Telegram Rolled Over for Russia. Has Google YouTube Become a Circus Animal Too?
August 19, 2024
This essay is the work of a dumb dinobaby. No smart software required.
Most of the people with whom I interact do not know that Telegram apparently took steps to filter content which the Kremlin deemed unsuitable for Russian citizens. Information reaching me in late April 2024 asserted that Ukrainian government units were no longer able to use Telegram Messenger functions to disseminate information to Telegram users in Russia about Mr. Putin’s “special operation.” Telegram has made a big deal about its commitment to free speech, and it has taken a very, very light touch to censoring content and transactions on its basic and “secret” messaging service. Then, at the end of April 2024, Mr. Pavel Durov flipped, apparently in response to either a request or threat from someone in Russia. The change in direction for a messaging app with 900 million users is a peanut compared to Meta WhatsApp five million or so. But when free speech becomes obeisance I take note.
I have been tracking Russian YouTubers because I have found that some of the videos provide useful insights into the impact of the “special operation” on prices, the attitudes of young people, and imagery about the condition of housing, information day-to-day banking matters, and the demeanor of people in the background of some YouTube, TikTok, Rutube, and Kick videos.
I want to mention that Alphabet Google YouTube a couple of years ago took action to suspend Russian state channels from earning advertising revenue from the Google “we pay you” platform. Facebook and the “old” Twitter did this as well. I have heard that Google and YouTube leadership understood that Ukraine wanted those “propaganda channels” blocked. The online advertising giant complied. About 9,000 channels were demonetized or made difficult to find (to be fair, finding certain information on YouTube is not an easy task.) Now Russia has convinced Google to respond to its wishes.
So what? To most people, this is not important. Just block the “bad” content. Get on with life.
I watched a video called “Demonetized! Update and the Future.” The presenter is a former business manager who turned to YouTube to document his view of Russian political, business, and social events. The gentleman — allegedly named “Konstantin” — worked in the US. He returned to Russia and then moved to Uzbekistan. His YouTube channel is (was) titled Inside Russia.
The video “Demonetized! Update and the Future” caught my attention. Please, note, that the video may be unavailable when you read this blog post. “Demonetization” is Google speak for cutting of advertising revenue itself and to the creator.
Several other Russian vloggers producing English language content about Russia, the Land of Putin on the Fritz, have expressed concern about their vlogging since Russia slowed down YouTube bandwidth making some content unwatchable. Others have taken steps to avoid problems; for example, creators Svetlana, Niki, and Nfkrz have left Russia. Others are keeping a low profile.
This raises questions about the management approach in a large and mostly unregulated American high-technology company. According to Inside Russia’s owner Konstantin, YouTube offered no explanation for the demonetization of the channel. Konstantin asserts that YouTube is not providing information to him about its unilateral action. My hunch is that he does not want to come out and say, “The Kremlin pressured an American company to cut off my information about the impact of the ‘special operation’ on Russia.”
Several observations:
- I have heard but not verified that Apple has cooperated with the Kremlin’s wish for certain content to be blocked so that it does not quickly reach Russian citizens. It is unclear what has caused the US companies to knuckle under. My initial thought was, “Money.” These outfits want to obtain revenues from Russia and its federation, hoping to avoid a permanent ban when the “special operation” ends. The inducements (and I am speculating) might also have a kinetic component. That occurs when a person falls out of a third story window and then impacts the ground. Yes, falling out of windows can happen.
- I surmise that the vloggers who are “demonetized” are probably on a list. These individuals and their families are likely to have a tough time getting a Russian government job, a visa, or a passport. The list may have the address for the individual who is generating unacceptable-to-the-Kremlin content. (There is a Google Map for Uzbekistan’s suburb where Konstantin may be living.)
- It is possible that YouTube is doing nothing other than letting its “algorithm” make decisions. Demonetizing Russian YouTubers is nothing more than an unintended consequence of no material significance.
- Does YouTube deserve some attention because its mostly anything-goes approach to content seems to be malleable? For example, I can find information about how to steal a commercial software program owned by a German company via the YouTube search box. Why is this crime not filtered? Is a fellow talking about the “special operation” subject to a different set of rules?
Screen shot of suggested terms for the prompt “Magix Vegas Pro 21 crack” taken on August 16, 2024, at 224 pm US Eastern.
