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 …

Google last week unpacked a host of critical new artificial intelligence (AI) advancements, particularly in the areas around generative AI such as language analysis, text-to-video, and assisted writing capabilities. Along with other enticing developments around ethical AI, Google revealed it would be working on AI in at least one thousand languages going forward. At the Google AI event held at the company's Pier 57 offices in New York City on November 2, the global technology titan highlighted areas of focus to include democratizing AI development pathways, "building for everyone" responsible, controlled models which can identify generative AI -- unsupervised artificial intelligence learning algorithms that can create new digital audio, text, imagery, video, or code -- along with advancing language translation, disaster management, and health AI. Google shared the first rendering of a video that shares both of the company's complementary text-to-video research approaches -- Imagen Video and Phenaki. The interest of global communities was piqued by the announcement that language abilities are being developed using AI for the world's one thousand most spoken languages, showcasing another major area of artificial intelligence focus as tech giants compete to dominate the internet's next battleground.

Burkina Faso is a multi-cultural and diverse country with a rich history. In this article, we explore how personal names can be interpreted to reflect regional, ethnic appartenance within the country. Then we illustrate how the use of a personal name can affect a black-box Artificial Intelligence – such as OpenAI's DALL-E. This is a first article in our series of blog posts with tag #thisnamedpersondoesnotexist.

The program, known as Copilot, was created in collaboration with GitHub Inc. and Microsoft Corp., both also named as defendants in the complaint filed Thursday in the US District Court for the Northern District of California. Copilot uses AI models to generate code that replicates publicly available code, but doesn't follow open-source licensing guidelines like attribution to the author, a notice of … The program, known as Copilot, was created in collaboration with GitHub Inc. and Microsoft Corp., both also named as defendants in the complaint filed Thursday in the US District Court for the Northern District of California. Copilot uses AI models to generate code that replicates publicly available code, but doesn't follow open-source licensing guidelines like attribution to the author, a notice of …