AI is poised to eviscerate more jobs than some would have us believe, according to Rob Toews, a venture capitalist at Highland Capital Partners.
Observes Toews: “The notion that, at its best, AI will augment rather than replace humans has become a pervasive and influential narrative in the field of artificial intelligence today.
“It is a reassuring narrative.
“Unfortunately, it is also deeply misguided.”
Adds Toews: “AI’s core promise — the reason we are pursuing it to begin with — is that it will be able to do things more accurately, more cheaply and more quickly than humans can do them today.
“Once AI can deliver on this promise, there will be no practical or economic justification for humans to continue to be involved in many fields.”
In other AI-generated writing news:
*Five Ways AI is Making Content Marketing Simpler: Brock Stechman, co-founder of DivvyHQ, offers an easily digestible look with this piece at how AI-generated writing and similar AI is helping make content marketing a snap.
“The most prevalent uses (of AI) are content personalization, predictive analytics for customer insights, targeting decisions and customer segmentation,” Stechman observes.
Increasing numbers of companies and organizations have been relying more on content marketing – the use of sponsored articles, videos, social media and similar content – to promote their brands in recent years.
He adds: “There are no shortcuts to quality.
“But these AI-powered tools can make processes, planning, and analysis easier for your team.
*Perspective: Getting Over AI Journalism Anxiety: Glenda Cooper, a senior lecturer in journalism at City University of London, takes a ‘Don’t Worry, Be Happy’ view of the current proliferation of AI-generated writing.
Observes Cooper: “It’s true that there has been more focus on the potential problems around AI rather than the upsides.
She adds: “Perhaps the question we should be asking is: Why after decades of automation, are there still so many jobs in journalism?
“The answer: Despite 40 years of automation, journalism as a creative industry has shown resilience and a strong capacity for adaptation and mitigation of new technology.
“We are still a long way off from the scenario where a journalist R2D2 replaces a human reporter.”
(For an in-depth, 2021 look at how robots are replacing writers across the spectrum, check-out, “The Robots Cometh: How artificial intelligence is automating writing jobs,” by Joe Dysart.)
*A Call for Self-Regulation in the Era of News Automation: News outlets using AI-generated writing need to start self-regulating – or face future peril, according to a new report from mass media think tank based in Finland.
“If the media councils don’t take the lead on this, it will be someone else.
“And whoever it is – whether national legislators, the EU or platform companies – they might jeopardize the freedom of the press,” says Lauri Haapanen.
Haapanen is a university lecturer in journalism at the University of Jyväskylä in Finland.
She is also author of the think tank report, “Media Councils and Self-Regulation in the Emerging Era of News Automation.”
*New Report: Significant Expansion of AI in Journalism through 2026: QYResearch is predicting growing use of AI in journalism through 2026 in its latest industry study.
The researchers observe: “The comparative results provided in the report allow readers to understand the difference between players and how they are competing against each other.
And “the research study gives a detailed view of current and future trends and opportunities of the global automated journalism market.”
*Automated Product Descriptions: A Success Story: Julia Meier, a spokesperson for MedSolut AG, says AI-generated writing has enabled her company to automate the writing of product descriptions.
The tool she uses – AX Semantics – enables MedSolut AG to quickly generate product descriptions for laboratory and medical supplies that are distinctly different than those provided by manufacturers of those goods.
Says Meier: “In our industry, we often come across duplicate content in the form of identical item descriptions.
“These are mostly taken over 1:1 from the manufacturers.”
Reworking those descriptions with AX Semantics enables MedSolut AG to offer much more detail and insight on each product, according to Meier.
Says Meier: “At the beginning, it took a few weeks to get used to it (AX Semantics).
“But with regular work on AX, you quickly get used to it and find your personal way of working and approaching it.”
*Anatomy of an AI Novel Analyzer: Author J.D. Lasica offers a close-up look at Marlowe in this piece.
It’s an AI software tool from Authors AI that writers can use to see how the structure of their novels stacks-up against those of bestsellers.
Full disclosure: J.D. Lasica helped develop Author AI with a team of data scientists at Authors AI.
Observes Lasica: ” Don’t think of this fiction-reading AI as an all-knowing arbiter of what goes into a great novel.
“At its core, Marlowe is doing something fairly straightforward: It’s looking at the patterns found in fiction bestsellers and comparing those attributes to your novel.
“You upload your manuscript, fill out a few fields, and within 15 minutes, Marlowe will email you a 25-page full-color analysis of your work based on other works that have proved popular with readers.”
*Startups and GPT-3: Venture Beat Author Takes a Dim View: While GPT-3 has spawned a number of businesses that use the powerful auto-text generator as its language engine, an author at Venture Beat is skeptical.
Observes Ben Dickson, a software engineer and founder of TechTalks: “Any application you build on GPT-3 can easily be cloned by another developer.”
Even so, Dickson does see some GPT-3 driven start-ups he believes are viable, including AI writing service Copysmith.
Observes Dickson: “It is worth noting that the text GPT-3 generates (for Copysmith) is not perfect and still needs some polishing.
“But it could improve productivity and reduce costs.
“For instance, one person can use the tool to do the work of several content writers and result in lower staff costs – to the chagrin of content writers.
“The monthly pricing includes $19, $60, and $500 plans — which provide approximately 500, 2,500, and 20,000 pieces of original content, respectively.
“So, it would be suitable for individual companies as well as large content mills that serve several customers.”
For a list of start-ups using GPT-3 as an engine, check-out this list put together by Alex Schmitt, an investor at Cherry Ventures.
(For an in-depth look at GPT-3, check-out: “GPT-3 and AI Writing: Stunning, if Imperfect,” by Joe Dysart.)
*Copy.ai: Automated Marketing Copy for Small Businesses: Frederick Daso, a senior contributor at Forbes, interviews a co-founder of Copy.ai in this article.
The tool, which is designed to auto-generate marketing slogans and ad copy, is primarily targeted to small business users.
Like a number of new auto-text tools, Copy.ai uses GPT-3 as its engine.
Observes Chris Lu, co-founder, Copy.ai: “When GPT-3 was released, we knew it was immediately commercially viable and that its ability to generate diverse content was unprecedented.
As a result, we immediately applied for access and began to experiment with various applications.”
*Vietnam Paper Embraces Personalized Newsletters, Editor’s Picks: News outlet VietnamPlus has decided to embrace AI, partnering with AI services provider Insider.
Specifically, the two will be using AI to deliver personalized news to readers.
Insider has been featured as an AI services provider to watch by both Gartner and G2Crowd.
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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.