Artificial intelligence has once again become a hot buzzword in tech, even somewhat knocking off the malaise the venture capital markets have been under in the last several quarters. However, this time around it may have real staying power as advancements in generative AI seem to be riding a wave of excitement some have compared to what cloud computing saw nearly two decades ago. "About two years ago, we realized (AI) had crossed a threshold," said Dave Rogenmoser, co-founder and CEO of Austin, Texas-based AI content platform Jasper. "It started producing better end results." Grow your revenue with all-in-one prospecting solutions powered by the leader in private-company data.

It's a series of micro-essays, ranging in length from a sentence to a paragraph, on seemingly disconnected subjects--orchids, rain, the mythic Andean vicuña. Tools such as DALL-E 2, Midjourney, and Stable Diffusion can be instructed, with textual prompts, to produce ersatz oil paintings of dogs in hats in the style of Titian, or simulated photos of plasticine models of astronauts riding horses. Carson's book takes a familiar form, the little lecture, and subverts it, manipulates it, until as the reader you start to feel like you're inside her wonderful brain, scrolling through her mental browser history, joining her in hyperlinked fancies and half-abandoned rabbit holes. These systems roll scenes, territories, cultures--things people thought of as "theirs," "their living," and "their craft"--into a 4-gigabyte, open source tarball that you can download onto a Mac in order to make a baseball-playing penguin in the style of Hayao Miyazaki. AI companies are talking a lot about ethics, which always makes me suspicious, and certain words are banned from the image generator's interface, which is sad because I wanted to ask the bot to paint a "busty" cottage in the style of Thomas Kinkade. It's a series of micro-essays, ranging in length from a sentence to a paragraph, on seemingly disconnected subjects--orchids, rain, the mythic Andean vicuña.

A new report from UN Climate Change says that the world might be on track for 2.5 C of warming by the end of the century, a potentially catastrophic level of warming that's far above the 1.5 C target of the 2015 Paris Agreement. I think it is time to seriously consider a specific solution in which AI can play a meaningful role: Climate geoengineering via stratospheric aerosol injection. Stratospheric aerosol injection involves spraying fine particles that reflect sunlight high in the atmosphere. By increasing the reflectivity (or albedo) of the planet, we can slow down the rate at which sunlight warms it, and thereby buy more time to reduce carbon emissions and develop mitigations. Harvard Professor David Keith explains the science behind this idea is in his book, A Case for Climate Engineering. At the current 1.1 C of warming, the world is already experiencing increased climate-related crises.

The battle of the AI art generators has been heating up as big tech giants enter the ring. While the space is currently dominated by DALL-E 2, Stable Diffusion and Midjourney, Microsoft, Meta and Google have all announced text-to-image (or text-to-video) tools on the way. Now Google's just made its offering public – or at least part of it. Google first gave us a glimpse of Imagen, its AI image generator, back in May with the publication of a proof-of-concept paper and the launch of website showcasing some of the results of the tool. It's just released limited features of the tool to the public – and they're bizarrely specific (for more on how AI art generators work, see our piece on how to use DALL-E 2). A product created in Google's AI Test Kitchen, Imagen is a powerful AI text-to-image art generator that can turn written prompts into convincing images.

Stability AI, the venture-backed startup behind the text-to-image AI system Stable Diffusion, is funding a wide-ranging effort to apply AI to the frontiers of biotech. Called OpenBioML, the endeavor's first projects will focus on machine learning-based approaches to DNA sequencing, protein folding and computational biochemistry. The company's founders describe OpenBioML as an "open research laboratory" -- and aims to explore the intersection of AI and biology in a setting where students, professionals and researchers can participate and collaborate, according to Stability AI CEO Emad Mostaque. "OpenBioML is one of the independent research communities that Stability supports," Mostaque told TechCrunch in an email interview. "Stability looks to develop and democratize AI, and through OpenBioML, we see an opportunity to advance the state of the art in sciences, health and medicine."

We've been talking a lot about text-to-image AI art generators in recent months. And now the controversial creative tech is already moving into the mainstream. Despite DALL-E 2 opening access to all, text-to-image AI has remained a niche interest among developers and creatives and hardly something used as an everyday tool by the general public. A new generation of more accessible apps is taking the text-to-image concept from art to selfies, which means we could now see it everywhere (to learn more about how it works, see our piece on how to use DALL-E 2. Selfies used to be pretty'real'. Phones haven't tended to focus on their front cameras as much as the back ones, and even today, the quality of selfies tends to be lower than anything taken with a phone's main camera. That weakness has been made up for with all manner of filters and skin-smoothing and slimming tools offering digital cosmetic surgery that can leave people unrecognisable.

You won't have to visit a specific website to use DALL-E 2 for much longer. OpenAI has publicly released a beta framework that lets apps and other products use the AI art generator. This includes the natural language descriptions that define DALL-E as well as moderation to filter out hate, gore and similar extreme content. A handful of customers are already using the technology. Microsoft's new Designer app uses DALL-E to create artwork for social media, documents and invitations.

A new Google feature will let consumers use artificial intelligence to bring their fantastical creations to (digital) life by just typing a few words. The app, which Bloomberg reported Thursday is currently under development, will have two functions: users can construct cities with its "City Dreamer" function, or customize a family-friendly cartoon monster with its "Wobble" feature. The tools will be available through Google's AI Test Kitchen app, Douglas Eck, a lead scientist at Google, said at the company's AI@ event in New York on Wednesday. The release date for the new app has not yet been announced. The features will use AI imaging technologies to generate hyper-specific images from even short text descriptions.

On January 5, 2021, OpenAI revealed DALL-E, an artificial intelligence program that creates images from textual descriptions, on January 5, 2021. It uses a 12-billion parameter training version of the GPT-3 transformer model to interpret the natural language inputs and generate corresponding images. Since the initial private beta release, access to DALL-E was limited to those on a waitlist. However, about a month back, on September 28, 2022, DALL-E 2 opened to the public, and the waitlist requirement was lifted. Over the past month, millions of users have explored DALL-E's capabilities using https://labs.openai.com/.

I'll post info about effective use of AI engine such as MidJourney, Dall-e and how to achieve such results and which are the principles of communication with any AI model instructions. Have a good trip:) Follow: https://twitter.com/MidJourneyAI_ If you have Telegram, you can view and join MidJourney AI Generated Art Gallery right away.