The Future: Humans in Lawn Chairs. Robots Do the Sports Thing

May 8, 2025

Can a fast robot outrun a fast human? Not yet, apparently. MSN’s Interesting Engineering reports, “Humanoid ‘Tiangong Ultra’ Dons Winning Boot in World’s First Human Vs Robot Marathon.” In what appears to be the first event of its kind, a recent 13-mile marathon pitted robots and humans against each other in Beijing. Writer Christopher McFadden reports:

“Around 21 humanoid robots officially competed alongside human marathoners in a 13-mile (21 km) endurance race in Beijing on Saturday, April 19th. According to reports, this is the first time such an event has been held. Competitor robots varied in size, with some as short as 3 feet 9 inches (1.19 m) and others as tall as 5 feet 9 inches (1.8 m). Wheeled robots were officially banned from the race, necessitating that any entrants be able to walk or run similarly to humans.”

The winner was one of the tallest at 5 feet 9 inches and weighed 114 pounds. It took Tiangong Ultra two hours and forty minutes to complete the course. Despite its impressive performance, it lagged considerably behind the first-place human who finished at one hour and two minutes. The robots’ lane of the course was designed to test the machines’ capabilities, mixing inclines and both left and right turns with flat stretches.

See the article for a short video of the race. Most of it features the winner, but there is a brief shot of one smaller, cuter robot. The article continues:

“According to the robot’s creator, Tang Jian, who is also the chief technology officer behind the Beijing Innovation Centre of Human Robotics, the robot’s long legs and onboard software both aided it in its impressive feat. … Jian added that the robot’s battery needed to be changed only three times during the race. As for other robot entrants, many didn’t perform as well. In particular, one robot fell at the starting line and lay on the ground for a few minutes before getting up and joining the race. Yet another crashed into a railing, causing its human operator to fall over.”

Oops. Sadly, those incidents do not appear in the video. The future is clear: Wizards will sit in lawn chairs and watch their robots play sports. I wonder if  my robot will go to the gym and exercise for me?

Cynthia Murrell, May 8, 2025

Knowledge Management: Hog Wash or Lipstick on a Pig?

May 8, 2025

dino orangeNo AI. Just a dinobaby who gets revved up with buzzwords and baloney.

I no longer work at a blue chip consulting company. Heck, I no longer work anywhere. Years ago, I bailed out to work for a company in fly-over country. The zoom-zoom life of the big city tuckered me out. I know, however, when a consulting pitch is released to the world. I spotted one of these “pay us and we will save you” approaches today (April 25, 2025, 5 42 am US Eastern time).

image

How pretty can the farmer make these pigs? Thanks, OpenAI, good enough, and I know you have no clue about the preparation for a Poland China at a state fair. It does not look like this.

How Knowledge Mismanagement is Costing Your Company Millions” is an argument presented to spark the sale of professional services. What’s interesting is that instead of beating the big AI/ML (artificial intelligence and machine learning drum set), the authors from an outfit called Bloomfire made “knowledge management” the pointy end of the spear. I was never sure what knowledge management. One of my colleagues did a lot of knowledge management work, but it looked to me like creating an inventory of content, a directory of who in the organization was a go-to source for certain information, and enterprise search.

This marketing essay asserts:

Executives are laser-focused on optimizing their most valuable assets – people, intellectual property, and proprietary technology. But many overlook one asset that has the power to drive revenue, productivity, and innovation: enterprise knowledge.

To me, the idea that one can place a value on knowledge is an important process. My own views of what is called “knowledge value” have been shaped by the work of Taichi Sakaya. This book was published 40 years ago, and it is a useful analysis of how to make money from knowing “stuff”.

This essay makes the argument that an organization that does not know how to get its information act together will not extract the appropriate value from its information. I learned:

Many organizations regard knowledge as an afterthought rather than a business asset that drives financial performance. Knowledge often remains unaccounted for on balance sheets, hidden in siloed systems, and mismanaged to the point of becoming a liability. Redundant, trivial, conflicting, and outdated information can cloud decision making that fails to deliver key results.

The only problem is that “knowledge” loses value when it moves to a system or an individual where it should not be. Let me offer three examples of the fallacy of silo breaking, financial systems, and “mismanaged” paper or digital information.

