When the eerily accurate AI image generator Dall-E 2 was released for public experimentation by OpenAI this summer, most people immediately used it to create whimsical scenes such as "samurai dolphin painted in the style of Rembrandt" or "Bruce Willis angrily devouring a cheeseburger on the moon". True, if you looked too closely at Bruce's left ear you might have noticed it wasn't there – but the freaky glitches were, though somewhat unsettling, part of the fun, not to mention a calming reminder that AI cannot entirely trick us that its images are real – yet. But more than one panicked architect also typed in, "Four-storey family home in forest in the style of Mies van der Rohe" or "Japanese-Scandi lounge area in office building lobby", and let out a tiny scream when the results resembled the renders of projects that architects otherwise spend long hours churning out. If an AI could knock out a decent interior in seconds, did it promise to be a fabulous time-saver – or would it put everyone out of a job? Not only does it celebrate the painstaking construction of physical structures, complete with tiny people and fake trees like a model railway set, which clearly took ages to make and no AI could come close to replicating – yet, but these models are also animatronic: they move, open, chirp, whirr, creak and close like Victorian clockwork figurines or the childlike works of Rodney Peppe.

Generative AI is revolutionising how we experience the internet and the world around us. Global AI investment surged from $12.75 million in 2015 to $93.5 billion in 2021, and the market is projected to reach $422.37 billion by 2028. While this outlook might make it sound like generative AI is the "silver bullet" for pushing our global society forward, it comes with an important footnote: The ethical implications are not yet well-defined. This is a severe problem that can inhibit continued growth and expansion.

Maybe that sounds like a utopian fantasy. You have gotten used to the feeling that once you put digital bits of yourself or your loved ones online, you lose control of what happens next. Dryhurst told me that with publicly available AI, such as Dall-E and ChatGPT, getting a lot of attention but still imperfect, this is an ideal time to reestablish what real personal consent should be for the AI age. And he said that some influential AI organizations are open to this, too.

It's the world's new favourite chatbot, having already amassed more than one million users less than a week after its public launch. But what exactly is ChatGPT, the artificial intelligence system created by a OpenAI, a US company that lists Elon Musk as one of its founders? Well, the chatbot is a large language model that has been trained on a massive amount of text data, allowing it to generate eerily human-like text in response to a given prompt. Here, MailOnline looks at everything you need to know about ChatGPT, including how it works, who can use it, what it means for the future, and any concerns that have been raised. It is the world's new favourite chatbot, having already garnered more than one million users less than a week after its public launch. OpenAI says its ChatGPT model has been trained using a machine learning technique called Reinforcement Learning from Human Feedback (RLHF).

The existing chatGPT knowledge base ends in 2021, but how will it describe the visual world in December 2022? Upload your image and see how OpenAI's assistant sees our reality.

This month, we tackle the topic of AI-generated art and what this means for artists. Joining the discussion this time are: Tom Dietterich (Oregon State University), Sabine Hauert (University of Bristol), Sarit Kraus (Bar-Ilan University), Michael Littman (Brown University), Lucy Smith (AIhub), Anna Tahovská (Czech Technical University), and Oskar von Stryk (Technische Universität Darmstadt). Sabine Hauert: This month our topic is AI-generated art. There are lots of questions relating to the value of the art that's generated by these AI systems, whether artists should be working with these tools, and whether that devalues the work that they do. Lucy Smith: I was interested in this case, whereby Shutterstock is now going to sell images created exclusively by OpenAI's DALL-E 2. They say that they're going to compensate the artists whose work they used in training the model, but I don't know how they are going to work out how much each training image has contributed to each created image that they sell.

Teenagers have always found ways around doing the hard work of actual learning. CliffsNotes date back to the 1950s, "No Fear Shakespeare" puts the playwright into modern English, YouTube offers literary analysis and historical explication from numerous amateurs and professionals, and so on. For as long as those shortcuts have existed, however, one big part of education has remained inescapable: writing. Barring outright plagiarism, students have always arrived at that moment when they're on their own with a blank page, staring down a blinking cursor, the essay waiting to be written. Now that might be about to change.

Has the stale selfie that's served as your profile picture gone a little too long without a refresh? You've likely seen friends using the Lensa AI app to create colorful, custom cartoon images of themselves as ethereal fairies or stern astronauts. Prisma Labs, the company behind Lensa, went viral back in 2016 with a similar (albeit less powerful) app that turned smartphone pics into paintings. The release of Lensa's "magic avatars" feature is a global hit for the company. Recent advancements in generative artificial intelligence allow the app to produce more impressive and varied results than its predecessor.

Artificial intelligence is growing in leaps and bounds, and everywhere from Big Tech companies like Google to small teams like OpenAI are developing more and more convincing chatbots. Is the world ready for convincing, talking computers? If you enjoy this show, please consider signing up for Slate Plus. Slate Plus members get benefits like zero ads on any Slate podcast, bonus episodes of shows like Slow Burn and Dear Prudence--and you'll be supporting the work we do here on What Next TBD. Sign up now at slate.com/whatnextplus to help support our work.

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