Artificial intelligence has made remarkable progress with still images. For months, services like Dall-E and Stable Diffusion have been creating beautiful, arresting and sometimes unsettling pictures. Now, a startup called Runway AI Inc. is taking the next step: AI-generated video. On Monday, New York-based Runway announced the availability of its Gen 2 system, which generates short snippets of video from a few words of user prompts. Users can type in a description of what they want to see, for example: "a cat walking in the rain," and it will generate a roughly 3-second video clip showing just that, or something close.

ARTIFICIAL intelligence experts have warned that we should slow down the development of AI as it continues to advance at a rapid rate. Several concerns were raised in a recent report by Vox which claimed "pumping the brakes" on AI could be the best thing for humanity. "I'm really scared of a mad-dash frantic world, where people are running around and they're doing helpful things and harmful things, and it's just happening too fast. "If I could have it my way, I'd definitely be moving much, much slower," Ajeya Cotra, an AI-focused analyst at Open Philanthropy, told Vox. Big brands like Google and Microsoft are working on their own AI bots despite growing concerns. Microsoft has even teamed up with ChatGPT creator OpenAI to create its own controversial AI. OpenAI CEO Sam Altman recently admitted that even he is a "little bit scared" of the technology. Altman said in an interview with ABC News that he had concerns about how fast AI could be used to spread disinformation. He also has worries about how it will affect elections and the work place. The CEO said: "I'm particularly worried that these models could be used for large-scale disinformation.

In a recent column, New York Times technology correspondent Kevin Roose revealed a conversation he had shared with Bing's Chatbot that's equal parts fascinating and unsettling. The artificial intelligence service in question is a sibling of the popular ChatGPT, produced by the American artificial intelligence company OpenAI. But Roose wasn't just chatting with the OpenAI Codex, the company's most recent model, he was speaking with its chat mode persona, Sydney, a name given to it by Microsoft in its early stages of development. Though Roose and Sydney's conversation is, at first glance, alarming, the AI's responses to Roose's questions are far from unexpected. Its erratic use of emojis and seemingly unfiltered, emotional way of speaking feels human because, in some ways, it is – just not in the way our cultural anxieties over artificial intelligence might lead us to believe (Olson, 2023).

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We investigate the potential implications of Generative Pre-trained Transformer (GPT) models and related technologies on the U.S. labor market. Using a new rubric, we assess occupations based on their correspondence with GPT capabilities, incorporating both human expertise and classifications from GPT-4. Our findings indicate that approximately 80% of the U.S. workforce could have at least 10% of their work tasks affected by the introduction of GPTs, while around 19% of workers may see at least 50% of their tasks impacted. Notably, the impact is not limited to industries with higher recent productivity growth. We conclude that Generative Pre-trained Transformers exhibit characteristics of general-purpose technologies (GPTs), suggesting that as these models could have notable economic, social, and policy implications.

Until last week, the response from the sector on the rise of generative AI was focused on thinking about Chat-GPT. Based on GPT-3, the version of OpenAI's large language model that most have played with does not have access to the live internet, cannot access information updated after 2021, and has been quaintly relying on "thumbs up / thumbs down" validation from users to know, and then learn, if a response is correct. It has no internet lookup function, can't access search engines or library databases, and can't source references. If it doesn't know an answer, unless you use the right prompts, it just makes it up – in a pretty convincing manner. As such much of the debate has focussed in two directions – on detection, on the basis that students might use it to cheat, and on integration, on the basis that teaching and assessing students on using it within academic work is inevitable and/or desirable.

OpenAI CEO Sam Altman admitted his is scared about ChatGPT's abilities, but mainly with how humans will use it Sam Altman recently spoke with ABC NEWS about the company's chatbot and the rollout of the latest iteration of the AI language model, GPT-4. While the chatbot has sparked fears of AI world domination, Altman sees humans as the greatest threat to the technology. 'There will be other people who don't put some of the safety limits that we put on,' he told ABC News. 'Society, I think, has a limited amount of time to figure out how to react to that, how to regulate that, how to handle it.' OpenAI launched GPT-4 last week, touting it as more powerful than its predecessor - so much that it could be'harmful.'

OpenAI, the San Francisco A.I. lab that is now closely tied to Microsoft, says that GPT-4 is much more capable than the GPT-3.5 model underpinning the consumer version of ChatGPT. For one thing, GPT-4 is multi-modal: it can take in images as well as text, although it only outputs text. This opens up the ability of the A.I. model to "understand" photos and scenes. The new model performs much better than GPT-3.5 on a range of benchmark tests for natural language processing and computer vision algorithms. It also performs very well on a battery of diverse tests designed for humans, including a very impressive score on a simulated bar exam as well as scoring a five out of five on a wide range of Advanced Placement exams, from Math to Art History.

OpenAI's revolutionary chatbot ChatGPT has been all over the news in recent months, triggering technology giants such as Google and Baidu to accelerate their AI roadmaps. ChatGPT is built on OpenAI's GPT language model and provides a variety of functions, such as engaging in conversations, answering questions, generating written text, debugging code, conducting sentiment analysis, translating languages and much more. Looking at the technologies of this moment in time, nothing seems to be as pivotal to the future of humanity as generative AI. The idea of scaling the creation of intelligence through machines will touch on everything that happens around us, and the momentum in the generative AI space created by ChatGPT's sudden ascent is inspiring. How should enterprise business leaders react to this?

The viral awareness and adoption of artificial intelligence foundation models such as OpenAI LP's ChatGPT have created both an opportunity and threat to automation platforms generally and robotic process automation point tools specifically. On the one hand, large language models can reduce complexity and accelerate the adoption of enterprise automation platforms. The flip side is that software robots are designed to improve human productivity through intelligent automation and GPT models could cannibalize some, if not many, use cases initially targeted by RPA vendors. This reality is causing customers to rethink their automation strategies and vendors to evolve their messaging rapidly to position foundation models as an accelerant to their platforms. In this Breaking Analysis, we provide you with a perspective on how foundation models could have an impact on automation platforms. We review Enterprise Technology Research data that quantifies the ascendency of OpenAI.