Setting up third-party accessories on iOS could be as easy as with AirPods in iOS 18. CC-licensed photo by HS You on Flickr.
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A selection of 9 links for you. Smoothly. I’m @charlesarthur on Twitter. On Threads: charles_arthur. On Mastodon: https://newsie.social/@charlesarthur. Observations and links welcome.
I paid $365.63 to replace 404 Media with AI • 404 Media
Emanuel Maiberg:
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Over the last week I have published dozens of news articles and blogs about technology without lifting a finger on a news website called Prototype.Press. The articles are fairly short, but written in perfect English, and as far as I can tell, accurate. They are also very nicely laid out and categorized into “tech,” “science,” “AI,” and other sections, making it easier for visitors to navigate the cornucopia of content I publish on the site every day. On Monday, June 17, I published 53 articles on everything from the “Top Internet Service Providers in South Dakota” to how “AI-generated images in Google Search Results have provided access to an alternate reality.”
If that latter story sounds familiar that’s because it is a blatant, uncredited rip-off of a story I published on 404 Media the same day. I was able to publish it alongside 52 other articles that day all by myself because I created an entirely autonomous, ChatGPT-powered technology news site that steals other people’s original reporting for just $365.63.
It wasn’t hard to set up, and didn’t require one of the most advanced large language models in the world, but since this is the second technology news and investigations website I’m running these days, I outsourced its creation to a Fiverr freelancer in Turkey. I told him what I wanted, picked a layout, and two days later got a fully operational website.
What I learned from this experiment is that flooding the internet with an infinite amount of what could pass for journalism is cheap and even easier than I imagined, as long as I didn’t respect the craft, my audience, or myself.
I also learned that while AI has made all of this much easier, faster, and better, the advent of generative AI did not invent this practice—it’s simply adding to a vast infrastructure of tools and services built by companies like WordPress, Fiverr, and Google designed to convert clicks to dollars at the expense of quality journalism and information, polluting the internet we all use and live in every day.
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I think we knew that, to be honest. It’s why news organisations stopped doing full-text RSS feeds long ago, and why robots.txt (see below) has suddenly become important.
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Google: stop burning counterterrorism operations • Poppopret
Michael Coppola:
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In January 2021, Google’s Project Zero published a series of blog posts coined the In the Wild Series. Written in conjunction with Threat Analysis Group (TAG), this report detailed a set of zero-day vulnerabilities being actively exploited in the wild by a government actor.
The event was a bombshell story and provided a rare, exciting, and deeply technical look into the often secret world of nation-state computer hacking. The report dissected not only the state actor’s exploit code but detailed how the entire operation worked, including deployment configuration and a teardown of implant code and command-and-control communications.
Project Zero and TAG were not passive observers in their investigation. They actively probed the actor’s attack servers, extracted as many exploits as they were able to, and reverse engineered the capabilities. Yet despite performing this intimate level of analysis, one of TAG’s main work products – attribution of the attacker and parties being targeted – was conspicuously absent from the report.
What the Google teams omitted was that they had in fact exposed a nine-month-long counterterrorism operation being conducted by a US-allied Western government, and through their actions, Project Zero and TAG had unilaterally destroyed the capabilities and shut down the operation.
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There’s a lot more (non-specific) detail in here, but it does show how things like Project Zero can unthinkingly stumble like Mr Blobby into delicate operations on which real human lives depend.
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Why ‘intelligence’ exists only in the eye of the beholder • Aeon Essays
Abigail Desmond:
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Absolute brain size, relative brain size, brain organisation, and neuronal density have all been used to predict where intelligence will emerge. Among living animals, Homo sapiens has the highest encephalisation quotient, meaning that our brains are much bigger than expected for our body size. This plays to our vanity, but some of the smartest creatures out there have brains quite unlike ours – cuttlefish, for example, rely on neurons in their arms for complex problem-solving. African grey parrots have the smarts of a human child, but much smaller brains than might be expected. Shrews, on the other hand, have some of the highest neuronal densities among mammals but, ironically, they aren’t terribly shrewd. Tiny-brained digger wasps use tools, and monarch butterflies perform continent-spanning annual migrations. Large brains are important for human intelligence, but life finds other ways to succeed.
Adding to the mire, intelligent behaviour in people is not always the result of conscious choice or rational strategy, but can arise from autonomic processes. The cognitive bubbling up of hunches, intuitions and gut feelings can often be credited to ‘lower-order’ systems such as the sympathetic nervous system or the amygdala, or manifest as subliminal or subconscious conditioned responses to environmental cues. In some contexts, the brain itself has been suggested as a poor candidate for the locus of intelligence. Supporters of swarm or collective intelligence tell us that the problem of problem-solving can be shared among a host of similar entities, as in a shoal of fish or a surge of grasshoppers.
