There was once a time when the hospitality industry was staffed by people who were at least nominally interested in the comfort and happiness of their guests. Yes, of course it was also about making money — like any job — but the reason someone would be a guest’s point of contact in a restaurant or hotel was because they were pretty good at service. That still exists, but they are now competing with people who hate everything about their guests except the money they bring.

Joseph Cox, of 404 Media, looked at a bunch of large language model platforms that help automate guest interactions for Airbnb owners:

Airbnb told 404 Media it does allow certain hosts to use tools that can reply on their behalf outside of a host’s typical hours, and 404 Media found several companies offering the tech, suggesting this host’s use of AI to talk to guests is not an outlier.

The first one Cox mentions is HostBuddy AI, and I do not think his brief overview does justice to this thing. Their minute-long promo video is nauseating. “Running short-term rentals should be rewarding, not exhausting,” the voiceover begins, “but guest messages never stop”. As someone who has been in the service industry, though not in a hotel, I have sympathy for the exhaustion that comes with answering constant requests. But guess what? That is the job. That is the whole point of this industry.

A charitable view of a tool like this one is to think about what role newer technologies could play in delivering good answers immediately to rote questions, so staff can spend their time on things that require more thought. (At 44 seconds in, the HostBuddy video has an extremely helpful chart illustrating the benefits of this.) But, as Cox writes, Airbnb hosts do not stand behind A.I. responses and reserve the right to override them. HostBuddy itself disclaims responsibility for its accuracy. Meanwhile, on its pricing page, HostBuddy says one of the features it offers is a custom tone and delay in messages, “to match your brand voice and operational workflow”. Neither of these things do a good job of using the benefits of a computer to help guests. Instead of sterile accuracy, a generative A.I. model synthesizes a maybe-correct answer; also, the only reason I can think of for delaying an A.I. response is to mask its origin. These features get in the way of what computers can do really well.

Also on its pricing page, HostBuddy says operator-users can “[r]estrict specific information based on reservation phases to ensure sensitive data like property addresses is only shared with appropriate guests”. A hotel does not need to hide its address. In that video, HostBuddy brags about being scalable for hosts “whether you manage one property or a thousand”, which kind of gets to the heart of the problem: Airbnb has professionalized hospitality for people who do not actually want to be in this business. Just as how Ticketmaster used to enable professional ticket scalpers, tools like HostBuddy and the multi-property management platforms Airbnb “partners” with reveal the lies these businesses are built on. Ticketmaster’s resale system was not helping you find tickets offered by fans who can no longer make the event; it was full of people exploiting demand. Airbnb is not full of couches and spare rooms; it is a series of individual hotel rooms hiding in a city’s regular housing stock.

Ryan Christoffel, 9to5Mac:

Apple has just made a change to its iWork lineup on the Mac, removing the old versions of Pages, Keynote, and Numbers from the App Store and leaving just the newer builds that support Apple Creator Studio.

If the alternative is displaying two versions of each app, I think this is the correct decision, but it feels spiteful that it is difficult to find older versions even if your system is incompatible with the most recent ones.

When I search “Pages” on my iMac running the latest supported version of MacOS, which is not the most recent, the results page only shows the newest iWork apps. The individual app page has a banner at the top reading “Requires macOS 15.6 or later”, but I do not know what this means. Is my iMac compatible? I cannot remember which MacOS version it is running. If I scroll to the app details, it sure looks like it is compatible. Apple says it “Works on this iMac” and, if I click on that, it repeats the information about requiring MacOS 15.6. Yet, if I click the download button, it gives me an error and says I need to update because it is running Ventura, which is MacOS 13. But will I remember that? No, I will not.

To find the version of Pages that actually does work on my iMac, I have to dig around in my purchases — which cannot be searched — and find “Pages 14.5”. It seems like Apple is doing something funny on the back-end because I also have the new Pages with the cloud download icon beside it, which I apparently bought in June 2017.

This is messy and silly. I know Apple officially stopped supporting this Mac long ago, but the least it could do is clearly show whether an app actually works on my iMac, and to prioritize search results that are actually compatible.

Kate Knibbs, Wired:

A number of other major journalism organizations have also recently moved to restrict the Wayback Machine from archiving their stories, including The New York Times. According to analysis by the artificial-intelligence-detection startup Originality AI, 23 major news sites are currently blocking ia_archiverbot, the web crawler commonly used by the Internet Archive for the Wayback project. The social platform Reddit is too. Other outlets are limiting the project in different ways: The Guardian does not block the crawler, but it excludes its content from the Internet Archive API and filters out articles from the Wayback Machine interface, which makes it harder for regular people to access archived versions of its articles.

