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Essay competition on the Automation of Wisdom and Philosophy — $25k in prizes

AI Impacts

Background AI is likely to automate more and more categories of thinking with time. A non-exhaustive set of questions of interest, in four broad categories: Automation of wisdom What is the nature of the sort of good thinking we want to be able to automate? Ideas for catalysing/sustaining this field?

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How the Recording Academy uses IBM watsonx to enhance the fan experience at the GRAMMYs®

IBM Journey to AI blog

Not an easy task when you need to celebrate the achievements and stories of more than 1,000 nominees across nearly 100 categories. Next they select an artist or award category to feature, the subject of the post, such as biographical information, GRAMMY achievements, or philanthropic causes, and any topics to exclude from the output.

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Michael Dougherty, CEO & Co-Founder of Remix AI – Interview Series

Unite.AI

We brainstormed how we could enable new experiences in this new category. We believed (and still do) that AI creates new categories of consumer apps, unlocking experiences for us all. This thought process led to the idea of Remix AI. Remix AI is defined as the social app for your imagination.

AI 317
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A Closer Look at OpenAI’s DALL-E 3

Unite.AI

DALL-E 3 isn't just about creating images; it's about bringing your ideas to life, just the way you imagined them. You’ve got an idea, you feed it to DALL-E 3, and boom, your image is ready. Whether you’re a designer, an artist, or just someone with a lot of cool ideas, you’re going to want to stick around for this.

OpenAI 264
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How to Build Data Experiences for End Users

End users fall into 4 different categories along the data literacy continuum when it comes to their skill level with data: Data challenged: Users have no-to-low levels of analytics skills or data access. Product managers need to research and recognize their end users' data literacy when building an application with analytic features.

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Microsoft unveils Phi-3 family of compact language models

AI News

“What we’re going to start to see is not a shift from large to small, but a shift from a singular category of models to a portfolio of models where customers get the ability to make a decision on what is the best model for their scenario,” said Sonali Yadav, Principal Product Manager for Generative AI at Microsoft. .

Big Data 245
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This NIST Trustworthy and Responsible AI Report Develops a Taxonomy of Concepts and Defines Terminology in the Field of Adversarial Machine Learning (AML)

Marktechpost

The two main categories into which AI systems have been divided are Predictive AI and Generative AI. A common vocabulary for discussing Adversarial Machine Learning (AML) ideas by developing standardized terminology for the ML and cybersecurity communities has been shared.