Agentic Workflows and the Dust Up Between Microsoft and Salesforce
January 14, 2025
Prepared by a still-alive dinobaby.
The Register, a UK online publication, does a good job of presenting newsworthy events with a touch of humor. Today I spotted a new type of information in the form of an explainer plus management analysis. Plus the lingo and organization suggest a human did all or most of the work required to crank out a very good article called “In AI Agent Push, Microsoft Re-Orgs to Create CoreAI – Platform and Tools Team.”
I want to highlight the explainer part of the article. The focus is on the notion of agentic; specifically:
agentic applications with memory, entitlements, and action space that will inherit powerful model capabilities. And we will adapt these capabilities for enhanced performance and safety across roles, business processes, and industry domains. Further, how we build, deploy, and maintain code for these AI applications is also fundamentally changing and becoming agentic.
These words are attributed to Microsoft’s top dog Satya Nadella, but they sound as if one of the highly paid wordsmiths laboring for the capable Softies. Nevertheless, the idea is important. In order to achieve the agentic pinnacle, Microsoft has to reorganize. Whoever can figure out how to make agentic applications work across different vendors’ solutions will be able to make money. That’s the basic idea: Smart software is going to create a new big thing for enterprise software and probably some consumers.
The write up explains:
It’s arguably just plain old software talking to plain old software, which would be nothing new. The new angle here, though, is that it’s driven mainly by, shall we say, imaginative neural networks and models making decisions, rather than algorithms following entirely deterministic routes. Which is still software working with software. Nadella thinks building artificially intelligent agentic apps and workflows needs “a new AI-first app stack — one with new UI/UX patterns, runtimes to build with agents, orchestrate multiple agents, and a reimagined management and observability layer.”
To win the land in this new territory, Microsoft must have a Core AI team. Google and Salesforce presumably have this type of set up. Microsoft has to step up its AI efforts. The Register points out:
Nadella noted that “our internal organizational boundaries are meaningless to both our customers and to our competitors”. That’s an odd observation given Microsoft published his letter, which concludes with this observation: “Our success in this next phase will be determined by having the best AI platform, tools, and infrastructure. We have a lot of work to do and a tremendous opportunity ahead, and together, I’m looking forward to building what comes next.”
Here’s what I found interesting:
- Agentic is the next big thing in smart software. Essentially smart software that does one thing is useful. Orchestrating agents to do a complex process is the future. The software decides. Everything works well — at least, that’s the assumption.
- Microsoft, like Google, is now in a Code Yellow or Code Red mode. The company feels the heat from Salesforce. My hunch is that Microsoft knows that add ins like Ghostwriter for Microsoft Office is more useful than Microsoft’s own Copilot for many users. If the same boiled fish appears on the enterprise menu, Microsoft is in a world of hurt from Salesforce and probably a lot of other outfits.
- The re-org parallels the disorder that surfaced at Google when it fixed up its smart software operation or tried to deal with the clash of the wizards in that estimable company. Pushing boxes around on an organization chart is honorable work, but that management method may not deliver the agentic integration some people want.
The conclusion I drew from The Register’s article is that the big AI push and the big players’ need to pop up a conceptual level in smart software is perceived as urgent. Costs? No problem. Hallucination? No problem. Hardware availability? No problem. Software? No problem. A re-organization is obvious and easy. No problem.
Stephen E Arnold, January 14, 2025
More about NAMER, the Bitext Smart Entity Technology
January 14, 2025
A dinobaby product! We used some smart software to fix up the grammar. The system mostly worked. Surprised? We were.
We spotted more information about the Madrid, Spain based Bitext technology firm. The company posted “Integrating Bitext NAMER with LLMs” in late December 2024. At about the same time, government authorities arrested a person known as “Broken Tooth.” In 2021, an alert for this individual was posted. His “real” name is Wan Kuok-koi, and he has been in an out of trouble for a number of years. He is alleged to be part of a criminal organization and active in a number of illegal behaviors; for example, money laundering and human trafficking. The online service Irrawady reported that Broken Tooth is “the face of Chinese investment in Myanmar.”
