Wednesday, February 12, 2025

Why are the dhobis of IIT Kanpur being punished?

After all these years, IIT Kanpur, a national institution of significance, has finally decided to label the dhobi community, who have been providing affordable, convenient, and regular laundry services to the campus community and students for over 60 years, as unauthorized residents. The institute has now decided to evict them from their homes, warehouses, and washing areas.

Did the dhobis suddenly occupy the land within IIT Kanpur, a place where even birds supposedly consult with the administration before building their nests? No. It was IIT itself that invited them to work on campus and provided them with space to operate. Since laundry work resembles a cottage industry, the institute also provided them with housing. Did these dhobis build their own houses? No, IIT built those homes for them—just as it did for its teachers and staff. The difference is that teachers and staff receive hefty salaries during their service and retire with generous pensions and gratuities. They eventually vacate their quarters and lead a respectful life elsewhere.

Meanwhile, these dhobis still pick up clothes from homes and student rooms at just ₹10 per item, wash them, and return them clean.

Despite this, the dhobis are being humiliated, labeled unauthorized, and evicted. Granted, many of the original allottees are no longer alive. But does that alone render their families unauthorized? In our country, a dhobi is not just an individual but a family, a community. Those who fail to understand this social reality, regardless of their academic prowess or official status, are socially ignorant. In India, people do not choose to become dhobi voluntarily; they are born into it, much like the Valmiki community members who also struggle to find alternative work.

The dhobi community living in IIT Kanpur is no different. Entire families work together—elders, children, men, and women. Some wash clothes, some iron, some dry them, some oversee operations, some collect clothes, and others distribute them. Everyone works collaboratively. By allotting houses in the name of the male head of the household, IIT demonstrated its patriarchal mindset. If the man is no longer present, does that mean the work of washing clothes has ceased? The family continues to do the same work as before.

The IIT administration claims that these houses are now unfit for habitation. Wasn't it the administration's responsibility to maintain and repair them periodically? Why did IIT never consider building proper toilets or workspaces for these dhobis? Is this the standard in other departments of the institute? Absolutely not. So why has this discriminatory treatment been meted out to the dhobi community, both then and now?

Granted, IIT needs space for expansion. But must the weakest and most marginalized community within the campus be sacrificed for this growth? Where will these dhobi families go after being displaced? What will happen to their work? How will their families sustain themselves?

Shouldn't a institution of national and international significance consider these questions? If such an institution cannot value and support the weakest and most marginalized members of its community, its talk of nation-building becomes hollow.

Is this the fate these families, who have served the community for decades, deserve—humiliation and eviction? What crime have they committed?

Does IIT Kanpur bear no social responsibility?

Why can't IIT make alternative arrangements for these families? Or why can't it provide compensation for forcing them to abandon their established livelihoods and face uncertainty? Don't these families deserve at least this much?

Will IIT simply discard these families like used tissue to fulfill its aspirations?

By doing so, IIT will only reveal its casteist mindset.

आई आई टी कानपुर के धोबी किस बात की सजा पा रहे हैं?

आखिरकार राष्ट्रीय महत्व के एक निगमित निकाय आई आई टी कानपुर ने पिछले साठ साल से कैम्पस समुदाय व छात्रों को अपनी सस्ती, सुविधाजनक व नियमित सेवाएं दे रहे धोबी समुदाय के लोगों को अनाधिकृत करार देते हुए उन्हें अपने घरों, गोदामों व हौज से बेदखल करने का फैसला सुना ही दिया। 

क्या धोबी समुदाय ने एक दिन अचानक से आकर आई आई टी, जहां परिंदे भी प्रशासन से सलाह-मशविरा करके अपने घोंसले बनाते हैं, के अंदर जमीन को कब्जा लिया और अपने घर,गोदाम और हौज बना लिये? नहीं; स्वयं आई आई टी ने उन्हें कैंपस में बुलाकर काम करने की जगह दी व चूंकि धोबियों का काम एक कुटीर उद्योग सरीखा है उन्हें रहने के लिए जगह भी दी। क्या ये घर धोबियों ने बनाए? नहीं; आई आई टी ने बनाकर दिये। ठीक वैसे ही जैसे आई आई टी ने अपने शिक्षकों, कर्मचारियों को दिये। फर्क इतना है कि आई आई टी के शिक्षक व कर्मचारी काम के दौरान मोटी-मोटी तनख्वाह पाते हैं व मोटी-मोटी पेंशन व ग्रेच्युटी पाकर सेवानिवृत्त हो जाते हैं। आई आई टी के अपने क्वाटर्स छोड़कर चले जाते हैं, कहीं और सम्मान के साथ जीवन यापन करने। 

