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  • How different are Supercomputers to normal computers?

    Why in the News?

    This newscard is an excerpt from the original article published in The Hindu.

    What is a Supercomputer?

    • Overview: A high-performance computing system capable of trillions to quintillions of calculations per second.
    • Parallel Computing: Uses thousands of processors working together instead of relying on a single fast processor.
    • Applications: Climate modelling, nuclear simulations, black hole research, drug discovery, and artificial intelligence training.
    • Performance Measure: FLOPs (floating-point operations per second); advanced machines now achieve exaflop levels (10¹⁸ calculations/sec).

    How Supercomputers Differ from Normal Computers

    • Speed: Laptops perform billions of FLOPs; supercomputers perform quintillions.
    • Parallelism: PCs use one or few processors; supercomputers employ thousands to millions of cores.
    • Structure: Built of interconnected nodes (processor + memory bundles) linked by ultra-fast networks.
    • Storage: Manage petabytes of data, unlike gigabytes/terabytes in personal devices.
    • Cooling & Power: Need specialised cooling (water/immersion) and consume electricity equal to a small town.
    • Usage: PCs run interactive apps; supercomputers run scheduled jobs remotely for scientists and researchers.

    India’s journey in Supercomputing:

    • Early Efforts: Began with C-DAC’s PARAM 8000 (1991) after Western import restrictions.
    • National Supercomputing Mission (2015): Jointly by DST & Ministry of Electronics and IT; implemented by C-DAC and IISc to build 70+ systems.
    • Major Systems (2025):
      • AIRAWAT-PSAI (C-DAC, Pune) – fastest in India (8.5 PF, global rank 136).
      • PARAM Siddhi-AI – global AI leader.
      • Pratyush (IITM, Pune) – weather & climate (3.76 PF).
      • Mihir (NCMRWF, Noida) – medium-range weather (2.57 PF).
      • PARAM Pravega (IISc, Bengaluru) – academic use (>3.3 PF).
    • Indigenous Push: PARAM Rudra (2024) with Indian servers and software stack.
    • Applications: Monsoon forecasting, Himalayan research, defence simulations, AI, drug design, materials science.
    • Current Capacity: 34+ supercomputers with ~35 petaflops; plans for exascale systems underway.
    [UPSC 2014] Param Padma, which was in the news recently, is:

    (a) a new Civilian Award instituted by the Government of India

    (b) the name of a supercomputer developed by India *

    (c) the name given to a proposed network of canals linking northern and southern rivers of India

    (d) a software programme to facilitate e-governance in Madhya Pradesh

     

  • Is it feasible to blend Isobutanol and Diesel? 

    Why in the News?

    The Union Transport Minister has announced that the Automotive Research Association of India (ARAI) is studying the feasibility of blending Isobutanol with Diesel after ethanol–diesel blending attempts failed.

    About Isobutanol:

    • What is it: A four-carbon alcohol (C₄H₁₀O), clear, flammable, and traditionally used as a solvent in paints, coatings, and chemical industries.
    • Production: Derived either from petrochemical processes or by fermenting sugarcane, molasses, and grains with engineered microbes.
    • Fuel Properties:
      • Higher energy density than ethanol, closer to diesel.
      • Lower hygroscopicity (absorbs less water), reducing rust and corrosion in engines and pipelines.
      • Higher flash point than ethanol, making it safer for storage and transport.

    Isobutanol–Diesel Blending and Benefits:

    • Compatibility: Unlike ethanol, isobutanol blends well with diesel without extra chemicals.
    • Economic Feasibility: Can be produced in existing ethanol plants with minor changes.
    • Agricultural Support: Creates demand for sugarcane by-products, helping farmers and managing sugar surplus.
    • Energy Security: Reduces reliance on imported fossil fuels and saves foreign exchange.
    • Global First: Pilot studies may make India the first country to use isobutanol–diesel blends.

    Challenges and Risks:

    • Combustion Issues: Has a lower cetane number than diesel, causing poor combustion quality.
    • Engine Risks: Can trigger diesel knock (uneven burning, power loss, engine damage).
    • Mixing Limitations: Blending challenges exist but can be partly solved with biodiesel addition.
    • Cost Factor: Requires additives to restore cetane number, increasing costs.
    • Blending Limit: Experts suggest ≤10% blending to avoid harm.
    • Pilot Phase: Testing will take ~18 months before possible large-scale adoption.
    [UPSC 2020] With reference to green hydrogen, consider the following statements:

    1. It can be used directly as a fuel for internal combustion.

    2. It can be blended with natural gas and used as fuel for heat or power generation.

    3. It can be used in the hydrogen fuel cell to run vehicles.

    How many of the above statements are correct?

