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Google’s “Genesis”: A News Writing AI Shocking Journalists

By Adam Pease

 

Google’s “Genesis”: A News Writing AI Shocking Journalists

Google’s AI development team has built a tool that can produce convincing, and sometimes even accurate news stories. Anonymous sources, cited by the New York Times, have revealed that Google’s ‘Genesis’ can generate news articles.

When asked about the rumors, a Google spokesperson confirmed that Google is working to provide new tools for journalists that leverage generative AI. This blog discusses the news. Genesis 

How New Are Google’s Capabilities?

While a news-generating AI tool may sound like an exciting or terrifying process, the reality is that the current generation of language models has already been capable of producing generated text capable of convincing many readers that it was written by a real human. The jury is still out on how good Google’s capabilities are, and we may have to wait and see until Genesis-written articles are in the wild. Genesis

Nevertheless, Google may be uniquely positioned to develop such a tool based on its search monopoly and vast repository of up-to-date data from around the world. Between tools like Google Maps and its general search project, Google is in a position to provide its language models with much more context than competitors like OpenAI, which may make its tools excel at generating factual content about current events. Genesis

Should AI Be Writing the News?

While we’ve focused on the technical details of the Genesis news so far, the story has also created an uproar among journalists, with some expressing the concern that Google’s tool could put working journalists out of a job, or proliferate misinformation. The question of whether large language models can be trust to provide a factual record of current events is an open one, and Google will likely have to meet a high standard of accuracy for its product to have wide adoption. Genesis

There will no doubt be a great debate over the next few years about these kinds of topics as generative AI continues to replace more aspects of the way work gets done. It will be up to governments and organizations to determine how much they want AI-generated content to become a trusted source of information.

Bottom Line

Google’s Genesis news underscores just how much generative AI is changing the landscape of content now. We will soon be having widespread social conversations about how much we want to allow artificial intelligence to transform our lives.


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This blog on is part of the Content AI blog series by Aragon Research’s Analyst, Adam Pease.

Missed the previous installments? Catch up here:

Blog 1: RunwayML Foreshadows the Future of Content Creation

Blog 2: NVIDIA Enters the Text-to-Image Fray

Blog 3: Will OpenAI’s New Chatbot Challenge Legacy Search Engines?

Blog 4: Adobe Stock Accepts Generative Content and Meets Backlash

Blog 5: OpenAI Makes a Move for 3D Generative Content with Point-E

Blog 6: ChatGPT and the Problem of Detecting AI-Generated Content

Blog 7: Content AI: Voice AI Takes a Step Forward

Blog 8: AI in the Courtroom: Are Robot Lawyers the Future of Law?

Blog 9: GitHub Copilot and the Legality of Generative Content

Blog 10: Google Steps into the Chat AI Ring with Bard, Anthropic Investment

Blog 11: Exploring Google Bard’s Botched Demo

Blog 12: Meta AI Is Working at the Intersection of Robotics and Generative AI

Blog 13: Meta’s New AI Model Leaks

Blog 14: Students in China Use ChatGPT from Behind the Firewall

Blog 15: OpenAI’s ChatGPT API Will Transform Application Experiences

Blog 16: Microsoft Announces Copilot X, GPT-4 Integration

Blog 17: BloombergGPT Brings Generative AI to Finance

Blog 18: Stability AI Releases Its First Large Language Model: StableLM

Blog 19: OpenAI to Patent ‘GPT’

Blog 20: Pinecone and the Power of Vector Databases for AI

Blog 21: Alphabet Plans New Generative AI Announcements for Google I/O

Blog 22: Europe Moves to Regulate Generative AI

Blog 23: OpenAI Introduces Code Interpreter Plugin for ChatGPT

Blog 24: Generative AI and the Labor Market: Is It Causing Job Loss?

Blog 25: OpenAI Announces Function Calling for Its GPT-4 API

Blog 26: The State of Open-Source Language Models

Blog 27: The State of Generative Video

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