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AI News Weekly - Issue #356: DeepMind's Take: AI Risk = Climate Crisis? - Oct 26th 2023

AI Weekly

Powered by clkmg.com In the News DeepMind chief : AI risk must be treated as seriously as climate crisis Demis Hassabis calls for greater regulation to quell existential fears over tech with above-human levels of intelligence theguardian.com Sponsor Liquid Assets, Solid Returns Want to age your portfolio like fine whiskey?

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This AI newsletter is all you need #73

Towards AI

Last Updated on November 15, 2023 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. But we have also been interested in seeing several new studies released on the state of AI and its adoption in the economy this week. Why should you care?

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Featured AI2er: Nicole DeCario

Allen AI

Nicole DeCario is the Director of AI & Society at AI2 Nicole DeCario is the Director of AI & Society at AI2. What put you on the path to your current role? quit my job, and moved across the country. ‍♀️ What’s the most interesting thing that has happened with your work at AI2 recently?

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How LLMs are Transforming Bot Building, Botnet Detection at Scale, and Declarative ML for Engineers

ODSC - Open Data Science

5 Industries Using Synthetic Data in Practice Here’s an overview of what synthetic data is and a few examples of how various industries have benefited from it. Hands-on Data-Centric AI: Data Preparation Tuning — Why and How? Here are a few common mashups that may be right up your alley. Here’s how. Learn more here.

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GPT for everyone, Unfriendly AIs, and natural selection.

Becoming Human

A future superintelligence ponders its evolution Some reactions to the latest AI news and developments, along with some AI-generated artwork. BloombergGPT: Jack of all trades, and a master of a few Move over, GPT-3, and there’s a new kid on the block! The significance of this news?

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9 Key Takeaways From How To Become a Data Scientist by Adam Ross Nelson

ODSC - Open Data Science

Navigating your way into the field of data science, especially as an established professional, can feel akin to attempting one of the hardest tasks in the Triwizard Tournament — the formidable maze. In the same spirit, support will always be available in your data science journey to those who seek it.

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5 Concerns Surrounding the Scaling and Adoption of AI

ODSC - Open Data Science

Many ask quite similar questions when it comes to AI. In the following sections, we’ll take a look at a few of these concerns related to AI, and even some ways to address them. Concern #1: Bias and Fairness in AI Fairness and bias aren’t just an isolated issue with artificial intelligence, but one that is felt all over the field.