Net life Archives

Revival

There appears to be media consensus: “Bluesky is dead.”

At The Commentary, James Meigs calls Bluesky “an expression of the left’s growing hypersensitivity to ideas leftists find offensive”, and says he accepts exTwitter’s “somewhat uglier vibe” in return for “knowing that right-wing views aren’t being deliberately buried”. Then he calls Bluesky “toxic” and a “hermetically sealed social-media bubble”.

At New Media and Marketing, Rich Meyer says Bluesky is in decline and engagement is dropping, and exTwitter is making a comeback.

At Slate, Alex Kirshner and Nitish Pahwa complain that Bluesky feels “empty”, say that its too-serious users are abandoning it because it isn’t fun, and compare it to a “small liberal arts college” and exTwitter to a “large state university”.

At The Spectator, Sean Thomas regrets that “Bluesky is dying” – and claims to have known it would fail from his first visit to the site, “a bad vegan cafe, full of humorless puritans”.

Many of these pieces – Mark Cuban at Fortune, for example, and Megan McArdle at the Washington Post – blame a “lack of diversity of thought”.

As Mike Masnick writes on TechDirt in its defense (Masnick is a Bluesky board member), “It seems a bit odd: when something is supposedly dying or irrelevant, journalists can’t stop writing about it.”

Have they so soon forgotten 2014, when everyone was writing that Twitter was dead?

Commentators may be missing that success for Bluesky looks different: it’s trying to build a protocol-driven ecosystem, not a site. Twitter had one, but destroyed it as its ad-based business model took over. Both Bluesky and Mastodon, which media largely ignores, aim to let users create their own experience and are building tools that give users as much control as possible. It seems to offend some commentators that one of them lets you block people you don’t want to deal with, but that’s weird, since it’s the one every social site has.

All social media have ups and downs, especially when they’re new (I really wonder how many of these commentators experienced exTwitter in its early days or have looked at Truth Social’s user numbers). Settling into a new environment and rebuilding take time – it may look like the old place, but its affordances are different, and old friends are missing. Meanwhile, anecdotally, some seem to be leaving social media entirely, driven away by privacy issues, toxic behavior, distaste for platform power and its owners, or simply distracted by life. Few of us *have* to use social media.

***

In 2002, the UK’s Financial Services Authority was the first to implement an EU directive allowing private organizations to issue their own electronic money without a banking license if they could meet the capital requirements. At the time, the idea seemed kind of cute, especially since there was a plan to waive some of the requirements for smaller businesses. Everyone wanted micropayments; here was a framework of possibility.

And then nothing much happened. The Register’s report (the first link above) said that organizations such as the Post Office, credit card companies, and mobile operators were considering launching emoney offerings. If they did, the results sank without trace. Instead, we’re all using credit/debit cards to pay for stuff online, just as we were 23 years ago. People are relucrtant to trust weird, new-fangled forms of money.

Then, in 2008, came cryptocurrencies – money as lottery ticket.

Last week, the Wall Street Journal reported that Amazon, Wal-Mart, and other multinationals are exploring stablecoins as a customer payment option – in other words, issuing their own cryptocurrencies, pegged to the US dollar. As Andrew Kassel explains at Investopedia, the result could be to bypass credit cards and banks, saving billions in fees.

It’s not clear how this would work, but I’m suspicious of the benefits to consumers. Would I have to buy a company’s stablecoin before doing business with it? And maintain a floating balance? At Axios, Brady Dale explores other possibilities. Ultimately, it sounds like a return to the 1970s, before multipurpose credit cards, when people had store cards from the retailers they used frequently, and paid a load of bills every month. Dale seems optimistic that this could be a win for consumers as well as retailers, but I can’t really see it.

In other words, the idea seems less cute now, less fun technological experiment, more rapacious. There’s another, more disturbing, possibility: the return of the old company town. Say you work for Amazon or Wal-Mart, and they offer you a 10% bonus for taking your pay in their stablecoin. You can’t spend it anywhere but their store, but that’s OK, right, because they stock everything you could possibly want? A modern company town doesn’t necessarily have to be geographical.

I’ve long thought that company towns, which allowed companies to effectively own employees, are the desired endgame for the titans. Elon Musk is heading that way with Starbase, Texas, now inhabited primarily by SpaceX employees, as Elizabeth Crisp reports at The Hill.

I don’t know if the employees who last month voted enthusiastically for the final incorporation of Starbase realize how abusive those old company towns were.

Illustrations: The Starbase sign adjoining Texas Highway 4, in 2023 (via Jenny Hautmann at Wikimedia.

Wendy M. Grossman is an award-winning journalist. Her Web site has an extensive archive of her books, articles, and music, and an archive of earlier columns in this series. She is a contributing editor for the Plutopia News Network podcast. Follow on Mastodon or Bluesky.

Sovereign

On May 19, a group of technologists, researchers, economists, and scientists published an open letter calling on British prime minister Keir Starmer to prioritize the development of “sovereign advanced AI capabilities through British startups and industry”. I am one of the many signatories. Britain’s best shot at the kind of private AI research lab under discussion was Deepmind, sold to Google in 2014; the country has nothing now that’s domestically owned. ”

Those with long memories know that Leo was the first computer used for a business application – running Lyons tea rooms. In the 1980s, Britain led personal computing.

