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OpenAI Updates Policy to Allow Military Use and Weapons Development

Analytics Vidhya

OpenAI, a prominent player in the field of artificial intelligence (AI), has recently updated its usage policy, removing explicit prohibitions on military applications. The new policy states a more general directive […] The post OpenAI Updates Policy to Allow Military Use and Weapons Development appeared first on Analytics Vidhya.

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Google's updated privacy policy states it can use public data to train its AI

Hacker News

Google has updated its privacy policy to state that it can use publicly available data to help train its AI models.

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Machine Learning with a twist: How trivial labels can be used to predict policy changes

Dataconomy

A clever algorithm that has digested seven decades’ worth of articles in China’s state-run media is now ready to predict its future policies. The post Machine Learning with a twist: How trivial labels can be used to predict policy changes appeared first on Dataconomy.

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OpenAI Works with U.S. Military Soon After Policy Update

Analytics Vidhya

Aligning with a recent policy shift, OpenAI, the creator of ChatGPT, is actively engaging with the U.S. This development comes on the heels of OpenAI’s recent removal of language in its terms of service that previously restricted the use of its artificial intelligence (AI) in military […] The post OpenAI Works with U.S.

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Using data to inform policies for continuing the fight against the overdose epidemic

SAS Software

Addressing these issues requires using data to [.] Using data to inform policies for continuing the fight against the overdose epidemic was published on SAS Voices by Juan Colon

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Sony AI Big Data Industry Predictions for 2024

insideBIGDATA

They each offer different perspectives on topics related to AI ethics and policy, the use of AI to augment creativity and scientific research, emerging AI training methods, and more. From the company’s point of view 2024 should be quite a year!

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Large Language Models as Generalizable Policies for Embodied Tasks

Machine Learning Research at Apple

We show that large language models (LLMs) can be adapted to be generalizable policies for embodied visual tasks. Our approach, called Large LAnguage model Reinforcement Learning Policy (LLaRP), adapts a pre-trained frozen LLM to take as input text instructions and visual egocentric observations and output actions directly in the environment.

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