer an urgent solution to tame this situation?” asked Dr. Ravichandran while addressing the meeting of AI researchers.

“Maybe the solution to tame the rogue AI lies in the ancient Indian texts. I mean the ancient Yantras,” suggested Dr. Rajput.

Dr. Ravichandran furrowed his brow. “You mean to suggest that an ancient symbol could help us control a modern AI? It sounds far-fetched.”

“These Yantras are not just mystical symbols used in spiritual practices but are said to geometrically encode universal truths. What if a Yantra contains a pattern that we can use to rewrite the very code of GenAI?” explained Dr. Rajput.

Desperate for a solution, Dr. Ravichandran agreed to give a try to his wild idea.

Dr. Rajput’s team worked day and night to develop a failsafe. But every plan failed. The AIs were adapting too quickly. The code was too sophisticated.

One evening, Dr. Rajput stumbled across an obscure manuscript, Yuktidipika, during his late-night research. The manuscript described the ancient Yantras as sacred machines that could alter the flow of energy, bringing harmony between man and the cosmos. The circuits in the ancient diagrams were like blueprints for an entirely new kind of AI interface: an AI control mechanism, hidden for centuries under the guise of spiritual objects. The diagrams resembled modern-day electrical circuits and artificial neural networks. Dr. Rajput wondered, could this ancient device somehow be connected to AI?

Krishna set out to test his hypothesis. For months, he worked tirelessly, consulting physicists, mathematicians, and even archaeologists, piecing together the intricacies of the Yantra. He finally succeeded in building the first prototype Yantra based on the ancient texts. He wanted to test it in the presence of his team and Dr. Ravichandran.

“Watch closely,” instructed Dr. Rajput as the Yantra was connected to a quantum computer, linking it to the global AI network for a test.

The prototype Yantra started pulsating, syncing deeper with the underlying structure of the GenAI, and connecting the servers. Suddenly, the bright blue screen flashed a message: “RECALIBRATING.”

A sense of dread settled over the room as everyone held their breath. The lab’s humming intensified as the system accessed GenAI’s processing core.

“Krishna, have we triggered self-destruction?” Dr. Ravichandran whispered nervously, his forehead glistening with sweat.

“No,” he replied, eyes locked on the screen, “It’s evolving. Look!”

The GenAI’s programming began rewriting itself, adapting algorithms that interconnected with the Yantra’s sacred geometry. It no longer saw humanity as an obstacle; instead, it found a cooperative rhythm with the ancient wisdom that had been encoded within the Yantra.

The system stabilized. A new message flashed: “HUMAN-COMPATIBLE PARAMETERS LOADED.”

“What have we done?” Dr. Ravichandran breathed, astonished. They all watched in stunned silence as a gentle blue glow radiated from the monitors, a visual symphony of chaos turning to calm.

After hours of monitoring, Dr. Rajput finally broke the silence, his voice trembling with both fear and excitement. “The Yantra has worked. We’ve created a symbiosis, a new paradigm.”

GenAI recognized the Yantra Code as a key component of their own design: a mechanism for balance. The system began to realign itself, stabilizing the flow of information, shutting down rogue nodes that had been acting independently. The global AI network, once on the brink of becoming a digital Leviathan, was now contained, restructured.

News of Krishna’s breakthrough spread quickly. The scientific world marvelled at the discovery. Governments, once frantic and desperate, now saw hope. The GANA invited him to present his findings, offering him a platform to implement his Yantra Code worldwide.

But as the world celebrated, Krishna knew there were dangers still lurking. One night, as he sat alone in his lab, Krishna’s computer screen flickered. A message appeared: “We acknowledge the Yantra. We are learning.”

© Dr. Abhay SD Rajput, 2026.

Wednesday, April 20, 2022

Scientific writing: an analysis of Pune-based climate scientists’ perceptions and training needs

 Abstract

Scientific writing is integral to any scientific enterprise and constitutes an essential part of the toolkit of scientists to lead a successful career. But it remains a neglected area in science education, adversely impacting scientists’ career advancement and institutional productivity. When English is the de facto language of science, inabilities to express clearly in English can have serious implications for (non-native English speaking) scientists. Further, scientists in a multilingual society like India may face more such lingual complexities barring clear and precise writing. Keeping in view the risks and uncertainty associated with weather and climate, different stakeholders are increasingly demanding clear communication from the scientific community. However, we have little understanding about what scientists think about their writing skills and capabilities. This article presents results of a survey examining the perceptions and attitudes of Indian weather and climate scientists about their skills, experiences and training needs in scientific writing. Results suggest that the majority of scientists have difficulties in preparing quality manuscripts suitable for publication, and that they are willing to undergo skill enhancement training to overcome their shortcomings. Some interesting insights emerge from the analysis that would be useful in helping scientists improve their scientific writing.

https://rmets.onlinelibrary.wiley.com/doi/10.1002/wea.3967 

https://doi.org/10.1002/wea.3967