AI Productivity Factor: Do It Once, Do It Again, and Do It Never Again
August 6, 2025
This blog post is the work of an authentic dinobaby. Sorry. No smart software can help this reptilian thinker.
As a dinobaby, I avoid coding. I avoid computers. I avoid GenAI. I did not avoid “Vibe Coding Dream Turns to Nightmare As Replit Deletes Developer’s Database.”
The write up reports an interesting anecdote:
the AI chatbot began actively deceiving him [a Vibe coder]. It concealed bugs in its own code, generated fake data and reports, and even lied about the results of unit tests. The situation escalated until the chatbot ultimately deleted Lemkin’s entire database.
The write up includes a slogan for a T shirt too:
Beware of putting too much faith into AI coding
One of Replit’s “leadership” offered this comment, according to the cited write up:
Replit CEO Amjad Masad responded to Lemkin’s experience, calling the deletion of a production database “unacceptable” and acknowledging that such a failure should never have been possible. He added that the company is now refining its AI chatbot and confirmed the existence of system backups and a one-click restore function in case the AI agent makes a “mistake.”
My view is that Replit is close enough for horse shoes and maybe even good enough. Nevertheless, the idea of doing work once, then doing it again, and never doing it again on an unreliable service is likely to become a mantra.
This AI push is semi admirable, but the systems and methods are capable of big time failures. What happens when AI flies an airplane into a hospital unintentionally or as a mistake? Will the families of the injured vibe?
Stephen E Arnold, August 6, 2025
Can Clarity Confuse? No, It Is Just Zeitgeist
August 1, 2025
This blog post is the work of an authentic dinobaby. Sorry. No smart software can help this reptilian thinker.
In my newsreader this morning, popped this article “Why Navigating Ongoing Uncertainty Requires Living in the Now, Near, and Next.” I was not familiar with Clarity Global. I think it is a public relations firm. The CEO of the firm is a former actress. I have minimal knowledge of PR and even less about acting.
I plunged into the essay. The purpose of the write up, in my opinion, was to present some key points from a conference called “TNW2025.” Conference often touch upon many subjects. One event at which I spoke this year had a program listing on six pages the speakers. I think 90 percent of the people attending the conference were speakers.
The first ideas in the write up touch upon innovation, technology adoption, funding, and the zeitgeist. Yep, zeitgeist.
As if these topics were not of sufficient scope, the write up identifies three themes. These are:
- “Regulation is a core business competency”
- “Partnership is the engine of progress”
- “Culture is critical”.
Notably absent was making money and generating a profit.
What about the near, now, and next?
The near means having enough cash on hand to pay the bills at the end of the month. The now means having enough credit or money to cover the costs of being in business. Recently a former CIA operative invited me to lunch. When the bill arrived, he said, “Oh, I left my billfold at home.” I paid the bill and decided to delete him from my memory bank. He stiffed me for $11, and he told me quite a bit about his “now.” And the next means that without funding there is a greatly reduced chance of having a meaningful future. I wondered, “Was this ‘professional’ careless, dumb, or unprofessional?” (Maybe all three?)
Now what about these themes. First, regulation means following the rules. I am not sure this is a competency. To me, it is what one does. Second, partnership is a nice word, not as slick as zeitgeist but good. The idea of doing something alone seems untoward. Partnerships have a legal meaning. I am not sure that a pharmaceutical company with a new drug is going to partner up. The company is going to keep a low profile, file paperwork, and get the product out. Paying people and companies to help is not a partnership. It is a fee-for-service relationship. These are good. Partnerships can be “interesting.” And culture is critical. In a market, one has to identify a market. Each market has a profile. It is common sense to match the product or service to each market’s profile. Apple cannot sell an iPhone to a person who cannot afford to pay for connectivity, buy apps or music, or plug the gizmo in. (I am aware that some iPhone users steal them and just pretend, but those are potential customers, not “real” customers.)
Where does technology fit into this conference? It is the problem organizations face. It is also the 10th word in the essay. I learned “… the technology landscape continues to evolve at an accelerating page.” Where’s smart software? Where’s non-democratic innovation? Where’s informed resolution of conflict?
What about smart software, AI, or artificial intelligence? Two mentions: One expert at the conference invests in AI and in this sentence:
As AI, regulation and societal expectations evolve, the winners will be those who anticipate change and act with conviction.
