According to The Information, OpenAI received an implied valuation of nearly $20 billion in a stock sale that took place last year. The participants in the stock sale reportedly included Sequoia Capital, Tiger Global Management, Bedrock Capital and Andreessen Horowitz.

The company Mubert is now venturing into a generative AI system that creates music based on text input. It is still in its infancy. Founded in 2017, U.S. startup Mubert specializes in generative AI for royalty-free music. Mubert's text-to-music app is a first attempt at generative AI that generates music from text input. A demo version at Huggingface allows users to input the prompt, from which the system then pulls individual keywords and matches them to the internal tagging of recorded sound clips, assembling a piece up to 100 seconds long.

AI has been rapidly finding industrial applications, such as the use of large language models to automate enterprise IT. Those applications may make the question of actual intelligence moot. The British mathematician Alan Turing wrote in 1950, "I propose to consider the question, 'Can machines think?'" His inquiry framed the discussion for decades of artificial intelligence research. For a couple of generations of scientists contemplating AI, the question of whether "true" or "human" intelligence could be achieved was always an important part of the work.

AI image generators, which create fantastical sights at the intersection of dreams and reality, bubble up on every corner of the web. Their entertainment value is demonstrated by an ever-expanding treasure trove of whimsical and random images serving as indirect portals to the brains of human designers. A simple text prompt yields a nearly instantaneous image, satisfying our primitive brains, which are hardwired for instant gratification. Although seemingly nascent, the field of AI-generated art can be traced back as far as the 1960s with early attempts using symbolic rule-based approaches to make technical images. Yilun Du, a PhD student in the Department of Electrical Engineering and Computer Science and affiliate of MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), recently developed a new method that makes models like DALL-E 2 more creative and have better scene understanding. Here, Du describes how these models work, whether this technical infrastructure can be applied to other domains, and how we draw the line between AI and human creativity.

There is a trending new AI tool on the block, but instead of creating images, this AI tool analyzes them and spits out crude roasts of anyone they depict. Days are gone netizens leveraged DALL·E 2 and racist image-spewing DALL·E mini to generate silly art for Twitter shit posting. The new AI tool, known as the CLIP Interrogator and created by a generative artist who goes by the handle Pharma psychotic, is technically an artificial intelligence powered tool to discover "what a good prompt might be to generate new AI art like an existing one." In reality, CLIP Interrogator tends to spit out descriptions of people that can be mundane, puzzling, staggeringly insensitive, and, at times, admittedly a bit hilarious. The new AI tool told one user she looked "tired and drunk," for instance, and accused another user of having a "deformed face."

I think we can all agree that 2022 is the year of the AI generative art boom. If you've been keeping tabs on social media, you've likely seen some artificial intelligence-inspired memes floating around on your newsfeed. Some of the most widely shared images were developed by DALL-E Mini, now known as Craiyon, a publicly accessible image generation tool that debuted this year. Now, three additional applications, Midjourney, DALL-E 2, and Stable Diffusion have beta versions that are available to play with today! At a distance, it looks like the four tools operate with the same premise -- enter a text-based prompt and receive a series of relevant pictures through advanced machine learning that combs through and learns from millions of images on the internet.

Amidst the Russian invasion of Ukraine, the risk of nuclear war is now larger than it has been since the end of the Cold War. The spectre of nuclear annihilation, once thought a thing of the past, has returned. While technology can avert some forms of annihilation, for example by diverting major asteroid strikes, these naturally occurring risks are likely small, evidenced by our long history free from them. The same cannot be said for those caused or exacerbated by technology. Nuclear war, climate change, engineered bioweapons, and even pandemics: these risks are unfortunately all too familiar.

If you have been tracking anything about anything in AI, you would know that this year belongs to generative AI. Generative AI models have accomplished what was unthinkable five years ago. Creative labour, once considered to be under the realm of humans, has been overtaken by machines. Machines can now create things entirely new – write code, poetry, stories, design 3D products, create images and videos with little to no human help. Since AI research in these areas moves at a breakneck pace, investors are flocking startups working with generative AI models.

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Sarah Guo, founder of venture capital firm Conviction, organized a buzzy salon at a posh bar in San Francisco last week that drew an animated crowd of engineers, entrepreneurs, and financiers. Guo's event was just one of several held last week in San Francisco by investors and technologists excited by the commercial potential of what has been dubbed "generative AI." Her guests included AI engineers from large tech companies, fellow investors, and entrepreneurs building businesses powered by recent advances in algorithms that generate text or images. One of the guests of honor was Clement Delangue, CEO of Hugging Face, a company that hosts a number of open source generative AI projects, including one that recently sparked a frenzy of AI memes. He answered questions from engineers thinking about jumping onto the bandwagon with generative AI startups of their own. "It's just the hottest area from a fundraising perspective right now," Guo says.