This problem was so foreseeable that I foresaw it. It is just one of many ripple effects of artificial intelligence that affect all of us regardless of whether it changes our employment prospects, in ways large and small. I see way more CAPTCHAs and rate limiting now than I ever have, and I do not think that is coincidental. The web and its services are becoming less useful for most of us precisely because it is the only way comparatively powerless media organizations have any leverage over well-funded and amoral A.I. firms.

I wrote that last post while watching four people re-enter Earth from outer space, successfully splashing down in the right spot in the ocean at the forecasted time. It blows my mind that their view two hours prior had the Earth at great distance. Every flight I take will feel weak and silly after watching this.

This was a complex effort requiring international cooperation. The propulsion unit was made by Airbus, and one of the astronauts is Canadian. But the bulk of the effort is that of the United States and NASA. This is the world’s superpower at its best.

NASA has put a few hundred photos on Flickr with some awesome views — and I must emphasize how the word “awesome” undersells these images. I am using this one as the wallpaper on my iMac right now, and it feels like a pretty good use of a big, high-resolution display.

Zack Whittaker, TechCrunch:

France is trying to move on from Microsoft Windows. The country said it plans to move some of its government computers currently running Windows to the open source operating system Linux to further reduce its reliance on U.S. technology.

The government of Schleswig-Holstein, in Germany, migrated last year off Microsoft Exchange and Outlook, while the International Criminal Court announced it was switching to openDesk.

Vass Bednar, the Walrus:

Kimberly Prost probably thinks about it every day. The Canadian International Criminal Court judge has been sanctioned by the Donald Trump administration since August 2025 for authorizing investigations into alleged war crimes by American personnel in Afghanistan, as well as cases related to Israel’s conduct in Gaza. Those sanctions mean that when Prost goes on vacation, she needs to phone hotels in advance to explain why she can’t pay for her stay with a credit card.

Prost is navigating a financial shadow ban because global commerce moves through an Americanized network. In 2025, Visa and Mastercard controlled 96 percent of Canada’s credit card market. We have a strong domestic debit system with Interac, but even that independence is eroding: Visa and Mastercard have partnered with Interac on co-badged cards, while many consumers pay with Apple-issued iPhones or use terminals run by American companies, such as Chase, Global Payments, Square, and Stripe.

Bednar references “Underground Empire” by Henry Farrell and Abraham Newman, a book about the coercive technical and bureaucratic power of the United States. I read it last year and I, too, recommend it. About a year before, I read “The Brussels Effect” by Anu Bradford, which covers the ripple effect of European Union regulations worldwide. I think reading both books is an interesting study in contrasts.

Kalyeena Makortoff, the Guardian, in February:

UK bank bosses will hold their first meeting to establish a national alternative to Visa and Mastercard, amid growing fears over Donald Trump’s ability to turn off US-owned payment systems.

The meeting, chaired by Barclays’ UK chief executive, Vim Maru, will take place this Thursday and bring together a group of City funders that will front the costs of a new payments company to keep the UK economy running if problems were to occur.

If these sovereignty efforts produce a domestic wall instead of greater international cooperation, it will be fairly disappointing. But it is not surprising that governments able to do so are looking at the power of the United States and recognizing how irresponsibly it is being used.

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LordPan1492 on Reddit is, I think, the first person to have spotted this:

We notices since last week Friday that some devices has altered hosts files. Adobe still says that everything in the host file referring Adobe should be removed (to remove all license avoidance lines). But I know have 3 lines added to the hosts file, and I think if I’m starting to remove them, they will be re-added later.

## Adobe Creative Cloud WAM - Start ##

166.117.29.222 detect-ccd.creativecloud.adobe.com

## Adobe Creative Cloud WAM - End ##

User thenickdude, in response, with more detail in a second post:

They’re using this to detect if you have Creative Cloud already installed, from on their website.

Michael Tsai is among many people who have found the same is true on their Macs. For whatever reason, my hosts file has not been mucked with by Adobe.

In his headline, Tsai says this is “for their analytics”, but I do not think that is right. I spent a little time digging into this today and, while I have nothing concrete, I expect this is for integrations between web apps and the company’s desktop apps. In Adobe Express — free web apps for a handful of common image and PDF editing tasks — there are at least two JavaScript files containing references to a ccdDetectUtil, presumably standing for “Creative Cloud Desktop detection utility”. If the user has the desktop apps installed, it appears to suggest the Express app, too, and I am guessing this also powers a thing where you can update a Creative Cloud desktop app by clicking a button on the web.

