Lifeboat Foundation: Safeguarding Humanity
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Category: robotics/AI – Page 900

A short history of the Web

The World Wide Web was first tested on Christmas Day in 1990. Tim Berners-Lee and Robert Cailliau set up successful communication between a web browser & server via the Internet.

Tim Berners-Lee, a British scientist, invented the World Wide Web (WWW) in 1989, while working at CERN. The Web was originally conceived and developed to meet the demand for automated information-sharing between scientists in universities and institutes around the world.

CERN is not an isolated laboratory, but rather the focal point for an extensive community that includes more than 17 000 scientists from over 100 countries. Although they typically spend some time on the CERN site, the scientists usually work at universities and national laboratories in their home countries. Reliable communication tools are therefore essential.

The basic idea of the WWW was to merge the evolving technologies of computers, data networks and hypertext into a powerful and easy to use global information system.

Musk’s xAI Incorporates as Benefit Corporation With ‘Positive Impact’ Goal

Elon Musk’s artificial intelligence startup, xAI, is following in the footsteps of rivals OpenAI and Anthropic in opting for an unusual corporate structure.

XAI has been organized in Nevada as a for-profit benefit corporation, a structure that allows the company to prioritize having a positive impact on society over its obligations to shareholders, according to a late November filing with Nevada. Musk, who launched the secretive startup earlier this year, has long expressed concern over the impact AI could have on society.

Use Of AI In DeepFakes Accelerating Risks To Companies

Board directors and CEO’s need to increase their knowledge of Deep Fakes and develop risk management strategies to protect their companies. Deepfakes are videos or images that often feature people who have been digitally altered, whether it be their voice, face or body, so that they appear to be “saying” something else or are someone else entirely.

You may recall the trickery of the video in 2019 showing Tesla cars crashing into a robot at tech convention causing havoc or of Wayfair false information involved in child sex trafficking through the sale of industrial cabinets. Even Mark Zuckerberg has been inflicted by deep fakes from a video where he was allegedly thanking U.S. legislators for their inaction on antitrust issues.

Unfortunately, deep fakes are incredibly easy to produce having gone mainstream and with AI, there are even more accelerated risks to plan for.

OpenAI eyes to be $100 billion firm, tailing Elon Musk’s SpaceX closely

The specifics of the funding round are yet to be finalized.

In the early stages of this process, discussions have taken place with potential investors, as per a report by Bloomberg. However, specific details such as the terms, valuation, and timing of the funding round are still being worked out and may undergo changes.

OpenAI in talks to raise fresh funding

The hottest startup in Silicon Valley has already raised about $13 billion from Microsoft. OpenAI’s upward growth trajectory is in tandem with the artificial intelligence boom brought on by ChatGPT last year.

Real Life SEX ROBOTS Are Coming — The Dangers Of Seductive AI

One of the early opportunities for Optimus to which Elon has alluded.

Disrupting prostitution, OnlyFans and the female profiteering off men’s emotional and sexual needs.

. Our guest, Mo Gawdat, former chief business officer for Google X, brings a stark warning from the forefront of technology. Having shaped the tech landscape through his work with IBM, Microsoft, and Google, Mo unflinchingly declares AI as a greater threat to humanity than global warming. The AI revolution is upon us, reshaping our future, irrespective of our stance. This episode delves into the startling implications of a world intertwined with sex robots. Could such artificial companionship eclipse our inherent need for human connection?

Gathering more effective human demonstrations to teach robots new skills

To effectively assist humans in real-world settings, robots should be able to learn new skills and adapt their actions based on what users require them to do at different times. One way to achieve this would be to design computational approaches that allow robots to learn from human demonstrations, for instance observing videos of a person washing dishes and learning to repeat the same sequence of actions.

Researchers at University of British Columbia, Carnegie Mellon University, Monash University and University of Victoria recently set out to gather more to train robots via demonstrations. Their paper, posted to the arXiv preprint server, shows that the data they gathered can significantly improve the efficiency with which robots learn from the demonstrations of human users.

“Robots can build cars, gather the items for shopping orders in busy warehouses, vacuum floors, and keep the hospital shelves stocked with supplies,” Maram Sakr, one of the researchers who carried out the study, told Tech Xplore. “Traditional robot programming systems require an expert programmer to develop a robot controller that is capable of such tasks while responding to any situation the robot may face.”

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