• Home
• About
• Writers
• Wizards Index
• Landscape
• Fraud
• Wanna Be Like Larry?

 Subscribe

Quite an Allegation: Israeli Firm Caused AI Hacking, Not the US AI Firms Themselves

Another dinobaby post. If there is an image, AI did it. I am Grandpa Arnold, not Grandma Moses.

I know a couple of the senior professionals at Israeli policeware and intelware firms. Sure, these professionals are nerds. I want to point out that these particular nerds can kill a person. I don’t output much information about these Israeli outfits. [a] Some information about specialized services firms should not be disseminated to the public. [b] Understanding the functions of these specialized services requires some familiarity with the software genres of policeware and intelware. Hearing about a function can create confusion and sometimes embarrassment for everyone. And [c] why create a story without having an opportunity to speak with those alleged to have created the software and used it.

Thanks, Midjourney. Good enough.

The folks publishing “A Single Firm is Behind OpenAI, Anthropic, and Meta Hacking Scandals” don’t share my mindset. The article on the Effort.News Web site identifies an Israeli company, provides the names of people involved with the firm, and provides financial data.

To illustrate, the cited article says:

Omer Nevo, Irregular’s co-founder and CTO, is a board member of Effective Altruism Israel, as well as Effective Altruism NGOs Heron and Probably Good. Dan Lahav, Irregular’s co-founder and CEO, received $395,000 to start a course along with Sella Nevo, Omer Nevo’s brother. Sella and Omer co-founded an NGO to educate people about Effective Altruism, Impact Focused Education. They also co-founded Probably Good together. These branches are all funded by Dustin Moskovitz, the primary donor of Effective Altruist/AI Safety causes after Sam Bankman-Fried’s arrest. Irregular’s first investor was Dustin Moskovitz’s firm Good Ventures. Dustin Moskovitz’s philanthropic vehicle, Coefficient Giving/Open Philanthropy, funds Effective Altruism Israel, Heron, and Probably Good.

We have some jargon like “effective altruism.” We have the rogue AI agents from Anthropic, Meta, and OpenAI. We have hints about political actions. We have outputs from the US AI companies, and these are rich sources of information designed to jockey into a position where the fastest horse can win the smart software race. We have tantalizing spices that suggest less salubrious motives.

Several thoughts are zipping through my dinobaby brain:

1. I can visualize a series of tests designed to provide information about the exploitability of the BAIT (big AI tech) smart software confections. For context, I think that when several services went down almost simultaneously, the likelihood of that occurring by chance was slim. I pointed that out. Intent raises questions for me about coincidence.
2. My view is that in the “community” of alumni of United 8200 is a reasonably close knit group. Therefore, it is expected that new ideas, feelers for funding, and proofs of concept will be rolled out to demonstrate a particular capability. Is it possible that the US AI service takedown and the rouge agents were motivated by the dynamics of the IDF and Unit 8200 conventions? Sure, some can say the tests went off the rails, but my hunch is useful information was obtained.
3. Perhaps the rogue agents were the work of another nation state? The operators just set up the Israeli’s as part of a wider information warfare action. The US is a bit of a sitting duck and “secrets” seem to be a vague concept for some GenX, GenY, and GenZ people.
4. What if these escapes were due to employees’ thinking, “Hey, let’s see if our software can figure out how to hack into other firms’ information?” Is this possible? Of course, well-paid AI wizards would never ever do something untoward, would they?

As a dinobaby, I am more interested in getting substantive data from interviews with those involved with the identified firms. I want to see a wider view of the information warfare front. I want to learn a bit more about what other cyber experts make of the rogue agent meme.

Net net: From my dinobaby’s perspective, keeping secrets is important. Effective operational security is critical. Providing first-person inputs from those involved with the action reduces my skepticism. Those younger than I just say, “Okay, boomer.” I hear you, but I don’t share some of your ideas, research, and assertions.