  1. A government contract labeled secret by the agency hiring the commercial enterprise. Forget the sharing. Locking up the “information” is essential for protecting national security and for getting paid. The knowledge management is that only authorized personnel know their part of a project. Sharing is not acceptable.
  2. Financial data, particularly numbers and information about a legal matter or acquisition/divestiture is definitely high value information. The organization should know that talking or leaking these data will result in problems, some little, some medium, and some big time.
  3. Mismanaged information is a very bad and probably high risk thing. Organizations simply do not have the management bandwidth to establish specific guidelines for data acquisition, manipulation, storage and deletion, access controls that work, and computer expertise to use dumb and smart software to keep those data ponies and information critters under control. The reasons are many and range from accountants who are CEOs to activist investor sock puppets, available money and people, and understanding exactly what has to be done to button up an operation.

Not surprisingly, coming up with a phrase like “enterprise intelligence” may sell some consulting work, but the reality of the datasphere is that whatever an organization does in an engagement running several months or a year will not be permanent. The information system in an organization any size is unstable. How does one make knowledge value from an inherently volatile information environment. Predicting the weather is difficult. Predicting the data ecosystem in an organization is the reason knowledge management as a discipline never went anywhere. Whether it was Harvey Poppel’s paperless office in the 1970s or the wackiness of the system which built a database of people so one could search by what each employee knew, the knowledge management solutions had one winning characteristic: The consultants made money until they didn’t.

The “winners” in knowledge management are big fuzzy outfits; for example, IBM, Microsoft, Oracle, and a few others. Are these companies into knowledge management? I would say, “Sure because no one knows exactly what it means. When the cost of getting digital information under control is presented, the thirst for knowledge management decreases just a tad. Well, maybe I should say, “Craters.”

None of these outfits “solve” the problem of knowledge management. They sell software and services. Despite the technology available today, a Microsoft Azure SharePoint and custom Web page system leaked secure knowledge from the Israeli military. I would agree that this is indeed knowledge mismanagement, but the problem is related to system complexity, poor staff training, and the security posture of the vendor, which in this case is Microsoft.

The essay concludes with this statement in the form of a question:

The question is: Where does your company’s knowledge fall on the balance sheet?

Will the sales pitch work? Will CEOs ask, “Where is my company’s knowledge value?” Probably. The essay throws around a lot of numbers. It evokes uncertainty, risk, and may fear. It has some clever jargon like knowledge mismanagement.

Net net: Well done. Suitable for praise from a business school faculty member. Is knowledge mismanagement going to delivery knowledge value? Unlikely. Is knowledge (managed or mismanaged) hog wash? It depends on one’s experience with Poland Chinas. Is knowledge (managed or mismanaged lipstick on a pig)? Again it depends on one’s sense of what’s right for the critters. But the goal is to sell consulting, not clean hogs or pretty up pigs.

Stephen E Arnold, May 8, 2025

US Brain Drain Droplet May Presage a Beefier Outflow

May 8, 2025

dino orange_thumbBelieve it or not, no smart software. Just a dumb and skeptical dinobaby.

When I was working on my PhD at the University of Illinois, I noticed that the number of foreign students on campus seemed to go up each year. One year in the luxurious Florida Avenue Residence Hall, most of the students were from farms. The next year, FAR was a mini-United Nations. I did not pay any attention because I was on my way to an actual “real” job at Halliburton Nuclear in Washington, DC.

I heard the phrase “brain drain” over the years. The idea was that people who wanted to work in technical fields would come to the US, get degrees, and then stay to work in US universities or dolphin-loving, humanity-centric outfits like the nuclear industry. The idea was that the US was a magnet: Good schools, many opportunities to work or start a company.

I am not sure that golden age exists any longer. I read about universities becoming research labs for giant companies. I see podcasts with foaming-at-the-mouth academics complaining about [a] the quality of the students, [b] squabbles between different ideological groups, and [c] the lack of tenure opportunities which once seemed to be a sinecure for life just like the US government’s senior executive service.

Now the world works in ever more mysterious ways. As a confused dinobaby, I read news items (unverified, of course) with headlines like this:

Top US Scientist leaves Department Of Energy To Join Sichuan University Amid Rising China Tensions.

The write up reports a “real” news:

Amid escalating US-China tensions, senior scientist Yi Shouliang, formerly with the US Department of Energy, has left the U.S. to assume a new academic role at Sichuan University in China…. Shouliang served as a principal scientist and project leader at the DOE’s National Energy Technology Laboratory (NETL), where he focused on the Water-Energy Program.

Let’s assume that this academic who had some business interests just missed his family. No big deal.

