Lifeboat Foundation

Advances in the versatile design and synthesis of nanomaterials have imparted diverse functionalities to Janus micromotors as autonomous vehicles. However, a significant challenge remains in maneuvering Janus micromotors by following desired trajectories for on-demand motility and intelligent control due to the inherent rotational Brownian motion. Here, we present the enhanced and robust directional propulsion of light-activated Fe3O4@TiO2/Pt Janus micromotors by magnetic spinning and the Magnus effect. Once exposed to a low-intensity rotating magnetic field, the micromotors become physically actuated, and their rotational Brownian diffusion is quenched by the magnetic rotation. Photocatalytic propulsion can be triggered by unidirectional irradiation based on a self-electrophoretic mechanism.

AMD is reportedly concerned with the pace of the developments occurring within the AI industry seeing it as a potential ‘moat’.

A Nature survey finds that scientists are concerned, as well as excited, by the increasing use of artificial-intelligence tools in research.

Large language models are trained on all kinds of data, most of which it seems was collected without anyone’s knowledge or consent. Now you have a choice whether to allow your web content to be used by Google as material to feed its Bard AI and any future models it decides to make.

It’s as simple as disallowing “User-Agent: Google-Extended” in your site’s robots.txt, the document that tells automated web crawlers what content they’re able to access.

Though Google claims to develop its AI in an ethical, inclusive way, the use case of AI training is meaningfully different than indexing the web.

Looks like the Metaverse got an upgrade.

Mark Zuckerberg is CEO of Meta.

Continue reading “Mark Zuckerberg: First Interview in the Metaverse” »

Fourier Intelligence-Robotics/YouTube.

Set in Salem, Oregon, “RoboFab”, Agility Robotics’ 70,000-square-foot robot factory is slated to open later this year and manufacture the company’s bipedal robot Digit.

MENLO PARK, California, Sept 28 (Reuters) — Meta Platforms (META.O) used public Facebook and Instagram posts to train parts of its new Meta AI virtual assistant, but excluded private posts shared only with family and friends in an effort to respect consumers’ privacy, the company’s top policy executive told Reuters in an interview.

Meta also did not use private chats on its messaging services as training data for the model and took steps to filter private details from public datasets used for training, said Meta President of Global Affairs Nick Clegg, speaking on the sidelines of the company’s annual Connect conference this week.

“We’ve tried to exclude datasets that have a heavy preponderance of personal information,” Clegg said, adding that the “vast majority” of the data used by Meta for training was publicly available.

This video covers digital immortality, its required technologies, processes of uploading a mind, its potential impact on society, and more. Watch this next video about the world in 2200: https://bit.ly/3htaWEr.
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CHAPTERS
00:00 Required Technologies.
01:42 The Processes of Uploading a Mind.
03:32 Positive Impacts On Society.
05:34 When Will It Become Possible?
05:53 Is Digital Immortality Potentially Dangerous?

Continue reading “The Future of Digital Immortality [Documentary]” »

Meet AV1, the mini robot that goes to the zoo or school for sick children who can’t.

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Continue reading “This robot helps beat loneliness for sick children” »