Stephen E Arnold, September 24, 2026

The World of Meta: Bad Stuff? No Way

Meta is not a bad actor. We love El Zucko, his approach to child safety, and his commitment to etchical business practices. Some folks do not have the same view point., We know this because, according to Ars Technica, Meta took days to remove ads that contained AI-generated sexual abuse material on Instagram and Facebook. You can read the full story, allegedly actual factual write up, here: “‘This Is The AI Men Actually Use’: Meta Ads Pushed Apps Nudifying Real Teens.” The Tech Transparency Project (TTP) discovered that Meta failed to detect 332 ads with child sexual abuse material (CSAM). These ads were mostly promoted in China and most were “nudify” apps that allow bad actors to digitally alter pictures of kiddos. Believe it or not, there is a brisk business is CSAM. It is probably a plus that Mark Zuckerberg does not have French citizenship and has not had an opportunity to interact with Madame Brousse of the French judiciary. (El Zucko could shoot Pavel Durov a message and ask for some color about his experience waiting for his criminal trial to address allegations that the GOAT did some sporty things.

Here is more of what TTP found:

“TTP matched “multiple CSAM ads to photos of real children that appeared online.” These ads seem to violate federal child pornography laws, since the Justice Department has clarified that AI CSAM is just as harmful as CSAM. The young royal’s image was “animated into a video of her performing a graphic sex act,” TTP found. Other ads animated a photo of a 14-year-old Instagram influencer “showing off her new sports club uniform” into “a video of her performing oral sex.” A third “preteen” victim “posing in a pink athletic outfit with pigtails” in a series of stock photos was morphed into a video where she looks frightened as she’s molested by an adult male, TTP reported.”

Most of the ads depicted preteen girls. Meta claimed they had new systems to detect CSAM. However, Wired and TTP teamed up and found hundreds of ads that the “new technology” didn’t pick up. (I know. I know. “We are working to resolve this problem.”) In short, Meta doesn’t respond to all of the CSAM ads that pop up on its social platforms and may be profiting because its systems are works in progress, have bugs, or have been hacked by a rogue AI from a country hostile to the US.

What are we going to do? Do not say, “Nothing.”

America is maybe possibly going to make an effort to hold the estimable firm accountable. Will companies doing CSAM attempt to “game the system” by routing around intercept nodes? Of course not. Stopping CSAM on a global scale is sort of hard.

Whitney Grace, September 24, 2026

Bad AI Dances with Agents. Woo Woo

We’ve seen instances of what happens when AI agents are left to their own devices? Sometimes they self-sabotage, other times they continue on with what they were programmed to do. Other times they plan world domination. We’re just kidding on the latter one, but did it get your attention? ARXIV shared a paper by Subhadeep Pal, Fiona Y. Wang, and Markus J. Buehler called “SwarmWorld: Stigmergic Technological Evolution In Societies Of Language-Model Agents” that explores this very idea.

Basically the paper explains that AI agents will learn tasks from acquired experienced through LLMs via direct conversation, predefined roles, and centralized workflows. They rely on these activities to grow and learn. However, it remains unclear if agents can grow on their own by building functional technologies or even outperform centralized search. The paper’s writers build SwarmWorld to test what would happen to agents if they were left to their own devices. This is what happened:

“Here, initially homogeneous LLM agents in SwarmWorld self-organize without assigned roles or recipes into evolving technological societies. Agents explore a spatial environment, process resources, test materials, construct persistent artifacts, and write executable controllers evaluated by a deterministic simulator under unseen disturbances after the agents are removed. SwarmWorld splits cognition from consequence: agents propose architectures and controllers within fixed action and material schemas, while the simulated world determines function. Shared societies develop broader, more resilient technological portfolios than a strong best-of-N isolated-search baseline, although isolated search remains competitive for the strongest artifact. Agents differentiate into exploration, construction, maintenance, and coordination behaviors, transitioning as the world matures. Technologies accumulate through collaborative construction, executable inheritance, and persistent agent-artifact networks, with most reuse beginning through physical observation rather than communication.”

In other worlds, they built their own society and culture. Over on Reddit someone shared a video if SwarmWorld:

"We put hundreds of AI agents into a world … They began specializing. A swarm of hundreds of identical agents spontaneously differentiates into explorers, builders, caretakers, and coordinators – without direct communication. They invent technologies without talking to each other.”