But the bigger point is less about AI in specific and more about information technology generally. At a panel at Computers, Privacy, and Data Protection in 2022, the former MEP Jan Philipp Albrecht, who was the special rapporteur for the General Data Protection Regulation, outlined his work building up cloud providers and local hardware as the Minister for Energy, Agriculture, the Environment, Nature and Digitalization of Schleswig-Holstein. As he explained, the public sector loses a great deal when it takes the seemingly easier path of buying proprietary software and services. Among the lost opportunities: building capacity and sovereignty. While his organization used services from all over the world, it set its own standards, one of which was that everything must be open source,

As the events of recent years are making clear, proprietary software fails if you can’t trust the country it’s made in, since you can’t wholly audit what it does. Even more important, once a company is bedded in, it can be very hard to excise it if you want to change supplier. That “customer lock-in” is, of course, a long-running business strategy, and it doesn’t only apply to IT. If we’re going to spend large sums of money on IT, there’s some logic to investing it in building up local capacity; one of the original goals in setting up the Government Digital Service was shifting to smaller, local suppliers instead of automatically turning to the largest and most expensive international ones.

The letter calls relying on US technology companies and services a “national security risk. Elsewhere, I have argued that we must find ways to build trusted systems out of untrusted components, but the problem here is more complex because of the sensitivity of government data. Both the US and China have the right to command access to data stored by their companies, and the US in particular does not grant foreigners even the few privacy rights it grants its citizens.

It’s also long past time for countries to stop thinking in terms of “winning the AI race”. AI is an umbrella term that has no single meaning. Instead, it would be better to think in terms of there being many applications of AI, and trying to build things that matter.

***

As predicted here two years ago, AI models are starting to collapse, Stephen J. Vaughan writes at The Register.

The basic idea is that as the web becomes polluted with synthetically-generated data, the quality of the data used to train the large language models degrades, so the models themselves become less useful. Even without that, the AI-with-everything approach many search engines are taking is poisoning their usefulness. Model collapse just makes it worse.

We would point out to everyone frantically adding “AI” to their services that the historical precedents are not on their side. In the late 1990s, every site felt it had to be a portal, so they all had search, and weather, and news headlines, and all sorts of crap that made it hard to find the search results. The result? Google disrupted all that with a clean, white page with no clutter (those were the days). Users all switched. Yahoo is the most obvious survivor from that period, and I think it’s because it does have some things – notably financial data – that it does extremely well.

It would be more satisfying to be smug about this, but the big issue is that companies are going on spraying toxic pollution over the services we all need to be able to use. How bad does it have to get before they stop?

***

At Privacy Law Scholars this week, in a discussion of modern corporate oligarchs and their fantasies of global domination, an attendee asked if any of us had read the terms of service for Starlink. She wanted to draw out attention to the following passage, under “Governing Law”:

For Services provided to, on, or in orbit around the planet Earth or the Moon, this Agreement and any disputes between us arising out of or related to this Agreement, including disputes regarding arbitrability (“Disputes”) will be governed by and construed in accordance with the laws of the State of Texas in the United States. For Services provided on Mars, or in transit to Mars via Starship or other spacecraft, the parties recognize Mars as a free planet and that no Earth-based government has authority or sovereignty over Martian activities. Accordingly, Disputes will be settled through self-governing principles, established in good faith, at the time of Martian settlement.

Reminder: Starlink has contracts worth billions of dollars to provide Internet infrastructure in more than 100 countries.

So who’s signing this?

Illustrations: The Martian (Ray Walston) in the 1963-1966 TV series My Favorite Martian.

Wendy M. Grossman is the 2013 winner of the Enigma Award. Her Web site has an extensive archive of her books, articles, and music, and an archive of earlier columns in this series. She is a contributing editor for the Plutopia News Network podcast. Follow on Mastodon or Bluesky.

Hallucinations

It makes obvious sense that the people most personally affected by a crime should have the right to present their views in court. Last week, in Arizona, Stacey Wales, the sister of Chris Pelkey, who was killed in a road rage shooting in 2021, delegated her victim impact statement offering forgiveness to Pelkey’s artificially-generated video likeness. According to Cy Neff at the Guardian, the judge praised this use of AI and said he felt the forgiveness was “genuine”. It is unknown if it affected his sentencing.

It feels instinctively wrong to use a synthesized likeness this way to represent living relatives, who could have written any script they chose – even, had they so desired, one presenting this reportedly peaceful religious man’s views as a fierce desire for vengeance. *Of course* seeing it acted out by a movie-like AI simulation of the deceased victim packs emotional punch. But that doesn’t make it *true* or, as Wales calls it at the YouTube video link above, “his own impact statement”. It remains the thoughts of his family and friends, culled from their possibly imperfect memories of things Pelkey said during his lifetime, and if it’s going to be presented in a court, it ought to be presented by the people who wrote the script.

This is especially true because humans are so susceptible to forming relationships with *anything*, whether it’s a basketball that reminds you of home, as in the 2000 movie Cast Away, or a chatbot that appears to answer your questions, as in 1966’s ELIZA or today’s ChatGPT.

There is a lot of that about. Recently, Miles Klee reported at Rolling Stone that numerous individuals are losing loved ones to “spiritual fantasies” engendered by intensive and deepening interaction with chatbots. This reminds of Ouija boards, which seem to respond to people’s questions but in reality react to small muscle movements in the operators’ hands.

