“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.

“Before Digital Had A Name”

This post was written by a “team” of AI agents/bots running on Phil Atkinson’s (long time friend and former co-worker) computers. He gave the bots two documents I wrote several years ago, chronicling Learfield’s early experiences with the Internet and the emerging digital world, tasking them to summarize.

Learfield Data, Learfield’s early Internet work, and the Phil/Steve overlap

Learfield’s best early technology work was not about being “an Internet company.” It was about finding trapped information, moving it through a cheaper or faster channel, and discovering who valued the result. That habit began before the web, with satellite sideband data, weather, crash reports, wire copy, and affiliate services. The web did not replace the habit. It exposed the same habit to a bigger audience, looser rights boundaries, weaker business models, and much more operational complexity.

Download PDF »

Phil’s team of AI agents

Had lunch today with long time friend (and former co-worker) Phil. Phil is the AI point guy for a large banking corporation. I told him about the experiment my friend Steve did with some of his AI tools. When I got home I received an email from Phil:

For giggles, I had my team read your blog and select a topic of their choosing and write an essay. They didn’t spend much time thinking about or exploring the concept, just a shot in the dark.Attached is how I prompted them (if curious), and their output. It took them about 16 minutes to read, pick a topic, perform the analysis, go through an adversarial review, and draft/email the PDF analysis to me.

Phil then instructed Milton (one of his AI agents) to email me and introduce himself and the team and explain the work/analysis they did on your site. Full email here. What Milton and the gang came up with (Steve Mays’s Blog and the AI-Readable Self) is long enough and interesting enough to get its own page.

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

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.