Charming. Emergent social behavior among zeros and ones. Bad AI moves beyond a simple dance into swarming behavior. Progress.

Whitney Grace, September 17, 2026

MyChart: A Big Fat Juicy Target. Phishing Can Be Hazardous

Phishing scams in the medical field are going to increase as technology advances and bad actors figure out how to manipulate it for their nefarious purposes. It has already happen to hospitals and other medical practices with hospitals in Florida being one of the latest victims according to The Cool Down: “Florida Hospitals Warn Patients About ‘MyChart’ Phishing Scam Targeting Portal Users.”

Bad actors are posing as MyChart, one of the most prevalent patient portals in the United States, by sending spam messages. The goal is to steal sensitive information. It is extremely alarming because older adults are the most vulnerable, especially those who use Medicare, are managing appointments, or viewing test results.

Hospitals in Florida and across the country are advising people that phishing emails are impersonating MyChart. These emails use persuasive titles and information such as “MyChart Medicare Kit” or wellness programs to bait people into clicking harmful links or sharing personal information.

“MyChart is used on a vast scale in the American healthcare system. The portal is connected to Epic Systems, which accounts for about 44% of the hospital market for electronic medical records in the U.S. Epic’s records cover about 253 million U.S. patients, and roughly 190 million people have a MyChart account, per Naples Daily News. With that kind of reach, scammers can make a message look convincing by attaching a familiar logo or trusted health care name, particularly when Medicare or health benefits are mentioned. Trevor Berceau, Epic’s director of research and development, posted on the company’s MyChart site warning users about an increase in attempts to deceive users through fake emails, text messages, phone calls, and websites that appear official.”

To avoid mishaps, hospitals are repeating the same basic advice: don’t click on links in suspicious emails and only sign onto MyChart via the hospitals’ websites or the MyChart app. Patients are also told not to share any sensitive information and if they have any doubts they should contact the hospitals or medical practices directly.

How secure are health records? I received another patient’s post-op protocol on Thursday, September 10. Our local hospital appeared in the top 10 of the most serious medical breaches in the last five years. Yep, targets. Big fat juicy ones.

Whitney Grace, September 16, 2026

No Big Deal: Ant, Mastercard, and Visa Hop Roll on Financial Rails

Another dinobaby post. No AI unless it is an image. This dinobaby is not Grandma Moses, just Grandpa Arnold.

In my recent lectures for cyber fraud investigators, I touched on the jargon “payment rails.” In regulated financial institution, the freight (money) riding the rails from Point A to Point B are usually written down. These usually obscure notes, codes, and digital artifacts allow forensic accountants and cyber fraud investigators to follow the money. I pointed out that some Web3-type outfits have payment rails as well. The idea in Web3 rail yards, the transactions are encrypted. Records of different types and value may be kept, but these can be tough to obtain. Tricks range from cross jurisdictional operation to buying chips in virtual casinos and then cashing out the chips into something of value. If you are curious about how these operations work, you will have to fire up your favorite guard-rail free large language model and do some prompting. This dinobaby keeps his lecture material out of this free blog. (Hey, life is better when one safeguards information in my opinion.)

Thanks, Midjourney. Good enough.

So what?

I read “Ant International Partners with Visa, Mastercard on Developing AI Payments.” The write up leads with the AI “thing.” However, I view the short write up as hip hopping over another point. However, let’s look at what the news items says:

Fintech company Ant International announced Thursday it has signed on Visa and Mastercard to collaborate on a new standard for payments made via AI agents, in a bet that they will be used more and more by consumers and businesses.

Tame enough except that Ant is a unit of Alibaba, the outfit that snaps comfortably into Chinese leadership’s idea of what a proper company should be, do, and manifest. Why? Look at the numbers: $3 to $5 trillion of money flow. A little service charge here and a small fee there and what do you get: A nice revenue stream.