और ये धोबी आज भी 10 रुपये प्रति कपड़े की दर से लोगों के घरों, छात्रों के कमरों से कपड़े ले जाकर; उन्हें साफ सुधरा कर वापिस छोड़ आते हैं।  

पर इन धोबियों को अपमानित कर,उन्हें अनाधिकृत बना कर बेदखल किया जा रहा है। माना कि जिन लोगों के नाम पर क्वाटर्स आवंटित किए गये थे उनमें से अधिकतर नहीं रहे, लेकिन क्या मात्र इस बात से वे अनाधिकृत हो गये? हमारे देश में धोबी एक व्यक्ति नहीं,एक पूरा परिवार,एक पूरा समुदाय होता है। जो हमारे देश की यह हकीकत नही समझते वो भले ही कितने ही बड़े साहिब ही क्यूं ना हों, कितने ही धुरंधर अकादमिक तीरंदाज ही क्यूं ना हो, सामजिक तौर पर अनपढ़ हैं। हमारे देश में धोबी कोई अपनी मर्जी से नही बनता; पैदा होता है। ठीक बाल्मीकी साथियों की तरह, जिन्हें आसानी से दूसरा काम नहीं मिलता।

आई आई टी में रहने वाला धोबी समुदाय भी ठीक ऐसा ही है। पूरा परिवार धोबी का काम करता है। बड़े-बूढ़े, बच्चे, जवान, आदमी-औरत, सभी। कोई कपड़े धोता है, कोई ईस्त्री करता है, कोई सुखाता है, कोई निगरानी करता है, कोई समेटता है, कोई बांटता है। सब मिलजुलकर काम करते हैं। आई आई टी ने घर के बड़े पुरुष के नाम मकान जारी कर संस्थान की पुरुषवादी सोच का ही नज़ारा दिया है। और अगर ये पुरुष नही रहा तो कपड़े धोने का काम खत्म तो नही हो गया। वो परिवार अब भी वही काम कर रहा है, पहले की ही तरह। 

आई आई टी प्रशासन कहता है कि मकान अब रहने लायक नहीं। क्या आई आई टी प्रशासन की जिम्मेदारी नही थी कि इन मकानों की समय-समय पर मरम्मत की जाये? क्यूं आई आई टी ने कभी ये नहीं सोचा कि इन धोबियों की काम करने की जगह शौचालय बनाकर दिये जाएं? क्या संस्थान के विभागों में भी ऐसा ही है? बिल्कुल नही। क्यूं धोबी समुदाय के साथ ये सौतेला बर्ताव किया गया और अब भी किया जा रहा है?

माना कि आई आई टी को बढ़ने के लिये जगह की जरूरत है; पर क्या इसके लिये आई आई टी के अंदर रहने वाले सबसे कमजोर व पिछड़े वर्ग को ही बलिदान करना पड़ेगा? अपनी जगह से हटा देने के बाद धोबी परिवार कहां जाएंगे? उनके काम का क्या होगा? उनके घर-परिवार की रोजी-रोटी कैसे चलेगी? 

क्या राष्ट्रीय महत्व के एक निगमित निकाय को यह सब सोचना शोभा नही देता? अगर एक राष्ट्रीय महत्व का संस्थान अपने समुदाय के कमजोर व पिछड़े वर्ग को महत्व नहीं दे सकता तो राष्ट्र निर्माण की बात उसके मुंह से बेमानी लगती है।

क्या इतने दशकों से समुदाय के हित में काम कर रहे इन परिवारों का यही हाल होना था कि उन्हें अपमानित कर बेदखल किया जाए? किस अपराध में?  

क्या आई आई टी कानपुर की कोई सामाजिक जवाबदेही या सरोकार नही? 

आखिर क्यूं नहीं आई आई टी को इन सभी के लिये कोई वैकल्पिक व्यवस्था करनी चाहिये? या क्यूं नही आई आई टी को इन सभी परिवारों को अपना आज का बना-बनाया काम छोड़कर अनिश्चितता में हाथ-पैर मारने के एवज में मुआवजा देना चाहिये? क्या ये परिवार इतने के भी हकदार नहीं? 

क्या अपनी आकांक्षाओं को पूरा करने के लिये आई आई टी इन परिवारों को दूध में से मक्खी की तरह निकाल फेंक देगा? 

ऐसा करके आई आई टी अपनी जातिवादी मानसिकता का ही परिचय देगा।

Friday, January 10, 2025

Deploying artificial intelligence (AI) agents

 AI agents are inorganic systems that are specifically designed to mimic human intelligence. These systems are increasingly becoming smarter and more important to the extent that two of the Nobel Prizes awarded in the year 2024 were related to AI. The Nobel Prize in Chemistry was related to a crucial problem in biomedical research that aims to come up with better drugs for tackling diseases. 