I have seen some interesting corporate actions in my 80 years. But the idea that a country, not particularly friendly to the U.S. at this time, can cause an American company to take what appears to be an specific step designed to curtail information flow is remarkable. Perhaps when Alphabet executives explain to Congress the filtering of certain American news related to events linked to the current presidential campaign more information will be made available?
If Konstantin’s allegations about demonetization are accurate, what’s next on Alphabet, Google, and YouTube’s to-do list for information snuffing or information cleansing?
Stephen E Arnold, August 18, 2024
Pragmatic AI: Individualized Monitoring
August 15, 2024
This essay is the work of a dinobaby. Unlike some folks, no smart software improved my native ineptness.
In June 2024 at the TechnoSecurity & Digital Forensics conference, one of the cyber investigators asked me, “What are some practical uses of AI in law enforcement?” I told the person that I would send him a summary of my earlier lecture called “AI for LE.” He said, “Thanks, but what should I watch to see some AI in action.” I told him to pay attention to the Kroger pricing methods. I had heard that Kroger was experimenting with altering prices based on certain signals. The example I gave is that if the Kroger is located in a certain zip code, then the Kroger stores in that specific area would use dynamic pricing. The example I gave was similar to Coca-Cola’s tests of a vending machine that charged more if the temperature was hot. In the Kroger example, a hot day would trigger a change in the price of a frozen dessert. He replied, “Kroger?” I said, “Yes, Kroger is experimenting with AI in order to detect specific behaviors and modify prices to reflect those signals.” What Kroger is doing will be coming to law enforcement and intelligence operations. Smart software monitors the behavior of a prisoner, for example, and automatically notifies an investigator when a certain signal is received. I recall mentioning that smart software, signals, and behavior change or direct action will become key components of a cyber investigator’s tool kit. He said, laughing, “Kroger. Interesting.”
Thanks, MSFT Copilot. Good enough.
I learned that Kroger’s surveillance concept is now not a rumor discussed at a neighborhood get together. “‘Corporate Greed Is Out of Control’: Warren Slams Kroger’s AI Pricing Scheme” reveals that elected officials and probably some consumer protection officials may be aware of the company’s plans for smart software. The write up reports:
Warren (D-Mass.) was joined by Sen. Bob Casey (D-Pa.) on Wednesday in writing a letter to the chairman and CEO of the Kroger Company, Rodney McMullen, raising concerns about how the company’s collaboration with AI company IntelligenceNode could result in both privacy violations and worsened inequality as customers are forced to pay more based on personal data Kroger gathers about them “to determine how much price hiking [they] can tolerate.” As the senators wrote, the chain first introduced dynamic pricing in 2018 and expanded to 500 of its nearly 3,000 stores last year. The company has partnered with Microsoft to develop an Electronic Shelving Label (ESL) system known as Enhanced Display for Grocery Environment (EDGE), using a digital tag to display prices in stores so that employees can change prices throughout the day with the click of a button.
My view is that AI orchestration will allow additional features and functions. Some of these may be appropriate for use in policeware and intelware systems. Kroger makes an effort to get individuals to sign up for a discount card. Also, Kroger wants users to install the Kroger app. The idea is that discounts or other incentives may be “awarded” to the customer who takes advantages of the services.
However, I am speculating that AI orchestration will allow Kroger to implement a chain of actions like this:
- Customer with a mobile phone enters the store
- The store “acknowledges” the customer
- The customer’s spending profile is accessed
- The customer is “known” to purchase upscale branded ice cream
- The price for that item automatically changes as the customer approaches the display
- The system records the item bar code and the customer ID number
- At check out, the customer is charged the higher price.
Is this type of AI orchestration possible? Yes. Is it practical for a grocery store to deploy? Yes because Kroger uses third parties to provide its systems and technical capabilities for many applications.
How does this apply to law enforcement? Kroger’s use of individualized tracking may provide some ideas for cyber investigators.
As large firms with the resources to deploy state-of-the-art technology to boost sales, know the customer, and adjust prices at the individual shopper level, the benefit of smart software become increasingly visible. Some specialized software systems lag behind commercial systems. Among the reasons are budget constraints and the often complicated procurement processes.