Ants build boats, bridges and metropolises with populations in the millions, and yet their individual cerebral horsepower doesn’t amount to much. The boundaries of an interacting group – the nest, the shoal, the rational mind, the nation-state – all can be argued as the scale at which true intelligence arises. Paradoxically, we value intelligence as a marker of individual success, yet it exists both as a collective of our own neurons, and an aggregate of collective behaviour. To paraphrase Inigo Montoya, we keep using this word, but perhaps it does not mean what we think it means.
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Jingle writers and singers feel impact of AI song technology • Billboard
Steve Knopper:
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In the mid 1990s, Jason Paige, then a struggling singer trying to break with his rock band, could make a solid living by writing Mountain Dew, Taco Bell and Pepto Bismol earworms for jingle houses that dominated the music-in-advertising industry for decades. But during an interview a few weeks ago, Paige — who ultimately became most famous as the voice of the Pokemon theme song “Gotta Catch ‘Em All” — fires up an artificial-intelligence program. Within minutes, he emails eight studio-quality, terrifyingly catchy punk, hip-hop, EDM and klezmer MP3s centered on the reporter’s name, the word Billboard and the phrase “the jingle industry and how it’s changed so much over the years.”
The point is self-evident. “Yeah,” Paige says, about the industry that once sustained him. “It is dark.”
Today, the jingle business has evolved an assembly line of composers and performers competing to make the next “plop plop fizz fizz” into a more multifaceted relationship between artists and companies, involving brand relationships (like Taylor Swift’s long-standing Target deal); Super Bowl synchs worth hundreds of thousands of dollars; production-house music allowing brands to pick from hundreds of thousands of pre-recorded tracks; and “sonic branding,” in which the Intel bong or Netflix’s tudum are used in a variety of marketing contexts. Performers and songwriters make plenty of revenue on this kind of commercial music, and they’re far more open to doing so than they were in the corporation-skeptical ‘90s. But AI, which allows machines to make all these sounds far more cheaply and quickly for brands than human musicians could ever do, remains a looming threat.
“It definitely has the potential to be disruptive,” says Zeno Harris, a creative and licensing manager for West One Music Group, an LA company that licenses its 85,000-song catalog of original music to brands. “If we could use it as a tool, instead of replacing [musicians], that’s where I see it heading. But money dictates where the industry goes, so we’ll have to wait and see.”
This vision of an AI-dominated future in a crucial revenue-producing business is as disturbing for singers and songwriters as it is for Hollywood screenwriters, radio DJs and voiceover actors.
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With the rise of AI, web crawlers are suddenly controversial • The Verge
David Pierce:
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For three decades, a tiny text file has kept the internet from chaos. This text file has no particular legal or technical authority, and it’s not even particularly complicated. It represents a handshake deal between some of the earliest pioneers of the internet to respect each other’s wishes and build the internet in a way that benefitted everybody. It’s a mini constitution for the internet, written in code.
It’s called robots.txt and is usually located at yourwebsite.com/robots.txt. That file allows anyone who runs a website — big or small, cooking blog or multinational corporation — to tell the web who’s allowed in and who isn’t. Which search engines can index your site? What archival projects can grab a version of your page and save it? Can competitors keep tabs on your pages for their own files? You get to decide and declare that to the web.
It’s not a perfect system, but it works. Used to, anyway. For decades, the main focus of robots.txt was on search engines; you’d let them scrape your site and in exchange they’d promise to send people back to you. Now AI has changed the equation: companies around the web are using your site and its data to build massive sets of training data, in order to build models and products that may not acknowledge your existence at all.
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Smart piece. Every leap in capability means we discover how much the internet relies on good faith. Newsgroup spam meant administrators taking on more and more powers to delete it (though they lost). Email spam meant not trusting other email servers. And now AI means we discover how robots.txt will have to be made into something stronger.
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Microsoft risks huge fine over “possibly abusive” bundling of Teams and Office • Ars Technica
Ashley Belanger:
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Microsoft may be hit with a massive fine in the European Union for “possibly abusively” bundling Teams with its Office 365 and Microsoft 365 software suites for businesses.
On Tuesday, the European Commission (EC) announced preliminary findings of an investigation into whether Microsoft’s “suite-centric business model combining multiple types of software in a single offering” unfairly shut out rivals in the “software as a service” (SaaS) market.
“Since at least April 2019,” the EC found, Microsoft’s practice of “tying Teams with its core SaaS productivity applications” potentially restricted competition in the “market for communication and collaboration products.”
The EC is also “concerned” that the practice may have helped Microsoft defend its dominant market position by shutting out “competing suppliers of individual software” like Slack and German video-conferencing software Alfaview. Makers of those rival products had complained to the EC last year, setting off the ongoing probe into Microsoft’s bundling.
Customers should have choices, the EC said, and seemingly at every step, Microsoft sought instead to lock customers into using only its software.
“Microsoft may have granted Teams a distribution advantage by not giving customers the choice whether or not to acquire access to Teams when they subscribe to their SaaS productivity applications,” the EC wrote. This alleged abusive practice “may have been further exacerbated by interoperability limitations between Teams’ competitors and Microsoft’s offerings.”
