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).

Out in the deep waters of the Gulf of Mexico, a young woman named Rachel clings to the side of an oil rig. The wind whips her auburn hair into a wild tangle, and ocean spray drenches her jeans, but she climbs on, determined to uncover evidence of illegal drilling. When she arrives on board, however, she finds something far more sinister at play. This is a snippet of Oil and Darkness, a horror movie set on an oil rig. It features environmental activist Rachel, guilt-ridden rig foreman Jack, and shady corporate executive Ryan, who has been conducting dangerous research on a "new type of highly flammable oil." It's the kind of movie you could swear you caught the second half of once while late-night channel-hopping or dozed blearily through on a long-haul flight.

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.

With the release of large language models (LLMs) like ChatGPT - a question-answering chatbot - and Galactica - a tool for scientific writing - comes a new wave of an old conversation about what these models can do. Their capabilities have been presented as extraordinary, mind-blowing, autonomous; at its peak, fascinated evangelists claimed that these models contain "humanity's scientific knowledge", are approaching Artificial General Intelligence (AGI), and even resemble consciousness. However, such hype is not much more than a distraction from the actual harm perpetuated by these systems. People get hurt from the very practical ways such models fall short in deployment, and these failures are the result of choices made by the builders of these systems - choices we are obliged to critique and hold model builders accountable for. Among the most celebrated AI deployments is the use of BERT - one of the first large language models developed by Google - to improve Google search engine results.

Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine. Electronic health records (EHRs) need a new public relations manager. Ten years ago, the U.S. government passed a law that strongly encouraged the adoption of electronic health records to improve and streamline care. The enormous amount of information in these now-digital records could be used to answer very specific questions beyond the scope of clinical trials: What's the right dose of this medication for patients with this height and weight? New research could help make it significantly simpler to use the information in electronic health records for personalized medicine.

This week, many of us saw our social media feeds taken over by colorful, surreal pictures of people we follow, except they don't quite look like themselves. The images were generated by Lensa AI, and it's the latest in what feels like a now-annual trend to use a new app to create mockups of your face in various scenarios. Alongside Lensa, some folks also saw blocks of text from another AI generator, ChatGPT. So on this episode of the podcast, Devindra and Cherlynn chat the appeal, implications and possible future of these types of AI, before being joined by Engadget editor-at-large James Trew for a check in on the state of action cameras. Listen below or subscribe on your podcast app of choice.

DeepMind's AlphaCode program takes a data-driven approach to coding.

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.

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