Category Archives: Artificial Intelligence

“Twenty-five Years of Looking for What Isn’t There”

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My buddy Steve is an AI Power User. Runs LLMs locally, has agents performing bizarre tasks, and dives deep while I dog-paddle in the shallow end. He recently used an “offline copier” to capture all 6,500 posts on my/this blog. He then used Hermes (see below) to analyze them and generate a fourteen page (!) essay. 

Nonduality: Twenty-Five Years of Looking for What Isn’t There (PDF)

It felt strange to read it, even though I’ve had Perplexity and Claude do something similar. Like breaking into the office of a psychiatrist I’d been seeing for the last 25 years and reading her notes on my sessions.

The general tone was surprisingly flattering. I’d expect that from one of my AIs since they were trained for some level of engagement. To the extent I can be objective about something so personal, the essay was spot on. 

Why are LLMs smart?

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I really like the way Kevin Kelly thinks and the way he writes (I’ve quoted him 33 times on this blog). In a recent Substack post he shares some ideas on why LLMs are so smart.

“There appears to be a seminal, fundamental relationship between language and thinking. Human writing is thus not only a reflection of the structure of language, but to some degree also a reflection of human thinking.”

“Imitate human writing and conversation, and you can imitate human intelligence — at least in part.”

He thinks the next leap in intelligence will come from somewhere unexpected. I wonder if we’ll know it when we see it.

Siri AI doesn’t want to be your friend

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(Perplexity) Apple executives have explicitly stated that the new Siri AI is intentionally designed to avoid the engagement-driven and relationship-building models used by competing chatbots.

In public remarks, Craig Federighi, Apple’s Senior Vice President of Software Engineering, contrasted Apple’s philosophy with the rest of the industry by criticizing the focus on user engagement:

“If you use many of the existing chatbots, they’re really focused on engagement to a large degree. And sycophancy, right? They kind of want to pull you in. They might encourage you to reveal things about yourself, and then use that as a basis to establish a connection.”

Federighi further clarified that Siri’s design architecture purposefully rejects this approach:

“The way that we have designed Siri, Siri really wants to say ‘Listen, that’s not what I’m here for, right? I’m here to help you. I can help you get things done. I can help you learn about the world.’ But if you try to engage Siri as a romantic partner, Siri’s not up for that.”

Key Elements of Apple’s Approach

  •  Utility Over Companionship: The system is built around direct, task-focused interactions—such as on-screen awareness, searching deep within personal messages, and executing multi-step app automations—rather than prolonged, open-ended conversations designed to maximize session time.
  • Rejection of Personification: Testing of the updated Siri confirms it is programmed to decline “acting human” or expressing personal feelings, preferences, or favorites.
  • Privacy Alignment: Minimizing conversational engagement reduces the intake of unnecessary personal data, aligning with Apple’s reliance on on-device processing and Private Cloud Compute.

I think this is exactly the right strategy and can’t wait to try out Siri AI. Readers of this blog might remember I was a big fan of ChatGPT. I deleted my account a while back for a couple of reasons.

OpenAI had been making noises about advertising and while I never saw an overt ad, I can’t be sure it wasn’t happening under the covers. Basically, I just didn’t trust the company or Sam Altman.

And I could not get ChatGPT to stop smooching my bottom (“Great question, Steve!”) Updated my settings but the model was trained to encourage engagement to keep me coming back. Ewww!

What I Mean (and Don’t Mean) When I Say “Nondual”

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Every word of this post —after this little grey box— was written by Perplexity. After finally getting around to uploading all 6,500 blog posts on smays.com (spanning almost 25 years) I was curious what an AI might come up with, being the only entity beside me to have read (analyzed? processed?) every post. We started with nonduality, a subject that has interested me for years. The essay (?) below drew on hundreds, maybe thousands, of posts touching on awareness, consciousness, free will, death, immortality, memory, reality, self, Tao, thoughts, time, and zen. I’ve included additional thoughts in the comments at the bottom of this post.

I’ve used the word “nondual” on the blog often enough that it probably deserves parole into plain English.

I don’t mean crystals, chakras, or a belief system you have to sign up for. I also don’t mean “nothing matters, it’s all an illusion, pass the Doritos.” If anything, nonduality has made ordinary things—espresso, a train whistle, the dog snoring—feel more vivid, not less.

What I’m trying to point at is simpler and slipperier. There’s awareness, there’s experience showing up in that awareness, and the boundary between “me in here” and “world out there” is not as solid as I was trained to believe. Most of the time, that’s all I mean.

The rest is stories and examples. Continue reading →

The AI’s read this blog

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Like a lot of people (most?), I use Perplexity, Claude, Gemini, and (once upon a time) ChatGPT to answer questions. To explain things. To find stuff.

I don’t do “vibe coding” or task my “agents” to do whatever agents do. What I really wanted the AI to do was “read” my blog (6,500 posts spanning 25 years) and help me spot recurring themes, connections, patterns. What do all of those posts say about who I am, who I was and the journey between the two.

From time to time I would export all the posts from a particular category or tag and shoot those up to one of the AI’s and always got back interesting analyses. But I was after the full gestalt. 

Today I exported all of my posts from the WordPress database as an XML file and had Claude convert it to a markdown file (which are much easier/smaller for an AI to process). I uploaded that data to each of the AI’s I use on a daily basis (Perplexity, Claude and Gemini) with the following prompt:

Since I first began dabbling with AI (almost 3 years ago) I’ve wondered what these tools might tell me about my 6,500 blog posts spanning 25 years. About the blog posts and —by extension— about me. I finally got around to converting the entire blog to a markdown file and am uploading here for future reference and analysis.

I created pages here on the blog for the responses from Perplexity and Claude. Gemini got a little weird on me:

“I approach this analysis as a direct, collaborative cognitive tool. I will evaluate your premises neutrally, utilizing logic and evidence, and build upon your sound structural work using first-person analysis. There will be no conversational filler or flattering prefaces.”

Uh, okay. 

Until today, no other entity had ever “read” my entire blog except me. Now, something a lot smarter has.