But what is at the grocery store is going to become a standard function in many specialized software systems. These will range from security monitoring systems which can follow a person of interest in an specific area to automatically updating a person of interest’s location on a geographic information module.
If you are interested in watching smart software and individualized “smart” actions, just pay attention at Kroger or a similar retail outfit.
Stephen E Arnold, August 15, 2024
Canadians Unhappy about Tax on Streaming Video
August 15, 2024
Unfortunately the movie industry has tanked worldwide because streaming services have democratized delivery. Producers, directors, actors, and other industry professionals are all feeling the pain of tighter purse strings. The problems aren’t limited to Hollywood, because Morningstar explains that the US’s northern neighbor is also feeling the strain: “The Motion Picture Association-Canada Asks Canada Appeal Court To Stop Proposed Tax On Streaming Revenue.”
A group representing big entertainment companies: Walt Disney, Netflix, Warner Brothers, Discovery, Paramount Global, and more are asking a Canadian court to stop a law that would force the companies to pay 5% of their sales to the country to fund local news and other domestic content. The Motion Picture Association- Canada stated that tax from the Canadian Radio-television and Telecommunications Commission oversteps the organization’s authority. The group representing the Hollywood bigwigs also mentions that its clients spent billions in Canada every year.
The representative group are also arguing that the tax would force Canadian subscribers to pay more for streaming services and the companies might consider leaving the northern country. Canadian Radio-television and Telecommunications Commission countered that without the tax local content might not be made or distributed anymore. Hollywood’s lawyers doesn’t like it at all:
“In their filing with Canada’s Federal Court of Appeal, lawyers for the group say the regulator didn’t reveal “any basis” for why foreign streamers are required to contribute to the production of local television and radio newscasts. The broadcast regulator “concluded, without evidence, that ‘there is a need to increase support for news production,'” the lawyers said in their filing. ‘Imposing on foreign online undertakings a requirement to fund news production is not appropriate in the light of the nature of the services that foreign online undertakings provide.’”
Canada will probably keep the tax and Hollywood, instead of the executives eating the costs, will pass it onto consumers. Consumers will also be shafted, because their entertainment streaming services will continue to become expensive.
Whitney Grace, August 15, 2024
Takedown Notices May Slightly Boost Sales of Content
August 13, 2024
It looks like take-down notices might help sales of legitimate books. A little bit. TorrentFreak shares the findings from a study by the University of Warsaw, Poland, in, “Taking Pirated Copies Offline Can Benefit Book Sales, Research Finds.” Writer Ernesto Van der Sar explains:
“This year alone, Google has processed hundreds of millions of takedown requests on behalf of publishers, at a frequency we have never seen before. The same publishers also target the pirate sites and their hosting providers directly, hoping to achieve results. Thus far, little is known about the effectiveness of these measures. In theory, takedowns are supposed to lead to limited availability of pirate sources and a subsequent increase in legitimate sales. But does it really work that way? To find out more, researchers from the University of Warsaw, Poland, set up a field experiment. They reached out to several major publishers and partnered with an anti-piracy outfit, to test whether takedown efforts have a measurable effect on legitimate book sales.”
See the write-up for the team’s methodology. There is a caveat: The study included only print books, because Poland’s e-book market is too small to be statistically reliable. This is an important detail, since digital e-books are a more direct swap for pirated copies found online. Even so, the researchers found takedown notices produced a slight bump in print-book sales. Research assistants confirmed they could find fewer pirated copies, and the ones they did find were harder to unearth. The write-up notes more research is needed before any conclusions can be drawn.
How hard will publishers tug at this thread? By this logic, if one closes libraries that will help book sales, too. Eliminating review copies may cause some sales. Why not publish books and keep them secret until Amazon provides a link? So many money-grubbing possibilities, and all it would cost is an educated public.