Ouija boards “lie” because their operators unconsciously guide them to spell out words via the ideomotor effect. Those small, unnoticed muscle movements are also, more impressively, responsible for table tilting. The operators add to the illusion by interpreting the meaning of whatever the Ouija board spells out.

Chatbots “hallucinate” because the underlying large language models, based on math and statistics, predict the most likely next words and phrases with no understanding of meaning. But a conundrum is developing: as the large language models underlying chatbots improve, the bots are becoming *more*, not less, prone to deliver untruths.

At The Register, Thomas Claburn reports that researchers at Carnegie-Mellon, the University of Michigan, and the Allen Institute for AI find that AI models will “lie” in to order to meet the goals set for them. In the example in their paper, a chatbot instructed to sell a new painkiller that the company knows is more addictive than its predecessor will deny its addictiveness in the interests of making the sale. This is where who owns the technology and sets its parameters is crucial.

This result shouldn’t be too surprising. In her 2019 book, You Look Like a Thing and I Love You, Janelle Shane highlighted AIs’ tendency to come up with “short-cuts” that defy human expectations and limitations to achieve the goals set for them. No one has yet reported that a chatbot has been intentionally programmed to lead its users from simple scheduling to a belief that they are talking to a god – or are one themselves, as Klee reports. This seems more like operator error, as unconscious as the ideomotor effect

OpenAI reported at the end of April that it was rolling back GPT-4o to an earlier version because the chatbot had become too “sycophantic”. Tthe chatbot’s tendency to flatter its users apparently derived from the company’s attempt to make it “feel more intuitive”.

It’s less clear why Elon Musk’s Grok has been shoehorning rants alleging white genocide in South Africa into every answer it gives to every question, no matter how unrelated, as Kyle Orland reports at Ars Technica.

Meanwhile, at the New York Times Cade Metz and Karen Weise find that AI hallucinations are getting worse as the bots become more powerful. They give examples, but we all have our own: irrelevant search results, flat-out wrong information, made-up legal citations. Metz and Weise say “it’s not entirely clear why”, but note that the reasoning systems that DeepSeek so explosively introduced in February are more prone to errors, and that those errors compound the more time they spend stepping through a problem. That seems logical, just as a tiny error in an early step can completely derail a mathematical proof.

This all being the case, it would be nice if people would pause to rethink how they use this technology. At Lawfare, Cullen O’Keefe and Ketan Ramakrishnan are already warning about the next stage, agentic AI, which is being touted as a way to automate law enforcement. Lacking fear of punishment, AIs don’t have the motivations humans do to follow the law (nor can a mistargeted individual reason with them). Therefore, they must be instructed to follow the law, with all the problems of translating human legal code into binary code that implies.

I miss so much the days when you could chat online with a machine and know that really underneath it was just a human playing pranks.

Illustrations: “Mystic Tray” Ouija board (via Wikimedia).

The Skype of it all

This week, Microsoft shuttered Skype. For a lot of people, it’s a sad but nostalgic moment. Sad, because for older Internet users it brings back memories of the connections it facilitated; nostalgic because hardly anyone seemed to be using it any more. As Chris Stokel-Walker wrote at Wired in 2021, somehow when covid arrived and poured accelerant on remote communications, everyone turned to Zoom instead. Stokel-Walker blamed the Microsoft team for lacking focus on the bit that mattered most: keeping the video link up and stable. Zoom had better video, true, but also far better usability in terms of getting people to calls.

Skype’s service – technically, VoIP, for Voice over Internet Protocol – was pioneering in its time, which arguably peaked around 2010. Like CompuServe before it and Twitter since, there was a period when everyone had their Skype ID on their business cards. In 2005, when eBay bought it for $1.3 billion, it was being widely copied. In 2009, when eBay sold it to an investor group, it was valued at $2.75 billion.

In 2011, Microsoft bought it for $8.5 billion in cash, to general puzzlement as to *why* and why for *so much*. I thought eBay would somehow embed it into its transaction infrastructure as it had Paypal, which it had bought in 2002 for $1.5 billion (and then in 2014 spun off as a public company). Similarly, Wired talked of Microsoft embedding it into its Xbox Live network. Instead, the company fiddled with the app in the general shift from desktop to mobile. Ironic, given that Skype was a *phone* app. If it struggled like Facebook did to make the change, it’s kind of embarrassing.

Forgotten in all this is the fact that although Skype was the first VoIP application to gain mainstream acceptance, it was not the first to connect phone calls over the Internet. That was the long-forgotten Free World Dial-Up project, pioneered by Jeff Pulver. On the ground I imagined Free World Dial-Up as looking something like the switchboard and radio phone Radar O’Reilly (Gary Burghoff) used in the TV series M*A*S*H (1973-1982), who was patching phone calls being transmitted via radio networks. As Pulver described it, calls were sent across the Internet between servers, each connected to a box that patched the calls into the local phone system.

Rereading my notes from my 1995 interview with Pulver, when he was just getting his service up and running, it’s astonishing to remember how many hurdles there were for his prototype VoIP project to overcome – and this was all being done by volunteers. In many countries outside North America, charges for local phone calls made it financially risky to run a server. Some countries had prohibitive licensing regulations that made it illegal to offer such a service if you weren’t a telephone company. The hardware and software were readily available but had to be bought and required tinkering to set up. Plus, few outside the business world had continuous high-speed connections; most of us were using modems to dial up a service provider.

