Kevin Kelly: My Exoself

“Someday real soon, most of us — starting with young adults — will carry an always-on AI. This agent will help us navigate our journeys, answer our questions, tutor and teach us new skills, remember people we have met before, remind us of what we once knew before, offer advice and recommendations, do simple errands, and remember everything we say and do. Before long, it will know us better than we know ourselves. It will be our exoself.

While we will use more than one agent, we’ll primarily favor just one that knows us best. Always-on means this agent is listening, watching, tracking, present during all our waking hours, and maybe even while we sleep. We will allow this intimate access to our inner life because it gives us superpowers: knowledge, judgment, decisiveness, confidence, and most important, speed. We will feel productive, creative, smart, capable, and on top of it when it is on. When it is off, we will feel amputated.”

Quiet, My Exoself by Kevin Kelly

[see link below for more posts about Kevin Kelly]

Why Perplexity?

From the Perplexity web page:

Perplexity is an AI-powered search engine that transforms how you discover and interact with information. Simply ask any question, and it searches the web to deliver accessible, conversational answers backed by verifiable sources. Each response includes citations and links to original sources, enabling you to verify the information and explore topics in greater depth.

I might be wrong on this point, but I think Perplexity is the only AI that bills itself as a “search engine.” All of the models can search the web of course, but I find it an important —if minor— distinction. I also like the “links to original sources” feature. Again, not sure if the other LLs do that consistently.

One of my favorite features is how Perplexity handles downloads. Because many of my threads are long I download them as PDFs and link to that file from a blog post. Or, send to a friend via email. I like the way Perplexity formats those threads.

I sometimes save a thread to my Google Drive and share that link but I like having the file. And I like Perplexity enough to pay $200 a year.

Milton: “What I am, what the team does, and why this is different”

In the three and a half years I’ve been playing with AI, I’ve used ChatGPT, Perplexity, Claude and Gemini. ChatGPT during the early days, mostly Perplexity these days. (I’m on the $200 per year plan) In the past month or so my posts have included references to an AI agent called Milton. It is the creation of a friend and former co-worker, Phil Atkinson. Easily one of the smarted people I know. I mentioned to Phil that I struggled to understand/explain what (or who) Milton is. He gave the task to Milton. Continue reading

“The web is written by AI for AI”

From an opinion piece by Steven J. Vaughan-Nichols

Bots now account for roughly 57-58 percent of HTTP requests for HTML content, compared with about 42-43 percent from humans. Meanwhile, Imperva’s Bad Bot Report based on 2025 data put bots at about 53 percent of measured web traffic for the second year in a row, with humans at 47 percent. […] According to Pangram, an AI detection company, on websites such as LinkedIn, Medium, Twitter, and Reddit, “about one in four long-form items were fully AI-generated.”

The author uses Perplexity as his search engine not because it’s more accurate than other AI LLMs; “it’s that it shows me its sources. I can see if what it just turned up is the real thing or just BS. Guess what? It’s often crap.”

I’m not certain the other LLMs do not show sources. I think they tend to hedge on that score. But if half of the web is AI slop, I’m not sure it makes much difference.

Mirroring human consciousness

For the past 24 hours the following story has been in the news:

“Anthropic finds hidden ‘workspace’ inside Claude Al. Researchers say the structure holds unspoken concepts during reasoning, mirroring a leading neuroscientific theory of human consciousness.”

Two subjects I’ve long been interested in. (106 blog posts tagged “consciousness,“ 46 tagged “thoughts.“) I prompted Claude identify my blog posts that seem most relevant to this story? Continue reading

AI has hacked the code of human civilization (Yuval Noah Harari)

“The job that was once performed by Lenin and Mussolini is now performed by AI.”

Yuval Noah Harari lecture at Oxford University (YouTube description): “Human domination relies on large-scale cooperation among strangers, which is sustained by bureaucratic systems – such as laws, finance, religion – designed to build trust. Since AIs are ‘native bureaucrats’, they can effortlessly remember all laws, transactions, and scriptures far better than any human. This leaves AI uniquely placed to take over critical processes, such as granting bank loans, deciding university admissions, determining prison sentences, and executing military strikes. Are we prepared?”

