Fei-Fei Li, a professor in the computer science department at Stanford University and co-director of the Human-Centered AI Institute, is reportedly building a start-up that uses visual data processing similar to that of humans to create artificial intelligence models capable of advanced reasoning, indicates Reuters.
Dubbed the “Godmother of AI,” Fei-Fei Li recently raised funding in a seed round for her company from investors including the Andreessen Horowitz Fund and Radical Ventures, a Canadian company she joined as a scientific partner last year. By embarking on the generative AI race with his own company, Fei-Fei Li could contribute to the current limitations of LLMs.
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Algorithms must think like humans
The fight consists of teaching algorithms what we could call common sense in order to remedy current technological limits, thus lowering the rate of false answers and at the same time increasing the capacity of these models to predict what will happen after analysis of an entire environment. The most concrete example is that of a glass of water placed on a table.
If it is placed too close to the edge, it may fall. If a human can easily understand it and prevent its fall, artificial intelligence is not currently capable of this and will not be able to take measures to prevent this glass from falling.
This reflection has already been shared several times by another eminent researcher in the field of AI, Yann LeCun, VP and chief AI scientist at Meta. According to him, this is the next major stage of development before reaching the stage of artificial general intelligence (AGI) or rather what he calls advanced machine intelligence (AMI).
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An AI pioneer
Fei-Fei Li has an interesting background in the field of AI. This researcher made a name for herself by developing a collection of image data called ImageNet, which helped introduce a generation of computer vision technologies that could reliably identify objects. She was director of Stanford's AI Lab from 2013 to 2018. During her sabbatical at Stanford, from January 2017 to September 2018, she was vice president of Google and chief AI/ML scientist at Google Cloud.
In addition to these activities, she is also a board member or advisor to several organizations, including Twitter and AI4ALL. Since last January, it is indicated on her profile LinkedIn that his work is “new” with “something new” in the description. It is also specified on its profile at Stanford that she took a partial leave of absence from the beginning of 2024 to the end of 2025. Among the research interests listed on her profile are “AI inspired cognitive”, computer vision and robotic learning.
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