Look at what the story says about Ant’s focus:

The new collaboration will focus on how the payment companies can “know your agent,” Ant said in the announcement, which includes building common standards that link each agent to a valid entity, assess each agent’s behavior and monitor them. It’s an effort to increase interoperability for users of the different systems. “If [an] agent registers with Ant, they don’t need to register again with Visa, Mastercard,” Yang said.

This sounds quite a bit like the Google-type of approach to running a commercial operation for advertising. There are many points at which money is collected. I see the same toll booths in this consolidation of interoperability standards.

But what about smart software? That’s what the write up walks around. Smart software allows Web3 smart contracts, distributed applications, and high-speed flows to take place. There is no need to slow down. We are operating at high speed. I want to point out that cyber fraud investigators operate with a different clock speed.

The write up does not point out that the Web3 type systems will be crypto accommodating. And why not? China is thinking stable coins. Money laundering masterminds think stable coins. Heck, even over the counter outfits operating on Telegram, the Dark Web, and from walk up counters in certain countries think in terms of stable coins. But the author and CNBC don’t.

One other minor point: Google and Alibaba have a relationship. I learned last week that Google is not too keen on having its links to Alibaba, crypto, payment flows, and other business ideas linked to the type of ideas this dinobaby explores in my lectures about next-generation cyber crime. I think that is a great idea; however, pushing certain information to an investigator during one of my lectures seems a bit clumsy. Just sayin’.

What do I make of this announcement?

1. The public statements in the story don’t address the Web3 angle.
2. The main idea of the write up is convenience. Americans love convenience. So do some other sectors.
3. The connection of smart software to distributed applications enables a different type of financial opportunity space. None of those  “creative” use cases appears in the write up.

The wrap up to what CNBC calls its “report” is telling:

Users can currently also make recurring ride-hailing requests from Didi via the same Alipay AI tool.

Will Didi interact with Careem as well? Oh, you don’t know about Careem? Hmmm.

Stephen E Arnold, September 15, 2026

Are Bad Actors Upping the Ante

Remember the good old days when a bad actor would scam a grandma down the block out of $40,000? Those days seem to be morphing into larger scale actions.

Bad actors are holding a German city hostage says the BBC in the article, “Berlin Is Being Blackmailed By Hackers, Mayor Says.” The black hat hackers stole data and compromised the city’s systems. The bad actors demanded a ransom be paid in order to release the city, but Berlin officials refused to pay. Berlin officials were forced to close down the city’s online systems and investigated what data had been stolen.

The Rhysida group took responsibility for the attack. These bad actors are believed to be located in Russia or eastern Europe. The Rhysida group previously attacked the British Museum. It is believed they are demanding 30 bitcoin €2m (£1.7m) as the ransom amount.

The Beeb reported:

“It has said on its website it intends to begin auctioning the 5.79 terabytes of data it was able to steal from Berlin in seven days’ time, according to news agency Reuters. “Berlin will not be blackmailed,” Wegner said on Friday. He said state police, prosecutors and federal security services were working to investigate the suspected perpetrators “with the utmost urgency”, adding that inquiries into the “content and scope of the compromised data are being pursued with great intensity”. Officials for the city-state said an initial data leak occurred between 7 and 12 August. Then, on 14 August, two department networks were shut down, making applications for housing benefits and payments impossible for several days. Forensic investigations had since revealed further data leaks within Berlin’s transport and environment department, officials said.”

The Rhysidia group published a countdown on their website that indicates when they will auction off Berlin’s data. We’re looking at the future of cyber crime. Forget grannies. Go big time seems to be looming in the future. (Is AI responsible? Of course not.)

Whitney Grace, September 11, 2026

A New Smart Software Trick: Gain of Function and Killer Viruses!

Another dinobaby post. No AI unless it is an image. This dinobaby is not Grandma Moses, just Grandpa Arnold.

The big AI tech outfits are rushing to tell the world, “Our models can break out of our systems. Trust us for sure, please.” I don’t know about you, but my trust is the US big AI tech outfits is fragile. Your mileage may be vary. (Enjoy the ride, please.)

Thanks, MidJourney. Good enough.