    Options: (a) Only one (b) Only two (c) All three* (d) None

     

  • ‘Smog-eating’ photocatalytic coatings on roads to curb pollution

    Why in the News?

    Delhi government has announced a feasibility study to test photocatalytic coatings on roads, pavements, and public spaces to bring visible improvements in air quality.

    About Smog:

    • Overview: Combination of smoke and fog, forming smoky fog with soot, gases, and moisture.
    • Components: Includes soot particulates, sulphur dioxide (SO), nitrogen dioxide (NO), hydrocarbons, carbon monoxide (CO), and ozone (O).
    • Types:

      1. Sulfurous Smog (London Smog) – Caused by burning coal and sulphur-bearing fuels; worsened by dampness and particulates.
      2. Photochemical Smog (Los Angeles Smog) – Produced when NOₓ and hydrocarbons react under sunlight, forming ozone; appears as a brownish haze with respiratory effects.
    • Pollutants:

      1. Primary pollutants: Directly emitted (NO₂, SO₂, hydrocarbons).
      2. Secondary pollutants:  Formed via reactions (ozone, acid rain).
    • Haze vs. Smog: Haze = dry particles reducing visibility; Smog = pollutants with condensation.
    • Effects: Respiratory distress, eye irritation, plant damage, reduced visibility, carcinogenic risk, worsened by inversion layers and low rainfall.

    What are “Smog-Eating” Coatings?

    • Technology: Photocatalytic coatings using titanium dioxide (TiO) on roads, pavements, and public surfaces.
    • Function: Under sunlight, TiO₂ breaks down pollutants like NO and hydrocarbons into less harmful compounds.
    • Advantages: Low-cost, stable, compatible with traditional materials, effective in depollution and creating self-cleaning surfaces.

    Delhi Government Plan

    • Plan: If viable, Cabinet proposal for citywide rollout at busy corridors, markets, and public spaces.
    • Evaluation: Study to assess cost-effectiveness, safety, and sustainability while shortlisting suppliers.
    • Strategic Context: Part of a 24×7, year-round environmental action plan using technology-driven interventions.
    [UPSC 2013] Photochemical smog is a resultant of the reaction among-

    (a) NO₂, O₃ and peroxyacetyl nitrate in the prescence of sunlight *

    (b) CO₂, O₂, and peroxyacetyl nitrate in the presence of sunlight

    (c) CO, CO₂, and NO₂ at low temperature

    (d) high concentration of NO₂, O₃ and CO in the evening

     

  • A climate-health vision with lessons from India

    Introduction

    At the Global Conference on Climate and Health (July 2025, Brazil), 90 countries shaped the Belém Health Action Plan, which will guide the climate-health agenda at COP30 (Nov 2025). Ironically, India, despite having some of the most instructive welfare experiences linking climate and health, was not officially represented, a missed opportunity to emerge as a global exemplar.

    India’s non-health interventions like the Pradhan Mantri Poshan Shakti Nirman (PM POSHAN), Swachh Bharat Abhiyan, Mahatma Gandhi National Rural Employment Guarantee Act (MNREGA), and Pradhan Mantri Ujjwala Yojana (PMUY) offer rich lessons for operationalising an integrated climate-health framework. They reveal that intentional, intersectoral action can yield multiple dividends: improved nutrition, reduced pollution, restored ecosystems, and healthier communities.

    Why is this news significant?

    India’s absence at Belém stands out because for the first time a global platform is drafting a climate-health action plan. While India has often been viewed through the prism of its energy transition challenges, this moment presented a chance to highlight its homegrown welfare successes with global resonance. The paradox is striking: even without designing policies as “climate policies,” India has reaped climate-health co-benefits, unlike many countries still struggling to integrate the two. Yet, persistent failures like high LPG refill costs in PMUY and siloed governance highlight the scale of unfinished work.

    What is the Belém Health Action Plan (BHAP)?

    • The BHAP is a strategic framework being finalized ahead of COP30 (Nov 2025, Belém, Brazil) intended to integrate health into climate change adaptation.
    • It emphasizes health equity, climate justice, and social participation alongside strengthening health systems to be resilient in face of climate change.

