OpenAI execs meet tech, policy groups to discuss India's data, AI landscape

Q: How long will it take to read this news story?

The story "OpenAI execs meet tech, policy groups to discuss India&#039;s data, AI landscape" has 609 words across 17 sentences, which will take approximately 3 - 6 minutes for the average person to read.

Q: Which news outlet covered this story?

The story "OpenAI execs meet tech, policy groups to discuss India&#039;s data, AI landscape" was covered 5 hours ago by Business Standard, a news publisher based in India.

Q: How trustworthy is 'Business Standard' news outlet?

Business Standard is a fully independent (privately-owned) news outlet established in 1975 that covers mostly business and finance news. The outlet is headquartered in India and publishes an average of 323 news stories per day. It's most recent story was published 2 hours ago.

Q: What do people currently think of this news story?

The sentiment for this story is currently Negative, indicating that people regard this as "bad news".

Q: How do I report this news for inaccuracy?

You can report an inaccurate news publication to us via our contact page. Please also include the news #ID number and the URL to this story.<ul><li>News ID: #25931500</li><li>URL: https://beamstart.com/news/openai-execs-meet-tech-policy-17388554235297</li></ul>

Business Standard Logo Business Standard 5h ago

OpenAI execs meet tech, policy groups to discuss India's data, AI landscape - Business Standard

Quick Summary:

Earlier on Wednesday, Altman, who was on a one-day tour of India, met Union minister of electronics and information technology Ashwini Vaishnaw, initially in a closed-door meeting that lasted close to half an hour, followed by a fireside chat with him.

Thursday’s meetings are the second time in a day that OpenAI’s top executives have met officials and executives from the technology policy ecosystem.

OpenAI’s executives also conducted meetings with developers, listening to their concerns about high pricing for application programming interfaces (APIs), issues around specific use cases, and apprising them of developments and improvements in the company’s tools and services.