Next Gen AI Writing: Ever More Precise

Analytics India predicts the next generation of GPT-3 — the auto-text writing engine that powers much of AI writing — will offer enhanced performance.

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A key component to that upgrade: Greater precision from the tool’s successor, GPT-4, according to writer Sri Krishna.

In practice, that will mean GPT-4 will more precisely auto-generate the specific kind of text users are looking for when they are working with the auto-writing engine.

Currently, most AI writing tools that rely on predictive analytics use the supercomputer-driven GPT-3 to power their solutions.

Essentially, GPT-3 is the underlying engine of these apps.

And the tools — like Jasper — are simply interfaces that sit atop GPT-3 to enable novices to easily operate GPT-3 for auto-text writing.

Currently, there are more than 50 auto-writing apps on the market that use GPT-3 as their underlying auto-writing engine.

(For an in-depth look at GPT-3, check out: “GPT-3 and AI Writing: Stunning, if Imperfect,” by Joe Dysart.)

(For an in-depth, 2022 look at the current state of the market for AI writing tools, check-out, “Ultimate Guide: Artificial Intelligence Writing Software,” by Joe Dysart.)

In other AI-generated writing news:

*In-Depth Guide: Wrytly: Yash Singh offers a walkthrough of AI writer Wrytly in this 11-minute video.

The auto-AI writer operates like most auto-writers based on predictive analytics, enabling you to auto-generate short slogans, ad copy, blog posts, articles and similar text with varying success.

Singh’s take: Wrytly’s interface is simple and easy to use and “the output quality is pretty good.”

On the downside: Wrytly sometimes delivers unwanted copy, along with the copy you’re looking for.

That sometimes requires you to re-jigger the tool multiple times to auto-generate copy closer to what you really want, according to Singh.

*Mutiny: Personalizing Web Copy for Every User: Mutiny has snared $50 million in new funding for its AI tool, which is designed to serve-up thousands of personalized versions of a Web site.

Personalization comes in the form of auto-generated copy, based on the preferences it perceives of each visitor.

Included in Mutiny’s bag of tricks: The ability to study how competitor Web sites use personalization — and then incorporate that personalization strategy into your Web site.

*Punching-Up Marketing Copy with Anyword: Researchers at AI writer Anyword say the tool’s ability to enhance copy can significantly increase returns for marketers and other writers.

“Our analysis reveals that even simple changes improve performance,” says Yaniv Makover, CEO, Anyword.

For example: Upgrading the pitch ‘Here are our latest spring fashion finds’ to ‘Explore our latest spring fashion finds’ delivers enhanced sales results, according to Makover.

Anyword works by using AI to come-up with a Predictive Performance Score for any marketing pitch — without the need to test the pitch on a live audience — according to Makover.

*Another Marketing Platform Adds AI Writing: Tailwind has added AI writing to its tool chest to enable users to auto-create custom writing.

The AI tech comes from Replier.ai, which Tailwind recently acquired.

Observes Tailwind CEO, Daniel Maloney: “The copywriting power of Replier.ai is truly remarkable.

“We can’t wait to incorporate that functionality across the Tailwind marketing system.”

*Podcast: What Happens When Computers Can Write Like Humans?: Jeff Hancock, a communications professor at Stanford University, offers his take on the pros and cons of AI writing in this 27-minute podcast.

Overall, Hancock believes that business demands of employees may change from requiring basic writing skills to “how good are you at getting a system to help you write?”

Adds Hancock: If you’re a current or future marketer — and you have no knowledge of how automated writing works — you’re probably putting yourself at an extreme disadvantage.

*Free Webinar on AI and Journalism May 19: The World Association of News Publishers is sponsoring a free Webinar on the intersection of AI and journalism.

Representatives from three AI startups specializing in AI tech for news media will be presenting at the one-hour virtual meet.

*Video: A Crash Course for Journalists on AI and Machine Learning: AI evangelist JournalismAI offers a snapshot on AI and news production in this 51-minute video.

The presentation includes insights into the optimized use of AI in local newsrooms, as well as the distinction between artificial intelligence and machine learning.

“AI can help you across the journalism process — including newsgathering, news production and news distribution — according to Mattia Peretti, manager, JournalismAI.

*AI Editing Coach for Students Gets an Upgrade: AI editing tool Automated Feedback — which auto-evaluates and provides feedback on student writing — has gotten an upgrade.

The enhanced version now uses 27 criteria to offer students suggestions for improving their writing skills.

Automated Feedback got the nod at the Reimagine Education Awards in December 2021 as its AI ‘Silver Winner.’

*AI Big Picture: Pew Survey Mixed on AI’s Threat to Jobs: A new study from Pew finds that 48% of experts believe AI will bring major job loss in coming years.

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But 52% have a rosier view, insisting AI will create new jobs and new industries — replicating the impact of the Industrial Revolution.

Of course, missing from the ‘Be Happy, Don’t Worry’ view is that all those new jobs and all those new industries will most likely require significant re-training of workers.

That’s a luxury — in terms of money and time off to study — that a 52-year-old dad with a hefty mortgage and three kids in college can only dream about.

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Grammarly
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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.

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