Broken Tooth (né Wan Kuok-koi, born in Macau) is one example of the importance of identifying entity names and relating them to individuals and the organizations with which they are affiliated. A failure to identify entities correctly can mean the difference between resolving an alleged criminal activity and a get-out-of-jail-free card. This is the specific problem that Bitext’s NAMER system addresses. Bitext says that large language models are designed for for text generation, not entity classification. Furthermore, LLMs pose some cost and computational demands which can pose problems to some organizations working within tight budget constraints. Plus, processing certain data in a cloud increases privacy and security risks.
Bitext’s solution provides an alternative way to achieve fine-grained entity identification, extraction, and tagging. Bitext’s solution combines classical natural language processing solutions solutions with large language models. Classical NLP tools, often deployable locally, complement LLMs to enhance NER performance.
NAMER excels at:
- Identifying generic names and classifying them as people, places, or organizations.
- Resolving aliases and pseudonyms.
- Differentiating similar names tied to unrelated entities.
Bitext supports over 20 languages, with additional options available on request. How does the hybrid approach function? There are two effective integration methods for Bitext NAMER with LLMs like GPT or Llama are. The first is pre-processing input. This means that entities are annotated before passing the text to the LLM, ideal for connecting entities to knowledge graphs in large systems. The second is to configure the LLM to call NAMER dynamically.
The output of the Bitext system can generate tagged entity lists and metadata for content libraries or dictionary applications. The NAMER output can integrate directly into existing controlled vocabularies, indexes, or knowledge graphs. Also, NAMER makes it possible to maintain separate files of entities for on-demand access by analysts, investigators, or other text analytics software.
By grouping name variants, Bitext NAMER streamlines search queries, enhancing document retrieval and linking entities to knowledge graphs. This creates a tailored “semantic layer” that enriches organizational systems with precision and efficiency.
For more information about the unique NAMER system, contact Bitext via the firm’s Web site at www.bitext.com.
Stephen E Arnold, January 14, 2025
Apple and Some Withering Fruit: Is the Orchard on Fire?
January 14, 2025
A dinobaby-crafted post. I confess. I used smart software to create the heart wrenching scene of a farmer facing a tough 2025.
Apple is a technology giant, a star in the universe of bytes. At the starter’s gun for 2025, Apple may have some work to do. For example, I read “Apple’s China Troubles Mount as Foreign Phone Sales Sink for 4th Month.” (For now, this is a trust outfit story, but a few months down the road the information may originate from the “real” news powerhouse Gannet. Imagine that.) The “trusted” outfit Reuters stated:
Apple, the dominant foreign smartphone maker in China, faces a slowing economy and competition from domestic rivals, such as Huawei…. Apple briefly fell out of China’s top five smartphone vendors in the second quarter of 2024 before recovering in the third quarter. The U.S. company’s smartphone sales in China still slipped 0.3% during the third quarter from a year earlier, while Huawei’s sales rose 42%, according to research firm IDC.
I think this means that Apple is losing share in what may have been a very juicy market. Can it get this fertile revenue field producing in-demand Fuji Apples to market? With a new US administration coming down the information highway, it is possible that the iPhone’s pop up fruit stand could be blown off the side of the main road.
An apple farmer grasps the problem fruit blight poses. Thanks, You.com you produced okay fruit blight when ChatGPT told me that an orchard with fruit blight was against is guidelines. Helpful, right?
Another issue Apple faces in a different orchard regards privacy. “Apple to Pay $95 Million to Settle Siri Privacy Lawsuit” reports:
Apple agreed to pay $95 million in cash to settle a proposed class action lawsuit claiming that its voice-activated Siri assistant violated users’ privacy…. Mobile device owners complained that Apple routinely recorded their private conversations after they activated Siri unintentionally, and disclosed these conversations to third parties such as advertisers.
