Dean.Bot was the brainchild of Silicon Valley entrepreneurs Matt Krisiloff and Jed Somers, who had started a super PAC supporting Phillips (Minn.) The PAC had received 1 million from hedge fund manager Bill Ackman, the billionaire activist who led the charge to oust Harvard University president Claudine Gay.

Stability AI, the makers of the popular AI image generation model Stable Diffusion, had trained the model by feeding it with millions of images that had been "scraped" from the internet, without the consent of their creators. Newton-Rex, the head of Stability's audio team, disagreed. "Companies worth billions of dollars are, without permission, training generative AI models on creators' works, which are then being used to create new content that in many cases can compete with the original works. In December, the New York Times sued OpenAI in a Manhattan court, alleging that the creator of ChatGPT had illegally used millions of the newspaper's articles to train AI systems that are intended to compete with the Times as a reliable source of information. Meanwhile, in July 2023, comedian Sarah Silverman and other writers sued OpenAI and Meta, accusing the companies of using their writing to train AI models without their permission.

Get ready to share your custom chatbot with the whole world. OpenAI recently launched its GPT Store, after it delayed the project following the chaos of CEO Sam Altman's firing and reinstatement late in 2023. Similar to OpenAI's GPT-4 model and web browsing capabilities, only those who pay 20 a month for ChatGPT Plus can create and use "GPTs." The GPT acronym in ChatGPT actually stands for "generative pretrained transformers," but in this context, the company is using GPT as a term that refers to a unique version of ChatGPT with additional parameters and a little extra training data. Here's how to make your GPT public and some advice to help you get started with the GPT Store.

Do AI companies need to pay for the training data that powers their generative AI systems? The question is hotly contested in Silicon Valley and in a wave of lawsuits levied against tech behemoths like Meta, Google, and OpenAI. In Washington, DC, though, there seems to be a growing consensus that the tech giants need to cough up. Today, at a Senate hearing on AI's impact on journalism, lawmakers from both sides of the aisle agreed that OpenAI and others should pay media outlets for using their work in AI projects. "It's not only morally right," said Richard Blumenthal, the Democrat who chairs the Judiciary Subcommittee on Privacy, Technology, and the Law that held the hearing.

In the decades to come, 2023 may be remembered as the year of generative AI hype, where ChatGPT became arguably the fastest-spreading new technology in human history and expectations of AI-powered riches became commonplace. The year 2024 will be the time for recalibrating expectations. Of course, generative AI is an impressive technology, and it provides tremendous opportunities for improving productivity in a number of tasks. But because the hype has gone so far ahead of reality, the setbacks of the technology in 2024 will be more memorable. More and more evidence will emerge that generative AI and large language models provide false information and are prone to hallucination--where an AI simply makes stuff up, and gets it wrong.

Amid the growing clamor in Congress to regulate AI, the company is bringing in reinforcements. After years of outreach to lawmakers, OpenAI in fall 2023 disclosed its first in-house lobbyist, and reported that it is working with global law firm DLA Piper, according to federal disclosures. OpenAI to date has not advocated for or against any specific bill, Makanju says, but she anticipates that will change in 2024, especially with the Schumer effort that is underway. Makanju's team is also growing around the world, with more than 20 people in the United Kingdom, Germany, Japan and Brazil.

Of the many events that stand out as noteworthy in online discussions across Chinese social media in 2023, it's perhaps the rise of ChatGPT that will prove to be the most significant. Although the chatbot made by the US-based OpenAI was officially launched in late 2022, it took until 2023 for its unprecedented growth to raise eyebrows in China, where the government has set the goal of becoming the global AI leader by 2030. Over the past decade, the focus on AI in Chinese society and digital culture has grown. Since the Covid-19 outbreak, AI implementations in schools, office buildings and factories have rolled out in fast forward. AI facial recognition is employed in everything from public security to payment technology; smart glasses and helmets make it easier for many workers to perform their tasks; and intelligent robots have become a common sight in China's service industry, in malls, restaurants, and banks. There seemed little doubt over who would win the tech race between the eagle and the dragon; but then came ChatGPT.

If you've been creeping around underground tech forums lately, you might have seen advertisements for a new program called WormGPT. The program is an AI-powered tool for cybercriminals to automate the creation of personalized phishing emails; although it sounds a bit like ChatGPT, WormGPT is not your friendly neighborhood AI. ChatGPT launched in November 2022 and, since then, generative AI has taken the world by storm. But few consider how its sudden rise will shape the future of cybersecurity. In 2024, generative AI is poised to facilitate new kinds of transnational--and translingual--cybercrime.

Over the summer, a political action committee (PAC) supporting Florida governor and presidential hopeful Ron DeSantis uploaded a video of former president Donald Trump on YouTube in which he appeared to attack Iowa governor Kim Reynolds. It wasn't exactly real--though the text was taken from one of Trump's tweets, the voice used in the ad was AI-generated. The video was subsequently removed, but it has spurred questions about the role generative AI will play in the 2024 elections in the US and around the world. While platforms and politicians are focusing on deepfakes--AI-generated content that might depict a real person saying something they didn't or an entirely fake person--experts told WIRED there's a lot more at stake. Long before generative AI became widely available, people were making "cheapfakes" or "shallowfakes."

Generative AI's ability to harness customer data in a highly sophisticated manner means enterprises are accelerating plans to invest in and leverage the technology's capabilities. In a study titled "The Future of Enterprise Data & AI," Corinium Intelligence and WNS Triange surveyed 100 global C-suite leaders and decision-makers specializing in AI, analytics, and data. Seventy-six percent of the respondents said that their organizations are already using or planning to use generative AI. According to McKinsey, while generative AI will affect most business functions, "four of them will likely account for 75% of the total annual value it can deliver." Among these are marketing and sales and customer operations.