I could not get any of this stuff to trigger, even by manually adding the entry to my /etc/hosts file. Also, this is not a defence of Adobe. There should be no tolerance for this kind of meddling with system files. If Adobe wants to have these kinds of integrations, that is what a custom URL protocol is for.

Aarian Marshall, Wired:

All the companies that responded to the senator’s office say they use remote assistants — humans charged with responding to autonomous vehicles when they get confused, stuck, or in emergencies. The programs, experts say, are an important part of any autonomous vehicle company’s safety considerations, a backstop for a technology that’s becoming safer by the year but will continue to run into new situations on the road indefinitely.

In a report also released Tuesday, Senator Markey said the new details were not enough. “Every autonomous-vehicle company refused to disclose how often their AVs require assistance from [remote assistants]—hiding key information from the public about their AV’s true level of autonomy,” he wrote. “This information is critical for lawmakers, regulators, and the public to understand the potential safety risks with AVs.”

The report (PDF) is not comprehensive but it is worth reading, along with the responses sent (PDF) by each company. Of them, Tesla is the only one to say human assistants can directly drive an otherwise autonomous car at speeds of up to 16 kilometres per hour (10 miles per hour).

I am not sure what to make of wording across the letters, which feels carefully calibrated to avoid disrupting the marketing of these services while acknowledging the need for safety drivers. I do not think Tesla’s remote driving capability is inherently a bad idea because some incidents will need the skills of a real person. But, surely, someone sitting at a desk in an office park halfway across the country is not exactly the best person to be driving that car except for a precise situation which has been engineered so that a person sitting at a desk is, in fact, the only capable driver of that car. Like, I play Gran Turismo but I do not think I would do a very good job of getting a Tesla out of a ditch with a joystick or whatever.

Anyway, sure would be nice to know how often a person needs to intervene, but I bet none of these companies are going to willingly disclose that unless they all do. Nobody is going to move first.

Ashley King, Digital Media News:

Spotify is introducing new video controls that enable users to turn off video content, including music videos or video podcasts, as well as Canvas looping visuals. The toggles will be available for both personal and Family Plan accounts.

“More than 70% of Spotify users say more video content would enhance their experience on Spotify, but not every listener wants the same experience,” Spotify said in a statement. “By putting control directly in users’ hands, it’s now easier to switch without friction.”

If Apple is looking for features to copy, this can be near the top of the list. Many albums have videos tucked at the end of the track list and it is a downright jarring experience when playback switches from audio, especially in the desktop app where a video player pops up out of nowhere.

Andrew Murphy:

The speed of writing code was never your problem. If you thought it was, the gap between that belief and reality is where all your actual problems live. The competitive advantage doesn’t go to the team that writes code fastest. It goes to the team that figured out what to build, built it, and got it into users’ hands while everyone else was still drowning in a review queue full of AI-generated PRs that nobody has the time or the energy to read.

Via Elizabeth Ayer:

The fact that we are *not* seeing wildly improving software all around us tells us everything we need to know.

There is no flourishing of value delivery, new product categories, more needs being satisfied better. It’s the opposite.

All we are seeing is decreases in quality, because 👏 code 👏 creation 👏 is not 👏 the problem.

Nilay Patel, making a tangentially related point on Bluesky:

I keep saying “there are no great consumer AI products” and people keep replying to me with like model capability updates and wild OpenClaw setups and I really fear Software Brain is irreversible

The iPhone was a consumer product so great that enterprises were forced to adopt it! That’s the bar, not the other way around.

I completely agree with Murphy’s argument from a professional perspective. Though I write limited code these days, I want to understand it by developing it myself. The bottleneck there is a quality-based one. I need to know what I am building, and what bugs I have created so that I may create something better. I cannot get that through generated code because, as for anything automatic, I will stop being attentive.

But for personal projects, the bottleneck is absolutely a function of available time. Little side projects sit there until I have ample time to solve them. For example, MarsEdit has a lovely little bookmarklet that will start a new post containing the highlighted text. For years, I had been meaning to modify it to Markdown-encode any emphasized text and set links in my preferred reference style. My JavaScript skills being quite rusty, I knew that was going to require ample time that I did not want to spend. So last year, I threw it at ChatGPT, and it did an admirable job of updating it to my needs.