Yeah, what about those privacy protections? What about those endless “Log in to your Facetime” when our devices don’t use Facetime. Hey, that is just Apple being so darned concerned about privacy. Will Apple pay or will it appeal? I won’t trouble you with my answer. Legal eagles love these fertile fields.
I don’t want to overlook the Apple AI. Yahoo recycled a story from Digital Intelligence called “The Good and Bad of Apple Intelligence after Using It on My iPhone for Months.” The Yahoo version of the story said:
I was excited to check out more Apple Intelligence features when I got the iOS 18.2 update on my iPhone 16 Pro. But aside from what I’ve already mentioned, the rest isn’t as exciting. I already hate AI art in general, so I wasn’t too thrilled about Image Playground. However, since it’s a new feature, I had to try it at least once. I tried to get Apple Intelligence to generate an AI image of me, in various scenarios, to perhaps share on social media. But every result I got did not look good to me, and I felt it had no actual resemblance to my image. It kept giving me odd-looking teeth in my smiles, hair that looked nothing like what I had, and other imperfections. I wasn’t expecting a perfect picture, but I was hoping I would get something that would be decent enough to share online — dozens of tries, and I wasn’t happy with any of them. I suppose my appearance doesn’t work with Apple’s AI art style? Whatever the reason is, my experience with it hasn’t been positive.
Yep, bad teeth. Perhaps the person has eaten too many apples?
Looking at these three allegedly accurate news stories what do I hypothesize about Apple in 2025:
- Apple will become increasingly desperate to generate revenue. Let’s face it the multi-thousand dollar Vision Pro headset and virtual Apple TV may fill the Chinese iPhone sales hole.
- Apple simply does what it wants to do with regard to privacy. From automatic iPhone reboots to smarmy talk about accidentally sucking down user data, the company cannot be trusted in 2025 in my opinion.
- Apple’s innovation is stalled. One of my colleagues told me Apple rolled out two dozen “new” products in 2025. I must confess that I cannot name one of them. The fruitarian seemed to be able to get my attention with “one more thing.” Today’s Apple has some discoloration.
Net net: The orchard needs a more skilled agrarian, fertilizer, and some luck with the business climate. Failing that, another bad crop may be ahead.
Stephen E Arnold, January 14, 2025
Some AI Wisdom: Is There a T Shirt?
January 14, 2025
Prepared by a still-alive dinobaby.
I was catching up with newsfeeds and busy filtering the human output from the smart software spam-arator. I spotted “The Serious Science of Trolling LLMs,” published in the summer of 2024. The article explains that value can be derived from testing large language models like ChatGPT, Gemini, and others with prompts to force the software to generate something really stupid, off base, incorrect, or goofy. I zipped through the write up and found it interesting. Then I came upon this passage:
the LLM business is to some extent predicated on deception; we are not supposed to know where the magic ends and where cheap tricks begin. The vendors’ hope is that with time, we will reach full human-LLM parity; and until then, it’s OK to fudge it a bit. From this perspective, the viral examples that make it patently clear that the models don’t reason like humans are not just PR annoyances; they are a threat to product strategy.
Several observations:
- Progress from my point of view with smart software seems to have slowed. The reason may be that free and low cost services cannot affords to provide the functionality they did before someone figured out the cost per query. The bean counters spoke and “quality” went out the window.
- The gap between what the marketers say and what the systems do is getting wider. Sorry, AI wizards, the systems typically fail to produce an output satisfactory for my purposes on the first try. Multiple prompts are required. Again a cost cutting move in my opinion.
- Made up information or dead wrong information is becoming more evident. My hunch is that the consequence of ingesting content produced by AI is degrading the value of the models originally trained on human generated content. I think this is called garbage in — garbage out.
Net net: Which of the deep pocket people will be the first to step back from smart software built upon systems that consume billions of dollars the way my French bulldog eats doggie treats? The Chinese system Deepseek’s marketing essentially says, “Yo, we built this LLM at a fraction of the cost of the spendthrifts at Google, Microsoft, and OpenAI. Are the Chinese AI wizards dragging a red herring around the AI forest?
