M. Suresh Babu: “[An] insight from Solow’s life and research is the value of intellectual and professional commitment to students through active mentorship. In his own words: “You only have really good ideas once in a while. I would rather teach a really bright student than write a mildly interesting paper.” According to MIT News: “When it came to teaching undergraduates, Solow would annually tear up his old lecture notes, and force himself to re-examine how he was presenting material to them. As a graduate advisor, Solow would put in long hours providing detailed feedback to students about their research papers.” Solow’s decades-long interaction with Paul Samuelson also provides an example of how important it is to engage with colleagues to improve scholarship and research. A commitment to students and teaching, as also to open-minded discussions in a collegial atmosphere, was among the fine examples he set that Indian academia must learn from.”
Technology Review: “The internet changed everything—how we work and play, how we spend time with friends and family, how we learn, how we consume, how we fall in love, and so much more. But it also brought us cyber-bullying, revenge porn, and troll factories. It facilitated genocide, fueled mental-health crises, and made surveillance capitalism—with its addictive algorithms and predatory advertising—the dominant market force of our time. These downsides became clear only when people started using it in vast numbers and killer apps like social media arrived. Generative AI is likely to be the same. With the infrastructure in place—the base generative models from OpenAI, Google, Meta, and a handful of others—people other than the ones who built it will start using and misusing it in ways its makers never dreamed of…Generative AI was trained on the internet and so has inherited many of its unsolved issues, including those related to bias, misinformation, copyright infringement, human rights abuses, and all-round economic upheaval. But we’re not going in blind. Here are six unresolved questions to bear in mind as we watch the generative-AI revolution unfold.”
Michael Munger: “ChatGPT is happening. People are rapidly learning how to use it. For many routine tasks — and, honestly, most writing is routine, not creative — it is faster and actually better to have the AI create the text, at least for the first draft. Or to have the AI create 5 or more versions of a text so that you can pick one and then edit that. Does this mean that we as a society will value writing less? Does it mean that the people — and I’d include myself, writing this right now! — who “make a living” writing are going to have to rethink our choices? Does it mean that 20 years from now we will look back, with 2020 hindsight, and say that the opposition to AI natural language applications was misplaced? I think the answer to all these questions may be “yes.” Deal with it.”
Amartya Lahiri: “India’s jobs problem is real. With a median population age of 28, the problem will only get worse over time unless things change quickly. The country needs to combine the manufacturing and service sector models. It needs to go beyond the PLI schemes by incentivising private industry to scale up. Key for this are land and labour regulatory reforms. The good news is that these are fiscally costless though they do entail political costs. At the same time, India needs to address its skill deficit by raising its investment in higher education. India’s demographic dividend will become a demographic curse if the country fails to create relatively high value-added jobs at scale. It needs to act quickly and comprehensively.”