Hey, in this issue: PyTorch joins the Linux Foundation; deep learning'revolution' rages on; why the explainable AI market is growing rapidly; deep learning could bring the concert experience home; AI system makes models like DALL-E 2 more creative; a review of sparse expert models in deep learning; and more. This issue is sponsored by AtScale and Edge Impulse. Your Semantic Layer is what makes data discoverable and usable - if it's designed correctly. Join Snowplow, Databricks, AtScale, and 30 top industry technologists to learn best practices and discuss the latest developments in semantic layers for enterprise data. More than 600,000 subscribers are reading this newsletter.

Unfortunately, it is costly to experiment with, so use the following code to create your own AI art generator without limits.

Social media platforms constantly keep evolving--each platform does their mightiest best to get users more addicted. In the context of technology, 'addiction' hardly carries a negative connotation. The more addictive a digital experience is, the more immersive it is considered. Among the current crop of social media companies, ByteDance's TikTok takes the cake. If social media is in the business of addiction--TikTok is crack cocaine.

"Is AI Coming For Commercial Art?" rendered by Stable Diffusion, prompted by Rob Salkowitz Earlier this summer, a piece generated by an AI text-to-image application won a prize in a state fair art competition, prying open a Pandora's Box of issues about the encroachment of technology into the domain of human creativity and the nature of art itself. As fascinating as those questions are, the rise of AI-based image tools like Dall-E, Midjourney and Stable Diffusion, which rapidly generate detailed and beautiful images based on text descriptions supplied by the user, pose a much more practical and immediate concern: They could very well hold a shiny, photorealistically-rendered dagger to the throats of hundreds of thousands of commercial artists working in the entertainment, videogame, advertising and publishing industries, according to a number of professionals who have worked with the technology. How impactful would this be to the global creative economy that runs on spectacular imagery? Think about the 10 minutes of credits at the end of every modern Hollywood blockbuster. Same with videogames, where commercial artists hone their skills for years to score plum jobs like concept artist and character designer.

On Thursday, a few Twitter users discovered how to hijack an automated tweet bot, dedicated to remote jobs, running on the GPT-3 language model by OpenAI. Using a newly discovered technique called a "prompt injection attack," they redirected the bot to repeat embarrassing and ridiculous phrases. The bot is run by Remoteli.io, It would normally respond to tweets directed to it with generic statements about the positives of remote work. After the exploit went viral and hundreds of people tried the exploit for themselves, the bot shut down late yesterday. This recent hack came just four days after data researcher Riley Goodside discovered the ability to prompt GPT-3 with "malicious inputs" that order the model to ignore its previous directions and do something else instead.

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! In April 2022, OpenAI -- the artificial intelligence (AI) company cofounded by Elon Musk, Sam Altman, Ilya Sutskever, Greg Brockman, Wojciech Zaremba and John Schulman -- debuted DALL-E 2, an AI tool that can create realistic images and art from a description in natural language, like "teddy bears working on new AI research on the moon in the 1980s," for instance. In an attempt to take a step toward artificial general intelligence (AGI) by rendering it with the sense of sight, OpenAI created an internet sensation. In the company's words, "DALL-E 2 will empower people to express themselves creatively."

A collage of images made using Stability AI's online tool, which allows users to create AI-generated images by typing in a text prompt: (from left) a portrait of Beyonce in the style of Vincent van Gogh, a cyberpunk cityscape in the style of Japanese artist Hokusai and a science fiction alien world. With the image generator Stable Diffusion, you can conjure within seconds a potrait of Beyoncé as if painted by Vincent van Gogh, a cyberpunk cityscape in the style of 18th century Japanese artist Hokusai and a complex alien world straight out of science fiction. Released to the public just two weeks ago, it's become one of several popular AI-powered text-to-image generators, including DALL-E 2, that have taken the internet by storm. Now, the company behind Stable Diffusion is in discussions to raise $100 million from investors, according to three people with knowledge of the matter. Investment firm Coatue expressed initial interest in a deal that would value the London-based startup Stability AI at $500 million, according to two of the people.

Ramachandran quotes a variety of sources--Indian government officials, a motley bunch of academics and Indian-American author Rajiv Malhotra, who goes on to claim that Sanskrit should be credited with the last 20 years of development in Natural Language Processing (NLP), the technology behind prominent LLMs like GPT-3, DALL-E 2, etc. The claims are wide-ranging: Sanskrit is the most'scientific' language, and so the "best to programme computers, or code AI/ML"; it is the "language for future super computers", etc. One common source that everyone cites, and which Ramachandran explores in detail, is "Nasa". Yes, the same Nasa that sends rockets into space. The reference actually has a published source, a 1985 paper'Knowledge Representation in Sanskrit and Artificial Intelligence' by Nasa researcher Rick Briggs (bit.ly/3qrIjMr).

An art prize at the Colorado State Fair was awarded last month to a work that – unbeknown to the judges – was generated by an artificial intelligence system. Social media have also seen an explosion of weird images generated by AI from text descriptions, such as "the face of a shiba inu blended into the side of a loaf of bread on a kitchen bench, digital art". You may be wondering what's going on here. As somebody who researches creative collaborations between humans and AI, I can tell you that behind the headlines and memes a fundamental revolution is under way – with profound social, artistic, economic and technological implications. You could say this revolution began in June 2020, when a company called OpenAI achieved a big breakthrough in AI with the creation of GPT-3, a system that can process and generate language in much more complex ways than earlier efforts.

Dall-E is a neural network that creates images from text captions for a wide range of concepts expressible in natural language. Machine learning models developed by OpenAI to generate digital images from natural language descriptions. This NFT grants the holder eligibility to participate in future Maritime Vintage airdrops and member giveaways.