But what if a certain “home” country was starting to contact certain people and explaining that their future was back in the good old homeland? Could that country systematically explain the facts of life in a way that made the “home” country look more appealing than a big house in Squirrel Hill?

For a few months, I have been writing “China smart, US dumb” blog posts when I spot some news about how wonderfully bright many young Chinese men and women are.

As a dinobaby, my first thought is that China wants its smart people back in the Middle Kingdom. Hopefully more information about this 2025 brain drain from the US to other countries will become publicly available. Plus, one isolated person going against the “You can’t go home again” idea means nothing. Or does it mean something is afoot?

PS. No, I never went back to Chambana to turn in my thesis. I liked working at Halliburton Nuclear more than I liked indexing poetry for the now departed Dr. William Gillis. Sorry, Dr. Gillis, the truth is now out.

Stephen E Arnold, May 8, 2025

IBM: Making the Mainframe Cool Again

May 7, 2025

dino-orange_thumb_thumb_thumbNo AI, just the dinobaby expressing his opinions to Zellenials.

I a ZDNet Tech Today article titled “IBM Introduces a Mainframe for AI: The LinuxONE Emperor 5.” Years ago, I had three IBM PC 704s, each with the eight drive SCSI chassis and that wonderful ServeRAID software. I suppose I should tell you, I want a LinuxONE Emperor 5 because the capitalization reminds me of the IBM ServeRAID software. Imagine. A mainframe for artificial intelligence. No wonder that IBM stock looks like a winner in 2025.

The write up says:

IBM’s latest mainframe, the LinuxONE Emperor 5, is not your grandpa’s mainframe

The CPU for this puppy is the IBM Telum II processor. The chip is a seven nanometer item announced in 2021. If you want some information about this, navigate to “IBM’s Newest Chip Is More Than Meets the AI.”

The ZDNet write up says:

Manufactured using Samsung’s 5 nm process technology, Telum II features eight high-performance cores running at 5.5GHz, a 40% increase in on-chip cache capacity (with virtual L3 and L4 caches expanded to 360MB and 2.88GB, respectively), and a dedicated, next-generation on-chip AI accelerator capable of up to 24 trillion operations per second (TOPS) — four times the compute power of its predecessor. The new mainframe also supports the IBM Spyre Accelerator for AI users who want the most power.

The ZDNet write up delivers a bumper crop of IBM buzzwords about security, but there is one question that crossed my mind, “What makes this a mainframe?”

The answer, in my opinion, is IBM marketing. The Emperor should be able to run legacy IBM mainframe applications. However, before placing an order, a customer may want to consider:

  1. Snapping these machines into a modern cloud or hybrid environment might take a bit of work. Never fear, however, IBM consulting can help with this task.
  2. The reliance on the Telum CPU to do AI might put the system at a performance disadvantage from solutions like the Nvidia approach
  3. The security pitch is accurate providing the system is properly configured and set up. Once again, IBM provides the for fee services necessary to allow Z-llenial IT professional to sleep easy on weekends.
  4. Mainframes in the cloud are time sharing oriented; making these work in a hybrid environment can be an interesting technical challenge. Remember: IBM consulting and engineering services can smooth the bumps in the road.

Net net: Interesting system, surprising marketing, and definitely something that will catch a bean counter’s eye.

Stephen E Arnold,  May 7, 2025

Microsoft Explains that Its AI Leads to Smart Software Capacity Gap Closing

May 7, 2025

dino orange_thumb_thumb_thumbNo AI, just a dinobaby watching the world respond to the tech bros.

I read a content marketing write up with two interesting features: [1] New jargon about smart software and [2] a direct response to Google’s increasingly urgent suggestions that Googzilla has won the AI war. The article appears in Venture Beat with the title “Microsoft Just Launched Powerful AI ‘Agents’ That Could Completely Transform Your Workday — And Challenge Google’s Workplace Dominance.” The title suggests that Google is the leader in smart software in the lucrative enterprise market. But isn’t Microsoft’s “flavor” of smart software in products from the much-loved Teams to the lowly Notepad application? Isn’t Word like Excel at the top of the heap when it comes to usage in the enterprise?

I will ignore these questions and focus on the lingo in the article. It is different and illustrates what college graduates with a B.A. in modern fiction can craft when assisted by a sprinkling of social science majors and a former journalist or two.