Cynthia Murrell, August 13, 2024
Apple Does Not Just Take Money from Google
August 12, 2024
In an apparent snub to Nvidia, reports MacRumors, “Apple Used Google Tensor Chips to Develop Apple Intelligence.” The decision to go with Google’s TPUv5p chips over Nvidia’s hardware is surprising, since Nvidia has been dominating the AI processor market. (Though some suggest that will soon change.) Citing Apple’s paper on the subject, writer Hartley Charlton reveals:
“The paper reveals that Apple utilized 2,048 of Google’s TPUv5p chips to build AI models and 8,192 TPUv4 processors for server AI models. The research paper does not mention Nvidia explicitly, but the absence of any reference to Nvidia’s hardware in the description of Apple’s AI infrastructure is telling and this omission suggests a deliberate choice to favor Google’s technology. The decision is noteworthy given Nvidia’s dominance in the AI processor market and since Apple very rarely discloses its hardware choices for development purposes. Nvidia’s GPUs are highly sought after for AI applications due to their performance and efficiency. Unlike Nvidia, which sells its chips and systems as standalone products, Google provides access to its TPUs through cloud services. Customers using Google’s TPUs have to develop their software within Google’s ecosystem, which offers integrated tools and services to streamline the development and deployment of AI models. In the paper, Apple’s engineers explain that the TPUs allowed them to train large, sophisticated AI models efficiently. They describe how Google’s TPUs are organized into large clusters, enabling the processing power necessary for training Apple’s AI models.”
Over the next two years, Apple says, it plans to spend $5 billion in AI server enhancements. The paper gives a nod to ethics, promising no private user data is used to train its AI models. Instead, it uses publicly available web data and licensed content, curated to protect user privacy. That is good. Now what about the astronomical power and water consumption? Apple has no reassuring words for us there. Is it because Apple is paying Google, not just taking money from Google?
Cynthia Murrell, August 12, 2024
Podcasts 2024: The Long Tail Is a Killer
August 9, 2024
This essay is the work of a dumb humanoid. No smart software required.
One of my Laws of Online is that the big get bigger. Those who are small go nowhere.
My laws have not been popular since I started promulgating them in the early 1980s. But they are useful to me. The write up “Golden Spike: Podcasting Saw A 22% Rise In Ad Spending In Q2 [2024].” The information in the article, if on the money, appear to support the Arnold Law articulated in the first sentence of this blog post.
The long tail can be a killer. Thanks, MSFT Copilot. How’s life these days? Oh, that’s too bad.
The write up contains an item of information which not surprising to those who paid attention in a good middle school or in a second year economics class. (I know. Snooze time for many students.) The main idea is that a small number of items account for a large proportion of the total occurrences.
Here’s what the article reports:
Unsurprisingly, podcasts in the top 500 attracted the majority of ad spend, with these shows garnering an average of $252,000 per month each. However, the profits made by series down the list don’t have much to complain about – podcasts ranked 501 to 3000 earned about $30,000 monthly. Magellan found seven out of the top ten advertisers from the first quarter continued their heavy investment in the second quarter, with one new entrant making its way onto the list.
This means that of the estimated three to four million podcasts, the power law nails where the advertising revenue goes.
I mention this because when I go to the gym I listen to some of the podcasts on the Leo Laporte TWIT network. At one time, the vision was to create the CNN of the technology industry. Now the podcasts seem to be the voice of the podcasts which cannot generate sufficient money from advertising to pay the bills. Therefore, hasta la vista staff, dedicated studio, and presumably some other expenses associated with a permanent studio.
Other podcasts will be hit by the stinging long tail. The question becomes, “How do these 2.9 million podcasts make money?”
Here’s what I have noticed in the last few months:
- Podcasters (video and voice) just quit. I assume they get a job or move in with friends. Van life is too expensive due to the cost of fuel, food, and maintenance now that advertising is chasing the winners in the long tail game.
- Some beg for subscribers.
- Some point people to their Buy Me a Coffee or Patreon page, among other similar community support services.
- Some sell T shirts. One popular technology podcaster sells a $60 screwdriver. (I need that.)
- Some just whine. (No, I won’t single out the winning whiner.)
If I were teaching math, this podcast advertising data would make an interesting example of the power law. Too bad most will be impotent to change its impact on podcasting.
Stephen E Arnold, August 9, 2024
AI Research: A New and Slippery Cost Center for the Google
August 7, 2024
This essay is the work of a dumb humanoid. No smart software required.
