Depending on who you ask, generative AI is either massively overhyped or undervalued. Defined as algorithm-driven tech that creates text, art and other forms of media given a prompt, it's captured the attention of major VC backers who've piled hundreds of millions of dollars into firms like Jasper and Stability AI. But generative AI has yet to generate (no pun intended) correspondingly high returns, casting doubt on its near-term profit-making potential. Emmanuel de Maistre and Hervé Nivon think the problem is the application of the tech rather than the tech itself. While startups such as Stability AI aim to tackle a broad number of use cases with their generative AI, de Maistre and Nivon advocate for a narrower, slightly more focused approach.

Stable Diffusion is an AI model that can generate images from text prompts. The tool is similar to MidJourney or DALL-E 2. You can access the Stable Diffusion model online or deploy it on your local machine. In this article, we will review both approaches as well as share some practical tools. DreamStudio is an online tool created by Stability AI, the team responsible for Stable Diffusion. It provides access to the latest version of Stable Diffusion models (for example, below, you can see that I generated the image using Stable Diffusion ver 2.1–768).

Provides approximate text prompts that can be used with stable diffusion to re-create similar looking versions of the image/painting. Try it by copying the text prompts to stable diffusion! A slightly adapted version of the CLIP Interrogator notebook by @pharmapsychotic. If this notebook is helpful to you please consider buying @pharmapsychotic a coffee via ko-fi or following @AIMindFlow and @pharmapsychotic on twitter for more cool Ai stuff. The CLIP Interrogator uses the OpenAI CLIP models to test a given image against a variety of artists, mediums, and styles to study how the different models see the content of the image.

Ukraine is on a list of nations unable to access OpenAI's ChatGPT. The war-torn country would like this to change, with the country's vice prime minister appealing to the chatbot's owners to provide access.

While there are some concerns about how generative AI chatbots such as ChatGPT can be used maliciously -- to craft phishing campaigns or write malware -- several companies are harnessing the power of conversational AI technology to enhance their product capabilities, including for security. ChatGPT, a large language model (LLM) developed by OpenAI, uses GPT 3 LLM and relies on large test data sets culled from multiple sources. ChatGPT, which can understand human language, provides detailed answers to simple questions and can handle complex tasks such as creating documents and writing code in response to user queries. It's an example of how conversational AI can be used to organize large volumes of information and enhance user experience and communications. For instance, a conversational AI tool -- whether that's ChatGPT or something else -- could serve as the back end of an information concierge that automates the use of threat intelligence in enterprise support, according to IT research and advisory firm Into-Tech Research.

MINNEAPOLIS – Since its public launch in November, ChatGPT has taken the world by storm. The free artificial intelligence chatbot has attracted the attention of giant companies like Microsoft, who will reportedly cut a potential $10 billion deal with the company who owns ChatGPT, OpenAI. "What's unique about this is that it presents information in a way that a human would," says Gene Munster, a managing partner for Loup Ventures, a technology research and investment firm. "It essentially has the ability to think." Artificial intelligence research has been happening for decades, but only recently has it gotten good enough that OpenAI released its ChatGPT chatbot to the public via an easy-to-use website.

Engineered organs that could end transplant waiting lists, abortion pills on demand and mass-marketing military drones that will revolutionize warfare are among those listed on MIT Technology Review's 10 Breakthrough Technologies of 2023. The list also includes the use of CRISPR to edit away people's problems with high cholesterol by rewriting a sliver of their DNA, artificial intelligence that makes artwork and NASA's James Webb Space Telescope, which is set to remodel our knowledge of the cosmos. The 22nd annual list features critical technological advances predicted to change how we live and work fundamentally. MIT Technology Review, owned by the Massachusetts Institute of Technology, compiled the list of companies or institutions set to develop breakthroughs and when the public can expect these innovations. Mat Honan, editor-in-chief of MIT Technology Review, said: 'Our breakthrough technologies lists are fascinating snapshots of the evolution of big tech innovation breakthroughs.

In the next five years, it is likely that AI will begin to reduce employment for college-educated workers. As the technology continues to advance, it will be able to perform tasks that were previously thought to require a high level of education and skill. This could lead to a displacement of workers in certain industries, as companies look to cut costs by automating processes. While it is difficult to predict the exact extent of this trend, it is clear that AI will have a significant impact on the job market for college-educated workers. It will be important for individuals to stay up to date on the latest developments in AI and to consider how their skills and expertise can be leveraged in a world where machines are increasingly able to perform many tasks.

That's the bullish view, and it's one that you'll hear a lot in Silicon Valley and Seattle these days. While Google, Microsoft, and other tech giants have been testing and honing AI models for years, a new crop of risk-taking upstarts has stolen their thunder by taking their experimental AI programs directly to the public. The release of tools like ChatGPT, DALLE-2, Stability AI's Stable Diffusion and Midjourney in the past year has made "generative AI" -- software that draws on vast data sets to create novel works -- the industry's buzziest byword.

Artificial intelligence had a huge moment in 2022. The chatbot ChatGPT, developed by OpenAI, gained notoriety for its ability to engage in seemingly human-like conversations, sparking curiosity and serious conversations about where this technology is headed. Applications in national security and space are poised to benefit from this new age of AI, says technologist Patrick Biltgen, principal at the defense and intelligence contractor Booz Allen Hamilton. He says the industry is just beginning to grasp the potential of so-called generative AI, with tools like ChatGPT that create coherent and convincing written content and models like DALL-E 2 that come up with realistic images from a description in natural language. Defense and aerospace organizations have long sought AI for its ability to automate tasks, shorten decision cycles and bring autonomy into systems.