    Key Features / Action Lines

    Some of its priority action lines include:

    • Surveillance & Monitoring:
      • Linking climate/environmental data with health surveillance, early warning systems (for heatwaves, epidemics, etc.).
      • Real-time data, local / community-level monitoring.
    • Evidence-Based Policy Strategy & Capacity Building:
      • Training health workforce, integrating mental health & psychosocial support measures.
      • Gender-responsive, inclusive policies, recognizing most vulnerable groups (women, Indigenous people, persons with disabilities).
    • Innovation & Production:
      • Resilient infrastructure and services (e.g. climate-adapted health facilities), sustainable supply chains.
      • Focus on blended financing and mobilizing investments to make health systems adaptive and equitable.
    • Cross-cutting priorities:
      • Health equity & climate justice: ensuring that adaptation efforts do not further marginalize vulnerable groups.
      • Leadership & governance: accountability, social participation from civil society, clear institutional roles.

    What lessons do India’s welfare programmes offer for climate-health synergy?

    1. PM POSHAN: Covers 11 crore children in 11 lakh schools, linking nutrition, agriculture, and education. Promotion of millets strengthens climate-resilient food systems.
    2. Swachh Bharat Abhiyan: Improved sanitation, public health, and environmental sustainability, while embedding dignity and cultural symbolism via Gandhi’s vision.
    3. MNREGA: Enhanced livelihood security while simultaneously restoring degraded ecosystems through water conservation and afforestation.
    4. PM Ujjwala Yojana (PMUY): Transition to clean cooking fuel cut household air pollution — a leading cause of respiratory illness — while reducing carbon emissions.

    How has leadership and community engagement shaped outcomes?

    1. Political leadership: Direct involvement of the Prime Minister gave Swachh Bharat and PMUY inter-ministerial traction and public legitimacy.
    2. Community engagement: PM POSHAN leveraged parent-teacher committees, Swachh Bharat invoked cultural pride in cleanliness, ensuring local ownership.
    3. Cultural anchoring: Climate action framed as health protection resonates more deeply than carbon metrics.

    What structural challenges persist in implementation?

    1. Administrative silos: Divergent sectoral mandates limit integrated outcomes.
    2. High refill costs in PMUY: Oil marketing interests often outweigh beneficiary affordability.
    3. Social barriers: Gender norms and cultural practices limit uptake of clean fuel and sanitation.
    4. Output vs. outcome gap: Programmes measure immediate coverage but not long-term health-climate impact.

    What framework does India’s experience suggest for climate-health governance?

    1. Strategic prioritisation: Frame climate action as immediate health security, not distant environmental risk.
    2. Procedural integration: Embed health impact assessments into energy, transport, and urban policies.
    3. Participatory implementation: Leverage ASHA workers, SHGs, Panchayats as health-climate advocates.

    Why is this vision critical for the future?

    1. High stakes: Delinking climate and health crises leads to fragmented solutions with escalating costs.
    2. Transformative potential: An intersectoral, whole-of-society approach could position India as a global leader in climate-health governance.
    3. Clear choice: Continue piecemeal efforts or pioneer a bold model aligning welfare with planetary health.

    Conclusion

    India’s welfare architecture has shown that policies designed for social welfare can unintentionally become climate-health interventions. The challenge now is to make this synergy intentional and institutionalised, with robust political framing, procedural integration, and community mobilisation. At a time when the world is drafting a global climate-health action plan, India’s absence from the table is a wake-up call: to convert scattered lessons into a coherent model of governance that others can emulate.

    Value Addition

    Key Concepts

    1. Climate-Health Nexus: Environmental policies often have unintended health impacts; health policies also influence climate outcomes.
    2. Co-Benefits Approach: One intervention (e.g., PMUY for clean cooking fuel) yields multiple dividends (better health, women’s empowerment, reduced emissions).
    3. Whole-of-Society Approach: Intersectoral coordination between ministries, communities, and local bodies ensures impact.
    4. Output vs Outcome Gap: Many Indian schemes achieve outputs (LPG connections, toilets built) but outcomes (sustained use, cleaner air, health equity) remain weak.

    Important Data / Reports

    1. WHO Report (2021): Air pollution causes 7 million premature deaths annually worldwide.
    2. Lancet Countdown on Health and Climate Change (2022): South Asia faces one of the highest global burdens of climate-related health risks.
    3. India’s National Family Health Survey (NFHS-5, 2021): Despite welfare schemes, 35.5% of children under 5 are stunted and 32.1% are underweight, showing links between nutrition, climate resilience, and health.
    4. UNDP (2023): Every $1 invested in resilience and adaptation yields $4 in avoided losses.
    5. Global Conference on Climate & Health (Belém Plan, 2025): First global blueprint on climate-health integration.

