Apple’s Satellite-Based ‘Emergency SOS’ Prompts Speculation on Future Plans

First, a rumor from the blog Phone Arena. “Not to be outdone by Apple and Huawei, Samsung is planning to incorporate satellite connectivity options in its Galaxy phones as well, hints leakster Ricciolo.”

But it’s not the first rumor we’ve heard about phone vendors and satellites. “Cringley Predicts Apple is About to Create a Satellite-Based IoT Business ,” read the headline in June. Long-time tech pundit Robert X. Cringely predicted that Apple would first offer some limited satellite-based functionality,

But he’d also called those services “proxies for Apple entering — and then dominating — the Internet of Things (IoT) business. “After all, iPhones will give them 1.6 billion points of presence for AirTag detection even on sailboats in the middle of the ocean — or on the South Pole…. Ubiquity (being able to track anything in near real time anywhere on the planet) signals the maturity of IoT, turning it quickly into a $1 TRILLION business — in this case Apple’s $1 TRILLION business.” And beyond that, “in the longer run Cupertino plans to dis-intermediate the mobile carriers — becoming themselves a satellite-based global phone and data company [and] they will also compete with satellite Internet providers like Starlink, OneWeb, and Amazon’s Kuiper.”

So how did Cringely react last week when Apple announced “Emergency SOS” messaging for the iPhone 14 and 14 Plus — via communication satellites — when their users are out of range of a cell signals? He began by wondering if Apple was intentionally downplaying the satellite features:

They limited their usage case to emergency SOS texts in the USA and Canada, sorta said it would be just for iPhone 14s, and be free for only the first two years. They showed a satellite app and very deliberately tried to make it look difficult to use. They gave no technical details and there was no talk of industry partners.

Yet there were hints of what’s to come. We (you and I, based on my previous column) already knew, for example, that ANY iPhone can be made to work with Globalstar. We also knew the deal was with Globalstar, which Apple never mentioned but Globalstar confirmed, more or less, later in the day in an SEC filing. But Apple DID mention Find My and Air Tags, notably saying they’d work through the satellites even without having to first beseech the sky with an app. So the app is less than it seems and Apple’s satellite network will quickly find its use for the Internet of Things [Cringely predicts]….

Apple very specifically said nothing about the global reach of Find My and Air Tags. There is no reason why those services can’t have immediate global satellite support, given that the notification system is entirely within Apple’s ecosystem and is not dependent on 911-type public safety agreements.

Maybe it will take a couple years to cover the world with SOS, but not for Find My, which means not for IoT — a business headed fast toward $1 trillion and will therefore [hypothetically] have a near-immediate impact on Apple’s bottom line.

Speculating further, Cringely predicts that Globalstar — which has ended up with vast tracts of licensed spectrum — will eventually be purchased by a larger company. (“If not Apple, maybe Elon Musk.”)

And this leads Cringely to yet another prediction. “If Elon can’t get Globalstar, he and his partners will push for the regulatory expansion into space of terrestrial 5G licenses, which will probably be successful.”

This will happen, frankly, whether SpaceX and T-Mobile are successful or not, because AST&Science and its investors AT&T, Verizon and Zodafone need 5G in space, too, to compete with Apple. So there WILL eventually be satellite competition for Apple and I think the International Telecommunication Union will eventually succumb to industry pressure.
And by the end Cringely is also speculating about just how Apple will come up with innovative new satellite designs on a faster schedule…

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Ask Slashdot: What Was Your First Computer?

Long-time Slashdot reader destinyland writes: Today GitHub’s official Twitter account asked the ultimate geek-friendly question. “You never forget your first computer. What was yours?”

And within 10 hours they’d gotten 2,700 responses.

Commodore 64, TRS-80, Atari 800, Compaq Presario… People posted names you haven’t heard in years, like they were sharing memories of old friends. Gateway 2000, Sony VAIO, Vic-20, Packard Bell… One person just remembered they’d had “some sort of PC that had an orange and black screen with text and QBasic. It couldn’t do much more than store recipes and play text based games.”

And other memories started to flow. (“Jammed on Commander Keen & Island of Dr. Brain…”
“Dammit that Doom game was amazing, can’t forget Oregon Trail…”)

Sharp PC-4500, Toshiba T3200, Timex Sinclair 1000, NEC PC-8801. Another’s first computer was “A really really old HP laptop that has a broken battery!”

My first computer was an IBM PS/2. It had a 2400 baud internal modem. Though in those long-ago days before local internet services, it was really only good for dialing up BBS’s. I played chess against a program on a floppy disk that I got from a guy from work.

Can you still remember yours? Share your best memories in the comments.

What was your first computer?

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Will AI Really Perform Transformative, Disruptive Miracles?

