Lifeboat Foundation

OpenAI cofounder and CEO Sam Altman sat down for a wide-ranging interview with us late last week, answering questions about some of his most ambitious personal investments, as well as about the future of OpenAI.

This second clip is focused exclusively on artificial intelligence, including how much of what OpenAI is developing Altman thinks should be regulated, whether he’s worried about the commodification of AI, his thoughts about Alphabet’s reluctance to release its own powerful AI, and worst-and best-case scenarios as we move toward a future where AI is ever-more central to our lives.

Continue reading “StrictlyVC in conversation with Sam Altman, part two (OpenAI)” »

Queensland researchers train artificial intelligence to trawl recordings and help confirm presence of elusive eastern bristlebird.

Comprehensive database of AIs available for every task.

The inside of a person’s mouth can say a lot about their overall health. Studies have established links between poor oral health and conditions like heart disease, high blood pressure and pneumonia. Now, a new study shows there’s a connection to the brain. Researchers in the U.K. found certain bacteria in the mouth may cause deadly brain abscesses.

New research hints at why some cancer cells develop drug resistance, and how to kill them.

A group of astronomers has snapped what is described as the most detailed image of the Moon ever snapped from the surface of Earth.

But doubts remain about whether cell reprogramming technique could one day help humans.

This shapeshifting controls the biological processes of living things—for example, opening the protein tunnels dotted along neurons or driving cancerous growth. But it also makes understanding protein behavior and developing drugs that interact with proteins a challenge.

While recent AI breakthroughs in the prediction (and even generation) of protein structures are a huge advance 50 years in the making, they still only offer snapshots of proteins. To capture whole biological processes—and identify which lead to diseases—we need predictions of protein structures in multiple “poses” and, more importantly, how each of these poses changes a cell’s inner functions. And if we’re to rely on AI to solve the challenge, we need more data.

Thanks to a new protein atlas published this month in Nature, we now have a great start.

A scientist is now aiming to prove that The Matrix is based on fact, and that the simulation we live in can be hacked.