Dynatomics: Google Co-Founder Larry Page's New AI Start-Up Aims Product Manufacturing
The company will look to pioneer the development of AI products that would be capable of 'highly optimised' design renderings of objects that would then be put into use in the manufacturing sector.

Google Co-founder and former Alphabet chief Larry Page is looking to carve his own niche in the AI gold rush.
Larry Page's New Startup
Larry Page, one of the richest men on Earth, is said to be in the process of setting up a new Artificial Intelligence company.
Larry Page is estimated to be worth USD 144.3 billion.
This company would primarily focus on AI applications in product manufacturing.
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As per reports, this startup is being called Dynatomics.
As per reports from The Information, the company will look to pioneer the development of AI products that would be capable of 'highly optimised' design renderings of objects that would then be put into use in the manufacturing sector.
This startup is currently headed by a small batch of AI developers and engineers, under the leadership of Chris Anderson.
Sergey Brin To Gemini
This comes at the back of comments from Larry Page's partner in founding the largest search engine in the world, Sergey Brin.
Brin recently shared a memo with engineers working on Google/Alphabet's own AI venture Gemini.
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In this memo, Brin asked engineers to increase their working capabilities and work for 60 hours in a week to enhance and accelerate developments and breakthroughs in the race of Artificial Intelligence.
He has also added that the workforce should be in the physical office every day of the weekdays.
The AI Rush
This is happening at a time when Brin and Google believe the company requires urgency and dedication in the AI rush.
This renewed focus on rigour comes amid the explosive growth of OpenAI's ChatGPT, which is supported by Microsoft, another tech behemoth.
The AI race has explored many potential avenues, but it has also put many bigwigs of the US tech world, including Meta, Alphabet and Microsoft, along with others, to engender tangible result, as Wall Street runs out of patience, waiting for the next big thing in the AI business.
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