AI slop exposes fraudulent publishing offer to Australian author Mary Colussi

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AI slop exposes fraudulent publishing offer to Australian author Mary Colussi

18 August 2026

Touch Grass, the debut novel of Sydney based Australian author Mary Colussi, was published in June this year. And a fraudulent publishing deal was not too far behind. In this instance though AI slop played a part in giving the scam away.

An email sent to Colussi, apparently from a representative of a well-known publishing house in the UK, was full of praise for Touch Grass. Curiously though comments about the novel’s plot were limited only to what had been published online in its synopsis.

This despite claims by the publishing house rep that they’d read the book. Their AOL (once America Online) email address was also something of a give away, to say nothing of the request for money in exchange for a publishing deal.

While this wasn’t the best executed fraud attempt, as AI agents evolve their efforts will no doubt become more convincing. But asking an author to pay to be published would still arouse suspicion.

Traditional publishing houses do not ask writers for money, rather they pay out in the form of an advance. The objective of these scams though is catch people — particularly newcomers to the industry — off guard, and this is where they might succeed.

Is a comeback nigh for the tradie to CEO cappuccino?

18 August 2026

A few years ago I did an online coffee quiz. Highly scientific no doubt. My taste in coffee was — because I’m primarily a cappuccino drinker — adjudged to be “entry level”. Nice.

I occasionally partake of other varieties, like short black or piccolo, but they’re just a little light on coffee (and froth, and chocolate). I was surprised though to lean that Millennials, and Generation X coffee drinkers, are said to be ordering more capps recently. Gen X gets a few things right.

An article in The Sydney Morning Herald’s Good Food section, with a headline proclaiming “cappuccinos won’t give you street cred” is pay-walled — an article about cappuccinos pay-walled, what can I say? — but you can catch the gist on Good Food’s Instagram page.

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Australia, coffee, trends

AI scrapers use bogus URL tracking tags to make website visits seem legit

17 August 2026

Screenshot of disassociated.com web analytics app, showing two examples of bogus tracking tags referred to in this article.

It looks like AI scrapers have been using a surreptitious method of making their marauding presence appear legitimate, this time by appending a bogus query parameter, or tracking tag, to the URL of the webpage they are targeting.

In the last month or so, I have seen a stack of page visit items looking something like this:
https://disassociated.com/?ref=yourwebsitepage/213page/page/page/14page/16page/page/2page…

I’ve replaced the actual website name with the generic yourwebsite marker in the above example.

What is particularly insidious though, is the way the crawlers are using the names of reputable websites and blogs that have linked to disassociated in the past.

Initially I thought some of these blogs had mentioned my website again, but after having a closer look at them, this is not the case. There’s also the detail that my web analytics app does not identify a referring page from the website supposedly sending visitors my way.

The frequency of visits doesn’t stack up either. I’m sure the blogs cited in the /?ref= parameter, that are supposed to be linking here, have many (human) readers, but I can’t imagine every last person, sometimes thousands of them, have been clicking through to my website.

Another possibility was my website had been shared in a newsletter. Usually though the URL query, or UTM parameter, I see in newsletters are along the lines of say ?utm_content, or ?utm_source.

One of the query parameters seen in the screenshot from my web analytics app does is ?utm_source though. However, with one exception I think, none the cited websites publish newsletters.

Also, if any of the cited websites were legitimately sending traffic here using a tracking tag, I doubt they’d use such a nonsensical URL path… page/14page/16page/page/2page… what?

It does puzzles me why these scrapers only seem to be targeting the front page of my website. Only a small amount of the total content posted here is visible there. But they’re AI bots, no doubt they know what they’re doing.

In the meantime, I’ll have to get used to seeing these analytics entries until I can figure out a way to block or mask them. That might be easier to say than do though.

But kudos (ironically) to Claude for acknowledging disassociated in response to a query about the Tiny Awards, in the above image. It’s much appreciated, truly, but doesn’t happen often enough.

LinkedIn CringeBot 3000, generating AI slop of the best quality

13 August 2026

Since the volume of slop-in-general is of epidemic proportions on the platform, it makes perfect sense an AI agent write actual AI slop for consumption there.

LinkedIn users can report AI slop, but what about the rest of it?

1 August 2026

Members of the professional network will be able to flag posts they think are AI generated. I haven’t been a LinkedIn participant in years — I have a personal website, why would I? — but it seems to me slop has been a problem on the platform since before AI was what it is.

The threat of toxic content on decentralised social media platforms

31 July 2026

Mastodon is a truly decentralised micro-bloging platform. Anyone sufficiently motivated, and technically proficient, can start their own instance, or community.

