Need Ad Copy? Just Add Computer Vision and AI

Singapore-based Hypotenuse AI has a new tool that creates instant product descriptions using computer vision and AI.

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The AI tool works by intensely studying a product image and instantly generating a text description.

“We can do this really quickly — we can generate thousands of them (product descriptions) within seconds,” says Hypotenuse AI founder Joshua Wang.

The tool’s prowess is a testament to the rapid advance of AI-generated writing during the past year, according to Wang.

“One year ago a lot of the things that we are doing now were not even possible,” Wang says. “And some of the things that we see are becoming possible today — we didn’t expect it for one or two years’ time.”

In other AI-generated writing news:

*eBay Scores Big With AI-Generated Writing: eBay is seeing more clicks and a better bang-for-its-copywriting-buck since switching to AI-generated writing, according to this sponsored content in eMarketer.

Specifically, the world’s biggest flea market uses AI from Phrasee to auto-generate subject heads for its email marketing campaigns.

“We needed a creative technology solution that offered scalability, but also reflected the brand’s voice and adapted to the constantly changing behaviors and preferences of our audience,” says Justine Del Greco, marketing manager, global CRM at eBay.

The result: “we’ve seen significant engagement and ROI uplift ever since,” Del Greco says.

*Quick Study: Making the Most of AI-Generated Writing Tools in Your Online Store: Margaret Kashuba offers an extremely informed look at what AI-generated writing and similar tools can do for your online business.

Kashuba is chief marketing officer at Owox BI, a marketing analytics service.

Kashuba’s overarching advice: Be very picky when bringing in AI: “There are numerous applications, services, and programs created on these technologies, but not all of them are equally applicable to online retailers,” Kashuba says.

*Integration or Replacement?: An Academic Investigation Into AI’s Impact on Journalism: Scholars from Saudi Arabia and Palestine conclude AI will not steal jobs from journalists in coming years.

“On the contrary, humans will remain the controllers and supervisors of AI and would benefit of these technologies to do their work fast, accurate and more efficient,” the scholars write.

They add: “After all, the human mind is a sacramental secret.

“Our relationship with words is a unique and profound relationship — no robot can go through the authorship experience.”

*AI Journalism: An Arab Perspective: Samya Ayish, a teaching fellow with the Google Initiative, looks at AI and journalism from an Arab perspective.

The video – translated into English — includes how AI is automating the production of news in the Arab world.

*Facebook and AI-Generated Chat: Linguist David Adger offers a look at Facebook’s experiment with AI chatbots in this 13-minute podcast.

Included is background on how to get AI to understand and speak language.

It also takes a look at how humans and computers work with language differently.

*How Investigative Journalists are Using AI: The International Symposium on Online Journalism offers a deep dive into investigative journalism and AI in this 90-minute video.

Speakers featured in the video:

*Maria Tereas Ronderos, director, Latin American Center for Investigative Journalism

*Emilia Diaz-Struck, research editor, International Consortium of Investigative Journalists

*Charlotte Godart, investigator and trainer, Bellingcat

*John Keefe, adjunct faculty, Newmark Graduate School of Journalism, CUNY

*Haley Willis, visual investigations reporter, The New York Times

*A Look at AI Writing Assistant Linguix: Company reps for this tool offer a deep dive into the workings of Linguix in this 38-minute video.

The product backgrounder offers a good frame-of-reference on what AI writing assistants have to offer.

*Symbolic Learning: A Tweak for GPT-3?: AI researchers are seeking to enhance GPT-3 by beefing it up with symbolic learning programming, according to this article in the Wall Street Journal.

The AI-generated writing tool is currently making waves for its ability to translate everyday language into legalese, produce long passages of coherent text, write simple software — and more.

GPT-3 works by using statistics to guess what words should be generated next after being prompted by a human with a text question or similar.

But despite its wizardry, GPT-3 also suffers from generating long-form text that sometimes is incoherent.

It also sometimes makes simple mistakes in logic.

Yejin Choi, a computer science professor at the University of Washington, believes those shortcomings might be corrected by infusing GPT-3 with symbolic learning programming.

“If successful, neuro-symbolic AI could pave the way for voice assistants that act based on an understanding of a user’s needs — not just questions,” observes writer Jared Council, a writer for the Wall Street Journal.

*AI-Generated Writing and Ethics: Not Ready for Prime Time?: Researchers have found that some AI-generated writing tools score low marks in ethics when put through their paces.

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“The researchers posit that aligning AI with human values appears difficult in part because those values contain preferences intertwined with subconscious desires,” observes Kyle Wiggers, a writer for Venture Beat.

The researchers, from a number of universities, conclude: “Our work is just a first step that is necessary — but not sufficient — for creating ethical AI.”

*Special Feature: Company Reports That Write Themselves

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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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