Lifeboat Foundation

Researchers have taught an AI to make artificial genomes — possibly overcoming the problem of how to protect people’s genetic information while also amassing enough DNA for research.

Generative adversarial networks (GANs) pit two neural networks against each other to produce new, synthetic data that is so good it can pass for real data. Examples have been popping up all over the web — generating pictures and videos (a la “this city does not exist”). AIs can even generate convincing news articles, food blogs, or human faces (take a look here for a complete list of all the oddities created by GANs).

Now, researchers from Estonia are going more in-depth with deepfakes of human DNA. They created an algorithm that repeatedly generates the genetic code of people that don’t exist.

When people pay for sexual media, they’re seeking more than an anonymous image. AI cannot replicate the underlying desires that drive sex work.

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After several decades of hope, hype and false starts, it appears that artificial intelligence (AI) has finally gone from throwing off sparks to catching fire. Tools like DALL-E and ChatGPT have seized the spotlight and the public imagination, and this latest wave of AI appears poised to be a game-changer across multiple industries.

But what kind of impact will AI have on the 3D engineering space? Will designers and engineers see significant changes in their world and their daily workflows, and if so, what will those changes look like?

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Generative AI has received a lot of attention already this year in the tech world and beyond. Whether it’s ChatGPT’s prose or Stable Diffusion’s art, 2022 provided an insight into the potential for AI to disrupt creative industries.

But behind the headlines, 2022 brought an even more important development in AI: the rise of the vector database.

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In January, new reports on Apple’s long-awaited augmented reality/virtual reality headset were released. And if what’s in these reports is even partially true, Apple is poised to give the world one of the most jaw-dropping, powerful pieces of technology in history (again) — which is why it was a bit surprising that this news didn’t make more of a splash.

This is the same company that has fans enter lotteries for tickets to corporate keynote addresses! Yet, outside of the usual tech blogs and a few newspaper columns, the future of Apple’s AR/VR device went largely unnoticed.

Geoffrey Hinton, a VP and engineering fellow at Google and a pioneer of deep learning who developed some of the most important techniques at the heart of modern AI, is leaving the company after 10 years, the New York Times reported today.

According to the Times, Hinton says he has new fears about the technology he helped usher in and wants to speak openly about them, and that a part of him now regrets his life’s work.

AI is having its moment on tech earnings calls for the second consecutive quarter, following the widely popular launch of OpenAI’s ChatGPT in late November. But not every company has the same plans for the new technology.

Nvidia (NVDA) is selling AI powered supercomputers. Microsoft (MSFT) is integrating ChatGPT into its search engine to compete with Google (GOOGL), which has its own AI searchbot.

Meta’s approach is slightly different. The core business for Meta since the early days of Facebook has been advertising sales, which still account for 98% of the company’s quarterly revenue. So naturally, enhancing advertisements with AI is where Meta believes the new technology can be most impactful.

Can we ensure that AI is used ethically? Will AIs themselves develop empathy and ethics? That’s the topic I’d like to discuss today. It’s important.

I recently sat down with Rana el Kaliouby, PhD, AI researcher and Deputy CEO of Smart Eye, at my private CEO Summit Abundance360 to explore these questions. Rana has been focused on this very topic for the past decade.

Continue reading “Can AI Develop Empathy & Ethics?” »

MIT professor Max Tegmark is stressed about the potential impact of artificial general intelligence (AGI) — and thinks you should be, too.