All the important news from the ongoing India AI Impact Summit

4:20 PM IST · February 20, 2026

With an eye toward luring more AI investment to the country, India is hosting a four-day AI Impact Summit this week that will be attended by executives from major AI labs and Big Tech, including OpenAI, Anthropic, Nvidia, Microsoft, Google, and Cloudflare, as well as heads of state. The event, which expects 250,000 visitors, will see Alphabet CEO Sundar Pichai, OpenAI CEO Sam Altman, Anthropic CEO Dario Amodei, Reliance Chairman Mukesh Ambani, and Google DeepMind CEO Demis Hassabis in attendance. India’s prime minister, Narendra Modi, is scheduled to deliver a speech with French President Emmanuel Macron on Thursday. Here are all the key updates from the event: Drop 12/14: Models, products, impact – today something different, very different. Launching Sarvam Kaze, our foray into getting our models into the your hands with our devices – designed and built here in India!pic.twitter.com/8RnqO16Idg

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Adaption aims big with AutoScientist, an AI tool that helps models train themselves

For years, AI researchers have anticipated the moment when AI systems will be able to improve themselves better than humans could. With investors pouring money into a new generation of research-driven AI labs, there are more resources than ever available to pursue the goal. Now, one of those neolabs has taken a major step towards making it real. On Wednesday,Adaptionintroduced a new product calledAutoScientistthat helps models learn specific capabilities quickly by using an automated approach to conventional fine-tuning. The techniques are applicable to a wide range of fields, but the Adaptation team is particularly focused on the potential for speeding up and easing the process of training and fine-tuning a frontier-level AI model. According to co-founder and CEO Sara Hooker, who previously worked as VP of AI research at Cohere, AutoScientist represents a new way to approach the AI training process. “What’s super exciting about it is that it co-optimizes both the data and the model, and learns the best way to basically learn any capability,” Hooker told TechCrunch. “It suggests we can finally allow for successful frontier AI trainings outside of these labs” AutoScientist builds on the company’s existing data offering,Adaptive Data, which aims to make it easier to build high-quality datasets over time. AutoScientist, meanwhile, is designed to turn those continuously improving datasets into continuously improving AI models. “Our view at Adaption is that the whole stack should be completely adaptable, and should basically optimize on the fly to whatever task you have,” Hooker says. Of course, that approach will only be as good as the results. In its launch materials, Adaption boasts that AutoScientist has more than doubled win-rates across different models — impressive numbers, but difficult to put into context. Since the system is built to adapt models to specific tasks, conventional benchmarks like SWE-Bench or ARC-AGI aren’t applicable. Still, Adaption is confident that users will see the difference once they try AutoScientist out — so confident that the lab is making the tool free to use for the first 30 days after its release. “The same way that code generation unlocked a lot of tasks, this is going to unlock a lot of innovation at the frontier of different fields,” Hooker says.

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