Here are the terms I circled:

product name: Microsoft 365 Copilot Wave 2 Spring release (wow, snappy)

integral collaborator (another bound phrase which means agent)

intelligence abundance (something everyone is talking about)

frontier firm (forward leaning synonym)

‘human-led, agent-operated’ workplaces (yes, humans lead; they are not completely eliminated)

agent store (yes, another online store. You buy agents; you don’t buy people)

browser for AI

brand-compliant images

capacity gap (I have no idea what this represents)

agent boss (Is this a Copilot thing?)

work charts (not images, plans I think)

Copilot control system (Is this the agent boss thing?)

So what does the write up say? In my dinobaby mind, the answer is, “Everything a member of leadership could want: Fewer employees, more productivity from those who remain on the payroll, software middle managers who don’t complain or demand emotional support from their bosses, and a narrowing of the capacity gap (whatever that is).

The question is, “Can either Google, Microsoft, or OpenAI deliver this type of grand vision?” Answer: Probably the vision can be explained and made magnetic via marketing, PR, and language weaponization, but the current AI technology still has a couple of hurdles to get over without tearing the competitors’ gym shorts:

  1. Hallucinations and making stuff up
  2. Copyright issues related to training and slapping the circle C, trademarks, and patents on outputs from these agent bosses and robot workers
  3. Working without creating a larger attack surface for bad actors armed with AI to exploit (Remember, security, not AI, is supposed to be Job No. 1 at Microsoft. You remember that, right? Right?)
  4. Killing dolphins, bleaching coral, and choking humans on power plant outputs
  5. Getting the billions pumped into smart software back in the form of sustainable and growing revenues. (Yes, there is a Santa Claus too.)

Net net: Wow. Your turn Google. Tell us you have won, cured disease, and crushed another game player. Oh, you will have to use another word for “dominance.” Tip: Let OpenAI suggest some synonyms.

Stephen E Arnold, May 7, 2025

Thorium News: Downplaying or Not Understanding a Key Fact

May 7, 2025

dino orange_thumb_thumb_thumbNo AI. Just a dinobaby who gets revved up with buzzwords and baloney.

My first real job, which caused me to drop out of my PhD program at the University of Illinois, was with a nuclear consulting and services firm. The company was in the midst of becoming part of Halliburton. I figured a PhD in medieval literature might be less financially valuable to me than working in Washington, DC, for the nuke outfit. When I was introduced at a company meeting, my boss, James K. Rice explained that I was working on a PhD in poetry. Dr. James Terwilliger, a nuclear engineer shouted out, “I never read a poem.” Big laugh. Terwilliger and I became fast friends.

At that time in the early 1970s, there was one country that was the pointy end of the stick in things nuclear. That was the United States. Some at the company like Dominique Dorée would have argued that France was right next to the USA crowd, and she would have been mostly correct. Russia was a player. So was China. But the consensus view was that USA was number one. When I worked for a time for Congressman Craig Hosmer (R-Cal., USN admiral ret.), he made it quite clear that America’s nuclear industry was and would be on his watch the world leader in nuclear research, applications, and engineering.

I read an article in the prestigious online publication Popular Mechanics which appears to be trapped in that 1970s’ mind set. The publication’s write up “A Thorium Reactor in the Middle of the Desert Has Rewritten the Rules of Nuclear Power” does a good job of running through the details and benefits of a thorium-based nuclear reactor. Think molten salt instead the engineering problem child water to cool these systems.

But the key point in the write up was buried. I want to highlight what I think is the most important item in the article. Here it is:

Though China may currently be the world leader in molten salt reactors, the U.S. is catching up.

Several observations:

  1. Quite a change in the 60 plus years between Terwilliger’s comment about poetry and China’s leadership in thorium systems
  2. Admiral Craig Hosmer would not be happy were he still alive and playing a key role in supporting nuclear research and engineering as the head of the Joint Committee on Atomic Energy. (An unhappy Admiral is not a fun admiral I want to point out.)
  3. The statement about China’s lead in this technical space suggests that fast and decisive action is needed to train young, talented people with the engineering, mathematical, and other technical skills required to innovate in nuclear technology.

Popular Mechanics buried the real story, summarizing some features of thorium reactors. Was that from a sense of embarrassment or a failure to recognize what the real high impact part of the write up was?

Action is needed, not an inability to recognize a fact with high knowledge value. Less doom scrolling and more old fashioned learning. That reactor is not in a US desert; it is operating in a Chinese desert. That’s important in my opinion.

Stephen E Arnold, May 7, 2025

Ask Siri: How Does Apple Avoid a Tariff Catastrophe

May 7, 2025

Visualize Tim Apple. He asks Siri, “Siri, how do I guarantee Apple’s dominance in the mobile device sector?”