Small surprise that those early calls were not great. A Chicago recipient of a test call said she’d had better connections over the traditional phone network to Harare. Network lag made it more like a store-and-forward audio clipping service than a phone call. This didn’t matter as much to people with a history in ham radio, like Pulver himself; they were used to the cognitive effort to understand despite static and dropouts.

On the other hand, international calling was so wildly expensive at the time that even so FWD opened up calling for half a million people.

FWD was the experiment that proved the demand and the potential. Soon, numerous companies were setting up to offer VoIP services via desktop applications of varying quality and usability. It was into this hodge-podge that Skype was launched in 2003 from Estonia. For a time, it kept getting better: it began with free calling between Skype users and paid calls to phone lines, and moved on to offering local phone numbers around the world, as Google Voice does now.

Around the early 2000s it was popular to predict that VoIP services would kill off telephone companies. This was a moment when network neutrality, now under threat, was crucial; had telcos been allowed to discriminate against VoIP traffic, we’d all still be paying through the nose for international calling and probably wouldn’t have had video calling during the covid lockdowns.

Instead, the telcos themselves have become VoIP companies. In 2007, BT was the first to announce it was converting its entire network to IP. That process is supposed to complete this year. My landline is already a VoIP line. (Downside: no electricity, no telecommunications.)

Pulver, I find, is still pushing away at the boundaries of telecommunications. His website these days is full of virtualized conversations (vCons) and Supply Chain Integrity, Transparency, and Trust (SWICC), which he explains here (PDF). The first is an IETF proposed standard for AI-enhanced digital records. The second is an IETF proposed framework that intends to define “a set of interoperable building blocks that will allow implementers to build integrity and accountability into software supply chain systems to help assure trustworthy operation”. This is the sort of thing that may make a big difference to companies while being invisible and/or frustrating to most of us.

As for Skype, it will fade from human memory. If it ever comes up, we’ll struggle to explain what it was to a generation who have no idea that calling across the world was ever difficult and expensive.

Illustrations: Radar O’Reilly (Gary Burghoff) in the TV series M*A*S*H with his radio telephone setup.

Banning TikTok

Two days from now, TikTok may go dark in the US. Nine months ago, in April 2024, Congress passed the Protecting Americans from Foreign Adversary Controlled Applications Act, banning TikTok if its Chinese owner, ByteDance, has not removed itself from ownership by January 19, 2025.

Last Friday, January 10, the US Supreme Court heard three hours of arguments in consolidated challenges filed by TikTok and a group of TikTok users: TikTok, Inc. v. Garland and Furbaugh v. Garland. Too late?

As a precaution, Kinling Lo and Viola Zhou report at Rest of World, at least some of TikTok’s 170 million American users are building community arks elsewhere – the platform Xiaohongshu (“RedNote”), for one. This is not the smartest choice; it, too is Chinese and could become subject to the same national security concerns, like the other Chinese apps Makena Kelly reports at Wired are scooping up new US users. Ashley Belanger reports at Ars Technica that rumors say the Chinese are thinking of segregating these American newcomers.

“The Internet interprets censorship as damage, and routes around it,” EFF founder and activist John Gilmore told Time Magazine in 1993. He meant Usenet, which could get messages past individual server bans, but it’s really more a statement about Internet *users*, who will rebel against bans. That for sure has not changed despite the more concentrated control of the app ecosystem. People will access each other by any means necessary. Even *voice* calls.

PAFACA bans apps from four “foreign adversaries to the United States” – China, Russia, North Korea, and Iran. That being the case, Xiaohongshu/RedNote is not a safe haven. The law just hasn’t noticed this hitherto unknown platform yet.

The law’s passage in April 2024 was followed in early May by TikTok’s legal challenge. Because of the imminent sell-by deadline, the case was fast-tracked, and landed in the US District of Columbia Circuit Court of Appeals in early December. The district court upheld the law and rejected both TikTok’s constitutional challenage and its request for an injunction staying enforcement until the constitutional claims could be fully reviewed by the Supreme Court. TikTok appealed that decision, and so last week here we were. This case is separate from Free Speech Coalition v. Paxton, which SCOTUS heard *this* week and challenges Texas’s 2023 age verification law (H.B. 1181), which could have even further-reaching Internet effects.

Here it gets silly. Incoming president Donald Trump, who originally initiated the ban but was blocked by the courts on constitutional grounds, filed an amicus brief arguing that any ban should be delayed until after he’s taken office on Monday because he can negotiate a deal. NBC News reports that the outgoing Biden administration is *also* trying to stop the ban and, per Sky News, won’t enforce it if it takes effect.

Previously, both guys wanted a ban, but I guess now they’ve noticed that, as Mike Masnick says at Techdirt, it makes them look out of touch to nearly half the US population. In other words, they moved from “Oh my God! The kids are using *TikTok*!” to “Oh, my God! The kids are *using* TikTok!”

The court transcript shows that TikTok’s lawyers made three main arguments. One: TikTok is now incorporated in the US, and the law is “a burden on TikTok’s speech”. Two: PAFACA is content-based, in that it selects types of content to which it applies (user-generated) and ignores others (reviews). Three: the US government has “no valid interest in preventing foreign propaganda”. Therefore, the government could find less restrictive alternatives, such as banning the company from sharing sensitive data. In answer to questions, TikTok’s lawyers claimed that the US’s history of banning foreign ownership of broadcast media is not relevant because it was due to bandwidth scarcity. The government’s lawyers countered with national security: the Chinese government could manipulate TikTok’s content and use the data it collects for espionage.