    PYQ Linkage:

    [UPSC 2017] ‘Climate Change’ is a global problem. How India will be affected by climate change? How Himalayan and coastal states of India will be affected by climate change?

    Linkage: India’s welfare schemes like PM POSHAN, PMUY, Swachh Bharat and MNREGA demonstrate that non-health interventions can mitigate climate impacts while improving public health. The Himalayan and coastal states, most vulnerable to warming, floods, and sea-level rise, can benefit from such intersectoral, resilience-building models. Thus, India’s climate-health vision provides practical pathways to address both regional vulnerabilities and national climate commitments.

  • Gaganyaan Analog Experiments (Gyanex)

    Why in the News?

    Gyanex (Gaganyaan Analog Experiments) ground-based astronaut simulations are being conducted by ISRO with ICMR and Institute of Aerospace Medicine, Bengaluru, to prepare Indian astronauts for the 2027 Gaganyaan mission.

    What are Gaganyaan Analog Experiments (Gyanex)?

    • Purpose: India’s first systematic programme in space medicine and astronaut psychology, preparing protocols for Gaganyaan and future missions like space stations and lunar expeditions.
    • Setup: Conducted at the Institute of Aerospace Medicine, Bengaluru, with ICMR support. Astronauts and defence personnel live in a mock spacecraft simulator under confinement, consuming DRDO-developed space food.
    • Activities: Strict space-like routines involving scientific experiments, resource management, schedules, and limited supplies. Tests also cover communication with time-delay simulation.
    • Gyanex-1: Group Captain Angad Pratap and two others confined for 10 days; completed 11 experiments on psychology, biomedicine, and communications.
    • Microgravity Simulation: Weightlessness cannot be reproduced on Earth; instead, 7-day bed-confinement at 6° head tilt studied microgravity effects.
    • Other Indian Analog Missions:
      • Ladakh Human Analog Mission (Nov 2024): Simulated interplanetary survival in cold, barren terrain.
      • HOPE Habitat at Tso Kar (Aug 2025): Tested 8 m habitat + 5 m utility module in Mars-like conditions of low pressure, saline permafrost, and high UV radiation.

    About Gaganyaan Mission:

    • Overview: India’s first human spaceflight mission, initiated in 2007, to send 3 astronauts into Low Earth Orbit (400 km) for 3 days, followed by Arabian Sea splashdown.
    • Rocket: Human-Rated LVM3 (HLVM3), adapted from GSLV Mk3, certified in 2025 for safe human use.
    • Significance: India to become the 4th nation (after US, Russia, China) with crewed spaceflight capability.
    • Latest Timeline (as of Sept 2025):
      • Dec 2025: First uncrewed mission (G1) with humanoid Vyommitra.
      • 2026: Two more uncrewed flights for life-support, avionics, and escape tests.
      • Early 2027: First crewed mission – 3 astronauts in orbit for 3 days.
    • Progress so far:
      • 80–85% development complete: avionics, parachutes, crew safety systems validated.
      • Integrated Air Drop Test (Aug 2025): Confirmed crew module deceleration.
      • Crew Escape System: Multiple ground and flight tests successful.
      • Recovery: Indian Navy and Australian Space Agency conducting splashdown drills.
      • Four IAF test pilots shortlisted: Shubhanshu Shukla, Prasanth Balakrishnan Nair, Angad Pratap, Ajit Krishnan.
      • All trained in Russia, now in advanced Indian training. Final crew of three will be chosen for maiden flight.
    [UPSC 2016] Consider the following statements: The Mangalyaan launched by ISRO

    1. is also called the Mars Orbiter Mission

    2. made India the second country to have a spacecraft orbit the Mars after USA

    3. made India the only country to be successful in making its spacecraft orbit the Mars in its first attempt.

    Select the correct answer using the code given below:

    Options: (a) 1 only (b) 2 and 3 only (c) 1 and 3 only * (d) 1, 2 and 3

     

  • Ecological Impact of the ELSA 3 Shipwreck in the Arabian Sea

    Why in the News?

    The sinking of the ELSA 3 ship off the Kerala coast in May led to a significant ecological disruption in the south-eastern Arabian Sea, a new study has confirmed.

