📢 Gate Square Exclusive: #PUBLIC Creative Contest# Is Now Live!
Join Gate Launchpool Round 297 — PublicAI (PUBLIC) and share your post on Gate Square for a chance to win from a 4,000 $PUBLIC prize pool
🎨 Event Period
Aug 18, 2025, 10:00 – Aug 22, 2025, 16:00 (UTC)
📌 How to Participate
Post original content on Gate Square related to PublicAI (PUBLIC) or the ongoing Launchpool event
Content must be at least 100 words (analysis, tutorials, creative graphics, reviews, etc.)
Add hashtag: #PUBLIC Creative Contest#
Include screenshots of your Launchpool participation (e.g., staking record, reward
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.