To go back to the Lcamtuf essay, “it’s OK to fudge a bit.” Nope, it is mandatory to fudge a lot.
Stephen E Arnold, January 14, 2025
Beating on Quantum: Thump, Clang
January 13, 2025
A dinobaby produced this post. Sorry. No smart software was able to help the 80 year old this time around.
The is it new or is it PR service Benzinga published on January 13, 2025, “Quantum Computing Stocks Tumble after Mark Zuckerberg Backs Nvidia CEO Jensen Huang’s Practical Comments.” I love the “practical.” Quantum computing is similar to the modular home nuclear reactor from my point of view. These are interesting topics to discuss, but when it comes to convincing a home owners’ association to allow the installation of a modular nuclear reactor or squeezing the gizmos required to make quantum computing sort of go in a relatively reliable way, un uh.
Is this a practical point of view? No. The reason is that most people have zero idea of what is required to get a quantum computer or a quantum anything to work. The room for the demonstration is usually a stage set. The cooling, the electronics, and the assorted support equipment is — how shall I phrase it — bulky. That generator outside the quantum lab is not for handling a power outage. The trailer-sized box is pumping volts into the quantum set up.
The write up explains:
comments made by Meta CEO Mark Zuckerberg and Nvidia Corp. CEO Jensen Huang, who both expressed caution regarding the timeline for quantum computing advancements.
Caution. Good word.
The remarks by Zuckerberg and Huang have intensified concerns about the future of quantum computing. Earlier, during Nvidia’s analyst day, Huang expressed optimism about quantum computing’s potential but cautioned that practical applications might take 15 to 30 years to materialize. This outlook has led to a sharp decline in quantum computing stocks. Despite the cautious projections, some industry insiders have countered Huang’s views, arguing that quantum-based innovations are already being integrated into the tech ecosystem. Retail investors have shown optimism, with several quantum computing stocks experiencing significant growth in recent weeks.
I know of a person who lectures about quantum. I have heard that the theme of these presentations is that quantum computing is just around the corner. Okay. Google is quantumly supreme. Intel has its super technology called Horse Ridge or Horse Features. IBM makes quantum squeaks.
I want research to continue, but it is interesting to me that two big technology wizards want to talk about practical quantum computing. One does the social media thing unencumbered by expensive content moderation and the other is pushing smart software enabling technology forward.
Neither wants the quantum hype to supersede the marketing of either of these wizards’ money machines. I love “real news”, particularly when it presents itself as practical. May I suggest you place your order for a D-Wave or an Enron egg nuclear reactor. Practical.
Stephen E Arnold, January 13, 2025
FOGINT: A Shocking Assertion about Israeli Intelligence Before the October 2023 Attack
January 13, 2025
A post from the FOGINT team.
One of my colleagues alerted me to a new story in the Jerusalem Post. The article is “IDF Could’ve Stopped Oct. 7 by Monitoring Hamas’s Telegram, Researchers Say.” The title makes clear that this is an “after action” analysis. Everyone knows that thinking about the whys and wherefores right of bang is a safe exercise. Nevertheless, let’s look at what the Jerusalem Post reported on January 5, 2025.
First, this statement:
“These [Telegram] channels were neither secret nor hidden — they were open and accessible to all.” — Lt.-Col. (res.) Jonathan Dahoah-Halevi
Telegram puts some “silent” barriers to prevent some third parties from downloading in real time active discussions. I know of one Israeli cyber security firm which asserts that it monitors Telegram public channel messages. (I won’t ask the question, “Why didn’t analysts at that firm raise an alarm or contact their former Israeli government employers with that information? Those are questions I will sidestep.)