Depending on the administrator, instances can be completely isolated, accessible only to its members, or federated, that is, interconnected to all other instances that are likewise federated.

Presently there eight-thousand instances, give or take, and each has, or can have, its own individual community guidelines and moderation policies.

This can mean content permissible on one instance might be unacceptable somewhere else. But if that instance is federated, members’ posts may be visible to just about all Mastodon members.

It’s something that can allow content of a toxic nature to disseminate freely across the Mastodon network, as there are no standard platform-wide moderation policies.

And according to research carried out by Pasan Kamburugamuwa and Olga Scrivner, toxic content is becoming more prevalent on Mastodon.

Tens of millions of people migrated to places like Mastodon and Bluesky, to escape the toxicity that had become rife on other social media platforms. It’s unfortunate, to say the least, that content many consider unacceptable, is taking hold.

Mastodon’s decentralised structure is one of its advantages. For one, it means no single person, or entity, can assume control of the entire network, and do with it as they please.

But decentralisation is a double-edged sword, if it allows people to set up shop in their own corner, and spread content others don’t want to see.

Finding a solution in an environment such as Mastodon’s will be challenging.

AI does not compose my pickup lines, I do, have the t-shirt to prove it

29 July 2026

Natalie Kaufman, writing for the Wall Street Journal, about an apparent trend in early twenty-somethings, to rely on AI agents to supply them with conversation starters, and pickup lines.

The article is paywalled, but would you really want to read about this?

I think these things are best learned through experience, and watching other people, rather than turning to AI for pointers. It gives me an idea for a t-shirt though.

Some websites and blogs sport not by AI buttons, as a way of reassuring readers their content was written by a person, and not an AI agent.

People who want others to know their conversation starters, and, where applicable, pickup lines, are their own effort, could wear a not by AI-style t-shirt, perhaps bearing the slogan “AI does not compose my pickup lines, I do”.

It might help eliminate the confusion as to what banter is AI-generated, and what is not.

For the record, my pickup lines are reserved for the only person who reads this website…

Update: Simon at Firesphere has created a mockup of my no-AI t-shirt idea. Green is an ideal colour choice to, it’s affirming, and noticeable. Awesome, thanks Simon.

To read more, pick up a book not your phone, no wait…

23 July 2026

Hobart, Tasmania, based Australian software engineer Elia Scotto:

First of all, you don’t have to make time to read. What you need to do is read every single time you are not doing something else. In today’s world, most people pick up their phones as soon as they get a moment of inactivity. Serious readers pick up their books instead.

I’ve been having difficulty finding time to read books recently, for various reasons, and am still working on a way to resolve this.

Since removing most of the social media apps from my phone though, I’m not spending so much time looking at it. That’s eventually going to free up some time to read.

Ironically though, I’ll probably end up reading e-books, on my phone. I know that isn’t the idea, but it’s better than not reading at all. Besides, I don’t like hauling physical media around.

But, if you feel you don’t have enough time to read books, whether print or electronic, try deleting the social media apps from your phone, as a first step.

Reading books has to be more fulfilling than doomscrolling social day-in and day-out.

Roger Montgomery: how SpaceX achieved that two trillion dollar valuation

16 July 2026

SpaceX’s two-trillion dollar (US) share-market valuation astonished market analysts, investors, and probably a great many other people, alike. Roger Montgomery, an Australian financial adviser, sets out in simple terms how the remarkable figure was calculated. My head is still spinning.

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economics, space exploration, trends

Reading was something we used to do before AI came along

13 July 2026

Rose Horowitch, writing for The Atlantic (gift link):

Reading has come to seem extraneous even to some of the best-educated members of society. Margaret Rennix, Harvard’s assistant director for humanities and social-sciences support, told me she’d spoken with a student who was struggling to read a book written in Old English. The culprit: Anthony Burgess’s 1962 novel A Clockwork Orange. (The student used ChatGPT to “translate” the book into easier language.)

I used to read a lot. But that was when for a couple of years I wasn’t doing too much writing here. Once blogging resumed, reading, or finding time to read, became more challenging.

There’s a correlation here. That’s my story, and I’m sticking to it. Nothing to do with AI. One activity increases, the other decreases. There’s only so much time in the day, after all.

It’s a poor excuse not to read though. And then there are book bloggers, who need to read in order to blog meaningfully about what they say they’ve read.

The example of the Harvard (how can that be?) student who was struggling to read A Clockwork Orange is another matter though. I don’t know anything about the individual in question, but I suspect blogging wasn’t holding them back from reading.

Maybe they simply didn’t like the novel, even if it was required reading for their course.

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