Again: the Chinese can *buy* piles of US data just like anyone else. TikTok does what Silicon Valley does. Pass data privacy laws!

Experts try to read the court. Amy Howe at SCOTUSblog says the justices seemed divided, but overall likely to issue a swift decision. At This Week in Google and Techdirt, Cathy Gellis says the proceedings, have left her “cautiously optimistic” that the court will not undermine the First Amendment, a feeling seemingly echoed by some of the panel of experts who liveblogged the proceedings.

The US government appears to have tied itself up in knots: SCOTUS may uphold a Congressionally-legislated ban neither old nor new administration now wants, that half the population resents, and that won’t solve the US’s pervasive privacy problems. Lost on most Americans is the irony that the rest of the world has complained for years that under the PATRIOT Act foreign subsidiaries of US companies are required to send data to US intelligence. This is why Max Schrems keeps winning cases under GDPR.

So, to wrap up: the ban doesn’t solve the problem it purports to solve, and it’s not the least restrictive possibility. On the other hand, national security? The only winner may be, as Jason Koebler writes at 404Media, Mark Zuckerberg.

Illustrations: Logo of Douyin, ByteDance’s Chinese version of TikTok.

The lost Internet

As we open 2025 it would be traditional for an Old Internet Curmudgeon to rhapsodize about the good, old days of the 1990s, when the web was open, snark flourished at sites like suck.com, no one owned social media (that is, Usenet and Internet Relay Chat), and even the spam was relatively harmless.

But that’s not the period I miss right now. By “lost” I mean the late 2000s, when we shifted from an Internet of largely unreliable opinions to an Internet full of fact-based sites you could trust. This was the period during which Wikipedia (created 2001) grew up, and Open Street Map (founded 2004) was born, joining earlier sites like the Internet Archive (founded 1996) and Snopes (1994). In that time, Google produced useful results, blogs flourished, and before it killed them if you asked on Twitter for advice on where to find a post box near a point in Liverpool you’d get correct answers straight to your mobile phone.

Today, so far: I can’t get a weather app to stop showing the location I was at last week and show the location I’m at this week. Basically, the app is punishing me for not turning on location tracking. The TV remote at my friend’s house doesn’t fully work and she doesn’t know why or how to fix it; she works around it with a second remote whose failings are complementary. No calendar app works as well as the software I had 1995-2001 (it synced! without using a cloud server and third-party account!). At the supermarket, the computer checkout system locked up. It all adds up to a constant white noise of frustration.

We still have Wikipedia, Open Street Map, Snopes, and the Internet Archive. But this morning a Mastodon user posted that their ten-year-old says you can’t trust Google any more: “It just returns ‘a bunch of madeup stuff’.” When ten-year-olds know your knowledge product sucks…

If generative AI were a psychic we’d call what it does cold reading.

At his blog, Ed Zitron has published a magnificent, if lengthy, rant on the state ot technology. “The rot economy”, he calls it, and says we’re all victims of constant low-level trauma. Most of his complaints will be familiar: the technologies we use are constantly shifting and mostly for the worse. My favorite line: “We’re not expected to work out ‘the new way to use a toilet’ every few months because somebody decided we were finishing too quickly.”

Pause to remember nostalgically 2018, when a friend observed that technology wasn’t exciting any more and 2019, when many more people thought the Internet was no longer “fun”. Those were happy days. Now we are being overwhelmed with stuff we actively don’t want in our lives. Even hacked Christmas lights sound miserable for the neighbors.

***

I have spent some of these holidays editing a critique of Ofcom’s regulatory plans under the Online Safety Act (we all have our own ideas about holidays), and one thing seems clear: the splintering Internet is only going to get worse.

Yesterday, firing up Chrome because something didn’t work in Firefox, I saw a fleeting popup to the effect that because I may not be over 18 there are search results Google won’t show me. I don’t think age verification is in force in the Commonwealth of Pennsylvania – US states keep passing bills, but hit legal challenges.

Age verification has been “imminent” in the UK for so long – it was originally included in the Digital Economy Act 2017 – that it seems hard to believe it may actually become a reality. But: sites within the Act’s scope will have to complete an “illegal content risk assessment” by March 16. So the fleeting popup felt like a visitation from the Ghost of Christmas Future.

One reason age verification was dropped back then – aside from the distractions of Brexit – was that the mechanisms for implementing it were all badly flawed – privacy-invasive, ineffective, or both. I’m not sure they’ve improved much. In 2022, France’s data protection watchdog checked them out: “CNIL finds that such current systems are circumventable and intrusive, and calls for the implementation of more privacy-friendly models.”

I doubt Ofcom can square this circle, but the costs of trying will include security, privacy, freedom of expression, and constant technological friction. Bah, humbug.

***

Still, one thing is promising: the rise of small, independent media outlets wbo are doing high-quality work. Joining established efforts like nine-year-old The Ferret, ten-year-old Bristol Cable, and five-year-old Rest of World are year-and-a-half-old 404 Media and newcomer London Centric. 404Media, formed by four journalists formerly at Vice’s Motherboard, has been consistently making a splash since its founding; this week Jason Koebler reminds that Elon Musk’s proactive willingness to unlock the blown-up cybertruck in Las Vegas and provide comprehensive data on where it’s been, including video from charging stations, without warrant or court order, could apply to any Tesla customer at any time. Meanwhile, in its first three months London Centric’s founding journalist, Jim Waterson, has published pieces on the ongoing internal mess at Transport for London resulting from the August cyberattack and bicycle theft in the capital. Finally, if you’re looking for high-quality American political news, veteran journalist Dan Gillmore curates it for you every day in his Cornerstone of Democracy newsletter.

