The TLP platform offers comprehensive support for labeling text, image, audio, and video data, detailing the importance of high‑quality annotations for large AI models, task creation, workflow steps, review processes, and an automatic annotation feature that can boost efficiency by over 60 percent.
At the 2025 Inclusion·Bund Conference forum, leading scholars and industry experts revealed how high‑quality data and AI form a dual‑engine that reshapes model training, improves performance, and drives the next evolution of intelligent systems.
OpenAI CTO Mira Murati provided vague answers about Sora’s training data, confirming the use of publicly available, licensed, and Shutterstock content while acknowledging uncertainty about social‑media sources, amid ongoing legal disputes over AI model data usage.
OpenAI revealed a new data partnership initiative to collect large‑scale public and private datasets across multiple modalities, aiming to improve AI model safety and usefulness by incorporating diverse, hard‑to‑access human‑generated content while respecting privacy and intent.
This article explains how Alibaba's Alipay visual vending cabinet leverages 3D synthetic data generation—covering full‑material 3D reconstruction, parametric scene modeling, and photo‑realistic rendering—to rapidly produce high‑quality training images, dramatically cutting cost and accelerating AI model deployment.