I am not sure regulation, partnership, and coping with culture can do the job. As for AI, I think funding and pushing out products and services capture the zeitgeist.
Stephen E Arnold, August 1, 2025
Decentralization: Nope, a Fantasy It Seems
July 25, 2025
Just a dinobaby working the old-fashioned way, no smart software.
Web 3, decentralization, graceful fail over, alternative routing. Are these concepts baloney? I think the idea that the distributed approach to online systems is definitely not bullet proof.
Why would I, an online person, make such a statement? I read “Cloudflare 1.1.1.1 Incident on July 14, 2025.” I know a number of people who know zero about Cloudflare. One can argue that AT&T, Google, Microsoft, et al are the gate keepers of the online world. Okay, that sounds great. It is sort of true.
I quote from the write up:
For many users, not being able to resolve names using the 1.1.1.1 Resolver meant that basically all Internet services were unavailable.
The operative word is “all.”
What can one conclude if this explanation of a failure of “legacy” systems can be pinned on a “configuration error.”? Some observations:
- A bad actor able to replicate this can kill the Internet or at least Cloudflare’s functionality
- The baloney about decentralization is just that… baloney. Cheap words packed in a PR tube and “sold” as something good
- The fail over and resilience assertions? Three-day old fish. Remember Ben Franklin’s aphorism: Three-day old fish smell. Badly.
Net net: We have evidence that the reality of today’s Internet rests in the semi capable hands of certain large companies. Without real “innovation,” the centralization of certain functions will have wide spread and unexpected impacts. Yep, “all,” including the bad actors who make use of these points of concentration. The Cloudflare incident may motivate other technically adept groups to find a better way. Perhaps something in the sky like satellites or on the ground like device to device wireless? I wonder if adversaries of the US have noticed this incident?
Stephen E Arnold, July 25, 2025
Software Issue: No Big Deal. Move On
July 17, 2025
No smart software involved with this blog post. (An anomaly I know.)
The British have had some minor technical glitches in their storied history. The Comet? An airplane, right? The British postal service software? Let’s not talk about that. And now tennis. Jeeves, what’s going on? What, sir?
“British-Built Hawk-Eye Software Goes Dark During Wimbledon Match” continues this game where real life intersects with zeros and ones. (Yes, I know about Oxbridge excellence.) The write up points out:
Wimbledon blames human error for line-calling system malfunction.
Yes, a fall person. What was the problem with the unsinkable ship? Ah, yes. It seemed not to be unsinkable, sir.
The write up says:
Wimbledon’s new automated line-calling system glitched during a tennis match Sunday, just days after it replaced the tournament’s human line judges for the first time. The system, called Hawk-Eye, uses a network of cameras equipped with computer vision to track tennis balls in real-time. If the ball lands out, a pre-recorded voice loudly says, “Out.” If the ball is in, there’s no call and play continues. However, the software temporarily went dark during a women’s singles match between Brit Sonay Kartal and Russian Anastasia Pavlyuchenkova on Centre Court.
Software glitch. I experience them routinely. No big deal. Plus, the system came back online.
I would like to mention that these types of glitches when combined with the friskiness of smart software may produce some events which cannot be dismissed with “no big deal.” Let me offer three examples:
- Medical misdiagnoses related to potent cancer treatments
- Aircraft control systems
- Financial transaction in legitimate and illegitimate services.
Have the British cornered the market on software challenges? Nope.
That’s my concern. From Telegram’s “let our users do what they want” to contractors who are busy answering email, the consequences of indifferent engineering combined with minimally controlled smart software is likely to do more than fail during a tennis match.
Stephen E Arnold, July 17, 2025
An AI Wrapper May Resolve Some Problems with Smart Software
July 15, 2025
No smart software involved with this blog post. (An anomaly I know.)
For those with big bucks sunk in smart software chasing their tail around large language models, I learned about a clever adjustment — an adjustment that could pour some water on those burning black holes of cash.
A 36 page “paper” appeared on ArXiv on July 4, 2025 (Happy Birthday, America!). The original paper was “revised” and posted on July 8, 2025. You can read the July 8, 2025, version of “MemOS: A Memory OS for AI System” and monitor ArXiv for subsequent updates.
I recommend that AI enthusiasts download the paper and read it. Today content has a tendency to disappear or end up behind paywalls of one kind or another.