    Ecological Impact of the ELSA 3 Shipwreck in the Arabian Sea

    About the Pollution and Contaminants:

    • Oil Slick: Wreck of ELSA 3 released petroleum pollutants, initially forming a slick of about 2 square miles.
    • Polyaromatic Hydrocarbons (PAHs): Compounds like naphthalene, fluorene, anthracene, phenanthrene, fluoranthene, pyrene detected; toxic, carcinogenic, and bioaccumulative.
    • Naphthalene Marker: High levels confirmed continuous leakage from fuel tanks.
    • Trace Metals: Nickel, lead, copper, vanadium found in elevated levels in water and sediments, worsening toxicity.
    • Distribution: Oil spread shifted with sea turbulence—first mid-depth concentration, later visible on the surface.

    Ecological Impacts of the Oil Spill:

    • Plankton: Zooplankton showed pollutant accumulation, marking entry into the marine food chain.
    • Fish Eggs & Larvae: Collected in the southwest monsoon spawning season displayed decay and mortality, threatening commercial species recruitment.
    • Benthic Organisms: Sensitive species declined within days; only pollution-tolerant worms and bivalves survived, reflecting seabed stress.
    • Higher Fauna: Brown Noddy seabird (Anous stolidus) recorded with oil-soaked plumage, highlighting risks to birds and larger marine life.
    • Overall Effect: A multi-level disruption from plankton to fish stocks to seabirds.

    Microbial Response and Bioremediation:

    • Bacterial Diversity: Metagenomic studies found hydrocarbon-degrading bacteria near the wreck.
    • Key Strains: Neptunomonas acidivorans, Halomonas tabrizica, Acinetobacter baumannii detected.
    • Implications: Their presence reflects both severe contamination and natural bioremediation potential.
    • Outlook: Microbial action may reduce pollution gradually, but contamination in the Arabian Sea remains significant.
    [UPSC 2017] In the context of solving pollution problems what is/are the advantage/disadvantages of bioremediation technique?

    1. It is a technique for cleaning up pollution by enhancing the same biodegradation process that occurs in nature.

    2. Any contaminant with heavy metals such as cadmium and lead can be readily and completely treated by bioremediation using microorganisms.

    3. Genetic engineering can be used to create microorganisms specifically designed for bioremediation.

    Select the correct answer using the code given below:

    Options: (a) 1 only, (b) 2 and 3 only, (c) 1 and 3 only* (d) 1, 2 and 3

     

  • [19th Septmeber 2025] The Hindu Op-ed: Equalising Primary Food Consumption in India

    PYQ Relevance

    [UPSC 2019] What are the reformative steps taken by the Government to make food grain distribution system more effective?

    Linkage: The article’s proposal to restructure the PDS by trimming excess cereal entitlements and expanding pulse distribution directly links with UPSC 2019’s question. It highlights how reformative steps—like targeted subsidies, rationalised stocking by FCI, and focus on nutritional security beyond cereals—can make the food grain distribution system more effective. Thus, it connects poverty reduction with sustainable and equitable food security reforms.

    Mentor’s Comment

    The recent NSS household consumption survey, coupled with World Bank estimates, has painted a contrasting picture of India’s poverty and food deprivation. While global narratives celebrate the near-eradication of extreme poverty, ground-level consumption data tells a more sobering story, half of rural India still struggles to afford two simple thalis a day. This article unpacks the deeper meaning of food security beyond calorie intake, critiques the existing Public Distribution System (PDS), and explores how restructuring subsidies, especially towards pulses, can equalise food consumption in India. For UPSC aspirants, the debate is not only about statistics but also about welfare priorities, distributional justice, and the role of the state in ensuring dignified living standards.

    Introduction

    India has long battled poverty and hunger, but the release of the 2024 NSS Household Consumption Survey and the World Bank’s Poverty and Equity Brief (2025) has reshaped the debate. The World Bank report claims that extreme poverty has fallen from 16.2% in 2011-12 to just 2.3% in 2022-23, a historic achievement if true. Yet, when food consumption is measured through the “thali index” rather than calorie-based poverty lines, stark disparities emerge: 50% of rural India and 20% of urban India could not afford two thalis a day in 2023-24. This contradiction raises a crucial policy question—how can India ensure not just calorie intake but nutritional adequacy and equal access to primary food consumption?

    The contrasting narratives of poverty in India

    1. World Bank Estimate: Extreme poverty has “virtually disappeared,” with only 2.3% living below $2.15/day.
    2. Thali Index Reality: Despite rising incomes, half of rural India could not afford two balanced meals (thalis) daily in 2023-24.
    3. Deprivation Gap: The difference arises because food is residual expenditure after households spend on essentials like rent, health, and transport.

