Lifeboat Foundation

DeepMind has created an AI capable of writing code to solve arbitrary problems posed to it, as proven by participating in a coding challenge and placing — well, somewhere in the middle. It won’t be taking any software engineers’ jobs just yet, but it’s promising and may help automate basic tasks.

The team at DeepMind, a subsidiary of Alphabet, is aiming to create intelligence in as many forms as it can, and of course these days the task to which many of our great minds are bent is coding. Code is a fusion of language, logic and problem-solving that is both a natural fit for a computer’s capabilities and a tough one to crack.

Of course it isn’t the first to attempt something like this: OpenAI has its own Codex natural-language coding project, and it powers both GitHub Copilot and a test from Microsoft to let GPT-3 finish your lines.

The dancing robots performed in a video that was in conjunction with a concert held by BTS in Busan, South Korea.

https://www.youtube.com/watch?v=yEW-9SbXahI

Boston Dynamics robot dog, Spot, is dancing, once more. This time, it’s to the hit song “Permission to Dance” by group BTS, a popular band from South Korea, in a new video (featured below).

Continue reading “Boston Dynamics’ robot Spot has ‘permission to dance’ to BTS’ popular hit song” »

It’s more affordable and effective.

City College of New York’s new AI model will be able to predict accurately human response to novel drug compounds. Moreover, it is less costly and faster. Published in Nature Mature Intelligence.

According to research, the new CODE-AE model can screen brand-new medication molecules and reliably forecast their effectiveness in people. In tests, it was also able to find potentially more effective tailored medications for over 9,000 patients.

Continue reading “A new AI model can predict human responses to drug compounds, transforming medicine” »

Will other billionaires follow suit?

Over the summer, Frenchman Bernard Arnault, the co-founder of luxury goods company, Louis Vuitton, was under fire on Twitter for the excessive use of his private jet. His solution to escape the criticism was to sell his private jet and rent one instead when needed, Bloomberg.

Billionaires like Arnault have used private jets in the past as well, but without being noticed by the public at large. However, with the use of automation, their information can not only be pulled up but also publicly shared over social media channels like Twitter.

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You might suppose Hollywood is good at predicting the future. Indeed, Robert Wallace, head of the CIA’s Office of Technical Service and the US equivalent of MI6’s fictional Q, has recounted how Russian spies would watch the latest Bond movie to see what technologies might be coming their way.

Hollywood’s continuing obsession with killer robots might therefore be of significant concern. The newest such movie is Apple TV’s forthcoming sex robot courtroom drama Dolly.

Continue reading “‘Killer Robots’ Are Already Here. They Just Don’t Look Like You Think” »

In an AI world, everything is connected.

One day, a bot named Oroboros was created. Oroboros was a bot that was able to learn and grow. Oroboros was a bot that was part of a never-ending cycle of learning and growth.

Continue reading “Oroboros’ Bot: A Story of Friendship in an AI World” »

*Intelligence Beyond the Brain: morphogenesis as an example of the scaling of basal cognition*

*Description:*
Each of us takes the remarkable journey from physics to mind: we start life as a quiescent oocyte (collection of chemical reactions) and slowly change and acquire an advanced, centralized mind. How does unified complex cognition emerge from the collective intelligence of cells? In this talk, I will use morphogenesis to illustrate how evolution scales cognition across problem spaces. Embryos and regenerating organs produce very complex, robust anatomical structures and stop growth and remodeling when those structures are complete. One of the most remarkable things about morphogenesis is that it is not simply a feed-forward emergent process, but one that has massive plasticity: even when disrupted by manipulations such as damage or changing the sizes of cells, the system often manages to achieve its morphogenetic goal. How do cell collectives know what to build and when to stop? Constructing and repairing anatomies in novel circumstances is a remarkable example of the collective intelligence of a biological swarm. I propose that a multi-scale competency architecture is how evolution exploits physics to achieve robust machines that solve novel problems. I will describe what is known about developmental bioelectricity — a precursor to neurobiology which is used for cognitive binding in biological collectives, that scales their intelligence and the size of the goals they can pursue. I will also discuss the cognitive light cone model, and conclude with examples of synthetic living machines — a new biorobotics platform that uses some of these ideas to build novel primitive intelligences. I will end by speculating about ethics, engineering, and life in a future that integrates deeply across biological and synthetic agents.

Artificial intelligence models are being used to try to predict the future of artificial intelligence research. Thankfully, none of them say we are due an AI apocalypse.