A week or so ago, I read “Scaling Exponents Across Parameterizations and Optimizers.” The write up made crystal clear that Google’s DeepMind can cook up a test, throw bodies at it, and generate a bit of “gray” literature. The objective, in my opinion, was three-fold. [1] The paper makes clear that DeepMind is thinking about its smart software’s weaknesses and wants to figure out what to do about them. And [2] DeepMind wants to keep up the flow of PR – Marketing which says, “We are really the Big Dogs in this stuff. Good luck catching up with the DeepMind deep researchers.” Note: The third item appears after the numbers.
I think the paper reveals a third and unintended consequence. This issue is made more tangible by an entity named 152334H and captured in “Calculating the Cost of a Google DeepMind Paper.” (Oh, 152334 is a deep blue black color if anyone cares.)
That write up presents calculations supporting this assertion:
How to burn US$10,000,000 on an arXiv preprint
The write up included this table presenting the costs to replicate what the xx Googlers and DeepMinders did to produce the ArXiv gray paper:
Notice, please, that the estimate is nearly $13 million. Anyone want to verify the Google results? What am I hearing? Crickets.
The gray paper’s 11 authors had to run the draft by review leadership and a lawyer or two. Once okayed, the document was converted to the arXiv format, and we the findings to improve our understanding of how much work goes into the achievements of the quantumly supreme Google.
Thijs number of $12 million and change brings me to item [3]. The paper illustrates why Google has a tough time controlling its costs. The paper is not “marketing,” because it is R&D. Some of the expense can be shuffled around. But in my book, the research is overhead, but it is not counted like the costs of cubicles for administrative assistants. It is science; it is a cost of doing business. Suck it up, you buttercups, in accounting.
The write up illustrates why Google needs as much money as it can possibly grab. These costs which are not really nice, tidy costs have to be covered. With more than 150,000 people working on projects, the costs of “gray” papers is a trigger for more costs. The compute time has to be paid for. Hello, cloud customers. The “thinking time” has to be paid for because coming up with great research is open ended and may take weeks, months, or years. One could not rush Einstein. One cannot rush Google wizards in the AI realm either.
The point of this blog post is to create a bit of sympathy for the professionals in Google’s accounting department. Those folks have a tough job figuring out how to cut costs. One cannot prevent 11 people from burning through computer time. The costs just hockey stick. Consequently the quantumly supreme professionals involved in Google cost control look for simpler, more comprehensible ways to generate sufficient cash to cover what are essentially “surprise” costs. These tools include magic wand behavior over payments to creators, smart commission tables to compensate advertising partners, and demands for more efficiency from Googlers who are not thinking big thoughts about big AI topics.
Net net: Have some awareness of how tough it is to be quantumly supreme. One has to keep the PR and Marketing messaging on track. One has to notch breakthroughs, insights, and innovations. What about that glue on the pizza thing? Answer: What?
Stephen E Arnold, August 7, 2024
Curating Content: Not Really and Maybe Not at All
August 5, 2024
This essay is the work of a dumb humanoid. No smart software required.
Most people assume that if software is downloaded from an official “store” or from a “trusted” online Web search system, the user assumes that malware is not part of the deal. Vendors bandy about the word “trust” at the same time wizards in the back office are filtering, selecting, and setting up mechanisms to sell advertising to anyone who has money.
Advertising sales professionals are the epitome of professionalism. Google the word “trust”. You will find many references to these skilled individuals. Thanks, MSFT Copilot. Good enough.
Are these statements accurate? Because I love the high-tech outfits, my personal view is that online users today have these characteristics:
- Deep knowledge about nefarious methods
- The time to verify each content object is not malware
- A keen interest in sustaining the perception that the Internet is a clean, well-lit place. (Sorry, Mr. Hemingway, “lighted” will get you a points deduction in some grammarians’ fantasy world.)
I read “Google Ads Spread Mac Malware Disguised As Popular Browser.” My world is shattered. Is an alleged monopoly fostering malware? Is the dominant force in online advertising unable to verify that its advertisers are dealing from the top of the digital card deck? Is Google incapable of behaving in a responsible manner? I have to sit down. What a shock to my dinobaby system.
The write up alleges:
Google Ads are mostly harmless, but if you see one promoting a particular web browser, avoid clicking. Security researchers have discovered new malware for Mac devices that steals passwords, cryptocurrency wallets and other sensitive data. It masquerades as Arc, a new browser that recently gained popularity due to its unconventional user experience.