“An encounter with the superhuman is at hand,” argues Canadian novelist, essayist, and cultural commentator Stephen Marche in an article in the Atlantic titled “Of Gods and Machines”. He argues that GPT-3’s 175 billion parameters give it interpretive power “far beyond human understanding, far beyond what our little animal brains can comprehend. Machine learning has capacities that are real, but which transcend human understanding: the definition of magic.”

But despite being a technology where inscrutability “is an industrial by-product of the process,” we may still not see what’s coming, Marche argue — that AI is “every bit as important and transformative as the other great tech disruptions, but more obscure, tucked largely out of view.”
Science fiction, and our own imagination, add to the confusion. We just can’t help thinking of AI in terms of the technologies depicted in Ex Machina, Her, or Blade Runner — people-machines that remain pure fantasy. Then there’s the distortion of Silicon Valley hype, the general fake-it-’til-you-make-it atmosphere that gave the world WeWork and Theranos: People who want to sound cutting-edge end up calling any automated process “artificial intelligence.” And at the bottom of all of this bewilderment sits the mystery inherent to the technology itself, its direct thrust at the unfathomable. The most advanced NLP programs operate at a level that not even the engineers constructing them fully understand.

But the confusion surrounding the miracles of AI doesn’t mean that the miracles aren’t happening. It just means that they won’t look how anybody has imagined them. Arthur C. Clarke famously said that “technology sufficiently advanced is indistinguishable from magic.” Magic is coming, and it’s coming for all of us….

And if AI harnesses the power promised by quantum computing, everything I’m describing here would be the first dulcet breezes of a hurricane. Ersatz humans are going to be one of the least interesting aspects of the new technology. This is not an inhuman intelligence but an inhuman capacity for digital intelligence. An artificial general intelligence will probably look more like a whole series of exponentially improving tools than a single thing. It will be a whole series of increasingly powerful and semi-invisible assistants, a whole series of increasingly powerful and semi-invisible surveillance states, a whole series of increasingly powerful and semi-invisible weapons systems. The world would change; we shouldn’t expect it to change in any kind of way that you would recognize.

Our AI future will be weird and sublime and perhaps we won’t even notice it happening to us. The paragraph above was composed by GPT-3. I wrote up to “And if AI harnesses the power promised by quantum computing”; machines did the rest.

Stephen Hawking once said that “the development of full artificial intelligence could spell the end of the human race.” Experts in AI, even the men and women building it, commonly describe the technology as an existential threat. But we are shockingly bad at predicting the long-term effects of technology. (Remember when everybody believed that the internet was going to improve the quality of information in the world?) So perhaps, in the case of artificial intelligence, fear is as misplaced as that earlier optimism was.

AI is not the beginning of the world, nor the end. It’s a continuation. The imagination tends to be utopian or dystopian, but the future is human — an extension of what we already are…. Artificial intelligence is returning us, through the most advanced technology, to somewhere primitive, original: an encounter with the permanent incompleteness of consciousness…. They will do things we never thought possible, and sooner than we think. They will give answers that we ourselves could never have provided.

But they will also reveal that our understanding, no matter how great, is always and forever negligible. Our role is not to answer but to question, and to let our questioning run headlong, reckless, into the inarticulate.

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GPU Mining No Longer Profitable After Ethereum Merge

Just one day after the Ethereum Merge, where the cryptocoin successfully switched from Proof of Work (PoW) to Proof of Stake (PoS), profitability of GPU mining has completely collapsed. Tom’s Hardware reports: That means the best graphics cards should finally be back where they belonged, in your gaming PC, just as god intended. That’s a quick drop, considering yesterday there were still a few cryptocurrencies that were technically profitable. Looking at WhatToMine, and using the standard $0.10 per kWh, the best-case results are with the GeForce RTX 3090 and Radeon RX 6800 and 6800 XT. Those are technically showing slightly positive results, to the tune of around $0.06 per day after power costs. However, that doesn’t factor in the cost of the PC power, or the wear and tear on your graphics card.

Even at a slightly positive net result, it would still take over 20 years to break even on the cost of an RX 6800. We say that tongue-in-cheek, because if there’s one thing we know for certain, it’s that no one can predict what the cryptocurrency market will look like even one year out, never mind 20 years in the future. It’s a volatile market, and there are definitely lots of groups and individuals hoping to figure out a way to Make GPU Mining Profitable Again (MGMPA hats inbound…)

Of the 21 current generation graphics cards from the AMD RX 6000-series and the Nvidia RTX 30-series, only five are theoretically profitable right now, and those are all just barely in the black. This is using data from NiceHash and WhatToMine, so perhaps there are ways to tune other GPUs to get into the net positive, but the bottom line is that no one should be using GPUs for mining right now, and certainly not buying more GPUs for mining purposes. [You can see a full list of the current profitability of the current generation graphics cards here.]