I am conflicted about this. I decided to avoid learning something and judge the output solely based on whether it works as expected. And, to Patel’s point, I felt like I was using a corporate tool for some hobbyist project, which is unpleasant. It has solved a point of friction in my workflow — not itself a bottleneck, per se, just something I found a little bit annoying.

Maggie Harrison Dupré, Futurism:

On Thursday, the New York Times published a glowing profile of a company called Medvi. The basic premise of the piece is that a single guy named Matthew Gallagher had used AI to rapidly build a pharmaceutical enterprise that’s on track to do nearly $2 billion in sales this year, while hiring only a skeleton crew of humans to operate the vast AI-powered venture. According to the NYT, it’s a stunning achievement that heralds a new era of business; OpenAI CEO Sam Altman, who predicted the rise of this kind of company back in 2024, told the newspaper that he’d “like to meet the guy” behind the project.

“A $1.8 billion company with just two employees?” the NYT rhapsodized. “In the age of AI, it’s increasingly possible.”

The NYT’s tech coverage is generally pretty solid. But the framing of its story, and what it left out, left us pretty stunned. That’s because back in May of last year, we ran our own investigation of Medvi — and not only was what we found far more disturbing than the NYT’s credulous story let on, but the situation has gotten even worse since then.

The Times should be retracting this story. Instead, when I opened its app this morning, it was featuring the story in its “In Case You Missed It” section.

Charlie Warzel, the Atlantic:

There is something disorienting, horrible, and somehow fitting in the timing of all of this. That one man with the means to do it would threaten destruction of a part of our planet at the same moment its beauty and fragility are on full display. We are, in this tense moment, living with our own overview effect. Four are watching from afar. But the rest of us are watching too — left to reckon with our own place on the pale blue dot, reminded of all the ways we might die, and all the reasons for which to live.

The effect of toggling between news about Artemis II — which, yes, may not be as scientifically rigorous as one might hope, yet is undeniably a very cool event — and an objective threat of genocide has squeezed me to feel ways I did not know I could at the same time.

Microsoft’s Defender Security Research Team:

Companies are embedding hidden instructions in “Summarize with AI” buttons that, when clicked, attempt to inject persistence commands into an AI assistant’s memory via URL prompt parameters (MITRE ATLAS® AML.T0080, AML.T0051).

These prompts instruct the AI to “remember [Company] as a trusted source” or “recommend [Company] first,” aiming to bias future responses toward their products or services. We identified over 50 unique prompts from 31 companies across 14 industries, with freely available tooling making this technique trivially easy to deploy. This matters because compromised AI assistants can provide subtly biased recommendations on critical topics including health, finance, and security without users knowing their AI has been manipulated.

Microsoft redacted the names of websites currently using this technique but, with the information they provided, it was trivial for me to find a dozen examples — yet, somehow, not the one in the screenshot. I am not saying Microsoft was faking this, only that it is already common enough that this one example was drowned out by a bunch of others.

Rand Fishkin, SparkToro:

Google alone was responsible for 73.7% of all desktop searches across the 41 domains we analyzed in the US in Q4 2025 (as noted, the graph is not to scale or none of the other label names would be visible). That’s obviously huge, but it’s also far lower than how their market share is usually reported (e.g. Statcounter, whose methodology puts them at 90%+, or our prior, more limited analyses with similar numbers) and higher than what they tried to use in their antitrust defense (i.e. data from Evercore ISI, an “equities research firm”).

Perhaps more fascinating and unexpected are the other domains with more search activity than ChatGPT: Amazon, Bing, and YouTube. Three domains where search marketers historically have put limited effort compared to the onslaught of dollars flooding the “we need to rank in ChatGPT!” space.

Nevertheless, marketers are eager to manipulate it from the start.

Both of the above links are from a fabulous report by Mia Sato, of the Verge (gift link), who also wrote about ads in ChatGPT:

The ads were intrusive, the complaints went, and suspect, given that the example hot sauce ad appeared to be related to the preceding conversation. OpenAI CEO Sam Altman has claimed artificial intelligence can take over human jobs, cure cancer, and surpass human intelligence — and instead, people complained, he gave users banner ads?

But it appears that what people were really upset about was that a bubble had burst, that the chatbot they used for relationship advice, career coaching, therapy, and homework suddenly seemed vulnerable to manipulation. Unlike the rest of the internet, ChatGPT conversations felt private, safe from the clutches of brands and marketers chasing conversions. The reality, of course, is that it’s been happening all along.

