Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn MoreMy, how quickly the tables turn in the tech world. Just two years ago, AI was lauded as the “next transformational technology to rule them all.” Now, instead of reaching Skynet levels and taking over the world, AI is, ironically, degrading.Once the harbinger of a new era of intelligence, AI is now tripping over its own code, struggling to live up to the brilliance it promised. But why exactly? The simple fact is that we’re starving AI of the one thing that makes it truly smart: human-generated data.To feed these data-hungry models, researchers and organizations have increasingly turned to synthetic data. While this practice has long been a staple in AI development, we’re now crossing into dangerous territory by over-relying on it, causing a gradual degradation of AI models. And this isn’t just a minor concern about ChatGPT producing sub-par results — the consequences are far more dangerous.When AI models are trained on outputs generated by previous iterations, they tend to propagate errors and introduce noise, leading to a decline in output quality

Don’t miss OpenAI, Chevron, Nvidia, Kaiser Permanente, and Capital One leaders only at VentureBeat Transform 2024. Gain essential insights about GenAI and expand your network at this exclusive three day event. Learn More. It’s hard to believe that deepfakes have been with us long enough that we don’t even blink at the sound of a new case of identity manipulation. But it hasn’t been quite that long for us to forget.In 2018, a deepfake showing Barack Obama saying words he never uttered set the internet ablaze and prompted concern among U.S. lawmakers

Ex-Shopify execs spice up remote meetings, while Wave alumni launch an AI scam detector