In my previous Article about Generative AI, I tried to set up the basics by giving a definition of this new technology trend, explaining its use cases and how the underlying algorithms where working. Now I want to extend a little bit on which type of actors will emerge of this trends, what are the opportunities for entrepreneurs and what will be the challenges they will be facing. Most industries could be impacted by Generative AI, but some more than others. Here I'll discuss some of the most important ones from my point of view. Copywriting is the most obvious and notorious usage of Generative AI.

Arthur C. Clarke once remarked, "Any sufficiently advanced technology is indistinguishable from magic." That ambient sense of magic has been missing from the past decade of internet history. Each new tablet and smartphone is only a modest improvement over its predecessor. The expected revolutions--the metaverse, blockchain, self-driving cars--have plodded along, always with promises that the real transformation is just a few years away. The one exception this year has been in the field of generative AI.

Check out all the on-demand sessions from the Intelligent Security Summit here. Exactly three weeks ago, OpenAI released ChatGPT. Since then, it has been nearly impossible to keep up with both the hyped-up excitement and brow-furrowing concerns around use cases for the text-generating chatbot, ranging from the fun (writing limericks and rap lyrics) and the clever (writing prompts for text-to-image generators like DALL-E and Stable Diffusion) to the dangerous (threat actors using it for generating phishing emails) and the game-changing (could Google's entire search model [subscription required] be upended?). Is it possible to compare this moment in the evolution of generative AI to any other technology development? According to Forrester Research AI/ML analyst Rowan Curran, it is.

ChatGPT could well be a glimpse into a not-too-distant future where artificial intelligence (AI) can converse, inform and educate our human minds – even offer an immediate solution to my daughter's Year 12 English essay. The model is the creation of OpenAI, a San Francisco-based tech company that wants "to ensure that artificial general intelligence benefits all of humanity". Investors include Silicon Valley luminaries such as Reid Hoffman, Elon Musk and Peter Thiel. OpenAI's biggest benefactor, however, has been Microsoft, which invested $1 billion in the company in 2019 and helped facilitate the ChatGPT project with training on Azure AI supercomputing infrastructure. If you haven't tried it, ChatGPT is free and accessible via a registration link here.

When evaluating the most significant innovations of any calendar year, it's often a struggle to decide among a handful of equally worthy contenders. Over the last 12 months, one category of technology has made headlines so often and has impacted society so significantly, there is no question that 2022 will be remembered as the year that Generative AI stunned the world. I don't just mean stunned the general public. Even lifelong technologists and AI researchers like myself were genuinely surprised by the speed and impact of recent advancements. So, what is Generative AI? It's a branch of artificial intelligence that enables computers quickly and convincingly to create original content ranging from images and artwork to poetry, music, text, video, dialog, and even computer code.

But there's a similar sentiment that talented creative minds should keep in mind, as the annual threat of human-supplanting artificial intelligence (AI) once again is hitting headlines. Because no matter how often techies and TikTokers try to tell us otherwise, the truth is simple: Machines can never take... our... creativity! This year, the latest threat is ChatGPT, a generative artificial intelligence language program created by OpenAI designed to engage with users in natural, human-sounding conversation and develop novel answers to even highly-detailed inquiries. Upon its unceremonious beta release, people everywhere began the debate on the potential for abuse and disruption. How will teachers get students to write their own papers, when ChatGPT can spit one out in seconds?

Honestly, I didn't expect to be hallucinating with Artificial Intelligence and Deep Learning so soon. Dall-E 2, Midjourney and Stable Diffussion Whisper CHATGPT (as an extra we could include them in the GPT-3 family). Well, I could leave it there, and it would make a good tweet, or at most a small thread, but since I don't like to talk without trying to demonstrate what I'm saying, I'm going to do a small experiment. Here it goes: I'm going to choose a speech, a motivating and public speech, and I will work on it with the help of these AIs. At first I wanted to select a speech by my General Manager in Spain, a person whom I admire, and I would have loved to do this on one of his last public speeches; but then I got scared, because I haven't asked for permission from the Legal Department or the Communications Department of the company.

This year, it feels like artificial intelligence-generated art has been everywhere. In the summer, many of us entered goofy prompts into DALL-E Mini (now called Craiyon), yielding a series of nine comedically janky AI-generated images. But more recently, there's been a boom of AI-powered apps that can create cool avatars. MyHeritage AI Time Machine generates images of users in historical styles and settings, and AI TikTok filters have become popular for creating anime versions of people. This past week, "magic avatars" from Lensa AI flooded social media platforms like Twitter with illustrative and painterly renderings of people's headshots, as if truly made by magic. These avatars, created using Stable Diffusion -- which allows the AI to "learn" someone's features based off of submitted images -- also opened an ethical can of worms about AI's application.

In the spirit of this article's topic, we asked ChatGPT--a generative AI language model that can create original content in response to a user prompt--how it would set the context. Write the opening paragraph for an article about how transformative generative AI will be for business, in the style of McKinsey & Company. The rise of generative AI has the potential to be a major game-changer for businesses. This technology, which allows for the creation of original content by learning from existing data, has the power to revolutionize industries and transform the way companies operate. By enabling the automation of many tasks that were previously done by humans, generative AI has the potential to increase efficiency and productivity, reduce costs, and open up new opportunities for growth.

Prediction 6: Efforts to develop humanoid robots will attract considerable attention, funding and ... [ ] talent. Several new humanoid robot initiatives will launch. Rumors have been flying recently about GPT-4, the next generation of OpenAI's powerful generative language model. Expect GPT-4 to be released early in the new year and to represent a dramatic step-change performance improvement relative to GPT-3 and 3.5. As manic as the recent hype around ChatGPT has been, it will be a mere prelude to the public reaction when GPT-4 is released. What will GPT-4 be like? Perhaps counterintuitively, we predict that it won't be much larger than its predecessor GPT-3.