Second, the article reports:
These channels [public Telegram channels like Military Tactics] were neither secret nor hidden — they were open and accessible to all. The “Military Tactics” Telegram channel even shared professional content showcasing the organization’s level of preparedness and operational capabilities. During the critical hours before the attack, beginning at 12:20 a.m. on October 7, the channel posted a series of detailed messages that should have raised red flags, including: “We say to the Zionist enemy, [the operation] coming your way has never been experienced by anyone,” “There are many, many, many surprises,” “We swear by Allah, we will humiliate you and utterly destroy you,” and “The pure rifles are loaded, and your heads are the target.”
Third, I circled this statement:
However, Dahoah-Halevi further asserted that the warning signs appeared much earlier. As early as September 17, a message from the Al-Qassam Brigades claimed, “Expect a major security event soon.” The following day, on September 18, a direct threat was issued to residents of the Gaza border communities, stating, “Before it’s too late, flee and leave […] nothing will help you except escape.”
The attack did occur, and it had terrible consequences for the young people killed and wounded and for the Israeli cyber security industry, which some believe is one of the best in the world. The attack suggested that marketing rather than effectiveness created an impression at odds with reality.
What are the lessons one can take from this report? The FOGINT team will leave that to you to answer.
Stephen E Arnold, January 13, 2025
Super Humans Share Super Thoughts about Free Speech
January 13, 2025
Prepared by a still-alive dinobaby.
The Marvel comix have come to life. “Elon Musk Responds As Telegram CEO Makes Fun of Facebook Parent Meta Over Fact Checking” reports
Elon Musk responded to a comment from Telegram CEO Pavel Durov, who made a playful jab at Meta over its recent decision to end fact checking on Facebook and Instagram. Durov, posted about the shut down of Meta’s fact checking program on X (formerly known as Twitter) saying that Telegram’s commitment to freedom of speech does not depend on the US Electoral cycle.
The interaction among three modern Marvel heroes is interesting. Only Mark Zuckerberg, the founder and controlling force at Facebook (now Meta) is producing children with a spouse. Messrs. Musk and Durov are engaged in spawning children — presumably super comix characters — with multiple partners and operating as if each ruled a country. Mr. Musk has fathered a number of children. Mr. Durov allegedly has more than 100 children. The idea uniting these two larger-than-life characters is that they are super humans. Mr. Zuckerberg has a different approach, guided more by political expediency than a desire to churn out numerous baby Zucks.
Technology super heroes head toward a meeting of the United Nations to explain how the world will be working with their organizations. Thanks, Copilot. Good enough.
The article includes this statement from Mr. Durov:
I’m proud that Telegram has supported freedom of speech long before it became politically safe to dop so. Our values don’t depend on US electoral cycles, said Durov in a post shared on X.
This is quite a statement. Mr. Durov blocked messages from the Ukrainian government to Russian users of Telegram. After being snared in the French judicial system, Mr. Durov has demonstrated a desire to cooperate with law enforcement. Information about Telegram users has been provided to law enforcement. Mr. Durov is confined to France as his lawyers work to secure his release. Mr. Durov has been learning more about French procedures and bureaucracy since August 2024. The wheels of justice do turn in France, probably less rapidly than the super human Pavel Durov wishes.
After Mr. Durov shared his observation about the Zuck’s willingness to embrace free speech on Twitter (now x.com), the super hero Elon Musk chose to respond. Taking time from posts designed to roil the political waters in Britain, Mr. Musk offered an ironic “Good for you” as a comment about Mr. Durov’s quip about the Zuck.
The question is, “Do these larger-than-life characters with significant personal fortunes and influential social media soap boxes support free speech?” The answer is unclear. From my vantage point in rural Kentucky, I perceive public relations or marketing output from these three individuals. My take is that Mr. Durov talks about free speech as he appears to cooperate with French law enforcement and possibly a nation-state like Russia. Mr. Musk has been characterized by some in the US as “President Musk.” The handle reflects Mr. Musk’s apparent influence on some of the policies of the incoming administration. Mr. Zuckerberg has been quick to contribute money to a recently elected candidate and even faster on the draw when it comes to dumping much of the expensive overhead of fact checking social media content.
