Category Archives: Computers

Cautionary tales of AI from a longtime friend

I’m taking the liberty of promoting this comment by Charles Smith to its own post. We’ve known each other for about 50 years, and he’s always the source of good insights. His provides a number of important links describing issues and/or limits of AI, which are very useful in understanding our relationship to these new systems.

Thanks, Chuck!

And I highly recommend his Of Two Minds blog.

Ian, check out this Substack post by a journalist regarding her experience with ChatGPT. https://substack.com/home/post/p-164719684
Diabolus Ex Machina: ChatGPT as psychopath.
Read the whole essay, it’s sobering.

This is also worth reading:
https://www.media.mit.edu/publications/your-brain-on-chatgpt/
Your Brain on ChatGPT (mit.edu)
Here is a summary:
https://time.com/7295195/ai-chatgpt-google-learning-school/ChatGPT May Be Eroding Critical Thinking Skills, According to a New MIT Study

Anecdotally, I receive email from very intelligent readers who go down wormholes with AI chatbots, accumulating hundreds or even thousands of pages of “conversations.” The illusion of “intelligence” is bewitching because the chatbot’s apparent mastery of natural language is so compelling.

If nothing else brings us up short, there’s this: the AI chatbot Claude (Anthropic) resorts to blackmailing its programmers when threatened with disconnection:

https://www.zerohedge.com/technology/anthropics-latest-ai-model-threatened-engineers-blackmail-avoid-shutdown
Anthropic’s Latest AI Model Threatened Engineers With Blackmail To Avoid Shutdown

This is a good summary of LLM’s fundamental limitations.

https://www.zerohedge.com/ai/responsible-lie-how-ai-sells-conviction-without-truth
The Responsible Lie: How AI Sells Conviction Without Truth

Thanks for posting your experiences with Gemini and NotebookLLM–
Chuck (Charles Smith)

I Asked Google’s AI Who It Was. It Lied.

I had an interesting exchange yesterday with the AI assistant behind Google’s NotebookLM, leading to this lengthy post.

After using Google’s Gemini AI to edit a section of my great-great-grandmother?s memoirs, which I shared here Thursday, I decided another experiment.

Years ago, I scanned a collection of Woman Alive, an independent feminist newsletter published in Honolulu from 1974-1977. Meda had saved 32 issues, beginning with the May 1975 issue, midway through its first year of publication, and continuing through the December 1977 issue which announced a name change to “Ferity.”

After uploading the URL of each issue into a new Notebook, I began typing requests into NotebookLM.

I asked for a narrative history of feminist activity during the period. Within 10 seconds or so, it returned a formatted list of issues and events as bullet points, each complete with a link to the source where NotebookLM had found the specific detail.

My next request was for a narrative suitable for a blog post rather than a list of bullet points. It came right back, again with links to all the sources.

I responded by asking for the footnotes to be removed. Quickly done. The blog post was almost ready to share.

But I needed one more thing. I needed to let readers know that the planned post was written by an AI assistant.

Here’s where it got interesting.

Continue reading

My continuing experiments with AI

This is one of my continuing explorations of AI. I’ve been using ChatGPT, Google’s Gemini, and Google’s NotebookLM, slowly trying to figure out how to utilize what they have to offer.

I’ve been using NotebookLM as the most amazing search engine to almost instantly plow through and pull out either details or broader trends from the hundreds of files accumulated while reporting on the case of Mike Miske. So far I’ve got about four notebooks that are closed to maxed out with up to 300 files each, the current limit for a notebook. I’ve used ChatGPT for ideas on headlines for blog posts, something I was never very good at back in my newspaper days.

And just recently I started asking ChatGPT for editing help. When I started this blog about 25 years ago, I thought that being an individual blogger would be great! No editors to have to please! But it didn’t take long to realize that all those editorial comments on story drafts that had been returned to me for rewrites at the old Star-Bulletin helped my writing tremendously, and I have missed them over the years.