Siri answers, “Just ignore reality.”

The only problem is that Siri is one example of Apple’s outstanding technology, management decision making, and financial wizardry. Too bad the outputs are incorrect.

Let’s look at one good example:

Apple’s immense success is underpinned by the global supply chain it has spent decades cultivating. Now, President Trump may have turned that asset into a liability with the stroke of a pen. The BBC explains, “Designed in US, Made in China: Why Apple is Stuck.” Though the president backtracked a bit and exempted smartphones and computers from the tariffs, those final products are just the last step of Apple’s production infrastructure. Reporter Annabelle Liang writes:

“While the sleek rectangle that runs many of our lives is indeed designed in the United States, it is likely to have come to life thousands of miles away in China: the country hit hardest by US President Donald Trump’s tariffs, now rising to 245% on some Chinese imports. Apple sells more than 220 million iPhones a year and by most estimates, nine in 10 are made in China. From the glossy screens to the battery packs, it’s here that many of the components in an Apple product are made, sourced and assembled into iPhones, iPads or Macbooks. Most are shipped to the US, Apple’s largest market. Luckily for the firm, Trump suddenly exempted smartphones, computers and some other electronic devices from his tariffs last week. But the comfort is short-lived. The president has since suggested that more tariffs are coming: ‘NOBODY is getting ‘off the hook’,’ he wrote on Truth Social, as his administration investigated ‘semiconductors and the WHOLE ELECTRONICS SUPPLY CHAIN’.”

Such as stable genius. Meanwhile, Apple is vulnerable to competition from Chinese firms that benefit from the infrastructure Apple fostered. We learn:

“‘Now that ‘Apple has cultivated China’s electronic manufacturing capabilities, Huawei, Xiaomi, Oppo and others can reuse Apple’s mature supply chain,’ according to Mr. Lin. Last year, Apple lost its place as China’s biggest smartphone seller to Huawei and Vivo.”

Way to kick a billionaire when he is down. It seems Tim Cook may now face Apple sauce, not Apple success. Did he not kiss the ring sufficiently? The firm now plans to invest $500 billion in the US, but we doubt even that sum will relocate much of Apple’s entrenched network to these shores. Or do much to placate the tariffer-in-chief. I want to write about ignoring the court decision regarding its online store. That’s another example of Ask Siri wisdom.

Cynthia Murrell, May 7, 2025

Google Versus OpenAI: Whose Fish Is Bigger?

May 6, 2025

dino orange_thumb_thumb_thumb_thumb_thumbNo AI, just a dinobaby watching the world respond to the tech bros.

Bing Crosby quipped on one of his long-ago radio shows, “We are talking about fish here” when asked about being pulled to shore by a salmon he caught. I think about the Bingster when I come across “user” numbers for different smart software systems. “Google Reveals Sky High Gemini Usage Numbers in Antitrust Case” provides some perjury proof data that it is definitely number two in smart software.

According to the write up:

The [Google] slide listed Gemini’s 350 million monthly users, along with daily traffic of 35 million users.

Okay, we have some numbers.

The write up provides a comparative set of data; to wit:

OpenAI has also seen traffic increase, putting ChatGPT around 600 million monthly active users, according to Google’s analysis. Early this year, reports pegged ChatGPT usage at around 400 million users per month.

Where’s Microsoft in this count? Yeah, who knows? MSFT just pounds home that it is winning in the enterprise. Okay, I understand.

What’s interesting about these data or lack of it has several facets:

  1. For Google, the “we’re number two” angle makes clear that its monopoly in online advertising has not transferred to becoming automatically number one in AI
  2. The data from Google are difficult to verify, but everyone trusts the Google
  3. The data from OpenAI are difficult to verify, but everyone trusts Sam AI-Man.

Where are we in the AI game?

At the mercy of unverifiable numbers and marketing type assertions.

What about Deepseek which may be banned by some of the folks in Washington, DC? What about everyone’s favorite litigant Meta / Facebook?

Net net: AI is everywhere so what’s the big deal? Let’s get used to marketing because those wonderful large language models still have a bit of problem with hallucinations, not to mention security issues and copyright hassles. I won’t mention cost because the data make clear that the billions pumped into smart software have not generated a return yet. Someday perhaps?

Stephen E Arnold, May 6, 2025

China Tough. US Weak: A Variation of the China Smart. US Dumb Campaign

May 6, 2025

dino orange_thumbNo AI. This old dinobaby just plods along, delighted he is old and this craziness will soon be left behind. What about you?