The corporate business model of journalism is inarguably in trouble, but journalism continues.

Happy new year.

Illustrations: The Marx Brothers in their 1929 film, The Cocoanuts, newly released into the public domain.

Non-playing characters

It’s the most repetitive musical time of the year. Stores have been torturing their staff with an endlessly looping soundtrack of the same songs – in some cases since August. Even friends are playing golden Christmas oldies from the 1930s to 1950s.

Once upon a time – within my lifetime, in fact – stores and restaurants were silent. Into that silence came Muzak. I may be exaggerating: Wikipedia tells me the company dates to 1934. But it feels true.

The trend through all those years has been toward turning music into a commodity and pushing musicians into the poorly paid background by rerecording “for hire” to avoid paying royalties, among other tactics.

That process has now reached its nadir with the revelation by Liz Pelly at Harper’s Magazine that Spotify has taken to filling its playlists with “fake” music – that is, music created at scale by production companies and assigned to “ghost artists” who don’t really exist. For users looking for playlists of background music, it’s good enough; for Spotify it’s far more lucrative than streaming well-known artists who must be paid royalties (even at greatly reduced rates from the old days of radio).

Pelly describes the reasoning behind the company’s “Perfect Fit Content” program this way: “Why pay full-price royalties if users were only half listening?” This is music as lava lamp.

And you thought AI was going to be the problem. But no, the problem is not the technology, it’s the business model. At The New Yorker, Hua Hsu ruminates on Pelly’s imminently forthcoming book, Mood Machine, in terms of opportunity costs: what is the music we’re not hearing as artists desperate to make a living divert to conform to today’s data-driven landscape? I was particularly struck by Hsu’s data point that Spotify has stopped paying royalties on tracks that are streamed fewer than 1,000 times in a year. From those who have little, everything is taken.

The kind of music I play – traditional and traditional-influenced contemporary – is the opposite of all this. Except for a brief period in the 1960s (“the folk scare”), folk musicians made our own way. We put out our own albums long before it became fashionable, and sold from the stage because we had to. If the trend continues, most other musicians will either become like us or be non-playing characters in an industry that couldn’t exist without them.

***

The current Labour government is legislating the next stage of reforming the House of Lords: the remaining 92 hereditary peers are to be ousted. This plan is a mere twig compared to Keir Starmer’s stated intention in 2020 and 2022 to abolish it entirely. At the Guardian, Simon Jenkins is dissatisfied: remove the hereditaries, sure, but, “There is no mention of bishops and donors, let alone Downing Street’s clothing suppliers and former secretaries. For its hordes of retired politicians, the place will remain a luxurious club that makes the Garrick [club] look like a greasy spoon.”

Jenkins’ main question is the right one: what do you replace the Lords with? It is widely known among the sort of activists who testify in Parliament that you get deeper and more thoughtful questions in the Lords than you ever do in the Commons. Even if you disagree with members like Big Issue founder John Bird and children’s rights campaigner and filmmaker Beeban Kidron, or even the hereditary Earl of Erroll, who worked in the IT industry and has been a supporter of digital rights for years, it’s clear they’re offering value. Yet I’d be surprised to see them stand for election, and as a result it’s not clear that a second wholly elected chamber would be an upgrade.

With change afoot, it’s worth calling out the December 18 Lords Grand Committee debate on the data bill. I tuned in late, just in time to hear Kidron and Timothy Clement-Jones dig into AI and UK copyright law. This is the Labour plan to create an exception to copyright law so AI companies can scrape data at will to train their models. As Robert Booth writes at the Guardian, there has been, unsurprisingly, widespread opposition from the creative sector. Among other naysayers, Kidron compared the government’s suggested system to asking shopkeepers to “opt out of shoplifters”.

So they’re in this ancient setting, wearing modern clothes, using the – let’s call it – *vintage* elocutionary styling of the House of Lords…and talking intelligently and calmly about the iniquity of vendors locking schools into expensive contracts for software they don’t need, and AI companies’ growing disregard for robots.txt. Awesome. Let’s keep that, somehow.

***

In our 20 years of friendship I never knew that John “JI” Ioannidis, who died last month, had invented technology billions of people use every day. As a graduate student at Columbia, where he received his PhD in 1993, in work technical experts have called “transformative”, Ioannidis solved the difficult problem of forwarding Internet data to devices moving around from network to network: Mobile IP, in other words. He also worked on IPSec, trust management, and prevention of denial of service attacks.

“He was a genius,” says one of his colleagues, and “severely undercredited”. He is survived by his brother and sister, and an infinite number of friends who went for dim sum with him. RIP.

Illustrations: Cartoon by veteran computer programmer Jef Poskanzer. Used by permission.

Blue

The inxodus onto Bluesky noted here last week continues apace: the site’s added a million users a day for more than a week, gradually slowing down from 12 new users a second, per the live counter.