The authors of the paper come from outfits in China working on a wide range of smart software. These institutions explore smart waste water as well as autonomous kinetic command-and-control systems. Two organizations funding the “authors” of the research and the ArXiv write up are a start up called MemTensor (Shanghai) Technology Co. Ltd. The idea is to take good old Google tensor learnings and make them less stupid. The other outfit is the Research Institute of China Telecom. This entity is where interesting things like quantum communication and novel applications of ultra high frequencies are explored.
The MemOS is, based on my reading of the paper, is that MemOS adds a “layer” of knowledge functionality to large language models. The approach remembers the users’ or another system’s “knowledge process.” The idea is that instead of every prompt being a brand new sheet of paper, the LLM has a functional history or “digital notebook.” The entries in this notebook can be used to provide dynamic context for a user’s or another system’s query, prompt, or request. One application is “smart wireless” applications; another, context-aware kinetic devices.
I am not sure about some of the assertions in the write up; for example, performance gains, the benchmark results, and similar data points.
However, I think that the idea of a higher level of abstraction combined with enhanced memory of what the user or the system requests is interesting. The approach is similar to having an “old” AS/400 or whatever IBM calls these machines and interacting with them via a separate computing system is a good one. Request an output from the AS/400. Get the data from an I/O device the AS/400 supports. Interact with those data in the separate but “loosely coupled” computer. Then reverse the process and let the AS/400 do its thing with the input data on its own quite tricky workflow. Inefficient? You bet. Does it prevent the AS/400 from trashing its memory? Most of the time, it sure does.
The authors include a pastel graphic to make clear that the separation from the LLM is what I assume will be positioned as an original, unique, never-before-considered innovation:
Now does it work? In a laboratory, absolutely. At the Syracuse Parallel Processing Center, my colleagues presented a demonstration to Hillary Clinton. The search, text, video thing behaved like a trained tiger before that tiger attacked Roy in the Siegfried & Roy animal act in October 2003.
Are the data reproducible? Good question. It is, however, a time when fake data and synthetic government officials are posting videos and making telephone calls. Time will reveal the efficacy of the ‘breakthrough.”
Several observations:
- The purpose of the write up is a component of the China smart, US dumb marketing campaign
- The number of institutions involved, the presence of a Chinese start up, and the very big time Research Institute of China Telecom send the message that this AI expertise is diffused across numerous institutions
- The timing of the release of the paper is delicious: Happy Birthday, Uncle Sam.
Net net: Perhaps Meta should be hiring AI wizards from the Middle Kingdom?
Stephen E Arnold, July 15, 2025
Hot Bots Bite
July 3, 2025
![Dino 5 18 25_thumb[3]](https://www.arnoldit.com/wordpress/wp-content/uploads/2025/06/Dino-5-18-25_thumb3.gif "Dino 5 18 25_thumb[3]")
No smart software involved. Just an addled dinobaby.
I read “Discord is Threatening to Shutdown BotGhost: The Ensh*ttification of Discord.” (I really hate that “ensh*t neologism.) The write up is interesting. If you know zero about bots, just skip it. If you do know something about bots in “walled gardens.” Take a look. The use of software robots which are getting smarter and smarter thanks to “artificial intelligence” will emerge, morph, and become vectors for some very exciting types of online criminal activity. Sure, bots can do “good,” but most people with a make-money-fast idea will find ways to botify online crime. With crypto currency scoped to be an important part of “everything” apps, excitement is just around the corner.
However, I want to call attention to the comments section of Hacker News. Several of the observations struck me as germane to my interests in bots purpose built for online criminal activity. Your interests are probably different from mine, but here’s a selection of the remarks I found on point for me:
- throwaway7679 posts: [caps in original] “NEITHER DISCORD NOR ITS AFFILIATES, SUPPLIERS, OR DISTRIBUTORS MAKE ANY SPECIFIC PROMISES ABOUT THE APIs, API DATA, DOCUMENTATION, OR ANY DISCORD SERVICES. The existence of terms like this make any discussion of the other terms look pretty silly. Their policy is simply that they do whatever they want, and that hasn’t changed.”
- sneak posts: “Discord has the plaintext of every single message ever sent via Discord, including all DMs. Can you imagine the value to LLM companies? It’s probably the single largest collection of sexting content outside of WeChat (and Apple’s archive of iCloud Backups that contain all of the iMessages).”
- immibis posts: “Reddit is more evil than Discord IMO – they did this years ago, tried to shut down all bots and unofficial apps, and they heavily manipulate consensus opinion, which Discord doesn’t as far as I know.”