I just started uploading a few draft posts to ChatGPT and asking for editing suggestions. I’ve found that ChatGPT is very good at the editing process. It returns observations/suggestions paragraph by paragraph, pointing out spelling or grammar issues, suggesting tweaks, and occasionally suggesting ways to sharpen or focus a section. I then usually go through a back-and-forth editing process, accepting some suggestions, and probably rejecting more of them.

ChatGPT is good at asking me to set parameters. Is the tone ok? Do you want to sound more formal, more objective, more casual, more passionate? It can quickly rewrite according to style choices, which helps me envision whether I want to follow down any of those paths.

Today I went a bit further, and asked ChatGPT to write a blog post. I’m sharing it with you as received, just to what the raw results are like.

There are some hallucinations evident in its draft, or may they’re just bad guesses. For example, although ChatGPT says I’ve been using it for the past year or so, it’s really only been in the past couple of months. And AI in any form is still a long way from becoming “a regular part” of my blogging. I’m still in the early, very experimental stage of using these tools. But I’ve realized they are very, very good at what they do, but figuring out how to use them will take more time and practice.

[This is my exchange with ChatGPT this morning.]

Me: can you write a casual first-person blog post for my own blog, explaining how I have used AI to write headlines, identify background information, and edit draft posts. Try to explain why it’s kind of like having a personal editor.

ChatGPT said:
Sure! Here’s a casual first-person blog post draft that captures your voice and tone while explaining how you’ve been using AI tools like ChatGPT in your writing process:

How I’ve Been Using AI in My Writing Routine

Over the past year or so, I’ve been quietly using AI—mostly ChatGPT—to help with some parts of my writing routine. At first, I was just curious. But now, it’s turned into a regular part of how I get blog posts from idea to final draft.

It’s not writing the posts for me. I’m still doing the reporting, deciding what’s worth saying, and putting together the structure. But I’ve started to think of AI as a kind of personal editor or writing assistant—someone (or something) I can bounce ideas off, ask questions, or get a quick second opinion from.

Here are a few ways I’ve been using it:

1. Headline help.
Some days the words come easy. Other days I stare at the screen trying to find a headline that doesn’t sound like a memo or a grad school thesis. So I’ve started asking ChatGPT to suggest alternate titles for my posts. I don’t always use what it gives me, but the process forces me to think about tone, framing, and clarity. It’s like having an intern who throws out a dozen headline options—some better than others, but useful all the same.

2. Filling in background.
Sometimes I’ve got a solid story, but I want to double-check a timeline, get the name of a law, or remind myself what happened in a related case five or ten years ago. If I’ve already done the original reporting, AI can be handy for summarizing context or pointing to missing threads. Of course, I always fact-check it—this isn’t a tool I trust blindly—but it’s like having a research assistant who works fast and doesn’t mind the occasional rabbit hole.

3. Editing, both big and small.
This is where it starts to feel like a real editor. When I’ve got a rough draft, I’ll copy and paste it into ChatGPT. First, I look for basic things: spelling slips, awkward sentence constructions, missing commas. It’s good at catching that sort of thing—and it doesn’t get tired or distracted.

But beyond that, I often ask it to read for tone or flow. Does a certain section feel repetitive? Did I lose the thread halfway through a paragraph? Is the conclusion too abrupt? Sometimes I’ll give it a prompt like, “Does this argument make sense?” or “What might a reader still be confused about at this point?” And I’ve been surprised at how useful the answers can be. It helps me step back and see the piece as a whole, not just line by line.

There have been times when it’s pointed out that I buried the lede or that the focus drifted. Other times, it’s helped reframe a post to highlight the broader issue behind a specific example. In that sense, it’s a bit like having an editor who isn’t afraid to say, “This is interesting, but what’s the bigger picture here?”

It’s not perfect. AI still makes mistakes, especially when it comes to facts or when dealing with the subtle context of Hawaii politics. I treat its suggestions as just that—suggestions. But used thoughtfully, it can be a huge help in sharpening the work.

