OpenAI released its hotly-anticipated GPT-4 on Tuesday, providing a 98-page "technical report" on the latest iteration of its large language model (LLM). But despite the lengthy documentation and the company's not-for-profit roots, OpenAI has revealed extremely little information about how its latest AI actually works -- which has experts worried, Venture Beat reports. OpenAI, however, claims it had good reason to play its cards close to the chest. "Given both the competitive landscape and the safety implications of large-scale models like GPT-4," reads the paper, "this report contains no further details about the architecture (including model size), hardware, training compute, dataset construction, training method, or similar." In other words: this is OpenAI's Krabby Patty formula, and they won't be offering up the recipe anytime soon.

The creator of artificial intelligence (AI) image generator DALL-E says that he's "surprised" at the technology's huge impact. In an interview with Venture Beat, Aditya Ramesh expresses his astonishment at the pace of development in the generative AI space. "It doesn't feel like so long ago that we were first trying this research direction to see what could be done," Ramesh says. "I knew that the technology was going to get to a point where it would be impactful to consumers and useful for many different applications, but I was still surprised by how quickly." At the beginning of 2022, AI image generators barely existed.

Stewart talks to us about everything from marketing technologies, to his thoughts on the adoption of agile methodologies within marketing teams to how this is the year of Artificial Intelligence. If you're looking for real insights in relation to Marketing Technologies and Artificial Intelligence go to the source, Stewart Rogers from Venture Beat and that's what we did! Your browser does not support the audio element. On average an adult wakes up and starts checking social media on their smartphone within 22 seconds of opening their eyes! More than half of respondents are spending 26% of their marketing budget on mobile and 30% are spending 50% of their budgets on mobile… But… it turns out, that they don't really don't know what they are doing with it!