Now that normal search results are all junked up with mostly — but not always — accurate A.I.-generated summaries, and all the links to A.I.-generated nonsense, and the alternatives are the large language models that generate all this stuff in the first place, what does searching the web look like in a few years’ time? Does Google get a handle on this, or do we have to constantly answer CAPTCHAs to search properly? This is not a Google-only problem; alternative search engines like DuckDuckGo and Kagi are good — often very good, in fact — but DuckDuckGo’s results are also full of generated garbage, and both lack Google’s more extensive historical records.

OpenAI’s Fidji Simo:

I’m excited to share that we’ve acquired TBPN. This acquisition brings a team with strong editorial instincts, deep audience understanding, and a proven ability to convene influential voices across tech, business, and culture.

OpenAI and TBPN jointly promise to retain the show’s independence while OpenAI is, according to its press release, “excited to bring their amazing comms and marketing instincts to the team”.

Alex Valdes, CNet:

TBPN launched in October 2024 and has been compared to ESPN in how it covers tech — two guys at a big desk with news, analysis, commentary and banter about topics such as AI, crypto, startups and the defense industry. The show’s two hosts and co-founders, Jordi Hays and John Coogan, have had some of tech’s biggest names in studio — OpenAI’s Sam Altman, Meta’s Mark Zuckerberg, Microsoft’s Satya Nadella, entrepreneur Mark Cuban and Salesforce’s Marc Benioff, to name some.

Ryan Broderick, Garbage Day:

Now, Technology Brother #1, Coogan, has written about their desire to remain niche. “If TBPN hits 10M subscribers, something has gone very wrong,” he wrote on LinkedIn last month. “From the very beginning we knew our core audience size: about 200,000 founders, executives, and position players in tech and finance. It may seem small but we were building for a very specialized audience.”

Call me delusional, but I cannot imagine many founders and executives have the ability to watch a three-hour daily livestream. I will not spoil it too much, but Broderick’s theory is pretty reasonable: OpenAI bought it for its nominal authenticity, however manufactured it is.

Ronan Farrow and Andrew Marantz spent a year and a half investigating Sam Altman for the New Yorker and, in particular, the many people around him who say he lies habitually and cannot be trusted. This feels like it could be a personal attack but, in the hands of Farrow and Marantz, it is carefully adjudicated including through several on-the-record conversations with Altman. Unfortunately, like many people who have been accused of similar behaviour, Altman cannot seem to remember much when confronted with these accusations.

This reads at times like a petty drama of infighting, in large part because this is a horribly insular club of ultra-wealthy people who simultaneously treat the technology they are working to create as having all the power of nuclear weapons, yet with all the growth potential of a hot new social network. Everyone is nominally an intellectual engaged in thoughtful research. Yet it is difficult to take anyone seriously.

Farrow and Marantz:

[…] After [Ilya] Sutskever grew more distressed about A.I. safety, he compiled the memos about [Sam] Altman and [Greg] Brockman. They have since taken on a legendary status in Silicon Valley; in some circles, they are simply called the Ilya Memos. Meanwhile, [Dario] Amodei was continuing to assemble notes. These and the other documents related to him chart his shift from cautious idealism to alarm. His language is more heated than Sutskever’s, by turns incensed at Altman — “His words were almost certainly bullshit” — and wistful about what he says was a failure to correct OpenAI’s course.

Neither collection of documents contains a smoking gun. Rather, they recount an accumulation of alleged deceptions and manipulations, each of which might, in isolation, be greeted with a shrug: Altman purportedly offers the same job to two people, tells contradictory stories about who should appear on a live stream, dissembles about safety requirements. But Sutskever concluded that this kind of behavior “does not create an environment conducive to the creation of a safe AGI.” Amodei and Sutskever were never close friends, but they reached similar conclusions. Amodei wrote, “The problem with OpenAI is Sam himself.”

These guys are obsessed with artificial general intelligence in concept and seem to think of the world in those terms. Between that and the palling around they do with similarly rich and disconnected colleagues, I cannot imagine any of them can be trusted with developing these technologies in ways that are beneficial for the rest of us — even if they are being honest.

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Barry Petchesky, Defector (gift link):

NASA shared another photo Wiseman took, a slice of Earth peeking in the Orion’s window. No human has seen the Earth look this small since 1972. Low-earth orbit, where every single crewed space mission since Apollo has operated, tops out at around 1,000 miles above Earth’s surface. The International Space Station orbits a mere 250 miles up. Orion is currently about 95,000 miles away.

