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Podcast · MIT Sloan Management Review and Boston Consulting Group (BCG) · Why do only 10% of companies succeed with AI? In this series by MIT SMR and BCG, we talk to the leaders who've achieved big wins with AI in their companies and learn how they did it. Hear what gets experts from companies like NASA, Github, and others excited to do their jobs every day and what they consider the keys to their success.

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👩🏽‍🎨 About you + the role

Grief-laden vitriol directed at AI fails to help us understand paths to better futures that are neither utopian nor dystopian, but open to radically weird possibilities.

In this article, Nadia takes a closer look at and debunks a few popular participation practices.

Video, slides, and transcript from my talk on the challenges of designing with language models

OpenFuture is the most extensive AI tools library. Look at our directory with many AI tools in 40+ frequently used categories. Check out the best tools for you now!

Maybe you’re an engineer creating a new machine vision system to track birds. You might be a journalist using social media data to research Costa Rican households. You could be a researcher who stumbled upon your university’s archive of handwritten census cards from 1939. Or a designer creating a chatbot that relies on large language models like GPT-3. Perhaps you’re an artist experimenting with visual style combinations using DALLE-2. Or maybe you’re an activist with an urgent story that needs telling, and you’re searching for the right dataset to tell it.

EDITED BY THAO PHAN, JAKE GOLDENFEIN, DECLAN KUCH & MONIQUE MANN

Generative AI is just Big Data 2.0.

The Aestheticization of Algorithmic Ideologies

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