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We finally got the color data from the openCV object. The idea was to grab color data from the pixel that corresponded to center of each blob. Then, take that color and color each blob.

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An AI dataset is a collection of data used for training, testing, and validating machine learning models, and its quality and diversity are crucial for accurate and reliable model performance.

 

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egg interactive video installation, shoreditch town hall, november 2007

Yann LeCun doesn’t mince his words about why he ultimately decided to leave #Meta after more than a decade. Staying became politically difficult, he tells me. And while #Zuckerberg likes LeCun’s world model research, the crowd who were hired for the company’s new superintelligence push are “completely LLM-pilled”.

 

This clearly alienated #LeCun. “I’m sure there’s a lot of people at Meta, including perhaps Alex (Wang), who would like me to not tell the world that #LLMs basically are a dead end when it comes to superintelligence,” he says. “But I’m not gonna change my mind because some dude thinks I’m wrong. I’m not wrong. My integrity as a scientist cannot allow me to do this.”

 

Computer scientist Yann LeCun interviewed by Melissa #Heikkilä ‘Intelligence really is about learning’ giftarticle.ft.com/giftarticle/actions/redeem/a3b143c6-4f...

 

Yann Le Cun (born 1960) is a French–American computer scientist working in the fields of artificial intelligence, machine learning, computer vision, robotics and image compression. He is the Jacob T. Schwartz Professor of Computer Science at the Courant Institute of Mathematical Sciences at New York University. He served as Chief AI Scientist at Meta Platforms before leaving to work on his startup company.

en.wikipedia.org/wiki/Yann_LeCun

 

CC BY-SA licensed portrait of Yann LeCun via Ecole polytechnique / Institut Polytechnique de Paris by Jérémy Barande via Wikimedia Commons w.wiki/HJbV

  

George Bernet, Gale Aguilar

the face of a woman with an electronic device on her head

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