My assumption is that Google’s AI and human monitors would be paying close attention to a browser that seeks to challenge Google’s Chrome browser. Could I be incorrect? Obviously if the write up is accurate I am. Be still my heart.
The write up continues:
The Mac malware posing as a Google ad is called Poseidon, according to researchers at Malwarebytes. When clicking the “more information” option next to the ad, it shows it was purchased by an entity called Coles & Co, an advertiser identity Google claims to have verified. Google verifies every entity that wants to advertise on its platform. In Google’s own words, this process aims “to provide a safe and trustworthy ad ecosystem for users and to comply with emerging regulations.” However, there seems to be some lapse in the verification process if advertisers can openly distribute malware to users. Though it is Google’s job to do everything it can to block bad ads, sometimes bad actors can temporarily evade their detection.
But the malware apparently exists and the ads are the vector. What’s the fix? Google is already doing its typical A Number One Quantumly Supreme Job. Well, the fix is you, the user.
You are sufficiently skilled to detect, understand, and avoid such online trickery, right?
Stephen E Arnold, August 5, 2024
Yep, the Old Internet Is Gone. Learn to Love the New Internet
August 1, 2024
This essay is the work of a dumb humanoid. No smart software required.
The market has given the Google the green light to restrict information. The information highway has a new on ramp. If you want content created by people who were not compensated, you have to use Google search. Toss in the advertising system and that good old free market is going to deliver bumper revenue to stakeholders.
Online search is a problem. Here’s an old timer like me who broke his leg. The young wizard who works at a large online services firm explains that I should not worry. By the time my leg heals, I will be dead. Happy thoughts from one of those Gen somethings. Thanks, MSFT Copilot. How your security systems today?
What about users? The reality is that with Google the default search system in Apple iPhones, the brand that has redefined search and retrieval to mean “pay to play,” what’s the big deal?
Years ago I explained in numerous speeches and articles in publications like Online Magazine that online fosters the creation of centralized monopolistic information services. Some information professionals dismissed my observation as stupid. The general response was that online would generate benefits. I agree. But there were a few downsides. I usually pointed to the duopoly in online for fee legal information. I referenced the American Chemical Society’s online service Chemical Abstracts. I even pointed out that outfits like Predicasts and the New York Times would have a very, very tough time creating profitable information centric standalone businesses. The centralization or magnetic pull of certain online services would make generating profits very expensive.
So where are we now? I read “Reddit, Google, and the Real Cost of the AI Data Rush.” The article is representative of “real” journalists’, pundits’, and some regulators’ understanding of online information. The write up says:
Google, like Reddit, owes its existence and success to the principles and practices of the open web, but exclusive arrangements like these mark the end of that long and incredibly fruitful era. They’re also a sign of things to come. The web was already in rough shape, reduced over the last 15 years by the rise of walled-off platforms, battered by advertising consolidation, and polluted by a glut of content from the AI products that used it for training. The rise of AI scraping threatens to finish the job, collapsing a flawed but enormously successful, decades-long experiment in open networking and human communication to a set of antagonistic contracts between warring tech firms.
I want to point out that Google bought rights to Reddit. If you want to search Reddit, you use Google. Because Reddit is a high traffic site, users have to use Google. Guess what? Most online users do not care. Search means Google. Information access means Google. Finding a restaurant means Google. Period.
Google has become a center of gravity in the online universe. One can argue that Google is the Internet. In my monograph Google Version 2.0: The Calculating Predator that is exactly what some Googlers envisioned for the firm. Once a user accesses Google, Google controls the information world. One can argue that Meta and TikTok are going to prevent that. Some folks suggest that one of the AI start ups will neutralize Google’s centralized gravitational force. Google is a distributed outfit. Think of it as like the background radiation in our universe. It is just there. Live with it.
Google has converted content created by people who were not compensated into zeros and ones that will enhance its magnetic pull on users.
Several observations:
- Users were so enamored of a service which could show useful results from the quite large and very disorganized pools of digital information that it sucked the life out of its competitors.
- Once a funding source got the message through to the Backrub boys that they had to monetize, the company obtained inspiration from the Yahoo pay to play model which Yahoo acquired from Overture.com, formerly GoTo.com. That pay to play thing produces lots of money when there is traffic. Google was getting traffic.
