Before you populate your next blog or Web site with torrents of AI-generated writing, beware: Google considers the practice spam.

Observes John Mueller, search advocate, Google: “For us, if you’re using machine learning tools to generate your content, it’s essentially the same as if you’re just shuffling words around, or looking up synonyms, or doing the translation tricks that people used to do.

“My suspicion is maybe the quality of content is a little bit better than the really old-school tools.

“But for us, it’s still automatically generated content.

“And that means for us it’s still against the Webmaster Guidelines.

“So we would consider that to be spam.”

Even so, Mueller admits that Google may not be able to suss-out AI-generated writing without the scrutiny of Google’s human reviewers.

In other AI-generated writing news:

*In-Depth Guide: Ink and the Long Form Article: The company behind Ink offers a tour of its AI writer in this 15-minute YouTube video.

Included are tips and tricks on how to generate a long-form article with Ink by working on — and refining — short sections of the article, a-piece-at-a-time, until you’ve generated a substantial article or blog post.

One of Ink’s interesting tools: The ability to auto-rewrite a sentence so that it’s more casual, more formal, more simple-to-read — and similar options.

Ink also helps optimize articles so they appear higher-up in search engine returns.

*The New York Times: AI Writing and Its Implications: If you’re looking for an extremely in-depth look at the origins, workings and impact of AI writing powered by supercomputer auto engines like GPT-3, this is your baby.

One of GPT-3’s many attractions examined in this article: It’s mystery.

Observes Steven Johnson, the author of this ambitious analysis of AI writing: “One puzzling — and potentially dangerous — attribute of deep-learning systems generally is that it’s very difficult to tell what is actually happening inside the model.

“You give the program an input, and it gives you an output.

But it’s hard to tell why exactly the software chose that output over others.

“This is one reason the debate about large language models exists.

“Some people argue that higher-level understanding is emerging – thanks to the deep layers of the neural net.

“Others think the program by definition can’t get to true understanding simply by playing ‘guess-the-missing-word’ all day.

“But no one really knows.”

*Wired: The Future of the Web is Marketing Copy Generated by Algorithms: Writer Tom Simonite offers a snapshot on the current state of auto-writers that use the supercomputer-driven GPT-3 as their writing engine.

Among Simonite’s interesting observations: Some AI writers have grown more adept lately at generating text that truly sparkles — as opposed to simply ‘getting the job done.’

Simonite’s use of Jasper, for example, initially yielded a paragraph that was lackluster.

But after running the idea through Jasper a second time, the significantly improved paragraph triggered “an editor to exclaim that she had received worse copy from professional writers.”

(For an in-depth look at the current state of the market for AI writing tools, check-out, “Ultimate Guide: Artificial Intelligence Writing Software,” by Joe Dysart.)

*AI and PR: The Seven Hard Truths: Early adopters of AI-generated writing and similar AI tools in PR have long said the industry needs to embrace AI.

But so far, it’s been slow going, according to writer Claire Simpson.

Some of the obstacles to widespread adoption of AI writing tools and similar tools in PR, according to Simpson include:

~Too many PR practitioners have no appreciation of AI tools

~Too often, PR pros see AI as ‘somebody else’s job.’

~PR pros are conflicted when it comes to AI, viewing the tech with a mix of fear and optimism

*The Next Gen Writer: Key AI Tools for Copywriters: The Marketing AI Institute is offering an in-depth workshop August 3 on must-have AI tools for writers’ tool-kits.

The session is part of the organization’s Marketing Artificial Intelligence Conference in Cleveland, Aug. 3-5.

The three-hour workshop is promising an intensive look at how AI offers writers new, more effective solutions to:

~Research
~Curation
~Summarization
~Writing
~Optimization
~Translation
~Editing of all content of all types

*At LivePerson, AI Now Rides Shotgun With Chat Reps: LivePerson, one of the pioneers of customer service via chat support, has enhanced its solution with AI-aided analysis that includes suggested chat responses.

Dubbed ‘ConversationAssist,’ the tech analyzes every message sent by a customer during a chat and serves-up AI recommended answers — when appropriate — that chat reps have the option of dropping into their responses if they choose.

AI-enhanced LivePerson can also steer customers to chatbots when appropriate — or port customers from a chatbot to a human being when it looks like the chatbot is struggling with a customer.

Says Rob LoCascio, CEO, LivePerson: “Powered by our natural-feeling AI, Conversation Assist’s enhanced recommendation engine helps balance the efficiency of bots — and human touch of a brand’s agents — to provide consumers with even more efficient and helpful conversations.”

*Managing a Newsroom in the AI-Powered Future: Early adopters of AI in the newsroom offer a look at how the tech has changed how they do news in this one-hour video.

An interesting highlight: AI will have a better chance of success at media outlets if more journalists simply start hanging out with more techies, according to Niddal Salah-Eldin, managing director, FreeTech Academy.

Observes Salah-Eldin: “What happens is you have fantastic reporters and editors — fantastic journalists who tell amazing stories — who have never been socialized with techies.

“So there’s always this misunderstanding –things get lost in translation.”

The solution: Encourage the two groups to start socializing together in their college years.

That way, by the time they’re working together at media outlets, they’ll have a natural affinity, according to Salah-Eldin.

*On Artistic AI and Literary Writing: Hannes Bajohr offers an academic look at the promise of AI for literary writing in this paper.

One of his key conclusions: Writers now have access to both strong artistic AI — and weak artistic AI.

Observes Bajohr: “The former is inherently anthropocentric, strives for the re-duplication of existing artforms, and reproduces concepts of a post-romantic tradition such as expression, genius, and creativity.

“The latter, on the other hand, allows for an experimental approach towards genuine artistic novelty unhampered by human models through, paradoxically, keeping a human in the loop.

*Big Picture AI: Stanford University Study: Nothing But Blue Skies for AI: This latest look at the state of AI from Stanford reinforces the commonly held belief that AI’s future is so bright, it’s gotta wear shades.

Private investment in AI more than doubled in 2021 over the previous year, clocking in at $93+ billion, according to the study.

And the number of AI patents filed in 2021 was 30 times greater than in 2015.

Not surprisingly, the U.S. and China dominate the world in the number of cross-country research collaborations they’re helping sponsor, according to the study.

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–Joe Dysart is editor of RobotWritersAI.com and a tech journalist with 20+ years experience. His work has appeared in 150+ publications, including The New York Times and the Financial Times of London.