Another week has passed us by, which means another issue of Week in Review -- the newsletter where we recap the top stories to hit TechCrunch's front page in the past seven days. The top story this week was about a new set of documents detailing how (and how often) the Department of Homeland Security taps third-party data brokers to obtain potentially sensitive location info while "sidestepping the legal process government officials would typically need to go through." A privacy bill aptly named the "Fourth Amendment Is Not For Sale" act is in the works that would require agencies to get a warrant for this data -- but it's still in its early stages. What else were people reading on TechCrunch? Solar for your balcony: Got a balcony bathed in sunlight and want to make a shift toward renewable energy? That's the idea behind these vertical solar panels designed to strap right onto a balcony's railing.

A case currently before the U.S. Court of Appeals must decide if artificial intelligences should have patent rights on processes they were used to design. Throwing a wrench into the works, OpenAI has announced that artists using its new DALL-E beta software can sell the work: "Starting today, users get full usage rights to commercialize the images they create with DALL·E, including the right to reprint, sell, and merchandise. This includes images they generated during the research preview." First, here's what DALL-E can do: OpenAI's press release for DALL-E 2 markets the advanced tech as a "powerful creative tool" that will speed up and inspire the creative process. But as some have already started to point out, the ability to commercialize DALL-E 2 will likely have a pretty major impact on creative industries -- and some of the resulting ramifications may not be good.

This week, OpenAI granted users of its image-generating AI system, DALL-E 2, the right to use their generations for commercial projects, like illustrations for children's books and art for newsletters. DALL-E 2 "trained" on approximately 650 million image-text pairs scraped from the internet, learning from that dataset the relationships between images and the words used to describe them. But while OpenAI filtered out images for specific content (e.g. As the AI community creates open source implementations of DALL-E 2 and its predecessor, DALL-E, both free and paid services are launching atop models trained on less-carefully filtered datasets. When contacted for comment, the Pixelz.ai

I hope that you enjoy the latest AI news and insights, make sure to check the Web3 section at the end! Second, that these defined categories have equally defined external manifestations on your face. Like many AIs designed to create artwork in various mediums based on prompts, it takes practice and skill to get usable chunks of text -- users have to learn to communicate ideas with the AI, making the process something akin to a machine-human collaboration. Join this webinar on 8/3 to learn how Rakuten Rewards leverages a data mesh strategy with Snowflake & AtScale to deliver data agility and lightning-fast query performance in the cloud.

Marcelo Rinesi remembers what it was like to watch Jurassic Park for the first time in a theater. The dinosaurs looked so convincing that they felt like the real thing, a special effects breakthrough that permanently shifted people's perception of what's possible. After two weeks of testing DALL-E 2, the CTO of the Institute for Ethics and Emerging Technologies thinks AI might be on the verge of its own Jurassic Park moment. Last month, OpenAI introduced the second-generation version of DALL-E, an AI model trained on 650 million images and text captions. It can take in text and spit out images, whether that's a "Dystopian Great Wave off Kanagawa as Godzilla eating Tokyo" or "Teddy bears working on new AI research on the moon in the 1980s."

Artificial intelligence firm OpenAI seems to be covertly modifying requests to DALL-E 2, its advanced text-to-image AI, in an attempt to make it appear that the model is less racially and gender biased. Users have discovered that keywords such as "black" or "female" are being added to the prompts given to the AI, without their knowledge. It is well known that AIs can inherit human prejudices through training on biased data sets, often gathered by hoovering up data from the internet.

Those waiting for a chance to use DALL-E may soon get their turn. The powerful AI tool that generates images based on provided text will open in beta to one million users on the waitlist, OpenAI, the company that created DALL-E, announced today. Users enter a phrase or string of words into DALL-E, and the tool returns its own interpretation in the form of four images, ranging from whimsical to hyperreal. An updated DALL-E 2, launched in April, added the ability to edit existing images. As of last month, the tool was only available to a few thousand as other users waited to be granted access.

This week, OpenAI granted users of its image-generating AI system, DALL-E 2, the right to use their generations for commercial projects, like illustrations for children's books and art for newsletters. DALL-E 2 "trained" on approximately 650 million image-text pairs scraped from the Internet, learning from that data set the relationships between images and the words used to describe them. But while OpenAI filtered out images for specific content (e.g. As the AI community creates open source implementations of DALL-E 2 and its predecessor, DALL-E, both free and paid services are launching atop models trained on less-carefully-filtered data sets. When contacted for comment, the Pixelz.ai

We'll invite 1 million people from our waitlist over the coming weeks. Users can create with DALL·E using free credits that refill every month, and buy additional credits in 115-generation increments for $15. DALL·E, the AI system that creates realistic images and art from a description in natural language, is now available in beta. Every DALL·E user will receive 50 free credits during their first month of use and 15 free credits every subsequent month. Each credit can be used for one original DALL·E prompt generation -- returning four images -- or an edit or variation prompt, which returns three images.

A DALL-E beta subscription won't break the bank: $15 buys you 115 credits, and one credit lets you submit a text prompt to the AI, which returns four images at a time. On top of this, users get 50 free credits in their first month and 15 free credits a month after that. Still, with users typically generating dozens of images at a time and keeping only the best, power users could soon burn through that quota. In the lead-up to this launch, OpenAI has been working with early adopters to troubleshoot the tool. The first wave of users has produced a steady stream of surreal and striking images: mash-ups of cute animals, pictures that imitate the style of real photographers with eerie accuracy, mood boards for restaurants and sneaker designs.