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Scientists Try To Teach Robot To Laugh At the Right Time

Laughter comes in many forms, from a polite chuckle to a contagious howl of mirth. Scientists are now developing an AI system that aims to recreate these nuances of humor by laughing in the right way at the right time. The Guardian reports: The team behind the laughing robot, which is called Erica, say that the system could improve natural conversations between people and AI systems. “We think that one of the important functions of conversational AI is empathy,” said Dr Koji Inoue, of Kyoto University, the lead author of the research, published in Frontiers in Robotics and AI. “So we decided that one way a robot can empathize with users is to share their laughter.”

Inoue and his colleagues have set out to teach their AI system the art of conversational laughter. They gathered training data from more than 80 speed-dating dialogues between male university students and the robot, who was initially teleoperated by four female amateur actors. The dialogue data was annotated for solo laughs, social laughs (where humor isn’t involved, such as in polite or embarrassed laughter) and laughter of mirth. This data was then used to train a machine learning system to decide whether to laugh, and to choose the appropriate type. It might feel socially awkward to mimic a small chuckle, but empathetic to join in with a hearty laugh. Based on the audio files, the algorithm learned the basic characteristics of social laughs, which tend to be more subdued, and mirthful laughs, with the aim of mirroring these in appropriate situations.

It might feel socially awkward to mimic a small chuckle, but empathetic to join in with a hearty laugh. Based on the audio files, the algorithm learned the basic characteristics of social laughs, which tend to be more subdued, and mirthful laughs, with the aim of mirroring these in appropriate situations. “Our biggest challenge in this work was identifying the actual cases of shared laughter, which isn’t easy because as you know, most laughter is actually not shared at all,” said Inoue. “We had to carefully categorize exactly which laughs we could use for our analysis and not just assume that any laugh can be responded to.” […] The team said laughter could help create robots with their own distinct character. “We think that they can show this through their conversational behaviours, such as laughing, eye gaze, gestures and speaking style,” said Inoue, although he added that it could take more than 20 years before it would be possible to have a “casual chat with a robot like we would with a friend.” “One of the things I’d keep in mind is that a robot or algorithm will never be able to understand you,” points out Prof Sandra Wachter of the Oxford Internet Institute at the University of Oxford. “It doesn’t know you, it doesn’t understand you and doesn’t understand the meaning of laughter.”

“They’re not sentient, but they might get very good at making you believe they understand what’s going on.”

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Crispr Gene-Editing Drugs Show Promise In Preliminary Study

Intellia Therapeutics reported encouraging early-stage study results for its Crispr gene-editing treatments, the latest sign that the pathbreaking technology could result in commercially available drugs in the coming years. The Wall Street Journal reports: Intellia said Friday that one of its treatments, code-named NTLA-2002, significantly reduced levels of a protein that causes periodic attacks of swelling in six patients with a rare genetic disease called hereditary angioedema, or HAE. In a separate study building on previously released trial data, Intellia’s treatment NTLA-2001 reduced a disease-causing protein by more than 90% in 12 people with transthyretin-mediated amyloidosis cardiomyopathy, or ATTR-CM, a genetic disease that can lead to heart failure.

Despite the positive results, questions remain about whether therapies based on Crispr will work safely and effectively, analysts said. Intellia’s latest studies involved a small number of patients, and were disclosed in news releases and haven’t been published in a peer-reviewed journal. The NTLA-2002 study results were presented at the Bradykinin Symposium in Berlin, a medical meeting focused on angioedema. The data came from small, so-called Phase 1 studies conducted in New Zealand and the U.K. that didn’t include control groups. Results from such early studies can be unreliable predictors of a drug’s safety and effectiveness once the compound is tested in larger numbers of patients. The findings, nevertheless, add to preliminary but promising evidence of the potential for drugs based on the gene-editing technology. Last year, Intellia said that NTLA-2001 reduced the disease-causing protein involved in ATTR patients.

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Customs Officials Have Copied Americans’ Phone Data at Massive Scale

SpzToid writes: U.S. government officials are adding data from as many as 10,000 electronic devices each year to a massive database they’ve compiled from cellphones, iPads and computers seized from travelers at the country’s airports, seaports and border crossings, leaders of Customs and Border Protection told congressional staff in a briefing this summer. The rapid expansion of the database and the ability of 2,700 CBP officers to access it without a warrant — two details not previously known about the database — have raised alarms in Congress about what use the government has made of the information, much of which is captured from people not suspected of any crime. CBP officials told congressional staff the data is maintained for 15 years.