- Regulators ignored Google’s slow but steady march to information dominance. In fact, some regulatory professionals with whom I spoke thought Google was the cat’s pajamas and asked me if I could get them Google T shirts for their kids. Google was not evil; it was fund; it was success.
- Almost the entire world’s intelligence professionals relay on Google for OSINT. If you don’t know what that means, forget the term. Knowing the control Google can exert by filtering information on a topic will probably give you a tummy ache.
The future is going to look exactly like the world of online in the year 1980. Google and maybe a couple of smaller also rans will control access to digital information. To get advertising free and to have a shot at bias free answers to online queries, users will have to pay. The currency will be watching advertising or subscribing to a premium service. The business model of Dialog Information Services, SDC, DataStar, and Dialcom is coming back. The prices will inflate. Control of information will be easy. And shaping or weaponizing content flow from these next generation online services will be too profitable to resist. Learn to love Google. It is more powerful than a single country’s government. If a country gets too frisky for Google’s liking, the company has ways to evade issues that make it uncomfortable.
The cartoon in this blog post summarizes my view of the situation. A fix will take a long time. I will be pushing up petunias before the problems of online search and the Information Superhighway are remediated.
Stephen E Arnold, August 1, 2024
Which Outfit Will Win? The Google or Some Bunch of Busy Bodies
July 30, 2024
This essay is the work of a dumb humanoid. No smart software required.
It may not be the shoot out at the OK Corral, but the dust up is likely to be a fan favorite. It is possible that some crypto outfit will find a way to issue an NFT and host pay-per-view broadcasts of the committee meetings, lawyer news conferences, and pundits recycling press releases. On the other hand, maybe the shoot out is a Hollywood deal. Everyone knows who is going to win before the real action begins.
“Third Party Cookies Have Got to Go” reports:
After reading Google’s announcement that they no longer plan to deprecate third-party cookies, we wanted to make our position clear. We have updated our TAG finding Third-party cookies must be removed to spell out our concerns.
A great debate is underway. Who or what wins? Experience suggests that money has an advantage in this type of disagreement. Thanks, MSFT. Good enough.
Who is making this draconian statement? A government regulator? A big-time legal eagle representing an NGO? Someone running for president of the United States? A member of the CCP? Nope, the World Wide Web Consortium or W3C. This group was set up by Tim Berners-Lee, who wanted to find and link documents at CERN. The outfit wants to cook up Web standards, much to the delight of online advertising interests and certain organizations monitoring Web traffic. Rules allow crafting ways to circumvent their intent and enable the magical world of the modern Internet. How is that working out? I thought the big technology companies set standards like no “soft 404s” or “sorry, Chrome created a problem. We are really, really sorry.”
The write up continues:
We aren’t the only ones who are worried. The updated RFC that defines cookies says that third-party cookies have “inherent privacy issues” and that therefore web “resources cannot rely upon third-party cookies being treated consistently by user agents for the foreseeable future.” We agree. Furthermore, tracking and subsequent data collection and brokerage can support micro-targeting of political messages, which can have a detrimental impact on society, as identified by Privacy International and other organizations. Regulatory authorities, such as the UK’s Information Commissioner’s Office, have also called for the blocking of third-party cookies.
I understand, but the Google seems to be doing one of those “let’s just dump this loser” moves. Revenue is more important than the silly privacy thing. Users who want privacy should take control of their technology.
The W3C points out:
The unfortunate climb-down will also have secondary effects, as it is likely to delay cross-browser work on effective alternatives to third-party cookies. We fear it will have an overall detrimental impact on the cause of improving privacy on the web. We sincerely hope that Google reverses this decision and re-commits to a path towards removal of third-party cookies.
Now the big question: “Who is going to win this shoot out?”
Normal folks might compromise or test a number of options to determine which makes the most sense at a particularly interesting point in time. There is post-Covid weirdness, the threat of escalating armed conflict in what six, 27, or 95 countries, and financial brittleness. That anti-fragile handwaving is not getting much traction in my opinion.
At one end of the corral are the sleek, technology wizards. These norm core folks have phasers, AI, and money. At the other end of the corral are the opponents who look like a random selection of Café de Paris customers. Place you bets.
Stephen E Arnold, July 30, 2024
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