 

We are interacting with such platforms on a day-to-day basis. It could be a web search for information; or a movie, or product suggested on our screens; or a command to our voice assistant. With the rise of generative AI apps like ChatGPT users are creating content for all sorts of things. Most of us who have either used or heard about the potential of AI are in awe of it. However, not all are aware of the requirements related to deploying such an agent. 

 

To understand end, let us take the example of BigScience Large Open-science Open-access Multilingual language model (BLOOM). It is a large language model (LLM) that is designed for natural language processing. Such models form the basis of generative AI chatbots like ChatGPT. Now, these models, before their deployment, go through extensive data exposure and training. For example, BLOOM is a 176 billion parameter model that was trained on 1.6 terabytes of data in 46 natural languages and 13 programming languages. The total training time was estimated to be almost 118 days. The total amount of energy consumed for training purposes alone was 433,196 kWh.

 

Let us put these numbers into perspective. At the rate of 100 kilobytes per page, 1.6 terabytes of data would amount to almost 18 million pages; which is almost equivalent to 56,667 books@300 pages per book. Concerning energy consumption, if we take a household in India that consumes 200 kWh of electricity per month, then 433,196 kWh would be equivalent to 180 years of electricity consumption. To this, if one adds the energy cost associated with: (i) data such as its sourcing, collection and processing; (ii) architecture engineering and model evaluation; and (iii) computing systems manufacturing including chips, material manufacturing and raw material extraction; then the total energy cost associated with a single LLM, even before deployment, is significant. The energy consumption post-deployment may be estimated by the fact that a simple keyword search on Google consumes around 0.3 kWh, whereas an LLM-based interaction can consume 10 times or even more.

 

It is no surprise that Sam Altman, the chief executive at OpenAI (ChatGPT fame), has described the cost of running the services as "eye-watering." Sundar Pichai, CEO of Google, commented that "one of the constraints for AI could be the infrastructure, including energy."

 

Other than energy requirement, the successful deployment of an AI agent is mainly limited by two important factors: computing power and data. One way to compare the computing power of different countries is to look at the number of supercomputers each country has. If we go by the world’s top five economies, then the US has the largest 34.6% of supercomputers, followed by China (12.6%), Germany (8.0%), Japan (6.8%), and India (1.2%). Regarding the availability of data in India, MeitY's 2019 report states, “A large amount of data exists today in a plethora of sectors. However, it mostly resides in stand-alone mode without it being used effectively. Even when it is used, it gets used only in silos. Many times, data integration across sectors produces spectacular benefits, which are missed.” In these times, data is seen as a new form of wealth, like oil and gas. Most of it, belonging to Indian internet users, is stored on foreign servers. Despite being in the top five economies, we are far behind other countries in terms of computing power and data. Bridging this gap has huge financial implications. However, these implications are not just financial in nature.

 

As we have seen earlier, the energy costs associated with an AI agent are significant. As per IEA, in the year 2022, energy-related global CO2 emissions rose by 1.1% to a level which is more than 37 billion metric tons. This increase in emissions comes at a time when the world’s population is feeling the effect of climate change in one form or another. In the context of Assam, the effect of floods is steadily increasing the number of people affected, and tea growers are increasingly facing uncertainties related to rainfall. The growing thrust toward expanding the reach and bounds of AI-related technology may be substantial in the near future. More so, in countries like ours that are lagging behind for the time being.

 

Apart from that with the increase in productivity of labour owing to AI, the world is already seeing the replacement of working masses with that of AI. Alphabet CEO, Sundar Pichai has publiclyaccepted that 25% of the code in Google is being written by AI. It is no surprise that as a result, many tech giants including Google, and Amazon have paused hiring in India. The British Telecommunication giant BT announced in 2023 that it is “going to replace 10,000 workers with AI as part of a wider cull of up to 55,000 staff in a bid to slash costs”. All this would certainly affect each one of us in this connected world.

 

Let us see what Geoffrey Hinton, one of the godfathers of AI, has to say about the future. For his pathbreaking work concerning AI systems, he was awarded the Nobel Prize in Physics in 2024. He put forth his concerns as “There is enormous uncertainty about what is going to happen next!... It may be that we look back and see this as a turning point when humanity had to make the decision about whether to develop these things further and what to do to protect themselves if they did.” 

 

One thing that should be clear to any concerned citizen of the world is that, at the core of it, the present AI race is fuelled by the lack of trust among, and the insecurities of, the powerful countries of the world, along with large corporations’ ever-expanding desire for market share and profits. And, with these emotions and interest in the driving seat, can we dream of a better world?



Last Monday Jan 6, 2025, an edited version of the same got published in the Assam Tribune.