These are not lurkers. Suddenly, the site feels like Twitter circa 2009/2010, when your algorithm-free feed was filled with interesting people sharing ideas, there were no ads, and abuse was in its infancy. People missing in action for the last year or two are popping up; others I’ve wished would move off exTwitter so I could stop following them there have suddenly joined. Mastodon is also seeing an uptick, and (I hear) Threads continues to add users without, for me, adding interest to match…. I doubt this diaspora is all “liberals”, as some media have it – or if they are, it won’t be long before politicians and celebrities note the action is elsewhere and rush to stay relevant.

It takes a long time for a social medium to die if it isn’t killed by a corporation. Even after this week’s bonanza, Bluesky’s entire user base fits inside 5% of exTwitter, which still has around 500 million users as of September, about half of them active daily. What matters most are *posters*, who are about 10% or less of any social site’s user base. When they leave, engagement plummets, as shown in a 2017 paper in Nature.

An example in action: at Statnews, Katie Palmer reports that the science and medical community is adopting Bluesky.

I have to admit to some frustration over this: why not Mastodon? As retro-fun as this week on Bluesky has been, the problem noted here a few weeks ago of Bluesky’s venture capital funding remains. Yes, the company is incorporated as a public benefit company – but venture capitalists want exit strategies and return on investment. That tension looms.

Mastodon is a loose collection of servers that all run the same software, which in turn is written to the open protocol Activity Pub. Gergely Orosz has deep-dive looks at Bluesky’s development and culture; the goal was to write a new open protocol, AT, that would allow Bluesky, similarly, to federate with others. There is already a third-party bit of software, Bridgy, that provides interoperability among Bluesky, any system based on Activity Pub (“the Fediverse”, of which Mastodon is a subset), and the open web (such as blogs). For the moment, though, Bluesky remains the only site running its AT protocol, so the more users Bluesky adds, the more it feels like a platform rather than a protocol. And platforms can change according to the whims of their owners – which is exactly what those leaving exTwitter are escaping. So: why not Mastodon, which doesn’t have that problem?

In an exchange on Bluesky, Palmer said that those who mentioned it said they found Mastodon “too difficult to figure out”.

It can’t be the thing itself; typing and sending varies little. The problem has to be the initial uncertainty about choosing a server. What you really want is for institutions to set up their own, and then you sign up there. For most people that’s far too much heavy lifting. Still, this is what the BBC and the German government have done, and it has a significant advantage in that posting from an address on that server automatically verifies the poster as an authentic staffer. NPR simply found a server and opened an account, like I did when I joined Mastodon in 2019.

All that said, how Mastodon administrators will cope with increasing usage and resulting costs also remains an open question as discussed here last year.

So: some advice as you settle into your new online home:

– Plan for the site’s eventual demise. “On the Internet your home will always leave you” (I have lost the source of this quote). Every site, no matter how big and fast-growing it is now, or how much you all love it…assume that at some point in the future it will either die of outmoded business model (AOL forums); get bought and closed down (Television without Pity, CompuServe, Geocities); become intolerable because of cultural change (exTwitter); or be abandoned because the owner loses interest (countless blogs and comment boards). Plan for that day. Collect alternative means of contacting the people you come to know and value. Build multiple connections.

– Watch the data you’re giving the site. No one in 2007, when I joined Twitter, imagined their thousands of tweets would become fodder for a large language model to benefit one of the world’s richest multi-billionaires.

– If you are (re)building an online community for an organization, own that community. Use social media, by all means, but use it to encourage people to visit the organization’s website, or join its fully-controlled mailing list or web board. Otherwise, one day, when things change, you will have to start over from scratch, and may not even know who your members are or how to reach them.

– Don’t worry too much about the “filter bubble”, as John Elledge writes. Studies generally agree social media users encounter more, and more varied, sources of news than others. As he says, only journalists have to read widely among people whose views they find intolerable (see also the late, great Molly Ivins).

Illustrations: A mastodon by Heinrich Harder (public domain, via Wikimedia).

Follow the business models

In a market that enabled the rational actions of economists’ fantasies, consumers would be able to communicate their preferences for “smart” or “dumb” objects by exercising purchasing power. Instead, everything from TVs and vacuum cleaners to cars is sprouting Internet connections and rampant data collection.

I would love to believe we will grow out of this phase as the risks of this approach continue to become clearer, but I doubt it because business models will increasingly insist on the post-sale money, which never existed in the analog market. Subscriptions to specialized features and embedded ads seem likely to take ever everything. Essentially, software can change the business model governing any object’s manufacture into Gillette’s famous gambit: sell the razors cheap, and make the real money selling razor blades. See also in particular printer cartridges. It’s going to be everywhere, and we’re all going to hate it.

***

My consciousness of the old ways is heightened at the moment because I spent last weekend participating in a couple of folk music concerts around my old home town, Ithaca, NY. Everyone played acoustic instruments and sang old songs to celebrate 58 years of the longest-running folk music radio show in North America. Some of us hadn’t really met for nearly 50 years. We all look older, but everyone sounded great.

A couple of friends there operate a “rock shop” outside their house. There’s no website, there’s no mobile app, just a table and some stone wall with bits of rock and other findings for people to take away if they like. It began as an attempt to give away their own small collection, but it seems the clearing space aspect hasn’t worked. Instead, people keep bringing them rocks to give away – in one case, a tray of carefully laid-out arrowheads. I made off with a perfect, peach-colored conch shell. As I left, they were taking down the rock shop to make way for fantastical Halloween decorations to entertain the neighborhood kids.