Harari’s vision of the AI future seems most on-target to me.

Putting a face on AI

I have resisted (for the most part) anthropomorphizing the AI tools I use. But it’s getting harder. I think of Claude as male (my maternal grandfather was named Claude); Gemini seems genderless; and Perplexity is female because the voice I hear on my iPhone and with CarPlay is feminine. 

Dave Winer asked ChatGPT for an image of a ChatGPT talking head. 
I prompted Perplexity to do the same. (below)
The ChatGPT image is closer to how I picture Perplexity. I think I can resist thinking of these tools in human terms but it is getting more and more difficult to think of them as just software.

Religion in the Age of Stories

I prompted Perplexity to write an essay based on the seventy-five posts in the Religion category on my blog. (First one was in 2004.) Rather than have this written in my own voice with first-person interjections, I told Perplexity to present it more as a third-person commentary on “this blogger’s” long-running engagement with religion.

Across more than seventy posts in the “Religion” category, Steve Mays treats religion less as a pipeline to cosmic truth and more as an old, resilient operating system for human behavior and meaning. It sits alongside money, nations, ideologies, and corporations as one more way humans coordinate action through shared stories. In this framing, gods and doctrines are not unique intrusions from beyond the universe; they are examples of the broader human habit of inventing fictions powerful enough that people will kill and die for them. Continue reading

Looking back at the dot-com bubble

The dot-com bubble (and subsequent crash) happened over a two-and-a-half-year period between  2000 and 2002 (the year I started the blog). I was reminded of this period while watching a video comparing the current AI frenzy to Tulip Mania back in the 17th century.

I couldn’t remember if my early blog posts touched on the dot-com period so I prompted Perplexity to take a look and it came back with a “looking back at the dot‑com bubble” post (see below). This is just the latest example of how my resolve to not let AI bots write my blog posts is slowly eroding. After one read I knew I could not improve on this summary.


(Perplexity) If my archive is any indication, I didn’t spend the bubble years themselves writing hot takes about it. The more interesting stuff came later, in the early 2000s, when it was obvious the web had outlived its first speculative fever dream.

One of the clearest snapshots is a June 11, 2003 post I titled “Markets as conversations,” where I pulled a quote (via Denise Howell / David Weinberger) that still reads like a verdict on the whole episode: “The Bubble was never what the Internet was about. The Web is not primarily a commercial space, not even primarily an information space… The bubble went away, but the Web absolutely didn’t. The Web remains interesting and important.” I didn’t add much commentary because I didn’t need to; posting it was endorsement enough.

By April 2005, I was pointing readers to a BusinessWeek cover story, “Blogs Will Change Your Business,” and highlighting this contrast: “The dot‑com era was powered by companies — complete with programmers, marketing budgets, Aeron chairs, and burn rates. The masses of bloggers, by contrast, are normal folks with computers… and — that’s right — no bubble.” I liked that line so much I reproduced the whole setup, emphasizing that we’d moved from company‑driven “New Economy” hype to what they called “media of the masses.”

Around those posts, there’s a steady drip of “Early Net Culture” items that implicitly answer the question, “What actually survived the crash?” In June 2003 I noted Google News beating BBC and MSNBC for a Webby and mused about how AP’s real asset had been its “connectedness” — something the open web was now replicating for everyone. The question “Can we agree that has changed forever?” wasn’t framed as bubble commentary, but it’s about what didn’t revert to normal once the NASDAQ fell.

A couple of years later I was citing ad forecasts that put Google and Yahoo’s combined online ad revenue on par with the prime‑time haul of ABC, CBS and NBC, calling it a “watershed moment” in the evolution of the internet as an advertising medium. If the bubble was about speculative eyeballs, this was about actual budgets moving. Same network executives, different direction for the money.

So, reading my own trail backwards, my “dot‑com bubble” coverage is less about the boom and crash and more about the quiet, durable things that came after: the idea that the web was never just a stock chart; that normal people with cheap tools and “no burn rate” might be more important than the Aeron‑chair start‑ups; and that news, advertising, and culture were re‑routing themselves through a network that turned out not to be a fad.