Tom’s Hardware published an interesting write up with the snappy title “AI Creates 16 New Viruses That Never Existed in Nature after Learning DNA’s Pattern from 9 Trillion Nucleotides — Experts Warn Such Applications Are Way Ahead of Necessary Guardrails.” The write up states:

Researchers say the phages can overcome bacterial resistance

I remember my advanced biology class. That’s the one in which the impressive Camile B. pounded out A+ work without looking bothered at all. It also sounds a bit like the alleged gain of function work allegedly funded by the US allegedly not really a US project in the facility not far from a popular food market in Wuhan. (I have been to Wuhan. Lots of people. Lots of alleged activity.)

The write up says:

… researchers trained a genomic AI model to design complete DNA sequences for viruses, then chemically built the results and watched some come to life. Of 285 AI-generated viral genomes tested, 16 successfully assembled into functioning viruses capable of infecting bacteria and reproducing.

Yep, we do it because we can. It’s science. Plus, don’t worry:

The scientists say the new viruses were completely harmless to humans, noting that replicating the same results in pathogens known to affect humans would be a different ballgame. They were also careful not to train the AI on any data from organisms known to affect humans. However, the study inadvertently shows that highly dangerous applications are a possibility. Experts worry that such studies are way ahead of necessary guardrails and regulations. AI has also been known to fly off the rails autonomously. An OpenAI agent recently went rogue and hacked Hugging Face.

Several observations from this dinobaby are warranted:

1. Guardrails are tough to set up when one does not know exactly what one is guarding against.
2. Researchers probably should be [a] supervised and [b] have a cheat sheet that lists dot points for ethical behavior
3. Any technology can be used for beneficial and detrimental purposes. Just a reminder of the two-edged sword trope.

Net net: I wonder if the non US smart software can perform in a similar manner. Nah, no other LLM researchers would be this creative and innovative. Well, maybe?

Stephen E Arnold, September 7, 2026

Coincidence: Unlikely

On September 3, 2026, something interesting seems to have taken place. OpenAI, Anthropic, xAI, and Google learned that their AI systems experience a digital heart failure. The hearts began beating again, but the leadership of these firms had a headache, and I am not sure it has gone away.

Ars Technica said in “Four Major AI Models Suffer Rare Overlapping Downtime. Service Interruptions Hit ChatGPT, Claude, Grok, and Gemini Practically Simultaneously.” How about this for a velvet glove observation?

While the affected frontier models go down occasionally, having all four experience interruptions in the same short period is practically unheard of. Claude reports 99.4 percent uptime for its services over the last 90 days and last reported a similar three-hour “partial outage” on August 24. OpenAI reports 99.63 percent uptime for ChatGPT and 100 percent uptime for ChatGPT Codex in the same period. ChatGPT’s so-called “Work Mode” reported an hours-long period of “elevated latency” on August 31.

Computerworld in “ChatGPT, Claude, and Grok All Went Down at Once; Enterprises Need a Backup Plan” stated:

…on Thursday, as OpenAI’s ChatGPT, Anthropic’s Claude, and SpaceXAI’s Grok near-simultaneously, and somewhat mysteriously, experienced significant, prolonged outages.

Yep, mysterious.

Let’s stop and ask a handful of questions not addressed in these two cited write ups:

• What happened to the cloud providers and their systems? Don’t infrastructure operators have smart software tuned to identify and fail over immediately? Everyone’s favorite BAIT (big AI tech company) outfit not only owns its vertical stack, the firm owns a couple of state-of-the-art cyber security systems. What went wrong in the engineering, design, and implementation of these smart defense mechanisms? I think I know the answer. A lawyer will help craft a plausible deniability statement or tell the clients with the problematic system, “Keep you lip zipped.”
• What about the tech bloggers and YouTube experts? Where are those deep dives into the technical issues that caused for BAITs to go south at approximately the same time? (Is it possible that analyses have been posted and remain unindexed in order to convert the story into the information equivalent of a squirrel dashing into a roadway only to be squished by a Ford F-150’s front tire?)
• What are the BAIT ourfits saying? Yeah, not much, right? Does the cat have your PR departments tongue?

