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autotldr Bot ,

This is the best summary I could come up with:

Fei-Fei Li, the renowned computer scientist known as the “godmother of AI,” has created a startup dubbed World Labs.

World Labs hopes to use human-like processing of visual data to make AI capable of advanced reasoning, Reuters reported in May.

Li is best known for her contributions to computer vision, a branch of AI dedicated to helping machines interpret and comprehend visual information.

Li founded World Labs while on partial leave from Stanford, where she co-directs the university’s Human-Centered AI Institute.

In a Ted Talk in April, Li further explained the field of research her startup will work on advancing, which involves algorithms capable of realistically extrapolating images and text into three-dimensional environments and acting on those predictions, using a concept known as “spatial intelligence.” This could bolster work in various fields such as robotics, augmented reality, virtual reality, and computer vision.

The investment in World Labs reflects a trend where venture capitalists eagerly align themselves with ambitious AI companies, spurred by the surprise success of OpenAI’s ChatGPT, which rapidly achieved a valuation exceeding $80 billion.

The original article contains 342 words, the summary contains 176 words. Saved 49%. I’m a bot and I’m open source!

dinckelman ,

Gotta keep the capitalist machine working while the pump and dump scheme is still functional

Womble ,

In a Ted Talk in April, Li further explained the field of research her startup will work on advancing, which involves algorithms capable of realistically extrapolating images and text into three-dimensional environments and acting on those predictions, using a concept known as “spatial intelligence.” This could bolster work in various fields such as robotics, augmented reality, virtual reality, and computer vision. If these capabilities continue to advance in the ambitious ways Li plans, it has the potential to transform industries like healthcare and manufacturing.

I mean that sounds a lot more interesting than 99% of the LLM work going on at the moment, and given that she lead the team that cracked the computer vision problem of recognising objects she has pedigree.

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