GPT-3 is a language model that can generate text that sounds just like a human wrote it. Through OpenAI Playground, it's free to use for the first three months and there are plenty of reasons why you should check it out. While some crafty students are using it to complete their homework, it's also useful for writing birthday wishes or generating a list of pet names for your future pet. Then GPT-3's got you covered for that too! OpenAI's GPT-3 is a language model that has been trained on more text than you are likely to ever read in a lifetime.

This year we've seen a dizzying number of breakthroughs in generative AI, from AIs that can produce videos from just a few words to models that can generate audio based on snippets of a song. Last week, Google held an AI event in its swanky, brand-new offices by the Hudson River in Manhattan. Your correspondent stopped by to see what the fuss was about. In a continuation of current trends, Google announced a slew of advances in generative AI, including a system that combines its two text-to-video AI models, Phenaki and Imagen. Phenaki allows the system to generate video with a series of text prompts that functions as a sort of script, while Imagen makes the videos higher resolution.

A class-action lawsuit has been launched against OpenAI and Microsoft over GitHub Copilot. GitHub Copilot uses technology from OpenAI to help generate code and speed up software development. Microsoft says that it is trained on "billions of lines of public code … written by others." Last month, developer and lawyer Matthew Butterick announced that he'd partnered with the Joseph Saveri Law Firm to investigate whether Copilot infringed on the rights of developers by scraping their code and not providing due attribution. This could unwittingly cause serious legal problems for GitHub Copilot users. "Copilot leaves copyleft compliance as an exercise for the user.

The next generation of developers has a chance to use generative AI. One-person businesses are giving the creative economy a new start. Fast models make it possible to make money.

In recent years, artificial intelligence (AI) has made incredible strides in its ability to generate human-like text. As a result, AI writing is becoming increasingly commonplace, with businesses and organisations using it to create everything from marketing copy to financial reports. While AI writing is still in its early stages and far from perfect, it's clear that it poses a threat to the livelihood of professional writers. After all, if a machine can produce text that is indistinguishable from that of a human writer, why would anyone need to hire a real person to do the job? It's not just low-skilled jobs like content writing that are at risk of being automated by AI.

Machine learning algorithms are becoming very greedy in terms of computing resources.

Generative AI is in a Cambrian explosion of capability. This is just the beginning, Glimpse AI CEO Alex Cardinal told me in a recent TechFirst podcast. The ultimate thing for AI to create is more of itself. God creating Adam, in an image Dall-E created based on a prompt from the writer. Dall-E has major ... [ ] trouble with fingers still ... "The most exciting part of it all ... is when maybe AI is also at the point where it can start writing the code that will make its own AI even better," Cardinal says.

Almost everyone knows HAL from '2001: A Space Odyssey,' the intelligent and, in the course of the film, increasingly sentient spaceship computer, who, with soft-spoken sangfroid, proceeds to murder the human crew that is supposed to control him. More realistic examples continue the already many decades old automation and mechanisation of labour. Today not only manual but even a range of creative tasks, like illustrating or copywriting, can be replaced by complex machines that render people not only jobless, but their skillset more or less obsolete. There is a third negative scenario that stirs up even deeper existential anxieties, not because computers become more human, but because humans become less unique, more boring, predictable, even mechanical. Using artificial neural networks, AI has the capacity to learn from its mistakes to better predict, as in the case of marketing, a customer's preferences, or, in the case of image generation programs like the popular DALL-E 2, make photorealistic or expressionistic images.

Artificial intelligence is feared to one day take over humanity, but as for now people are using it to create stunning pieces of artwork that are now hanging in the first gallery inspired by Dalle-E - an AI-powered system that generates digital images through text inputs. The artwork, which is physically on display in San Francisco, was created by the'artist' inputting specific terms or selecting recommendations from the AI - all the pieces are for sale, with one for $5,000. However, one of the sculptures was created by reading the creators brainwaves and body signals to choose an initial AI-generated image that led to the finish piece. The gallery has been met with controversy as traditional artists do not accept the digital images as true art, noting it does not have the same hallmark of human creativity. Human engineers, however, note that there is more that goes into creating the AI-generated pieces, such as tweaking and refining specific options and features to create a perfect picture.

Microsoft and its computer code-sharing website GitHub, as well as artificial intelligence firm OpenAI, are being sued in California. "We contend that the defendants have violated the legal rights of a vast number of creators who posted code or other work …