Lifeboat Foundation: Safeguarding Humanity
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“Right now, organizations see a twofold gain from consolidating around a platform player in cybersecurity,” Nichols said. The first is, “to increase efficiency” but the other, he pointed out, is legislation. With more regulatory oversight in how companies are handling their cybersecurity challenges, the pressure is on them to make their systems more resilient, and having too many components becomes a challenge to manage for that reason, too.

“Joining One Identity provides us with the ability to further accelerate our growth and provide additional value for both of our customers,” added Brad Brooks, CEO of OneLogin, in a statement. “With OneLogin’s robust unified platform for both workforce and CIAM, combining forces with One Identity’s suite of products including their PAM solution will allow new and existing customers, on a global scale, to tap into the market’s only unified identity security platform.” consolidation is afoot in the world of cybersecurity, specifically around services to help organizations manage identity and access. Today, One Identity — which provides tools for managing “zero trust” access to systems, as well as running log management and other governance services for enterprises — announced that it has acquired OneLogin, a rival to companies like Okta, Ping and others in the area of secure sign-on services for end users.

Terms of the acquisition — which officially closed last week, on October 1 — are not being disclosed, but we are trying to find out.

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Enterprises of all sizes and across virtually all markets are scrambling to augment their analytics capabilities with artificial intelligence (AI) in the hopes of gaining a competitive advantage in a challenging post-pandemic economy.

Plenty of anecdotal evidence points to AI’s ability to improve analytics, but there seems to be less conversation around how it should be implemented in production environments, let alone how organizations should view it strategically over the long term.

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What if none of this is real? What if everything we see, hear, touch, taste, smell, and perceive is part of a gigantic simulation designed to keep us contained? And what if the beings who built this simulation are part of a highly advanced alien species that created the simulation so they could study us and keep us under control.

This is the essence of the “Zoo Hypothesis,” which is a proposed resolution to the Fermi Paradox. It is also sometimes referred to as the “Planetarium Hypothesis” as a way of clarifying that the intention of the big simulation is not to protect but to control. Moreover, the zookeepers in this scenario have designed the simulation so that humanity won’t suspect they are living in a cage.

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Brief summary of this episode:

- (1:35) OpenAI: AI Beneficial for All.
- (7:15) AI as an existential risk.
- (11:47) Safe AI development.
- (16:16) Neuralink — “If you can’t beat ‘em, join ‘em.“
- (19:04) The Future of AI

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Neura Pod is a series covering topics related to Neuralink, Inc. Topics such as brain-machine interfaces, brain injuries, and artificial intelligence will be explored. Host Ryan Tanaka synthesizes informationopinions, and conducts interviews to easily learn about Neuralink and its future.

Continue reading “OpenAI & Neuralink: Shaping Our AI Future” | >

Imagine you sit down and pick up your favourite book. You look at the image on the front cover, run your fingers across the smooth book sleeve, and smell that familiar book smell as you flick through the pages. To you, the book is made up of a range of sensory appearances.

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While wind turbine and solar power platforms are beginning to take to the sea, another, more established form of power might also avoid hiking real estate costs.

A Copenhagen-based startup just raised funding to the sum of eight figures in Euros to begin construction of a new kind of cheap, flexible, portable, and unyieldingly safe nuclear reactor, according to a press release shared by the company, Seaborg Technologies.

And, crucially, the timeline for global deployment will shatter conventional paradigms in the energy industry.

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It can be difficult to distinguish between substance and hype in the field of artificial intelligence. In order to stay grounded, it is important to step back from time to time and ask a simple question: what has AI actually accomplished or enabled that makes a difference in the real world?

This summer, DeepMind delivered the strongest answer yet to that question in the decades-long history of AI research: AlphaFold, a software platform that will revolutionize our understanding of biology.

In 1,972 in his acceptance speech for the Nobel Prize in Chemistry, Christian Anfinsen made a historic prediction: it should in principle be possible to determine a protein’s three-dimensional shape based solely on the one-dimensional string of molecules that comprise it.

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Effective methods for decoupling superconducting qubits (SQs) from parasitic environmental noise sources are critical for increasing their lifetime and phase fidelity. While considerable progress has been made in this area, the microscopic origin of noise remains largely unknown. In this work, first principles density functional theory calculations are employed to identify the microscopic origins of magnetic noise sources in SQs on an α-Al_{2}O_{3} substrate. The results indicate that it is unlikely that the existence of intrinsic point defects and defect complexes in the substrate are responsible for low frequency noise in these systems. Rather, a comprehensive analysis of extrinsic defects shows that surface aluminum ions interacting with ambient molecules will form a bath of magnetic moments that can couple to the SQ paramagnetically. The microscopic origin of this magnetic noise source is discussed and strategies for ameliorating the effects of these magnetic defects are proposed.

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