Lifeboat Foundation

Researchers at Google Deepmind and the University of Oxford have concluded that it’s now “likely” that superintelligent AI will spell the end of humanity — a grim scenario that more and more researchers are starting to predict.

In a recent paper published in the journal AI Magazine, the team — comprised of DeepMind senior scientist Marcus Hutter and Oxford researchers Michael Cohen and Michael Osborne — argues that machines will eventually become incentivized to break the rules their creators set to compete for limited resources or energy.

“Under the conditions we have identified, our conclusion is much stronger than that of any previous publication — an existential catastrophe is not just possible, but likely,” Cohen, Oxford University engineering student and co-author of the paper, tweeted earlier this month.

What about the Chinese Room thought experiment by Searle, doesn’t that disprove true AI and mind uploading?

The Chinese Room Argument is a thought experiment designed by philosopher John Searle and published in his article, Can Computers Think? This experiment is in opposition to strong-artificial intelligence (AI), specifically to claims that computers may someday be able to have cognitive states. Searle argues that cognitive states must have semantic content, yet programs are purely syntactic, and that computers are constrained by structures that disallow them from creating their own meaning.

To make this argument, Searle imagines a “Chinese Room” in which a person receives a string of Chinese characters, and using a computer, returns the appropriate response in Chinese. The person has no understanding of the Chinese language yet using syntactic and instructions, the person is able to mimic an understanding of Chinese. Searle demonstrates that an ability to follow formal instructions and produce appropriate responses does not equate to an understanding, due to the lack of semantic content. Similarly, a computer that substitutes for said person, would not understand Chinese.

Microgrids are the right solution for rural and remote energy production and distribution because they are grids designed for smaller populations.

In the United States, there are at least 60,000 people who have no access to electricity. It is not a large number but poses for this population a barrier to participating in the modern world. You cannot find a job working from home without electricity and Internet access. You cannot visit your doctor virtually. You cannot use electricity to light and heat your home.

But with microgrids that can operate autonomously from the main power grid, rural and remote communities can do everything that people living in big cities can do leading to a better quality of life for those living there.

Continue reading “How Microgrids are an Ideal Energy Solution for Rural and Remote Communities” »

An electrolyte moves ions – atoms that have been charged by either gaining or losing an electron – between the two electrodes in a battery. Lithium ions are created at the negative electrode, the anode, and flow to the cathode where they gain electrons. When a battery charges, the ions move back to the anode.

Battery innovations can take years to come to fruition because there are so many different chemicals involved in their production. Working out the ratio of chemicals and optimising them for peak use can be an arduous task.

However, when the research team used an automated arrangement of pumps, valves, vessels, and other lab equipment to mix together three potential solvents and one salt, and then fed those results through ‘Dragonfly’, they found that the AI delivered six solutions that out-performed an existing electrolyte solution.

Artificial intelligence researchers are doubling down on the concept that we will see artificial general intelligence (AGI) — that’s AI that can accomplish anything humans can, and probably many we can’t — within our lifetimes.

Responding to a pessimistic op-ed published by TheNextWeb columnist Tristan Greene, Google DeepMind lead researcher Dr. Nando de Freitas boldly declared that “the game is over” and that as we scale AI, so too will we approach AGI.

Greene’s original column made the relatively mainstream case that, in spite of impressive advances in machine learning over the past few decades, there’s no way we’re gonna see human-level artificial intelligence within our lifetimes.

Chinese scientists are reported to have developed a fully-automated, pig-cloning robot, and the AI-powered bot is apparently way more efficient than humans.

Patreon support: https://www.patreon.com/braininspired.

Free Video Series: Open Questions in AI and Neuroscience:
https://braininspired.co/open/

Continue reading “BI 103 Randal Koene and Ken Hayworth: The Road to Mind Uploading” »

PhonlamaiPhoto/iStock.

The Hubbard Model

Since the infancy of functional magnetic resonance imaging (fMRI) in 1990, people have been fascinated by the potential for brain scans to unlock the mysteries of the human mind, our behaviors and beliefs. Many breathtaking applications for brain scans have been devised, but hype often exceeds what empirical science can deliver. It’s time to ask: What’s the big picture of neuroscience and what are the limitations of brain scans?

The specific aims of any research endeavor depend on who you ask and what funding agency is involved, says Michael Spezio, associate professor of psychology, data science and neuroscience at Scripps College. Some people believe neuroscience has the potential to explain human cognition and behavior as a fully mechanistic process, ultimately debunking an “illusion of free will.” Not all neuroscientists agree that free will is a myth, but it’s a strong current these days. Neuroscience also has applications in finance, artificial intelligence, weapons research and national security.

For other researchers and funders, the specific aim of neuroscience involves focusing on medical imaging, genetics, the study of proteins (proteomics) and the study of neural connections (connectomics). As caring persons who are biological, neurological, physical, social and spiritual, we can use neuroscience to think carefully and understand our humanity and possible ways to escape some of the traps we’ve built for ourselves, says Spezio. Also, brain scans can enhance research into spirituality, mindfulness and theory of mind – the awareness of emotions, values, empathy, beliefs, intentions and mental states to explain or predict others’ behavior.