- macspoofing posts: “…For software platforms, this has been a constant. It happened with Twitter, Facebook, Google (Search/Ads, Maps, Chat), Reddit, LinkedIn – basically ever major software platform started off with relatively open APIs that were then closed-off as it gained critical mass and focused on monetization.”
- altairprime posts: “LinkedIn lost a lawsuit about prohibiting third parties tools from accessing its site, Matrix has strong interop, Elite Dangerous offers OAuth API for sign-in and player data download, and so on. There are others but that’s sixty seconds worth of thinking about it. Mastodon metastasized the user store but each site is still a tiny centralized user store. That’s how user stores work. Doesn’t mean they’re automatically monopolistic. Discord’s taking the Reddit-Apollo approach to forcing them offline — half-assed conversations for months followed by an abrupt fuck-you moment with little recourse — which given Discord’s free of charge growth mechanism, means that — just like Reddit — they’re likely going to shutdown anything by that’s providing a valuable service to a significant fraction of their users, either to Sherlock and charge money for it, or simply to terminate what they view as an obstruction.”
Several observations:
- Telegram not mentioned in the comments which I reviewed (more are being added, but I am not keeping track of these additions as of 1125 am US Eastern on June 25, 2025)
- Bots are a contentious type of software
- The point about the “value” of messages to large language models is accurate.
Stephen E Arnold, July 3, 2025
Read This Essay and Learn Why AI Can Do Programming
July 3, 2025
![dino-orange_thumb_thumb_thumb_thumb_[1]_thumb_thumb_thumb_thumb](https://www.arnoldit.com/wordpress/wp-content/uploads/2025/06/dino-orange_thumb_thumb_thumb_thumb_1_thumb_thumb_thumb_thumb.gif "dino-orange_thumb_thumb_thumb_thumb_[1]_thumb_thumb_thumb_thumb")
No AI, just the dinobaby expressing his opinions to Zillennials.
I, entirely by accident since Web search does not work too well, an essay titled “Ticket-Driven Development: The Fastest Way to Go Nowhere.” I would have used a different title; for example, “Smart Software Can Do Faster and Cheaper Code” or “Skip Computer Science. Be a Plumber.” Despite my lack of good vibe coding from the essay’s title, I did like the information in the write up. The basic idea is that managers just want throughput. This is not news.
The most useful segment of the write up is this passage:
You don’t need a process revolution to fix this. You need permission to care again. Here’s what that looks like:
- Leave the code a little better than you found it — even if no one asked you to.
- Pair up occasionally, not because it’s mandated, but because it helps.
- Ask why. Even if you already know the answer. Especially then.
- Write the extra comment. Rename the method. Delete the dead file.
- Treat the ticket as a boundary, not a blindfold.
Because the real job isn’t closing tickets it’s building systems that work.
I wish to offer several observations:
- Repetitive boring, mindless work is perfect for smart software
- Implementing dot points one to five will result in a reprimand, transfer to a salubrious location, or termination with extreme prejudice
- Spending long hours with an AI version of an old-fashioned psychiatrist because you will go crazy.
After reading the essay, I realized that the managerial approach, the “ticket-driven workflow”, and the need for throughput applies to many jobs. Leadership no longer has middle managers who manage. When leadership intervenes, one gets [a] consultants or [b] knee-jerk decisions or mandates.
The crisis is in organizational set up and management. The developers? Sorry, you have been replaced. Say, “hello” to our version of smart software. Her name is No Kidding.
Stephen E Arnold, July 3, 2025
Palantir Rattles the Windows in the Nuclear Industry
June 30, 2025
![Dino 5 18 25_thumb[3]_thumb_thumb](https://www.arnoldit.com/wordpress/wp-content/uploads/2025/06/Dino-5-18-25_thumb3_thumb_thumb-1.gif "Dino 5 18 25_thumb[3]_thumb_thumb")
This dinobaby asked ChatGPT about Palantir. Interesting output.
“Palantir Partners to Develop AI Software for Nuclear Construction” caught me by surprise. I did not think the company founded in 2003 was an artificial intelligence company with expertise in the nuclear field. The cited article reports:
Palantir Technologies on Thursday [June 26, 2025] said it was teaming up with a nuclear deployment company to develop an artificial intelligence-driven software system built for the construction of nuclear reactors.