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A claim brought by Slack, among others, but unless the fine is absolutely gigantic then it’s yet another case of firmly slamming the stable door shut when the horse has moved to the next town, raised some children and sent them off to school.
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iOS 18 brings AirPods setup experience to third-party accessories • 9 to 5 Mac
Filipe Espósito:
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When Apple introduced AirPods in 2016, the company also unveiled a new, easy and intuitive way to pair wireless accessories to iPhone and iPad. Rather than having to go to Bluetooth settings and press buttons, the system identifies the accessory nearby and prompts the user to pair it. With iOS 18, this quick pairing process will be available for the first time to accessory makers.
Called AccessorySetupKit, the new API gives third-party accessories the same setup experience as Apple accessories such as AirPods and AirTag. As soon as the iPhone or iPad running iOS 18 with the right app detects a compatible accessory, it will show the user a popup to confirm pairing with that device.
With just a tap, the system will automatically handle all the Bluetooth or Wi-Fi connectivity required by the accessory. This also means that users will no longer have to manually give Bluetooth and Wi-Fi permissions individually to that accessory’s app.
If the accessory requires a more complex pairing process, such as confirming a PIN code, the iOS 18 API can also ask the user for this information without the need to open an app. Once the accessory has been paired, more information about it can be found in a new Accessories menu within the Privacy settings.
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Now, this is obviously intended to put third-party products on a par with Apple ones, but what are the chances that people will complain Apple is prioritising some products (which take the trouble to incorporate the API) over others?
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‘Weightless’ battery stores energy directly in carbon fibre structures • New Atlas
CC Weiss:
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Imagine an electric car that isn’t weighed down by a huge, kilowatt-hour-stuffed battery. It wouldn’t need as much power to drive it forward and could rely on a smaller motor, saving yet more weight. Or imagine an eVTOL that could take off without lifting a lithium-ion anchor that requires it to be back on the ground within an hour for charging. Or a windmill with blades that work as their own batteries, storing energy during low demand periods for distribution at peak hours.
Sinonus hopes to write a future in which all those visions come true. It’s hard at work on a new breed of smart carbon fibre capable of serving as the electrodes of an integrated battery.
The Swedes have long been working on structural composites capable of storing electricity. We first heard tell of the work over a decade ago when Volvo publicized its participation in a research project it had undertaken in cooperation with a number of academic partners, including Chalmers [University of Technology].
A few years later, Chalmers had identified a specific subset of carbon fibres that could deliver just the right blend of electrical conductivity and structural stiffness. It eventually went on to develop a prototype “massless” carbon battery.
In 2022, the university and VC firm Chalmers Ventures spun off the project into its own company, Sinonus. The startup sums up its purpose as “multipurpose,” pursuing materials that serve two or more functions in an effort to conserve overall resources.
In an EV, for instance, its carbon fibre battery system would presumably [“presumably”? – Overspill Ed.] weigh the same as or less than traditional steel and aluminum structural components but with the advantage of storing its own power and eliminating the need for a large, heavy battery pack.
…“Storing electrical energy in carbon fibre may perhaps not become as efficient as traditional batteries, but since our carbon fiber solution also has a structural load-bearing capability, very large gains can be made at a system level,” [Sinonus CEO Markus] Zetterström explains.
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Though in a car, wouldn’t storing energy in the frame mean any bump could be calamitous for the battery?
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Apple wasn’t interested in AI partnership with Meta due to privacy concerns • MacRumors
Juli Clover:
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Apple turned down an AI partnership with Facebook parent company Meta due to privacy concerns, according to a report from Bloomberg. Meta and Apple had a brief discussion about a possible partnership in March, but the talks did not progress and Apple does not plan to integrate Meta’s large language model (LLM) into iOS.
Over the weekend, The Wall Street Journal suggested that Apple and Meta were in active discussions about integrating Llama, Facebook’s LLM, into iOS 18 as part of Apple Intelligence. The report suggested that the discussions were ongoing had not been finalized, but Bloomberg’s follow-up indicates Apple never seriously considered a partnership.
Preliminary talks happened at the same time that Apple began discussions with OpenAI and Google parent company Alphabet, but Apple decided not to move on to a more formal discussion because “it doesn’t see that company’s privacy practices as stringent enough.”
Apple did end up signing a deal with OpenAI, and ChatGPT will be integrated into iOS 18 , iPadOS 18, and macOS Sequoia. Users can opt-in to ChatGPT, with Siri able to hand some requests off to the more sophisticated AI model.
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Hardly surprising that Apple would find Meta’s desire for personal information unwelcome. But OpenAI’s expectation that much revenue will flow its way from the tieup I find.. optimistic.
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• Why do social networks drive us a little mad? • Why does angry content seem to dominate what we see? • How much of a role do algorithms play in affecting what we see and do online? • What can we do about it? • Did Facebook have any inkling of what was coming in Myanmar in 2016? Read Social Warming, my latest book, and find answers – and more. |
Errata, corrigenda and ai no corrida: none notified