    Why measure poverty through the thali meal?

    1. Beyond Calories: Traditional poverty lines only measure calorific intake, ignoring nutrition and satisfaction.
    2. Balanced Meal: A thali (rice, dal, roti, vegetables, curd, salad) represents a self-contained, nutritious unit of food consumption.
    3. Cost Factor: Crisil estimates a home-cooked thali costs ₹30. Many households fall short of affording even two thalis/day per person.

    How effective is the Public Distribution System?

    1. Food Deprivation with PDS: Even after including PDS food supplies, deprivation persists—40% rural and 10% urban cannot afford two thalis daily.
    2. Subsidy Distribution: In rural India, a person in the 90–95% expenditure class receives 88% of the subsidy given to the poorest 5%, despite much higher consumption capacity.
    3. Urban Progressivity: The PDS is more progressive in urban areas, but still, 80% receive subsidised or free food, including those not in need.

    Why are cereals not enough

    1. Equalised Cereal Consumption: Both the poorest and richest consume similar amounts of rice and wheat, showing PDS success but also its limits.
    2. Expenditure Share: Cereals now account for only 10% of average household expenditure, so increasing cereal subsidy has diminishing returns.
    3. Need for Protein: Pulses consumption is half in the poorest 5% compared to the richest 5%, highlighting protein inequality.

    Policy path: Equalising food consumption through pulses

    1. Expand PDS Coverage: Redirect subsidies towards pulses, the main protein source for many Indians.
    2. Rationalise Cereals Subsidy: Trim excess rice/wheat entitlements, especially for better-off groups, reducing stocking costs for FCI.
    3. Compact and Targeted PDS: By focusing on pulses and eliminating subsidies beyond the “two thali/day” norm, the system becomes both cost-effective and equitable.
    4. Global Significance: Achieving equalised food consumption across social classes would be a unique welfare success story worldwide.

    Conclusion

    The thali index reveals a hidden crisis of food deprivation that headline poverty numbers obscure. While cereal consumption has been equalised through decades of PDS efforts, the next frontier lies in ensuring protein security via pulses distribution. Rationalising subsidies and targeting them effectively can not only optimise public spending but also equalise primary food consumption across India, a feat that would stand as a benchmark in global welfare policy.

  • How the DeepSeek-R1 AI model was taught to teach itself to reason

    Introduction

    Reasoning, the ability to reflect, verify, self-correct, and adapt, has historically been considered uniquely human. From mathematics to moral decision-making, reasoning shapes every facet of human civilisation. Large language models (LLMs) like GPT-4 have shown glimpses of reasoning, but these were achieved with human-provided examples, introducing cost, bias, and limits. In September 2024, researchers at DeepSeek unveiled their model R1, which demonstrated reasoning through reinforcement learning (trial and error with rewards), without supervised fine-tuning. This represents a paradigm shift in how machines may learn, reason, and potentially evolve intelligence.

    Why is DeepSeek-R1 in the News?

    For the first time, an AI model has taught itself to reason without human-crafted examples. The results were dramatic: DeepSeek-R1 improved from 15.6% to 86.7% accuracy in solving American Invitational Mathematics Examination (AIME) problems, even surpassing the average performance of top human students. It also demonstrated reflection (“wait… let’s try again”) and verification—human-like traits of reasoning. The scale and quality of progress mark this as a milestone in AI research, contrasting sharply with traditional methods that heavily relied on human-labelled data.

    What is Reinforcement Learning in AI?

    1. Definition: Reinforcement learning (RL) is a trial-and-error method where a system receives rewards for correct answers and penalties for wrong ones.
    2. DeepSeek’s Application: Instead of providing reasoning steps, the model was only rewarded for correct final answers.
    3. Outcome: Over time, R1 developed reflective chains of reasoning, dynamically adjusting “thinking time” based on task complexity.

    How Did DeepSeek-R1 Achieve Self-Reasoning?

    1. R1-Zero Phase: Started with solving maths/coding problems, producing reasoning inside <think> tags and answers in <answer> tags.
    2. Trial-and-Error Learning: Wrong reasoning paths were discouraged, correct ones reinforced.
    3. Emergence of Reflection: Model started using “wait” or “let’s try again,” indicating self-correction.

    What Were the Major Successes?

