Google DeepMind’s India chiefs on the race to make AI cheaper, safer — and finally good at code

Google DeepMind's India leadership is prioritizing the development of more efficient AI models, specifically focusing on coding capabilities. The team is utilizing techniques like 'Matryoshka-inspired' transformers to reduce compute costs and improve performance for global applications.
Alphabet’s CEO Sundar Pichai’s admission in a New York Times podcast that Google is “falling a little behind” in AI coding tools has become one of the more pointed lines to emerge from the search giant’s leadership this year. It is also, it turns out, a fair question to put to the two executives who run Google DeepMind’s operations in India — a market the company increasingly treats as a proving ground for making its Gemini models cheaper, faster and more useful to build with.
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