Lifeboat Foundation

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.

Even though the guts of General Relativity are obtusely mathematical, and for decades was relegated to math departments rather than proper physics, you get to experience the technological gift of relativity every time you navigate to your favorite restaurant. GPS, the global positioning system, consists of a network of orbiting satellites constantly beaming out precise timing data. Your phone compares those signals to figure out where you are on the Earth. But there is a difference in spacetime between the surface of the Earth and the orbit of the satellites. Without taking general relativity into account, your navigation would simply be incorrect, and you’d be late for dinner.

As revolutions go, general relativity is a big one. And as unifications go, it’s a warning. To make this union happen Einstein had to radically, permanently alter not just our conceptions of gravity as a force acting through space and time, but our conceptions of space and time itself. It took no less than a complete overhaul of our entire philosophical understanding of the relation between space and time to bridge the gap.

Continue reading “Holograms Might Save Physics” »

I dont know about sleep weapons, it s possible probably. More concerning to me, i read a paper 20+ years back about cell towers and cell phone frequencies as a possible tool for mind control, some way connected to frequency of human brain.

China’s military is developing advanced psychological warfare and brain-influencing weapons as part of a new warfighting strategy, according to a report on People’s Liberation Army cognitive warfare.

The report, “Warfare in the Cognitive Age: NeuroStrike and the PLA’s Advanced Psychological Weapons and Tactics,” was published earlier this month by The CCP Biothreats Initiative, a research group.

Continue reading “Chinese brain warfare includes sleep weapons, thought control” »

2024 vehicles from high-end automakers will get the first taste of Apple’s “cohesive design experience that is the very best of your car and your iPhone.”

FYI, just in case you’re car shopping.

Electronics that mimic the treelike branches that form the network neurons use to communicate with each other could lead to artificial intelligence that no longer requires the megawatts of power available in the cloud. AI will then be able to run on the watts that can be drawn from the battery in a smartphone, a new study suggests.

As the brain-imitating AI systems known as neural networks grow in size and power, they are becoming more expensive and energy-hungry. For instance, to train its state-of-the-art neural network GPT-3, OpenAI spent US $4.6 million to run 9,200 GPUs for two weeks. Generating the energy that GPT-3 consumed during training released as much carbon as 1,300 cars would have spewed from their tailpipes over the same time, says study author Kwabena Boahen, a neuromorphic engineer at Stanford University, in California.

Now Boahen proposes a way for AI systems to boost the amount of information conveyed in each signal they transmit. This could reduce both the energy and space they currently demand, he says.

Causality is key to our experience of reality: dropping a glass, for example, causes it to smash, so it can’t smash before it’s dropped. But in the quantum world those rules don’t necessarily apply, and scientists have now demonstrated how that weirdness can be harnessed to charge a quantum battery.

In a sense, you could say that quantum batteries are powered by paradoxes. On paper, they work by storing energy in the quantum states of atoms and molecules – but of course, as soon as the word “quantum” enters the conversation you know weird stuff is about to happen. In this case, a new study has found that quantum batteries could work by violating cause-and-effect as we know it.

“Current batteries for low-power devices, such as smartphones or sensors, typically use chemicals such as lithium to store charge, whereas a quantum battery uses microscopic particles like arrays of atoms,” said Yuanbo Chen, an author of the study. “While chemical batteries are governed by classical laws of physics, microscopic particles are quantum in nature, so we have a chance to explore ways of using them that bend or even break our intuitive notions of what takes place at small scales. I’m particularly interested in the way quantum particles can work to violate one of our most fundamental experiences, that of time.”

Plus: a marketing group says it can listen to consumer conversations through their phones.

On this episode, learn about digital addiction, and the symptoms of technology addiction with our guest Anna Lembke is a psychiatrist currently working as the Chief of Addiction Medicine at Stanford’s Dual Diagnosis clinic. She was recently interviewed for the Social Dilemma, the amazing Netflix documentary exploring the dangers of social media. On this episode, we really dive deep into the heart of digital addiction—the symptoms of technology addiction, how it starts, how it controls our behavior, and how to escape its magnetic pull. But more specifically, we explore the role of social media and smartphones, and how these tools are hijacking our evolutionary drive for novelty, pleasure, exploration, and connection with other human beings.

Anna Lembke is a psychiatrist who is Chief of the Stanford Addiction Medicine Dual Diagnosis Clinic at Stanford University and an author. Dopamine is a key neurotransmitter in our reward pathway. It tells us when to feel pleasure and pain, it can cause depression and anxiety, and it’s being hijacked by the modern world. Phones, video games, porn, food, our world is filled with cheap dopamine, which in turn is making us miserable. Expect to learn how dopamine creates a see-saw balance of pleasure and pain, why cravings to use your phone are driven by dopamine, the truth about dopamine detoxing, how to reset your brain’s dopamine balance, the most successful interventions for changing your relationship to dopamine long term and much more…