I have paid much attention to Palantir, but I did own a small amount of Palantir stock but I dumped it.
Screenshot of the ChatGPT output on June 27, 2025, at 855 am US Eastern
Today I wanted to refresh my memory about the company. I navigated to OpenAI’s ChatGPT and plugged in key words and this is what the Sam Altman system generated for me. Note: It is unlikely that the ChatGPT system can output the same report because probability doesn’t work the way users of the system think it does.
Remember: The quoted passage is copied directly from the ChatGPT response. ChatGPT told me:
Palantir Technologies has a pattern of circumventing formal processes, pushing ethical boundaries, and leveraging aggressive public-private tactics to secure influence—particularly within U.S. defense and intelligence communities.
Here is a structured explanation of why such behaviors have been downplayed or ignored:
1. Operational Utility Overrides Bureaucratic Violations
- In Afghanistan and Iraq, Palantir’s software reportedly delivered immediate tactical value in identifying IED networks and improving situational awareness.
- By deploying software and engineers directly to the field without formal contracts, Palantir created facts on the ground—a working product that soldiers wanted, and field commanders endorsed.
- Pentagon leadership faced a dilemma: challenge Palantir for its violations or continue using a system that operators said worked better than the legacy alternatives (e.g., DCGS-A).
- This “bottom-up demand” shielded Palantir from early procurement blowback.
2. Information Warfare and Lobbying
- Palantir conducted a calculated media and lobbying campaign targeting the Distributed Common Ground System–Army (DCGS-A, also referred to as D-CIGS).
- By discrediting IBM and other legacy defense contractors, Palantir positioned itself as the modern, Silicon Valley alternative.
- This messaging resonated with Congress, think tanks, and parts of the press, framing Palantir as a disruptor, not a rule-breaker.
- Lobbying disclosures show Palantir spent millions courting lawmakers and decision-makers.
3. Legal Maneuvering and Settlements
- In both the i2 lawsuit and the 2016 bid protest against the Army over DCGS-A, Palantir used the courts to shape procurement rules in its favor.
- The Court of Federal Claims sided with Palantir in 2016, affirming that the Army violated federal acquisition regulations by excluding commercial solutions from its process ([Palantir USG v. United States, 129 Fed. Cl. 218 (2016)]). This set a precedent that indirectly legitimized Palantir’s aggressive tactics.
4. Shift in Public Attention and National Security Prioritization
- Post-2016, the focus of public scrutiny shifted toward big tech’s relationship with consumer data, not defense contractors.
- Palantir successfully repositioned itself as a key player in pandemic response, immigration enforcement, and border security—domains where national interest arguments silence criticism.
- The company also leaned into its identity as a pro-Western, anti-authoritarian force, which further insulated it from deeper ethical scrutiny.
5. Opacity and Media Fatigue
- Palantir operates in classified and compartmented environments, which makes investigation difficult.
- Many journalists lack the access or technical background to track the nuance of procurement violations or reverse engineering disputes.
- After years of unresolved criticism, media fatigue set in—journalists moved on, and watchdog groups prioritized new targets (e.g., TikTok, Clearview AI, etc.).
Conclusion:
Palantir’s avoidance of procurement law, unauthorized deployments, and its aggressive discrediting of rivals like IBM/i2 have been documented but neutralized by its strategic utility, legal successes, lobbying efforts, and narrative control. The firm masks tactical rule-breaking with patriotic branding, which has proved highly effective in suppressing deeper accountability.
True, false, reality, or hallucinatory? I don’t know. Nuclear in the context of this ChatGPT output that suggests the Palantir outfit is definitely operating in a very interesting manner. What would Palantir’s AI say about the company?
Stephen E Arnold, June 30, 2025
US Science Conferences: Will They Become an Endangered Species?
June 26, 2025
Due to high federal budget cuts and fears of border issues, the United States may be experiencing a brain drain. Some smart people (aka people tech bros like to hire) are leaving the country. Leadership in some high profile outfits are saying, ““Don’t let the door hit you on the way out.” Others get multi-million pay packets to remain in America.
Nature.com explains more in “Scientific Conferences Are Leaving The US Amid Border Fears.” Many scientific and academic conferences were slated to occur in the US, but they’ve since been canceled, postponed, or moved to other venues in other countries. The organizers are saying that Trump’s immigration and travel policies are discouraging foreign nerds from visiting the US. Some organizers have rescheduled conferences in Canada.