The Times of India article is more about the global ambitions of three company leaders. Free speech could be a convenient way to continue to generate business, retain influence over information framing, and reinforce their roles as the the 2025 incarnations of Spider-Man, Iron Man, and Hulk. After decades of inattention by regulators, the new super heroes may not be engaged in saving or preserving anything except their power and influence and cash flows.
Stephen E Arnold, January 13, 2025
AI Defined in an Arts and Crafts Setting No Less
January 13, 2025
Prepared by a still-alive dinobaby.
I was surprised to learn that a design online service (what I call arts and crafts) tackled a to most online publications skip. The article “What Does AI Really Mean?” tries to define AI or smart software. I remember a somewhat confused and erratic college professor trying to define happiness. Wow, that was a wild and crazy lecture. (I think the person’s name was Dr. Chapman. I tip my ball cap with the SS8 logo on it to him.) The author of this essay is a Googler, so it must be outstanding, furthering the notion of quantum supremacy at Google.
What is AI? The write up says:
I hope this helped you better understand what those terms mean and the processes which encompass the term “AI”.
Okay, “helped you understand better.” What does the essay do to help me understand better. Hang on to your SS8 ball cap. The author briefly defines these buzzwords:
- Data as coordinates
- Querying per approximation
- Language models both large and small
- Fine “Tunning” (Isn’t that supposed to be tuning?)
- Enhancing context with information, including grounded generation
- Embedding.
For me, a list of buzzwords is not a definition. (At least the hapless Dr. Chapman tried to provide concrete examples and references to his own experience with happiness, which as I recall eluded him.)
The “definition” jumps to a section called “Let’s build.” The author concludes the essay with:
I hope this helped you better understand what those terms mean and the processes which encompass the term “AI”. This merely scratches the surface of complexity, though. We still need to talk about AI Agents and how all these approaches intertwine to create richer experiences. Perhaps we can do that in a later article — let me know in the comments if you’d like that!
That’s it. The Google has, from his point of view, defined AI. As Holden Caufield in The Catcher in the Rye said:
“I can’t explain what I mean. And even if I could, I’m not sure I’d feel like it.”
Bingo.
Stephen E Arnold, January 13, 2025
Oh, Oh! Silicon Valley Hype Minimizes Risk. Who Knew?
January 10, 2025
This is an official dinobaby post. No smart software involved in this blog post.
I read “Silicon Valley Stifled the AI Doom Movement in 2024.” I must admit I was surprised that one of the cheerleaders for Silicon Valley is disclosing something absolutely no one knew. I mean unregulated monopolies, the “Puff the Magic Dragon” strafing teens, and the vulture capitalists slavering over the corpses of once thriving small and mid sized businesses. Hey, I thought that “progress” myth was real. I thought technology only makes life better. Now I read that “Silicon Valley” wanted only good news about smart software. Keep in mind that this is software which outputs hallucinations, makes decisions about medical care for people, and monitors the clicks and location of everyone with a mobile device or a geotracker.
The write up reminded me that ace entrepreneur / venture professional Marc Andreessen said:
“The era of Artificial Intelligence is here, and boy are people freaking out. Fortunately, I am here to bring the good news: AI will not destroy the world, and in fact may save it,” said Andreessen in the essay. In his conclusion, Andreessen gave a convenient solution to our AI fears: move fast and break things – basically the same ideology that has defined every other 21st century technology (and their attendant problems). He argued that Big Tech companies and startups should be allowed to build AI as fast and aggressively as possible, with few to no regulatory barriers. This would ensure AI does not fall into the hands of a few powerful companies or governments, and would allow America to compete effectively with China, he said.
What publications touted Mr. Andreessen’s vision? Answer: Lots.
