Jev: The Model That Gives AI the Properties of Code (twitter.com)

The launch of Jev, a groundbreaking AI model developed by one of the co-inventors of ChatGPT, marks a significant advancement in the pursuit of Artificial General Intelligence (AGI). Over the past two years, the creator has been working on a novel training methodology known as Reinforcement Learning with Compositional Decisions (RLCD), which enables Jev to offer performance that is 20 to 200 times faster and 40 to 400 times cheaper than existing models. Notably, the model allows for output tokens to be generated at no cost, making it a potentially game-changing tool for the AI/ML community. Jev's frontier composable intelligence is designed to optimize decision-making capabilities, representing a pivotal step towards harnessing AI for broader economic impact. By revolutionizing the efficiency and cost-effectiveness of AI model training and deployment, Jev could catalyze a new wave of innovation in the Artificial Intelligence landscape, driving the field closer to achieving the elusive goal of AGI. The implications of this technology extend beyond mere computational speed and cost, hinting at transformative applications across various industries that could leverage this advanced decision-making framework.