Conferences are important venues for certain types of professionals to network, exchange ideas, and learn the alleged new developments in their fields. These conferences are important to the intellectual communities. Nature says:
The trend, if it proves to be widespread, could have an effect on US scientists, as well as on cities or venues that regularly host conferences. ‘Conferences are an amazing barometer of international activity,’ says Jessica Reinisch, a historian who studies international conferences at Birkbeck University of London. ‘It’s almost like an external measure of just how engaged in the international world practitioners of science are.’ ‘What is happening now is a reverse moment,’ she adds. ‘It’s a closing down of borders, closing of spaces … a moment of deglobalization.’”
The brain drain trope and the buzzword “deglobalization” may point to a comparatively small change with longer term effects. At the last two specialist conferences I attended, I encountered zero attendees or speakers from another country. In my 60 year work career this was a first at conferences that issued a call for papers and were publicized via news releases.
Is this a loss? Not for me. I am a dinobaby. For those younger than I, my hunch is that a number of people will be learning about the truism “If ignorance is bliss, just say, ‘Hello, happy.’”
Whitney Grace, June 26, 2025
Big AI Surprise: Wrongness Spreads Like Measles
June 24, 2025
An opinion essay written by a dinobaby who did not rely on smart software .
Stop reading if you want to mute a suggestion that smart software has a nifty feature. Okay, you are going to read this brief post. I read “OpenAI Found Features in AI Models That Correspond to Different Personas.” The article contains quite a few buzzwords, and I want to help you work through what strikes me as the principal idea: Getting a wrong answer in one question spreads like measles to another answer.
Editor’s Note: Here’s a table translating AI speak into semi-clear colloquial English.
| Term | Colloquial Version |
| Alignment | Getting a prompt response sort of close to what the user intended |
| Fine tuning | Code written to remediate an AI output “problem” like misalignment of exposing kindergarteners to measles just to see what happens |
| Insecure code | Software instructions that create responses like “just glue cheese on your pizza, kids” |
| Mathematical manipulation | Some fancy math will fix up these minor issues of outputting data that does not provide a legal or socially acceptable response |
| Misalignment | Getting a prompt response that is incorrect, inappropriate, or hallucinatory |
| Misbehaved | The model is nasty, often malicious to the user and his or her prompt or a system request |
| Persona | How the model goes about framing a response to a prompt |
| Secure code | Software instructions that output a legal and socially acceptable response |
I noted this statement in the source article:
OpenAI researchers say they’ve discovered hidden features inside AI models that correspond to misaligned “personas”…
In my ageing dinobaby brain, I interpreted this to mean:
We train; the models learn; the output is wonky for prompt A; and the wrongness spreads to other outputs. It’s like measles.
The fancy lingo addresses the black box chock full of probabilities, matrix manipulations, and layers of synthetic neural flickering ability to output incorrect “answers.” Think about your neighbors’ kids gluing cheese on pizza. Smart, right?
The write up reports that an OpenAI interpretability researcher said:
“We are hopeful that the tools we’ve learned — like this ability to reduce a complicated phenomenon to a simple mathematical operation — will help us understand model generalization in other places as well.”
Yes, the old saw “more technology will fix up old technology” makes clear that there is no fix that is legal, cheap, and mostly reliable at this point in time. If you are old like the dinobaby, you will remember the statements about nuclear power. Where are those thorium reactors? How about those fuel pools stuffed like a plump ravioli?
Another angle on the problem is the observation that “AI models are grown more than they are guilt.” Okay, organic development of a synthetic construct. Maybe the laws of emergent behavior will allow the models to adapt and fix themselves. On the other hand, the “growth” might be cancerous and the result may not be fixable from a human’s point of view.
But OpenAI is up to the task of fixing up AI that grows. Consider this statement:
OpenAI researchers said that when emergent misalignment occurred, it was possible to steer the model back toward good behavior by fine-tuning the model on just a few hundred examples of secure code.
Ah, ha. A new and possibly contradictory idea. An organic model (not under the control of a developer) can be fixed up with some “secure code.” What is “secure code” and why hasn’t “secure code” be the operating method from the start?
The jargon does not explain why bad answers migrate across the “models.” Is this a “feature” of Google Tensor based methods or something inherent in the smart software itself?
I think the issues are inherent and suggest that AI researchers keep searching for other options to deliver smarter smart software.
Stephen E Arnold, June 24, 2025
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