Regulate smart software? Nope. From Connecticut’s effort to the US government, smart software regulation went nowhere. The reasons included, in my opinion:
- A chance to make a buck, well, lots of bucks
- Opportunities to foist “smart software” plus its inherent ability to make up stuff on corporate sheep
- A desire to reinvent “dumb” processes like figuring out how to push buttons to create addiction to online gambling, reduce costs by eliminating inefficient humans, and using stupid weapons.
Where are we now? A pillar of the Silicon Valley media ecosystem writes about the possible manipulation of information to make smart software into a Care Bear. Cuddly. Harmless. Squeezable. Yummy too.
The write up concludes without one hint of the contrast between the AI hype and the viewpoints of people who think that the technology of AI is immature but fumbling forward to stick its baby finger in a wall socket. I noted this concluding statement in the write up:
Calling AI “tremendously safe” and attempts to regulate it “dumb” is something of an oversimplification. For example, Character.AI – a startup a16z has invested in – is currently being sued and investigated over child safety concerns. In one active lawsuit, a 14-year-old Florida boy killed himself after allegedly confiding his suicidal thoughts to a Character.AI chatbot that he had romantic and sexual chats with. This case shows how our society has to prepare for new types of risks around AI that may have sounded ridiculous just a few years ago. There are more bills floating around that address long-term AI risk – including one just introduced at the federal level by Senator Mitt Romney. But now, it seems AI doomers will be fighting an uphill battle in 2025.
But don’t worry. Open source AI provides a level playing field for [a] adversaries of the US, [b] bad actors who use smart software to compromise Swiss cheese systems, and [c] manipulate people on a grand scale. Will the “Silicon Valley” media give equal time to those who don’t see technology as a benign or net positive? Are you kidding? Oh, aren’t those smart drones with kinetic devices just fantastic?
Stephen E Arnold, January 10, 2025
The Brain Rot Thing: The 78 Wax Record Is Stuck Again
January 10, 2025
This is an official dinobaby post.
I read again about brain rot. I get it. Young kids play with a mobile phone. They get into social media. They watch TikTok. The discover the rich, rewarding world of Telegram online gambling. These folks don’t care about reading. Period. I get it.
But the Financial Times wants me to really get it. “Social Media, Brain Rot and the Slow Death of Reading” says:
Social media is designed to hijack our attention with stimulation and validation in a way that makes it hard for the technology of the page to compete.
This is news? Well, what about this statement:
The easy dopamine hit of social media can make reading feel more effortful by comparison. But the rewards are worth the extra effort: regular readers report higher wellbeing and life satisfaction, benefiting from improved sleep, focus, connection and creativity. While just six minutes of reading has been shown to reduce stress levels by two-thirds, deep reading offers additional cognitive rewards of critical thinking, empathy and self-reflection.
Okay, now tell that to the people in line at the grocery store or the kids in a high school class. Guess what? The joy of reading is not part of the warp and woof of 2025 life.
The news flash is that traditional media like the Financial Times long for the time when everyone read. Excuse me. When was that time? People read in school so they can get out of school and not read. Books still sell, but the avid readers are becoming dinobabies. Most of the dinobabies I know don’t read too much. My wife’s bridge club reads popular novels but non fiction is a non starter.
What does the FT want people to do? Here’s a clue:
Even if the TikTok ban goes ahead in the US, other platforms will pop up to replace it. So in 2025, why not replace the phone on your bedside table with a book? Just an hour a day clawed back from screen time adds up to about a book a week, placing you among an elite top one per cent of readers. Melville (and a Hula-Hoop) are optional.
Lamenting and recommending is not going to change what the flows of electronic information have done. There are more insidious effects racing down the information highway. Those who will be happiest will be those who live in ignorance. People with some knowledge will be deeply unhappy.
Will the FT want dinosaurs to roam again? Sure. Will the FT write about them? Of course. Will the impassioned words change what’s happened and will happen? Nope. Get over it, please. You may as well long for the days when Madame Tussaud’s Wax Museum and you were part of the same company.
Stephen E Arnold, January 10, 2025
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