The past month has seen a frenzy of articles, interviews, and other types of media coverage about Blake Lemoine, a Google engineer who told The Washington Post that LaMDA, a large language model created for conversations with users, is "sentient." After reading a dozen different takes on the topic, I have to say that the media has become (a bit) disillusioned with the hype surrounding current AI technology. A lot of the articles discussed why deep neural networks are not "sentient" or "conscious." This is an improvement in comparison to a few years ago, when news outlets were creating sensational stories about AI systems inventing their own language, taking over every job, and accelerating toward artificial general intelligence. But the fact that we're discussing sentience and consciousness again underlines an important point: We are at a point where our AI systems--namely large language models--are becoming increasingly convincing while still suffering from fundamental flaws that have been pointed out by scientists on different occasions.
VAST Data, the data platform company for the AI-powered world, announced that Ingenuity Studios selected VAST to help deliver next-level realism to a host of long- and short-form works, including feature films, television series, music videos, commercials, and more. Ingenuity Studios tapped VAST Data's Universal Storage architecture to leapfrog the status quo by deploying a simple data storage platform that allows artists and animators to easily collaborate on projects with ultra-fast performance and low-latency, without the classic flash storage tax. AI and ML News: Why SMBs Shouldn't Be Afraid of Artificial Intelligence (AI) Rendering workflows are changing rapidly for animators and visual effects (VFX) artists, with new machine learning and deep learning technologies being used to automate and enhance much of the creative process. To train and deploy these new deep learning models, studios need to provide high-speed access to rich content for high-throughput computation. All-flash infrastructure is not just a critical advantage for metadata-intensive render farms, but also an essential component of demanding deep learning pipelines.
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