Lifeboat Foundation

Walk through a maze of mirrors, you’ll soon come face to face with yourself. Your nose meets your nose, your fingertips touch at their phantom twins, stopped abruptly by a boundary of glass.

Most of the time, a reflection needs no explanation. The collision of light with the mirror’s surface is almost intuitive, its rays set on a new path through space with the same ease as a ball bouncing off a wall.

For over sixty years, however, physicists have considered a subtly different kind of reflection. One that occurs not through the three dimensions of space, but in time.

While attending an event called AI in Focus — Digital Kickoff, Chief Technology Officer at Microsoft Germany, Andreas Braun, spoke about GPT-4 and its upcoming unveiling (via Heise). According to Braun, the next iteration of GPT will be shown off next week and it will allow users to create new types of AI-generated content.

We will introduce GPT-4 next week, where we have multimodal models that will offer completely different possibilities – for example, videos.

A new concept called organoid intelligence, with the aim of developing a new generation of biocomputers, has recently been detailed by a group of researchers. They want to harness advances in the reproduction of human brain cells in vitro to offer superior intelligence to the computers and smart devices of the future. This technology promises to be much more powerful and efficient than any form of artificial intelligence as we know it.

This notion of organoid intelligence is described in a paper outlining a roadmap to developing this technology published in the journal Frontiers of Science, by numerous scientists, mainly from Johns Hopkins University in Baltimore. According to them, work on cerebral organoids, derived from human stem cells, should make it possible in the relatively near future to reproduce entities endowed with memory and a genuine capacity for learning. Organoids are miniature organs grown in vitro. The term organoid intelligence (OI) encompasses all these developments, leading to a form of biological computing — or biocomputing — that leverages neurons bred in a lab. All of which is enough to make the likes of ChatGPT seem outdated already.

Complex interfaces could eventually be networked, with brain organoids connected to sensory organoids such as retinal organoids. This could, for example, lead to new therapeutic applications.

More than 107 million science papers have just been cataloged for the public’s use thanks to a new project called The General Index.

Typically, academic studies exist behind a paywall — locking up potentially important information not only from the public but, perhaps more importantly, from other scientists.

The General Index wants to set that information free. The index acts almost like a Google search for scientific papers, but with a twist. Only snippets of the papers are provided, so it is up to users to mine the data and make sense out of it all.

Published in the journal Quantum Science and Technology, Saleh’s research focused on a novel quantum computing technique that should — at least on paper — be able to reconstitute a small object across space “without any particles crossing.”

While it’s an exciting prospect, realizing his vision will require a lot more time and effort — not to mention next-generation quantum computers that haven’t been designed, let alone built yet. That is if it’s even possible at all.

Counterportation can be achieved, the study suggests, by the construction of a small “local wormhole” in a lab — and as the press release notes, plans are already underway to actually build the groundbreaking technology described in the paper.

Recent research reveals that a peptide called “Nickelback” may have played a huge role in kick-starting life on earth. The substance may also serve as a clue in the long-standing search for extraterrestrial intelligence.

Nickelback Peptide Molecule

Continue reading “Nickelback Peptide Molecule Could Have Fostered Life on Earth; Substance May Serve as a Clue in the Search for Extraterrestrial Intelligence” »

End of World Scenarios — what are they? what is likely and what is not?

Posted on Big Think, direct link at.

Posted on Big Think.

Driving Toward the Elimination of Cancer — Joel Greshock — VP, Oncology, Data Science & Digital Health, Janssen Pharmaceutical Companies of Johnson & Johnson.

Joel Greshock is VP, Oncology, Data Science & Digital Health, Janssen Research & Development (https://www.janssen.com/oncology/leadership-team). In this position, he is responsible for creating unique and actionable medical insights using large and increasingly available datasets. The focus of this research includes discovering novel therapeutic targets, identifying areas of unmet medical need, and enhancing clinical trial recruitment and execution.

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We don’t learn by brute force repetition. AI shouldn’t either.

Despite impressive progress, today’s AI models are very inefficient learners, taking huge amounts of time and data to solve problems humans pick up almost instantaneously. A new approach could drastically speed things up by getting AI to read instruction manuals before attempting a challenge.

Continue reading “An AI Learned to Play Atari 6,000 Times Faster” »