Details of the database were revealed Thursday in a letter to CBP Commissioner Chris Magnus from Sen. Ron Wyden (D-Ore.), who criticized the agency for “allowing indiscriminate rifling through Americans’ private records” and called for stronger privacy protections. The revelations add new detail to what’s known about the expanding ways that federal investigators use technology that many Americans may not understand or consent to. Agents from the FBI and Immigration and Customs Enforcement, another Department of Homeland Security agency, have run facial recognition searches on millions of Americans’ driver’s license photos. They have tapped private databases of people’s financial and utility records to learn where they live. And they have gleaned location data from license-plate reader databases that can be used to track where people drive.

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Increase in LED Lighting ‘Risks Harming Human and Animal Health’

Blue light from artificial sources is on the rise, which may have negative consequences for human health and the wider environment, according to a study. From a report: Academics at the University of Exeter have identified a shift in the kind of lighting technologies European countries are using at night to brighten streets and buildings. Using images produced by the International Space Station (ISS), they have found that the orange-coloured emissions from older sodium lights are rapidly being replaced by white-coloured emissions produced by LEDs. While LED lighting is more energy-efficient and costs less to run, the researchers say the increased blue light radiation associated with it is causing “substantial biological impacts” across the continent. The study also claims that previous research into the effects of light pollution have underestimated the impacts of blue light radiation.

Chief among the health consequences of blue light is its ability to suppress the production of melatonin, the hormone that regulates sleep patterns in humans and other organisms. Numerous scientific studies have warned that increased exposure to artificial blue light can worsen people’s sleeping habits, which in turn can lead to a variety of chronic health conditions over time. The increase in blue light radiation in Europe has also reduced the visibility of stars in the night sky, which the study says “may have impacts on people’s sense of nature.” Blue light can also alter the behavioural patterns of animals including bats and moths, as it can change their movements towards or away from light sources.

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California Governor Signs Sweeping Children’s Online Safety Bill

California will adopt a broad new approach to protecting children online after Gov. Gavin Newsom signed a bill on Thursday that could transform how many social networks, games and other services treat minors. From a report: Despite opposition from the tech industry, the State Legislature unanimously approved the bill at the end of August. It is the first state statute in the nation requiring online services likely to be used by youngsters to install wide-ranging safeguards for users under 18. Among other things, the measure will require sites and apps to curb the risks that certain popular features — like allowing strangers to message one another — may pose to younger users. It will also require online services to turn on the highest privacy settings by default for children. “We’re taking aggressive action in California to protect the health and well-being of our kids,” Governor Newsom said in a statement that heralded the new law as âoebipartisan landmark legislation” aimed at protecting the well-being, data and privacy of children. Called the California Age-Appropriate Design Code Act, the new legislation compels online services to take a proactive approach to safety — by designing their products and features from the outset with the “best interests” of young users in mind.

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Adobe Thinks It Can Solve Netflix’s Password ‘Piracy’ Problem

Adobe thinks it has the answer to Netflix’s “password sharing” problem that involves up to 46 million people, according to a 2020 study. TorrentFreak reports: Adobe believes that since every user is different, any actions taken against an account should form part of a data-driven strategy designed to “measure, manage and monetize” password sharing. The company’s vision is for platforms like Netflix to deploy machine learning models to extract behavioral patterns associated with an account, to determine how the account is being used. These insights can determine which measures should be taken against an account, and how success or otherwise can be determined by monitoring an account in the following weeks or months. Ignoring the obviously creepy factors for a moment, Adobe’s approach does seem more sophisticated, even if the accompanying slide gives off a file-sharing-style “graduated response” vibe. That leads to the question of how much customer information Adobe would need to ensure that the right accounts are targeted, with the right actions, at the right time.

Adobe’s Account IQ is powered by Adobe Sensei, which in turn acts as the intelligence layer for Adobe Experience Platform. In theory, Adobe will know more about a streaming account than those using it, so the company should be able to predict the most effective course of action to reduce password sharing and/or monetize it, without annoying the account holder. But of course, if you’re monitoring customer accounts in such close detail, grabbing all available information is the obvious next step. Adobe envisions collecting data on how many devices are in use, how many individuals are active, and geographical locations — including distinct locations and span. This will then lead to a “sharing probability” conclusion, along with a usage pattern classification that should identify travelers, commuters, close family and friends, even the existence of a second home.

Given that excessive sharing is likely to concern platforms like Netflix, Adobe’s plan envisions a period of mass account monitoring followed by an on-screen “Excessive Sharing” warning in its dashboard. From there, legal streaming services can identify the accounts most responsible and begin preparing their “graduated response” towards changing behaviors. After monetizing those who can be monetized, those who refuse to pay can be identified and dumped. Or as Adobe puts it: “Return free-loaders to available market.” Finally, Adobe also suggests that its system can be used to identify customers who display good behavior. These users can be rewarded by eliminating authentication requirements, concurrent stream limits, and device registrations.

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