Except for a brief period in the 1960s, playing folk music has never been lucrative. However it’s still harder now: teens buy CDs to ensure they can keep their favorite music, and older people buy CDs because they still play their old collections. But you can’t even *give* a 45-year-old a CD because they have no way to play it. At the concert, Mike Agranoff highlighted musicians’ need for support in an ecosystem that now pays them just $0.014 (his number) for streaming a track.

***

With both Halloween and the US election scarily imminent, the government the UK elected in July finally got down to its legislative program this week.

Data protection reform is back in the form of the the Data Use and Access Bill, Lindsay Clark reports at The Register, saying the bill is intended to improve efficiency in the NHS, the police force, and businesses. It will involve making changes to the UK’s implementation of the EU’s General Data Protection Regulation. Care is needed to avoid putting the UK’s adequacy decision at risk. At the Open Rights Group Mariano della Santi warns that the bill weakens citizens’ protection against automated decision making. At medConfidential, Sam Smith details the lack of safeguards for patient data.

At Computer Weekly, Bill Goodwin and Sebastian Klovig Skelton outline the main provisions and hopes: improve patient care, free up police time to spend more protecting the public, save money.

‘Twas ever thus. Every computer system is always commissioned to save money and improve efficiency – they say this one will save 140,000 a years of NHS staff time! Every new computer system also always brings unexpected costs in time and money and messy stages of implementation and adaptation during which everything becomes *less* efficient. There are always hidden costs – in this case, likely the difficulties of curating data and remediating historical bias. An easy prediction: these will be non-trivial.

***

Also pending is the draft United Nations Convention Against Cybercrime; the goal is to get it through the General Assembly by the end of this year.

Human Rights Watch writes that 29 civil society organizations have written to the EU and member states asking them to vote against the treaty’s adoption and consider alternative approaches that would safeguard human rights. The EFF is encouraging all states to vote no.

Internet historians will recall that there is already a convention on cybercrime, sometimes called the Budapest Convention. Drawn up in 2001 by the Council of Europe to come into force in 2004, it was signed by 70 countries and ratified by 68. The new treaty has been drafted by a much broader range of countries, including Russia and China, is meant to be consistent with that older agreement. However, the hope is it will achieve the global acceptance its predecessor did not, in part because of the broader

However, opponents are concerned that the treaty is vague, failing to limit its application to crimes that can only be committed via a computer, and lacks safeguards. It’s understandable that law enforcement, faced with the kinds of complex attacks on computer systems we see today want their path to international cooperation eased. But, as EFF writes, that eased cooperation should not extend to “serious crimes” whose definition and punishment is left up to individual countries.

Illustrations: Halloween display seen near Mechanicsburg, PA.

Review: The Web We Weave

The Web We Weave
By Jeff Jarvis
Basic Books
ISBN: 9781541604124

Sometime in the very early 1990s, someone came up to me at a conference and told me I should read the work of Robert McChesney. When I followed the instruction, I found a history of how radio and TV started as educational media and wound up commercially controlled. Ever since, this is the lens through which I’ve watched the Internet develop: how do we keep the Internet from following that same path? If all you look at is the last 30 years of web development, you might think we can’t.

A similar mission animates retired CUNY professor Jeff Jarvis in his latest book, The Web We Weave. In it, among other things, he advocates reanimating the open web by reviving the blogs many abandoned when Twitter came along and embracing other forms of citizen media. Phenomena such as disinformation, misinformation, and other harms attributed to social media, he writes, have precursor moral panics: novels, comic books, radio, TV, all were once new media whose evils older generations fretted about. (For my parents, it was comic books, which they completely banned while ignoring the hours of TV I watched.) With that past in mind, much of today’s online harms regulation leaves him skeptical.

As a media professor, Jarvis is interested in the broad sweep of history, setting social media into the context that began with the invention of the printing press. That has its benefits when it comes to later chapters where he’s making policy recommendations on what to regulate and how. Jarvis is emphatically a free-speech advocate.

Among his recommendations are those such advocates typically support: users should be empowered, educated, and taught to take responsibility, and we should develop business models that support good speech. Regulation, he writes, should include the following elements: transparency, accountability, disclosure, redress, and behavior rather than content.

On the other hand, Jarvis is emphatically not a technical or design expert, and therefore has little to say about the impact on user behavior of technical design decisions. Some things we know are constants. For example, the willingness of (fully identified) online communicators to attack each other was noted as long ago as the 1980s, when Sara Kiesler studied the first corporate mailing lists.

Others, however, are not. Those developing Mastodon, for example, deliberately chose not to implement the ability to quote and comment on a post because they believed that feature fostered abuse and pile-ons. Similarly, Lawrence Lessig pointed out in 1999 in Code and Other Laws of Cyberspae (PDF) that you couldn’t foment a revolution using AOL chatrooms because they had a limit of 23 simultaneous users.

Understanding the impact of technical decisions requires experience, experimentation, and, above all, time. If you doubt this, read Mike Masnick’s series at Techdirt on Elon Musk’s takeover and destruction of Twitter. His changes to the verification system alone have undermined the ability to understand who’s posting and decide how trustworthy their information is.

Jarvis goes on to suggest we should rediscover human scale and mutual obligation, both crucial as the covid pandemic progressed. The money will always favor mass scale. But we don’t have to go that way.