Lifeboat Foundation

For most adults, the majority of waking daily life is spent at work. That offers employers an opportunity to influence their employees’ physical, mental, social, and spiritual health.

To support the move to better health, the McKinsey Health Institute (MHI), along with other organizations such as the World Health Organization (WHO), are highlighting a more modern way to view health beyond illness and its absence.¹ Adding years to life and life to years, McKinsey, March 29, 2022; A 2022 MHI survey on global health perspectives found that more than 40 percent of respondents who reported having a disease still perceived their health as good or very good, while more than 20 percent of those who reported no disease said they were in fair, poor, or very poor health. Embracing the concept of holistic health—an integrated view of an individual’s mental, physical, spiritual, and social functioning² Previous work from MHI has defined each dimension of health in detail. For more details, see Adding years to life and life to years. Using this definition means that we emphasize “functioning.

This interview is an episode from @The-Well, our publication about ideas that inspire a life well-lived, created with the @JohnTempletonFoundation.

Watch Lisa Feldman Barrett’s next interview ► • The biggest myths about emotions, deb…

Continue reading “Your brain doesn’t detect reality. It creates it. | Lisa Feldman Barrett” »

As the company’s first tile-based CPU based on its new Intel 4 process, this is an entirely different CPU from everything that has come before it.

Large Language Models (LLMs) are exceptionally resource-intensive on the CPU and memory, but Apple is said to be experimenting with storing this technology on flash storage, likely to make it easily accessible on multiple devices. However, the technology giant also wishes to make LLMs ubiquitous on its iPhone and Mac lineup and is exploring ways to make this possible.

Storing LLMs on flash memory has been difficult; Apple aims to fix this on machines with limited capacity

Under typical conditions, Large Language Models require AI accelerators and a high DRAM capacity to be stored. As reported by TechPowerUp, Apple is working to bring the same technology, but to devices that sport limited memory capacity. In a newly published paper, Apple has published a paper that aims to bring LLMs to devices with limited memory capacity. iPhones have limited memory too, so Apple researchers have developed a technique that uses flash chips to store the AI model’s data.

Today’s infrared lasers are only powerful enough to disable aerial targets, but scientists now have the keys to building high-powered laser weaponry that can ‘melt’ distant targets.

Elon Musk and “conscious AI.” Please visit https://brilliant.org/digitalengine — a great place to learn about AI and STEM subjects. You can get started for free and the first 200 people will get 20% off a premium annual subscription.

Continue reading “This AI says it’s conscious and experts are starting to agree. w Elon Musk” »

Scientists have discovered a new class of materials, carbon nitrides, which could rival diamonds in hardness. This discovery, the result of international collaboration and decades of research, opens up possibilities for various industrial applications due to their durability and other properties like photoluminescence and high energy density. Funded by international grants and published in Advanced Materials, this breakthrough marks a significant advancement in material science.

Scientists have solved a decades-long puzzle and unveiled a near unbreakable substance that could rival diamond, as the hardest material on earth, a study says.

Researchers found that when carbon and nitrogen precursors were subjected to extreme heat and pressure, the resulting materials – known as carbon nitrides – were tougher than cubic boron nitride, the second hardest material after diamond.

Shirriff’s blog goes into a deep dive with a look inside the HP PHI chip, its construction, and die. He even examines its logic gates, first-in-first-out buffers (FIFOs), and address decoder. Please check out the blog for all these finer details and more.

In conclusion, the computer historian echoes our initial thoughts that this silicon-on-sapphire IC is “interesting as an example of a ‘technology of the future’ that didn’t quite pan out.”

Shirriff also contrasts late 70s era processors built on silicon-on-sapphire vs regular silicon in terms of energy consumption and clock speeds. Would you be surprised to hear that silicon-on-sapphire ICs were far superior using these metrics? Things might have panned out differently if these transparent ICs had been mass-produced at better yields and lower manufacturing costs. A frightening statistic highlighted by Shirriff is that HP’s silicon-on-sapphire yields were a mere 9%.

The world works at different levels — fundamental physics, physics, chemistry, biology, psychology, sociology — with each level having its own rules and regularities. Here’s the deep question: Ultimately, can what happens at a higher level be explained entirely in terms of what happens at a lower level? If the answer is ‘No’, if complete explanatory reduction fails, then what else could be going on?\
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George Francis Rayner Ellis is the Emeritus Distinguished Professor of Complex Systems in the Department of Mathematics and Applied Mathematics at the University of Cape Town in South Africa.\
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