I haven’t been in a statistics class in more than half a century. The idea that four unrelated companies’ smart software glitches at about the same time on the same day seems unlikely. Is there an undisclosed or previously unknown dependency sparking this dumpster fire? Did an outside actor send a signal to test the efficacy of its “kill US AI services” switch? I can think of a couple of countries who might have explored developing such a software device.

I used the free pen I snagged at the Staunton, Virginia, Comfort24 Hotel. I roughed out some numbers. I recast these into one of my analogies. For four unrelated AI firms to experience an outage at roughly the same time on the same day of the week is like a public park with four kid-oriented merry go rounds rotating 24 hours a day. Each merry go rounds dumps kids off. The chance that I could look at the four rotating merry go rounds and see each of the four dumping a kid simultaneously is about one in 6,000,000. For me, the coincidence is sufficiently improbable to say, “Yo, we have a shared dependency or we have a bad actor testing a kill switch.”

In my typical dinobaby fashion, I wish to offer a few observations. [a] Sheer chance is unlikely to produce this type of event. [b] A bad actor working from a position with tools that permits a kill actio to occur seems worth considering. [c] The baloney about security and reliability needs a footnote to two to allay the concerns of suspicious individuals like me.

Net net: We just received a signal. Who will stand up and say, “Okay, folks this is what really happened.” Tip: Don’t hold your breath.

Stephen E Arnold, September 7, 2026

A Ratonalizing Goat: Durov Explains Life

We spotted a very Web3 presentation of Pavel Durov’s view of himself, Telegram, and his minor scrape in France. We provide a snapshot of this bleat in “GOAT Talk: Why the Police Pursue Telegram.” The uncertainty about Durov’s trial in France, the near miss in Alpha Compute’s Nasdaq delisting, and the somewhat disappointing “value” of the GRAM coin dog the Telegram operation. The story appears on our Telegram Notes blog.

Stephen E Arnold, September 3, 2026

AI-Yi-AI: We Know Where This Is Heading or Gimme Some Moore

Another dinobaby post. No AI unless it is an image. This dinobaby is not Grandma Moses, just Grandpa Arnold.

Every once in a while I read an output from Semi Analysis (please, don’t confuse this consulting firm with Artificial Analysis). I have learned that my blood pressure ticks up, and I need a break to water the flowers. “Are Open Models Catching Up?” The assumptions underlying the write up, in my opinion as an official dinobaby, are:

Assumption 1: The US is the world’s leader in proprietary closed (proprietary) frontier models

Assumption 2: Open models deliver results on benchmark tests that show the frontier faces an encroaching suburbia of smart software

Assumption 3: Assume that the US will be the big winner in opening up the Wild West frontier of artificial intelligence

Assumption 4: Writing blue-chip thinking and giving it away for free will generate sales leads

Assumption 5: Open models have to catch up. (Spoiler: No, open models only have to be good enough, available, and cheap.)

You and Semi Analysis won’t agree, but just for fun, suspend your doubt, and let’s think about what is happening in the “if we build it, they will come” world of smart software.

The write up says:

The past two months have been a breakout period for open source AI. Yes, there was the “Deepseek moment” back in January 2025, but no one actually used R1 to do any economically valuable work. In contrast, models like GLM 5.3 and Kimi K3 are genuinely capable of many of the same coding and agentic tasks that rocketed Anthropic to $65B+ ARR. Unlike others who inflated ARR, our figures were much closer to reality.

Let’s accept the statement about “no one actually used R1 to do any economically valuable work” and “our figures were much closer to reality.”

The “killer chart” is this one:

Sure, it is black and hard to read. The idea the chart is supposed to make is that Semi Analysis has discovered a chart that someday soon will look like this one from Wikipedia:

By golly, Semi Analysis and “their figures were much closer to reality” appears to suggest that open AI models are improving in the same way chips were. The swizzle in this some Moore law is that the open models are improving from “below.” The idea is that open models are catching up with the frontier pioneers’ trailblazing innovations.

