Can Computers be Creative? How? How can [a creative idea] arise, then, if not by magic? And how can one impossible idea be more surprising, more creative, than another? How can creativity happen?
– from Margaret Boden. Creativity and Unpredictability. Stanford Electronic Humanities Review 4(2), 1995.
The often delightful and arresting images created by the latest generation of text-to-image generators, exemplified by DALL-E 2, Midjourney, and Stable Diffusion, have stirred up lots of buzz in both the arts and the AI worlds. The images, generated from simple text prompts (e.g., a baboon sailing a colorful dinghy), look very much like the products of intelligent human creativity. To explore just how creative these models really are and what they can teach us about the nature of our own innovative propensities, we asked four authorities on artificial intelligence, the brain, and creativity (and we also asked GPT-3, a language-generating model that's a close cousin to DALL-E) to explain what they think of DALL-E's capabilities and artistic potential. DALL-E starts by taking billions of bits of text from the internet and translating them into an abstraction, which it stores in a location in "latent," or logical, space. In the universe of describable things, for example, "baboon" will be "located" by strong associations near to other primates, probably not far from "Africa," "savanna," or "zoo."
OpenAI – one of the world's leading artificial intelligence research laboratories – released the text generator ChatGPT and the image generator DALL-E 2. While both programmes represent monumental leaps in natural language processing and image generation, they've also been met with apprehension. Some critics have eulogised the college essay, while others have even proclaimed the death of art. But to what extent does this technology really interfere with creativity? After all, for the technology to generate an image or essay, a human still has to describe the task to be completed. The better that description – the more accurate, the more detailed – the better the results. After a result is generated, some further human tweaking and feedback may be needed – touching up the art, editing the text or asking the technology to create a new draft in response to revised specifications.
Human intelligence and intuition are vital to training artificial intelligence (AI) and machine learning (ML) models to provide enterprises with hybrid cybersecurity at scale. Combining human intelligence and intuition with AI and ML models helps catch the nuances of attack patterns that elude numerical analysis alone. Experienced threat hunters, security analysts and data scientists help ensure that the data used to train AI and ML models enables a model to accurately identify threats and reduce false positives. Combining human expertise and AI and ML models with a real-time stream of telemetry data from enterprises' many systems and apps defines the future of hybrid cybersecurity. "Based on behaviors and insights, AI and ML allow us to predict [that] something will happen before it does," says Monique Shivanandan, CISO at HSBC, a global bank.
Check out all the on-demand sessions from the Intelligent Security Summit here. Human intelligence and intuition are vital to training artificial intelligence (AI) and machine learning (ML) models to provide enterprises with hybrid cybersecurity at scale. Combining human intelligence and intuition with AI and ML models helps catch the nuances of attack patterns that elude numerical analysis alone. Experienced threat hunters, security analysts and data scientists help ensure that the data used to train AI and ML models enables a model to accurately identify threats and reduce false positives. Combining human expertise and AI and ML models with a real-time stream of telemetry data from enterprises' many systems and apps defines the future of hybrid cybersecurity.
Why for Homo sapiens to become Homo deus, it must stop to be Homo stupidus? All my conscious life I have been studying intelligence, as "the power/ability/capacity to know and learn, understand and infer, decide and effectively interact with the world, at all its forms and levels". The latent variables describes unobservable aspects of reality, physical, mental, social or digital. They could relate to abstract entities, like real-world/ontological categories and classes, mentality or machine intelligence, or data structures. In human intelligence, the underlying causes of the observed variables is the g factor (general intelligence, general mental/cognitive ability or general intelligence factor), computed by the IQ.
This month, the internet was flooded with stunningly ethereal digital art portraits, thanks to the work of the latest artificial intelligence-assisted application to go viral: Lensa. Users uploaded their photographs to the app and then – for a small fee – it used AI to transform their profile pictures into, say, a magical elfin warrior princess version of themselves, in no time at all. This year has seen a breakthrough for AI-driven image generators, which are now better than ever in quality, speed and affordability. The AI models are "trained" on millions of pieces of image and text data scraped from publicly available content online, and as in the case of Microsoft-backed DALL-E, can turn short text prompts such as "Ronald McDonald performing open heart surgery" into unique images. Anyone can now produce professional-looking images tailored to their desires, without having any training in art or design themselves.
Imagine being able to generate endless ideas, simulate real-world behavior, and make smart decisions with the help of a computer program. AI is not only changing the way we design products, but it has the potential to change the world through the creation of transformative products. Embrace its power and let it help you design the future. Artificial intelligence (AI) is a type of computer technology that can simulate human intelligence, such as learning, problem-solving, and decision-making. This revolutionary technology is increasingly being used in product design to help companies create new and innovative products.
Today, companies are faced with two enormous challenges: complexity coupled with an ever-increasing speed of change. Technology like artificial intelligence (AI) can help to overcome those challenges. These technological advancements are automating, augmenting and combining human intelligence and the power of decision intelligence to enable smarter and more efficient decision-making processes. Ronald van Loon is a paretos partner and has used the decision intelligence platform to support key business decisions. Businesses must maintain a heightened awareness of ever-changing circumstances and real-world scenarios, analyze these perspectives and information, and act with timing.
Recently I innocently posted online (okay, maybe not so innocently) a few graphic images from a hot and hip open-source AI image generator called Stable Diffusion 2. The reason for this was an ongoing debate I have had for years with an architect friend of mine. My position is that AI will eventually (in our lifetimes) compete successfully with human creativity in essentially every conceivable field. My architect friend, and most people, do not agree. I wanted to show my friend that the AI could create a pleasing, surprising and imaginative graphic for the cover of a hypothetical book on modern architecture, or perhaps a banner ad for an architecture conference. So I typed the following into the text box on the front page of the Stable Diffusion 2 website: "architect imagination, building with clean lines, impressionist".