India's best AI models are confidently wrong. Not occasionally — structurally. If you put two unrelated ideas into a prompt, the model will usually invent a connection rather than admit that none exists.

In this piece, The Ken's Debanjali Biswas traces what a five-month study of leading AI models — from OpenAI, Anthropic, and Google — actually found about how they reason. The results landed almost every model in what researchers are calling the "danger zone", which shows high confidence and low accuracy.

This is a read aloud of Debanjali's original story, by Rachel Varghese, on Daybreak.

📖 Read the full story on The Ken: This startup ranked AI models. They all landed in the danger zone

A two-year-old think tank backed by Adani just got 14 of its suggestions, some of them word for word, written into a law passed by Parliament. That law opened India's nuclear sector to private players for the first time in history. Months later, Adani floated a new subsidiary to enter the same field.

The think tank is called Chintan Research Foundation. It started in a South Delhi cafe. It calls itself independent. And it's now one of the more visible and contested players in Delhi's policy world.

So what exactly does Rs 100 crore buy you in India's policy ecosystem?

Also listen to: Friday Roundup: Adani goes nuclear and AI's talent exit

The Parle-G packet has cost five rupees since the 1990s. Once, when the company tried raising it by 50 paise, consumers switched to Britannia's Tiger within weeks. The price was rolled back. That's how sensitive this market is.

But something else has been changing — quietly, and without announcement. The packet that was once 100 grams is now 45. And Parle-G isn't alone. Dabur, Britannia, Nestlé, Godrej — all cutting weight, all in the same quarter, all for the same reason.

A war in West Asia has sent packaging costs up by 40 to 75%. The buffer won't last. What comes next?

Tune in.

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