Even members of my own team thing I am confusing information about China’s technology with my dinobaby peculiarities. That may be. Nevertheless, I want to document the story “The Ancient Chinese General Whose Calm During Surgery Is Still Told of Today.” I know it is. I just read a modern retelling of the tale in the South China Morning Post. (Hey. Where did that paywall go?)

The basic idea is that a Chinese leader (tough by genetics and mental discipline) had dinner with some colleagues. A physician showed up and told the general, “You have poison in your arm bone.”

The leader allegedly told the physician,

“No big deal. Do the surgery here at the dinner table.”

The leader let the doc chop open his arm, remove the diseased area, and stitched the leader up. Now here’s the item in the write up I find interesting because it makes clear [a] the leader’s indifference to his colleagues who might find this surgical procedure an appetite killer and [b] the flawed collection of blood which seeped after the incision was made. Keep in mind that the leader did not need any soporific, and the leader continued to chit chat with his colleagues. I assume the leader’s anecdotes and social skills kept his guests mesmerized.

Here’s the detail from the China Tough. US Weak write up:

“Guan Yu [the tough leader] calmly extended his arm for the doctor to proceed. At the time, he was sitting with fellow generals, eating and drinking together. As the doctor cut into his arm, blood flowed profusely, overflowing the basin meant to catch it. Yet Guan Yu continued to eat meat, drink wine, and chat and laugh as if nothing was happening.”

Yep, blood flowed profusely. Just the extra that sets one meal apart from another. The closest approximation in my experience was arriving at a fast food restaurant after a shooting. Quite a mess and the odor did not make me think of a cheeseburger with ketchup.

I expect that members of my team will complain about this blog post. That’s okay. I am a dinobaby, but I think this variation on the China Smart. US Dumb information flow is interesting. Okay, anyone want to pop over for fried squirrel. We can skin, gut, and fry them at one go. My mouth is watering at the thought. If we are lucky, one of the group will have bagged a deer. Now that’s an opportunity to add some of that hoist, skin, cut, and grill to the evening meal. Guan Yu, the tough Chinese leader, would definitely get with the kitchen work.

Stephen E Arnold, May 6, 2025

AI Chatbots Now Learning Russian Propaganda

May 6, 2025

Gee, who would have guessed? Forbes reports, “Russian Propaganda Has Now Infected Western AI Chatbots—New Study.” Contributor Tor Constantino cites a recent NewsGuard report as he writes:

“A Moscow-based disinformation network known as ‘Pravda’ — the Russian word for ‘truth’ — has been flooding search results and web crawlers with pro-Kremlin falsehoods, causing AI systems to regurgitate misleading narratives. The Pravda network, which published 3.6 million articles in 2024 alone, is leveraging artificial intelligence to amplify Moscow’s influence at an unprecedented scale. The audit revealed that 10 leading AI chatbots repeated false narratives pushed by Pravda 33% of the time. Shockingly, seven of these chatbots directly cited Pravda sites as legitimate sources. In an email exchange, NewsGuard analyst Isis Blachez wrote that the study does not ‘name names’ of the AI systems most susceptible to the falsehood flow but acknowledged that the threat is widespread.”

Blachez believes a shift is underway from Russian operatives directly targeting readers to manipulation of AI models. Much more efficient. And sneaky. We learn:

“One of the most alarming practices uncovered is what NewsGuard refers to as ‘LLM grooming.’ This tactic is described as the deliberate deception of datasets that AI models — such as ChatGPT, Claude, Gemini, Grok 3, Perplexity and others — train on by flooding them with disinformation. Blachez noted that this propaganda pile-on is designed to bias AI outputs to align with pro-Russian perspectives. Pravda’s approach is methodical, relying on a sprawling network of 150 websites publishing in dozens of languages across 49 countries.”

AI firms can try to block propaganda sites from their models’ curriculum, but the operation is so large and elaborate it may be impossible. And also, how would they know if they had managed to do so? Nevertheless, Blachez encourages them to try. Otherwise, tech firms are destined to become conduits for the Kremlin’s agenda, she warns.

Of course, the rest of us have a responsibility here as well. We can and should double check information served up by AI. NewsGuard suggests its own Misinformation Fingerprints, a catalog of provably false claims it has found online. Or here is an idea: maybe do not turn to AI for information in the first place. After all, the tools are notoriously unreliable. And that is before Russian operatives get involved.

Cynthia Murrell, May 6, 2025

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