    1. Mathematical Benchmarks: R1-Zero improved from 15.6% to 77.9%, and with fine-tuning, to 86.7% on AIME.
    2. General Knowledge & Instruction Following: 25% improvement on AlpacaEval 2.0 and 17% on Arena-Hard.
    3. Efficiency: Adaptive thinking chains—shorter for easy tasks, longer for difficult ones—conserving computational resources.
    4. Alignment: Improved readability, language consistency, and safety.

    What Are the Limitations and Risks

    1. High Energy Costs: Reinforcement learning is computationally expensive.
    2. Human Role Not Fully Eliminated: Open-ended tasks (e.g., writing) still require human-labelled data for reward models.
    3. Ethical Concerns: Ability to “reflect” raises risks of generating manipulative or unsafe content.
    4. Need for Stronger Safeguards: As AI reasoning grows, so does the risk of misuse.

    Why Does this Matter for the Future of AI?

    1. Reduces Dependence on Human Labour: Cuts costs and addresses exploitative conditions in data annotation.
    2. Potential for Creativity: If reasoning can emerge from incentives, could creativity and understanding follow?
    3. Shift in AI Training Paradigm: From “learning by example” to “learning by exploration.”
    4. Global Implications: Impacts education, coding, mathematics, governance, and ethics of AI.

    Conclusion

    DeepSeek-R1 marks a turning point in AI evolution. By demonstrating reasoning through reinforcement learning alone, it challenges the notion that human-labelled data is indispensable. Yet, this very capability opens new debates—about creativity, autonomy, and control. For policymakers and citizens alike, the task is to harness AI’s promise while ensuring safety, fairness, and ethical integrity.

    PYQ Relevance:

    [UPSC 2023] Introduce the concept of Artificial Intelligence (AI). How does Al help clinical diagnosis? Do you perceive any threat to privacy of the individual in the use of Al in healthcare?

    Linkage: The breakthrough of DeepSeek-R1 shows how AI can now reason through reinforcement learning without human-labelled data, making it more efficient and adaptive. Such reasoning ability can enhance clinical diagnosis by enabling AI to self-correct and refine decision-making in complex medical cases. However, as with healthcare AI generally, the privacy threat persists if sensitive patient data is fed into models without strong safeguards.

  • What is PM MITRA Park?

    Why in the News?

    Prime Minister recently laid the foundation stone for India’s first PM MITRA (Mega Integrated Textile Region and Apparel) Park in Dhar, Madhya Pradesh.

    About PM MITRA Scheme:

    • Overview: Introduced by the Ministry of Textiles in 2021, the scheme aims to strengthen India’s textile sector by creating 7 world-class integrated parks.
    • Concept: Designed on the vision Farm to Fibre to Factory to Fashion to Foreign, each park consolidates the entire textile value chain—spinning, weaving, dyeing, processing, printing, and garment-making—within a single ecosystem.
    • Sites Selected: Tamil Nadu (Virudhunagar), Telangana, Karnataka, Maharashtra, Gujarat, Madhya Pradesh (Dhar), and Uttar Pradesh (Lucknow).
    • Timeline: All parks are targeted to be established by 2026–27, with each covering around 1,000+ acres.
    • Implementation Structure:
      • Special Purpose Vehicle (SPV): Each park will be developed by an SPV jointly owned by the Centre and State Governments, operating in Public–Private Partnership (PPP) mode.
      • Development Capital Support (DCS): Up to ₹500 crore per park provided by the Centre to SPVs.
      • Competitive Incentive Support (CIS): Up to ₹300 crore per park offered to manufacturing units to encourage rapid implementation.

    Key Features and Benefits:

    • Integrated Value Chain: All stages of textile production are located in one hub, reducing transport costs, delays, and inefficiencies.
    • World-Class Infrastructure: Includes incubation centres, design/testing labs, effluent treatment plants, reliable utilities, logistics facilities, and worker hostels.
    • Employment Generation: Each park expected to create ~1 lakh direct and ~2 lakh indirect jobs, especially benefiting women and rural youth.
    • Investment Boost: Scheme aims to attract over ₹70,000 crore in investments in the textile sector.
  • Govt to push Geothermal Pilots under New Policy

    Why in the News?

    The Ministry of New & Renewable Energy (MNRE) has launched its first National Policy on Geothermal Energy, aiming to create a regulatory and developmental framework for tapping geothermal resources.

