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Why Sustainable AI is the Next Step for a Better Digital Future

Forum One

The rapid growth of AI presents us with a profound challenge as well as an extraordinary opportunity—and an urgent need—to ensure that sustainability is at the forefront of its development and application. In fact, training a single advanced AI model can generate carbon emissions comparable to the lifetime emissions of a car.

Digital 104
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Step Up to AI, But Tread Lightly

.orgSource

Should we believe the hype? ChatGPT is a large language model within the family of generative AI systems. ChatGPT , from OpenAI, is a large language model within the family of generative AI systems. AI models use algorithms to recognize patterns, learn from specific sets of data, and provide responses based on that education.

Language 221
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When it comes to large language models, should you build or buy?

TechCrunch

Tanmay Chopra Contributor Share on Twitter Tanmay Chopra works in machine learning at AI search startup Neeva , where he wrangles language models large and small. Last summer could only be described as an “AI summer,” especially with large language models making an explosive entrance. Let’s start with buying.

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BeReal: Hype or hit? What to know about the Gen Z photo-sharing app climbing the charts

TechCrunch

Poparazzi — an app that turned Instagram’s tagging feature into its entire premise — hyped itself to the top of the App Store using a series of growth hacks not too long ago. BeReal is so far finding success with this model: Apptopia says daily active users have reached 2.93 That’s the goal! It also has a 4.8

Hype 85
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Microsoft is giving businesses access to OpenAI’s powerful AI language model GPT-3

The Verge

GPT-3 is the best known example of a new generation of AI language models. promise that their GPT-derived tools will help users spruce up work emails and pitch decks , while more exotic applications include using GPT-3 to power a choose-your-own-adventure text game and chatbots pretending to be fictional TikTok influencers.

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We need a Red Hat for AI

InfoWorld

That’s an overstatement, of course, but it feels like the market has hit peak hype without peak productivity. As Monte Carlo CEO Barr Moses highlights from a recent Wakefield survey, 91% of data leaders are building AI applications, but two-thirds of that same group said they don’t trust their data to large language models (LLMs).

Hype 73
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Are you ‘AI literate’? Schools and jobs are insisting on it—and now it’s EU law

Fast Company Tech

Many of these applications push the technology beyond its current capabilities, creating risks that aren’t always obvious to users. “The models are not failing,” says Maria De-Arteaga, an assistant professor at the University of Texas at Austin McCombs School of Business. Three years lets things settle.

Law 131