📢 Gate Square #MBG Posting Challenge# is Live— Post for MBG Rewards!
Want a share of 1,000 MBG? Get involved now—show your insights and real participation to become an MBG promoter!
💰 20 top posts will each win 50 MBG!
How to Participate:
1️⃣ Research the MBG project
Share your in-depth views on MBG’s fundamentals, community governance, development goals, and tokenomics, etc.
2️⃣ Join and share your real experience
Take part in MBG activities (CandyDrop, Launchpool, or spot trading), and post your screenshots, earnings, or step-by-step tutorials. Content can include profits, beginner-friendl
Epoch AI predicts: The pace of inference models will slow down within the fastest year.
On May 14, Epoch AI, a non-profit AI research institution, released the latest report, pointing out that it is difficult for AI companies to continue to squeeze huge performance gains from inference models, and the progress of inference models will slow down within a year at the earliest. Based on publicly available data and assumptions, the report highlights the constraints of computing resources and the increase in research overhead. The AI industry has long relied on these models to improve benchmark performance, but this reliance is being challenged. Josh You, an analyst at the agency, pointed out that the rise of inference models stems from their excellent performance on specific tasks. OpenAI's O3 model, for example, has focused on improving math and programming skills in recent months. These inference models improve performance by adding computational resources to solve problems, but at the cost of requiring more computation to handle complex tasks, these inference models take longer than traditional models.