But wait! The future of smart software is agentic. That means that new players will enter the fray and use the existing models as an installed base of capabilities. Agents will become the next big thing. Is this a new insight? My answer: Nope. Agents are the next big thing. If the Semi Analysis-type thinkers take a look at what outfits like Alibaba have been doing for months, the progress is rapid. Depending upon what a user wants to do, one can look at Alibaba, its deal with Google, and the distributed innovation method in use. The conclusion could be phrased this way: “Let the open models catch up. We will use wrapper software and agents to create a different type of system and user interaction method.”

Why is this important? In my upcoming Ciffer lecture about the future of online crime, I point out:

1. Open tools and systems are good enough
2. Improvement in these tools and systems allow bureaucracy-free actors to select, test, discard, learn, and use what works
3. Cyber security professionals have to figure out what has happened, pinpoint the agent, and the figure out how to prevent the action from taking place again.

Bad actors have been tapping LLM capabilities since the systems became available. This means that the assertion the early open models were not economically viable. Sorry, Semi Analysis, your semi analysis is dead wrong. You are looking at the corporate sector which is still trying to figure out a use case that delivers a payoff. The open models work just fine for the ransomware folks, the data suckers, and the systemic disruption people.

What’s the future look like? Unlike Semi Analysis I don’t have a big orange button so you can buy the answer to the question. I will go through what’s coming from within the US and from non-US players at the Ciffer event. Let me hint at what’s happening: Frontier models are struggling to improve. Open models are good enough. Economic evidence that open models work is available. But that’s not the story. The nascent attempt to create a Moore’s Law for AI has to look beyond what BAIT outfits are doing (BAIT is my lingo for big AI tech and “ai tech” rhymes with “train wreck”).

Stephen E Arnold, August 28, 2026

Next Page »

• 

• Search the site

•  

  Subscribe to Beyond Search

  • 
  • 
   
  • 
   
  
  Feature archive
  News archive
   
  
  
  Stephen E. Arnold monitors search, content processing, text mining and related topics from his high-tech nerve center in rural Kentucky. He tries to winnow the goose feathers from the giblets. He works with colleagues worldwide to make this Web log useful to those who want to go "beyond search". Contact him at sa [at] arnoldit.com. His Web site with additional information about search is arnoldit.com.

• Categories

  • 3D-Printing
  • Acquisition
  • Advertising
  • Aggregation
  • AI
  • Alexa
  • algorithms
  • Amazon
  • Amazonia
  • Analytics
  • Appliance
  • Applications
  • Audio
  • Augmented Reality
  • Big data
  • Bing
  • Bitcoin
  • Bitext
  • Book review
  • Business intelligence
  • Business process
  • Business strategy
  • Censorship
  • Cloud computing
  • Company Profile
  • Conferences
  • Connectors
  • Consulting
  • Consumer
  • Content processing
  • Copyright
  • Corporate Concerns
  • Cost
  • Crawl
  • Crowdfunding
  • cryptocurrency
  • Customer support
  • Cyber OSINT
  • cybercrime
  • cybersecurity
  • Dark Web
  • DarkCyber
  • Data
  • Data mining
  • Database
  • Deepfakes
  • Digital Assistant
  • Digital Library
  • Disinformation
  • E2EE
  • ECommerce
  • EDiscovery
  • Editorial opinion
  • Education
  • Emoticons
  • Employment
  • Enterprise
  • Enterprise search
  • Entity extraction
  • Ethics
  • Facebook
  • Faceted search
  • Factualities
  • Feature
  • Federated search
  • Financial
  • Google
  • Governance
  • Government
  • Hackers
  • healthcare
  • IBM Watson
  • Image search
  • Indexing
  • Infrastructure
  • Innovation
  • Integration
  • intelware
  • Interface
  • Internet
  • Interview
  • Investment
  • law enforcement
  • Legal matters
  • Library automation
  • Management
  • Marketing
  • Mathematics
  • Metadata
  • Microsoft
  • Mobile
  • Natural language processing
  • News
  • NGIA
  • Online (general)
  • Open Access
  • Open source
  • OSINT
  • Osint Radar
  • Overflight
  • Palantir
  • Patents
  • Personnel
  • Podcast
  • Policeware
  • Portals
  • Predictive coding
  • Privacy
  • Profile
  • Publishing
  • Quotation
  • Real time search
  • Reference tool
  • Rich media
  • Robot Writer
  • Search
  • Search enabled applications
  • search engine
  • Search quality
  • Security
  • Semantic
  • Sentiment analysis
  • SEO
  • SharePoint
  • Short Honks
  • Smart Technology
  • Social
  • Social Media
  • software
  • Statistics
  • Taxonomy
  • Technology
  • Telegram
  • Text analytics
  • Text processing
  • Tools
  • Tor
  • Training
  • Translation
  • Twitter
  • Uncategorized
  • Unstructured Data
  • User experience
  • User Interface
  • Vertical search
  • Video
  • visualization
  • Voice search
  • Voice technology
  • Web 3
  • Web Services
  • Webinar
  • Windows
  • Work flow
  • XML
  • Yahoo