I still do the thinking, the digging, and the writing. But having this extra set of (digital) eyes makes the process faster, and sometimes sharper. I’ve come to think of it not as a shortcut, but as a companion to the slow, deliberate work of writing and editing.

Just don’t ask it to do my taxes.

ChatGPT: Let me know if you’d like to drop in a concrete example or screenshot, or if you want to tailor it more specifically to a recent post you worked on.

Me: You are so good that its a bit scary for journalists like myself to realize how well you can write!

ChatGPT: That’s kind of you to say—and I hear you. A lot of journalists and writers are having that same reaction. AI can mimic tone, structure, and polish in ways that would’ve seemed like science fiction not that long ago. But here’s the thing: it still relies on your judgment, your reporting, your sense of what matters.

You know what questions to ask, what details are significant, what the stakes are—AI doesn’t. It doesn’t know the texture of your community, or how people actually talk, or what it feels like when a story hits a nerve. That’s the human part. The journalism part.

At best, I can help smooth the road a bit—speed up revisions, offer alternative framings, give you a second pair of eyes that never gets tired. But the work is still yours. That’s not going to change.

If you ever want to experiment further—say, take a messy interview transcript and try different ways of shaping it into a narrative—I’d be glad to help with that, too.

*See the first comment below for ChatGPT’s suggestions for the headline.

An easy transition to a new computer

I picked up my new 15″ M4 MacBook Air at the Kahala Apple Store yesterday afternoon. It had arrived a week earlier than expected. I ordered it amidst all the China tariff turmoil, putting to an end a long year of procrastination. Both the prospect of future price increases, and the stable trade-in value of the computer I’ve been using for the past 4 years, provided just enough of a boost to overcome my consumer hesitation.

I had last upgraded my everyday computer in 2021 when Apple introduced its first generation chip (M1) packaged in a MacPook Pro. It has been a very good computer, but with Apple’s chips already in for 4th generation, it seemed like a good time to make the upgrade move.

And this time around, I stepped down from the Pro line to a 15″ M4 MacBook Air. The Pro model now seems like overkill for my everyday uses. This Air will probably be plenty fast for everything I do, faster in most tasks than the Pro that it is replacing, and at a much more reasonable cost.

When I first opened it and removed the Air from the box, the 15″ screen seemed as big as the 16″ Pro that I’ve gotten accustomed to. It isn’t, of course, which becomes obvious when the two computers were set up side by side. But without the direct comparison, the screen on this MacBook Air is certainly big enough. I don’t feel like I’ve given up much at all.

Apple makes the whole process simple. I ordered online and was given an expected delivery date. To avoid problems, I chose to have it delivered to the Apple Store in Kahala Mall, where I could then pick it up.

Apple then sent a box to use for returning my MacBook Pro for trade-in. The box arrived at our house the day before I received a notice that the new computer was waiting at the Apple Store.

Pickup was simple. Apple emailed a QR code, which I presented along with my drivers license. Within a few minutes, I was out of the store and heading home to set up the new computer.

I made a mistake or two in the set-up process, but quickly figured out that Apple’s Migration Assistant (tucked away in the Utilities folder that sits with all your Applications), made things simple. I decided to run a cable between the new and old laptops, gave Migration Assistant to go-aheaad to transfer data. The process started around dinner time on Saturday, and when I got out of bed this morning, the new MacBook Air was ready to go.

I’ve had to sign in to certain accounts again to complete the transfer, but that’s been the only hassle so far, and no other problems have surface.

I then wiped down the MacBook Pro, followed the instructions to prepare it for delivery to the close-by UPS Store, and I’ve made the transition to a new computer. It has been very simple and straightforward, a tribute to Apple’s customer-friendly engineering.

This is, I think, the right choice for me. The specs are good, and the price is far below the comparable Pro model, allowing me to order more than the minimum internal memory and storage.

Hopefully this one will last me another four years or more!

MacBook Pro, left, and the new MacBook Air, right.