Lifeboat Foundation

That general question is still hard to answer, again in part because of those pesky errors. (Future quantum machines will compensate for their imperfections using a technique called quantum error correction, but that capability is still a ways off.) Is it possible to get the hoped-for runaway quantum advantage even with uncorrected errors?

Most researchers suspected the answer was no, but they couldn’t prove it for all cases. Now, in a paper posted to the preprint server arxiv.org, a team of computer scientists has taken a major step toward a comprehensive proof that error correction is necessary for a lasting quantum advantage in random circuit sampling — the bespoke problem that Google used to show quantum supremacy. They did so by developing a classical algorithm that can simulate random circuit sampling experiments when errors are present.

This post is also available in: עברית (Hebrew)

Hackers constantly improve at penetrating cyber defenses to steal valuable documents. So some researchers propose using an artificial-intelligence algorithm to hopelessly confuse them, once they break-in, by hiding the real deal amid a mountain of convincing fakes. The algorithm, called Word Embedding–based Fake Online Repository Generation Engine (WE-FORGE), generates decoys of patents under development. But someday it could “create a lot of fake versions of every document that a company feels it needs to guard,” says its developer, Dartmouth College cybersecurity researcher V. S. Subrahmanian.

If hackers were after, say, the formula for a new drug, they would have to find the relevant needle in a haystack of fakes. This could mean checking each formula in detail—and perhaps investing in a few dead-end recipes. “The name of the game here is, ‘Make it harder,’” Subrahmanian explains. “‘Inflict pain on those stealing from you.’”

A new algorithm is probably not efficient enough to crack current encryption keys — but that’s no reason for complacency, researchers say.

Great advice here. I follow much of it; my diet is good though there is a little bit of processed stuff in it. I do not drink or smoke. Interesting that Dr Stanfield has a rapamycin human trial going.

We have the tools available today to have a healthy 105-year lifespan, and I’ll summarise it all in this video. Plus at the end we’ll go through the emerging therapies in the longevity space that will push us towards a healthy 120-year lifespan.

Continue reading “How To Have A HEALTHY 105-Year Lifespan (Soon 120-Years)” »

An app developed by a Princeton University student helps determine if a text is written by a human or by the artificial intelligence tool ChatGPT.

Edward Tian, a senior cs major, stated in a tweet that his algorithm, GPTZero, can “quickly, efficiently detect whether an essay or article or any text is written by ChatGPT or human.” You can download the beta version of this app here.

ChatGPT is gaining popularity for its ability to generate coherent essays on any topic in seconds. Investors are interested in the technology, according to Wall Street Journal. OpenAI parent company could soon attract investment valued at $29 billion.

GOOGLE’S NEW SENSOR DENOISNG ALGORITHM brings yet another game changer for LOW LIGHT PHOTOGRAPHY. Within a handful of years, this will be added to other factors coming down the pipe, giving further impetus to a revolution in night vision. The video below speaks for itself. In effect, the system takes a series of images from different angles, exposures, and so on, then accurately reconstructs what is missing:

❤️ Check out Weights & Biases and sign up for a free demo here: https://wandb.com/papers.

Continue reading “Google’s New AI Learned To See In The Dark! 🤖” »

Google co-founder Sergey Brin has taken a rather similar stance as Tesla CEO Elon Musk on artificial intelligence, emphasizing AI dangers in a recent investor communication. According to the Russian-born billionaire, the present day is an era of possibilities, but it is also a time when responsibility has to be practiced, particularly when it comes to emerging technologies.

“We’re in an era of great inspiration and possibility, but with this opportunity comes the need for tremendous thoughtfulness and responsibility as technology is deeply and irrevocably interwoven into our societies,” he wrote.

Brin’s statements were outlined in Alphabet’s recent Founders’ Letter, where the 44-year-old billionaire described how Google is utilizing bleeding-edge technology for its ventures. While AI as a discipline is still an emerging field, Brin noted that there are already a lot of everyday applications for the technology. Among these are the algorithms utilized by Waymo’s self-driving cars, the smart cooling units of Google’s data centers, and of course, Google Translate and YouTube’s automatic captions.

Apple Inc. recently added audiobook narration to the growing list of occupations where algorithms are poised to replace humans alongside graphic designers, college essayists and limerick writers. Luckily, the fine art of newslettering remains (ahem) far beyond the capabilities of even the most sophisticated artificial intelligence software. Still, hope is at hand for those not fortunate enough to toil in the newsletter mines but still seeking gainful employment that won’t disappear as robots take control.

To remain employed in an AI-dominated workplace, train as an artisan.

In mathematical physics, a closed timelike curve (CTC) is a world line in a Lorentzian manifold, of a material particle in spacetime, that is “closed”, returning to its starting point. This possibility was first discovered by Willem Jacob van Stockum in 1937^[1] and later confirmed by Kurt Gödel in 1949,^[2] who discovered a solution to the equations of general relativity (GR) allowing CTCs known as the Gödel metric; and since then other GR solutions containing CTCs have been found, such as the Tipler cylinder and traversable wormholes.