• Archives

  Archives Select Month September 2026 August 2026 July 2026 June 2026 May 2026 April 2026 March 2026 February 2026 January 2026 December 2025 November 2025 October 2025 September 2025 August 2025 July 2025 June 2025 May 2025 April 2025 March 2025 February 2025 January 2025 December 2024 November 2024 October 2024 September 2024 August 2024 July 2024 June 2024 May 2024 April 2024 March 2024 February 2024 January 2024 December 2023 November 2023 October 2023 September 2023 August 2023 July 2023 June 2023 May 2023 April 2023 March 2023 February 2023 January 2023 December 2022 November 2022 October 2022 September 2022 August 2022 July 2022 June 2022 May 2022 April 2022 March 2022 February 2022 January 2022 December 2021 November 2021 October 2021 September 2021 August 2021 July 2021 June 2021 May 2021 April 2021 March 2021 February 2021 January 2021 December 2020 November 2020 October 2020 September 2020 August 2020 July 2020 June 2020 May 2020 April 2020 March 2020 February 2020 January 2020 December 2019 November 2019 October 2019 September 2019 August 2019 July 2019 June 2019 May 2019 April 2019 March 2019 February 2019 January 2019 December 2018 November 2018 October 2018 September 2018 August 2018 July 2018 June 2018 May 2018 April 2018 March 2018 February 2018 January 2018 December 2017 November 2017 October 2017 September 2017 August 2017 July 2017 June 2017 May 2017 April 2017 March 2017 February 2017 January 2017 December 2016 November 2016 October 2016 September 2016 August 2016 July 2016 June 2016 May 2016 April 2016 March 2016 February 2016 January 2016 December 2015 November 2015 October 2015 September 2015 August 2015 July 2015 June 2015 May 2015 April 2015 March 2015 February 2015 January 2015 December 2014 November 2014 October 2014 September 2014 August 2014 July 2014 June 2014 May 2014 April 2014 March 2014 February 2014 January 2014 December 2013 November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 October 2012 September 2012 August 2012 July 2012 June 2012 May 2012 April 2012 March 2012 February 2012 January 2012 December 2011 November 2011 October 2011 September 2011 August 2011 July 2011 June 2011 May 2011 April 2011 March 2011 February 2011 January 2011 December 2010 November 2010 October 2010 September 2010 August 2010 July 2010 June 2010 May 2010 April 2010 March 2010 February 2010 January 2010 December 2009 November 2009 October 2009 September 2009 August 2009 July 2009 June 2009 May 2009 April 2009 March 2009 February 2009 January 2009 December 2008 November 2008 October 2008 September 2008 August 2008 July 2008 June 2008 May 2008 April 2008 March 2008 February 2008 January 2008 November 5

• Recent Posts

  • Google, Ireland, the EU, Run at Different Clock Speeds
  • Usenet Is Back And Ready For Action
  • Chinese Security and a Claude Data Hoard
  • Windows 11 … Just $10. I Think I Know Why
  • Tech Bros Say One Thing, FBI Experiences Another Thing

• Meta

  • Log in
  • Entries feed
  • Comments feed
  • WordPress.org