    Govt to push Geothermal Pilots under New Policy

    India’s Geothermal Policy, 2025: Key Highlights

    • Launch: India’s first National Policy on Geothermal Energy was officially notified in September 2025 by the Ministry of New and Renewable Energy (MNRE).
    • Alignment with Goals: The policy is designed to support Net Zero by 2070, dovetailing with India’s renewable energy targets.
    • Scope: Applies to both power generation and direct-use applications such as district heating, agriculture, aquaculture, spa tourism, and industrial cooling.
    • Implementation Agency: MNRE is the nodal agency; other ministries, state governments, oil & gas firms, and academic institutions will collaborate.
    • Financial & Regulatory Support:
      • Tax incentives, grants, concessional financing, long-term leases (up to 30 years).
      • Viability Gap Funding (VGF) to offset high upfront costs (₹36 crore per MW).
      • Open access waivers, must-run status, and parity with other renewables.
    • Repurposing Wells: A strong focus on repurposing abandoned oil & gas wells for geothermal energy; MNRE already working with ONGC, Vedanta Ltd’s Cairn Oil & Gas, Reliance.
    • Global Collaboration: Partnerships with Iceland, Norway, US, and Indonesia for R&D, Enhanced Geothermal Systems (EGS) and Advanced Geothermal Systems (AGS).
    • Pilot Projects: Five sanctioned projects for resource assessment and demonstration across multiple regions.

    Geothermal Energy Scenario in India:

    • Potential: Estimated at 10.6 GW (10,600 MW), as identified by the Geological Survey of India (GSI).
    • Mapping: Over 381 hot springs mapped with surface temperatures ranging 35°C – 89°C.
    • Global Context: According to the International Energy Agency (IEA), India, US, and China together account for 75% of global potential for next-gen geothermal.
    • Projects & Status:
      • NO grid-connected geothermal plants yet; focus is on pilot, demo, and R&D projects.
      • 20 kW pilot binary-cycle plant commissioned at Manuguru, Telangana.
      • Ongoing pilots: Puga (Ladakh), Chhumathang (Ladakh), Cambay (Gujarat), Barmer (Rajasthan).
      • IIT Madras + Vedanta project: retrofitting abandoned oil wells in Barmer to generate 450 kWh of electricity.
    • Future Roadmap:
      • 10 GW target by 2030, ~100 GW potential by 2045.
      • Vision 2047: Viksit Bharat, hybrid solar-geothermal projects, and heating for cold regions (Ladakh, NE, Andamans).

    Govt to push Geothermal Pilots under New Policy

    Major Geothermal Sites in India

    Region/State Site/Province Key Features & Notes
    Ladakh (Himalayan Province) Puga Valley High-temperature hot springs; identified by US ITA (2024) as most promising; pilot projects underway.
    Chhumathang Similar potential as Puga; targeted for power generation and direct heating applications.
    Himachal Pradesh Manikaran Popular hot spring zone; suitable for pilot geothermal plants and tourism-linked heating.
    Satluj, Beas, Spiti Valleys Multiple geothermal spots mapped by GSI; moderate-to-high potential.
    Uttarakhand Tapoban & Alaknanda Valley Himalayan geothermal systems; identified for research and pilot use.
    Gujarat Cambay Graben Abandoned oil wells available for repurposing (ONGC, Reliance, Vedanta pilots).
    Lasundra (Vadodara) Known hot spring site; potential for direct-use applications.
    Chhattisgarh Tattapani Field Well-studied geothermal site; suitable for direct heat use and demonstration projects.
    Jharkhand / West Bengal Damodar Valley Identified geothermal prospects; part of GSI mapping.
    Surajkund (Jharkhand) Among hottest springs in India (85–87°C).
    Andaman & Nicobar Islands Volcanic geothermal fields High geothermal promise; strategic as islands rely on costly power (₹30–32/unit → could drop below ₹10–11).
    Telangana Manuguru 20 kW pilot binary-cycle geothermal power plant commissioned.
    Other States Madhya Pradesh, Odisha, Maharashtra, Meghalaya Multiple small hot spring clusters mapped by GSI; low-to-moderate potential.

     

    [UPSC 2013] Consider the following:

    1. Electromagnetic radiation

    2. Geothermal energy

    3. Gravitational force

    4. Plate movements

    5. Rotation of the earth

    6. Revolution of the earth

    Which of the above are responsible for bringing dynamic changes on the surface of the earth?

    (a) 1, 2, 3 and 4 only (b) 1, 3, 5 and 6 only (c) 2, 4, 5 and 6 only (d) 1, 2, 3, 4, 5 and 6 *