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Developments in artificial intelligence and human enhancement technologies have the potential to remake American society in the coming decades. A new Pew Research Center survey finds that Americans see promise in the ways these technologies could improve daily life and human abilities. Yet public views are also defined by the context of how these technologies would be used, what constraints would be in place and who would stand to benefit – or lose – if these advances become widespread.

Fundamentally, caution runs through public views of artificial intelligence (AI) and human enhancement applications, often centered around concerns about autonomy, unintended consequences and the amount of change these developments might mean for humans and society. People think economic disparities might worsen as some advances emerge and that technologies, like facial recognition software, could lead to more surveillance of Black or Hispanic Americans.

This survey looks at a broad arc of scientific and technological developments – some in use now, some still emerging. It concentrates on public views about six developments that are widely discussed among futurists, ethicists and policy advocates. Three are part of the burgeoning array of AI applications: the use of facial recognition technology by police, the use of algorithms by social media companies to find false information on their sites and the development of driverless passenger vehicles.

Summary: AI technology helped map out diverse and subjective psychedelic experiences to different brain regions.

Source: The Conversation.

For the past several decades, psychedelics have been widely stigmatized as dangerous illegal drugs. But a recent surge of academic research into their use to treat psychiatric conditions is spurring a recent shift in public opinion.

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What can heal can also be used to destroy?


MegaSyn is built to generate drug candidates with the lowest toxicity for patients. That got Urbina thinking. He retrained the model using data to drive the software toward generating lethal compounds, like nerve gas, and flipped the code so that it ranked its output from high-to-low toxicity. In effect, the software was told to come up with the most deadly stuff possible.

He ran the model and left it overnight to create new molecules.

It was quite impressive and scary at the same time, because in our list of the top 100, we were able to find some molecules that are VX analogues