Lifeboat Foundation

Listen now (47 mins) | At the Interface of biomedical science and A.I.

Discover superhero abilities with I-XRAY, AI glasses that reveal anyone’s personal info like address, name, and phone number with a glance.

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We’re not actually specifically focused on AGI.

I’m simply saying that AGI seems likely to be an emergent property of what we’re doing, because we’re creating all these autonomous cars and autonomous humanoids that are actually a truly gigantic data stream that’s coming in and being processed.

A team of engineers at AI inference technology company BitEnergy AI reports a method to reduce the energy needs of AI applications by 95%. The group has published a paper describing their new technique on the arXiv preprint server.

As AI applications have gone mainstream, their use has risen dramatically, leading to a notable rise in energy needs and costs. LLMs such as ChatGPT require a lot of computing power, which in turn means a lot of electricity is needed to run them.

As just one example, ChatGPT now requires roughly 564 MWh daily, or enough to power 18,000 American homes. As the science continues to advance and such apps become more popular, critics have suggested that AI applications might be using around 100 TWh annually in just a few years, on par with Bitcoin mining operations.

A school in Texas is revolutionizing the way students learn by going all-in on artificial intelligence. Its leaders are using the technology to educate students without the help of a traditional teacher. NBC’s Gadi Schwartz reports for TODAY.

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Continue reading “No teachers, no homework: School solely uses AI to teach students” »

Noyron software harnesses the creativity and problem-solving of engineers to design advanced machinery autonomously.

Gen AI models aren’t just good for creating pictures—they can be fine-tuned to generate useful robot training data, too.

Originally published on Towards AI.

AI is transforming the way we exist, operate, and prosper in the technological revolution.

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