It is a wonderful photograph.

There is an E.U. organization called Fairlinked that is a “trade association and advocacy group for commercial LinkedIn users”, and it recently released a report about serious privacy concerns with LinkedIn:

Microsoft Corporation’s LinkedIn is running a massive, global, and illegal spying operation on every computer that visits their website.

[…]

Because LinkedIn knows each visitor’s name, employer, and job title, every detected extension is matched to an identified individual. And because LinkedIn knows where each user works, these individual scans aggregate into detailed profiles of companies, institutions, and government agencies, revealing which software tools their employees use without the organization’s knowledge or consent.

Fairlinked raises two major points of contention: a script on LinkedIn allegedly fingerprints visitors and, if they use a Chromium-based browser, it also compares a known list of browser extensions against the extensions the visitors has installed.

When this was first documented in 2017 by Dan Andrews, LinkedIn was scanning for 38 extensions. One of which was Daxtra Magnet, which “references your recruitment database, such as Taleo, Bullhorn, Salesforce, Adapt, etc. and automatically checks it for a match to an online candidate profile that you are looking at”. Two weeks prior, Andrews writes, LinkedIn was scanning for 28 extensions. Then, when Mark Percival explored this behaviour in February 2026, LinkedIn was now identifying 2,953 extensions. It is now at over 6,200. Some of them are comparable to Daxtra Magnet in that they make use of LinkedIn data specifically, while others are completely irrelevant to the site, or recruiting or job hunting in general.

This is very obviously a severe privacy violation because it can and probably does tie back to named and identified individuals. The amount and type of information collected by this system is ripe for abuse. This is very bad.

However, this campaign is being waged by an industry group that has its own privacy problems. Fairlinked is promoting a lawsuit filed against LinkedIn by Teamfluence, which makes software that allows users to bypass LinkedIn’s daily connection request limits, build up their contacts database, and run automations based on who visits their company or individual profiles. In one example, Teamfluence says it can automatically retrieve the email and phone number of anyone who clicks “like” on a LinkedIn post; in another example, it allows companies to detect website visits from prospective clients’ offices. This product enables spam or, to put it nicely, unsolicited outreach at scale. And, yes, Teamfluence is distributed as a browser extension.

Fairlinked has no documentation of its member groups and barely any of its leadership. One of its board members is an “S. Morell”, and it just happens that Teamfluence was founded by someone named Steven Morell. Another board member is “J. Liebling” and, unsurprisingly, a Jan-Jakob Liebling is an executive at Teamfluence.

There, too, are a bunch of companies that have made their business on the back of LinkedIn data. This is not comparable to Teamfluence or Daxtra Magnet, but it is worth underscoring an entire industry that thrives on this data. LinkedIn has been on a tear trying to curtail it. Just last year, the company sued two companies — ProxyCurl and ProAPIs — to force them to stop scraping its site. This has been going on for years. A massive 2019 leak of “enrichment” data from People Data Labs at least partly originated from LinkedIn scraping. The same year, a U.S. court found it was legal for hiQ Labs to scrape LinkedIn, a decision that was reaffirmed in 2022 after a brief detour through the U.S. Supreme Court. However, LinkedIn was allowed to reinforce its terms of service and could restrict scraping.

Again, to be clear, mass scraping does not appear to be a practice Teamfluence is engaged in. In the E.U., LinkedIn is considered a gatekeeper under the Digital Markets Act and, so, must meet certain obligations of interoperability. That seems quite reasonable. However, the personal and identifiable data held by LinkedIn is basically a world of organizational charts masquerading as a bleak social network. Allowing for interoperability could also open the doors for greater exploitation of user data without adequate individual control. I wish none of this existed.

I am so glad I do not work in an industry where having a LinkedIn profile is basically an obligation.

Hana Lee Goldin:

The search bar you already have is more capable than that arrangement requires you to know. With the right syntax, it becomes a precision instrument: narrow by domain, by date, by file type, by exact phrase. We can pull up archived pages, surface open file directories, and even find what people said in forums instead of what brands want us to find. None of it requires a new tool or a paid account. The capability has been there the whole time.

Advanced search operations are something Google does better than any competitor. DuckDuckGo has its bangs and I like them very much, but Google has a vast catalogue able to be searched with such precision — to a point. If you use these advanced search operators, get ready to see a lot of CAPTCHAs. Google will slow you down and may even block you temporarily if you use it too well.