Mustafa Suleyman, the CEO of Microsoft AI, stated on Wednesday during his first visit to India that the country is one of the fastest-growing markets for the company and that Bengaluru and Hyderabad are home to its best teams globally.
At the “Microsoft: Building AI Companions in India” event in Bengaluru, he was speaking.
“I’m proud that this is one of our fastest-growing markets. One of our strongest teams worldwide is based here (Microsoft India Development Centre, Bengaluru) and in Hyderabad, working on all parts of our stack. There are extremely talented engineers and developers here,” Suleyman told S. Krishnan, Secretary, Ministry of Electronics and Information Technology (MeitY), in a fireside chat on the future of AI and its possibilities.
Suleyman responded that we have never been able to develop technologies that are primarily about emotional quotient (EQ) in response to Krishnan’s query regarding EQ and if users will be able to keep anything private with AI.
“We’ve always been focused on their factuality, whether they have real-time information, and whether they’re bug-free. Now, we have a challenge as creators. What is the emotional tone of something like this? What are its values?” he said.
According to him, trust is about setting limits. He said that one of the things he thinks about a lot is what AI companions don’t question users about.
“What does it not remember? What does it refuse if you ask it to do something or talk about something? Those boundaries are how we establish trust in society, and I think it is super important that we proactively push that conversation out into the social world,” Suleyman said.
In order to obtain a variety of viewpoints, he continued, the organization is progressively enlisting the help of social scientists, psychiatrists, therapists, screenwriters, and comedians.
“That’s an opportunity for us to synthesize more diverse perspectives and get a broader picture of people involved in the design iteration process,” he said.
He claimed that just as the internet makes information easily accessible, artificial intelligence will do the same. “Synthesized, distilled, and individually tailored to your preferred method of learning and application.”And it is just as true at business as it is at home,” he stated.
Microsoft Copilot is a chatbot that uses generative artificial intelligence. It debuted in 2023 as Microsoft’s main replacement for the defunct Cortana and is based on the GPT-4 series of big language models.
He claimed that Microsoft 365 Copilot already does a fantastic job of reasoning over work data. You can ask it any question, and it will provide you citations. He clarified, citing your supply chain data, HR records, excel sheets, documents, calendar, and email.
“So, this lowers the barrier of entry to making use of knowledge,” he said.
Making an important and valuable contribution to the workplace for many knowledge workers is fundamentally about getting access to useful information that you can act on, Suleyman said. “That is going to have profound economic benefit for many of our industries,” he said.
Voice is the ultimate way to make these tools accessible and available, he said. “So, investment in languages and translation is what I think governments should be making,” he said.
According to Krishnan of MeitY, India is funding the India AI Mission with $1.3 billion. Regarding the government’s intention to acquire 10,000 graphics processing units (GPUs), he stated that roughly $500 million is allocated to granting access to AI compute. He clarified that this is to allow researchers, startups, and private institutions to construct at a discounted fee.
Many startups and enterprises are aware of the vast amounts of data needed for post-training and fine-tuning, according to Suleyman. Krishnan responded that MeitY has an open data platform where different types of government databases are exchanged when asked what he thought about making more government data public to support that innovation.
“Under the India AI Mission, more anonymized datasets will be made available,” Krishnan informed Suleyman. Pretrained models are going to be largely commoditized, asserts Suleyman. They will be widely available via APIs and open source, he said.
The data that will be required for post-training, or the last stage of training to adapt the model to a specific use case, is actually very small, he revealed. “You only need a few hundred thousand examples of the good behavior that you’re trying your model to imitate or learn from at the post-training stage,” he explained.
“So, I expect to see hundreds of thousands of different types of agents with different types of expertise both linguistically but also (with) knowledge and grounding over different types of databases and knowledge corpuses. I expect to see many different types of those emerge over the next few years just with a small amount of high-quality training data,” Suleyman said.
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