Lifeboat Foundation

Watchdog Which? wants Google to be more transparent about security updates for old phones.

If shit ever hits the fan it is good to have a personal library downloaded on your phone. Because your phone be worthless but a digital library will not be.

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Another important question is the extent to which continued increases in computational capacity are economically viable. The Stanford Index reports a 300,000-fold increase in capacity since 2012. But in the same month that the Report was issued, Jerome Pesenti, Facebook’s AI head, warned that “The rate of progress is not sustainable…If you look at top experiments, each year the cost is going up 10-fold. Right now, an experiment might be in seven figures but it’s not going to go to nine or 10 figures, it’s not possible, nobody can afford that.”

AI has feasted on low-hanging fruit, like search engines and board games. Now comes the hard part — distinguishing causal relationships from coincidences, making high-level decisions in the face of unfamiliar ambiguity, and matching the wisdom and commonsense that humans acquire by living in the real world. These are the capabilities that are needed in complex applications such as driverless vehicles, health care, accounting, law, and engineering.

Despite the hype, AI has had very little measurable effect on the economy. Yes, people spend a lot of time on social media and playing ultra-realistic video games. But does that boost or diminish productivity? Technology in general and AI in particular are supposed to be creating a new New Economy, where algorithms and robots do all our work for us, increasing productivity by unheard-of amounts. The reality has been the opposite. For decades, U.S. productivity grew by about 3% a year. Then, after 1970, it slowed to 1.5% a year, then 1%, now about 0.5%. Perhaps we are spending too much time on our smartphones.

Another patent leak shows that Samsung is bringing unexpected tech to the Galaxy Note 20 phablet.

The fact that self-driving trucks did not initially capture the public imagination is perhaps not entirely shocking. After all, most people have never been inside a truck, let alone a self-driving one, and don’t give them more than a passing thought. But just because trucks aren’t foremost in most people’s thoughts, doesn’t mean trucks don’t impact everyone’s lives day in and day out. Trucking is an $800 billion industry in the US. Virtually everything we buy — from our food to our phones to our furniture — reaches us via truck. Automating the movement of goods could, therefore, have at least as profound an impact on our lives as automating how we move ourselves. And people are starting to take notice.

As self-driving industry pioneers, we’re not surprised: we have been saying this for years. We founded Kodiak Robotics in 2018 with the vision of launching a freight carrier that would drive autonomously on highways, while continuing to use traditional human drivers for first- and last-mile pickup and delivery. We developed this model because our experience in the industry convinced us that today’s self-driving technology is best-suited for highway driving. While training self-driving vehicles to drive on interstate highways is complicated, hard work, it’s a much simpler, more constrained problem than driving on city streets, which have pedestrians, public transportation, bikes, pets, and other things that make cities great to live in but difficult for autonomous technology to understand and navigate.

Humans have been studying electric charge for thousands of years, and the results have shaped modern civilization. Our daily lives depend on electric lighting, smartphones, cars, and computers, in ways that the first individuals to take note of a static shock or a bolt of lightning could never have imagined.

Now, physicists at Northeastern have discovered a new way to manipulate electric charge. And the changes to the future of our technology could be monumental.

“When such phenomena are discovered, imagination is the limit,” says Swastik Kar, an associate professor of physics. “It could change the way we can detect and communicate signals. It could change the way we can sense things and the storage of information, and possibilities that we may not have even thought of yet.”

As American drone operators try to understand how the U.S. Federal Aviation Administration’s (FAA) drone Remote Identification proposal would affect them, one of the most concerning issues is proving to be the requirement that every drone transmit the location of its pilot in near-real time.

The ability to locate a drone pilot is extremely useful for police, airports and other authorities to quickly resolve safety and security challenges, but we also understand why some drone pilots don’t want their location available to just anyone. DJI, like other companies innovating Remote ID systems, must follow the FAA’s lead on pilot location, so our demonstration solutions have made that information available to anyone with a smartphone. But that requirement isn’t final.

Now, two new developments are shining a spotlight on the FAA’s proposed pilot location requirement – and at just the right time when American drone pilots can make their voices heard about it.

Moving ever closer to the Web v.5.0 – an immersive virtual playground of the Metaverse – would signify a paramount convergent moment that MIT’s Rizwan Virk calls ‘The Simulation Point’ and I prefer to call the ‘Simulation Singularity’. Those future virtual worlds could be wholly devised and “fine-tuned” with a possibility to encode different sets of “physical laws and constants” for our enjoyment and exploration.

We are in the “kindergarten of godlings” right now. One could easily envision that with exponential development of AI-powered multisensory immersive technologies, by the mid-2030s most of us could immerse in “real virtualities” akin to lifestyles of today’s billionaires. Give it another couple of decades, each of us might opt to create and run their own virtual universe with [simulated] physics indistinguishable from the physics of our world. Or, you can always “fine-tune” the rule set, or tweak historical scenarios at will.

How can we be so certain about the Simulation Singularity circa 2035? By our very nature, we humans are linear thinkers. We evolved to estimate a distance from the predator or to the prey, and advanced mathematics is only a recent evolutionary addition. This is why it’s so difficult even for a modern man to grasp the power of exponentials. 40 steps in linear progression is just 40 steps away; 40 steps in exponential progression is a cool trillion (with a T) – it will take you 3 times from Earth to the Sun and back to Earth.

Continue reading “Nearing the Simulation Singularity: What Would Immersive Computing Mean to the Human Mentality?” »

Mobile World Congress, or MWC, was going to proceed because there were still 2,800 exhibitors. Now it’s being canceled.