Generative Pre-Trained Transformer, abbreviated GPT, refers to a transformer-based language-model approach trained first on broad text or multimodal data and then adapted for useful interaction. Pretraining teaches statistical patterns, concepts, and relationships by predicting tokens; instruction tuning and preference optimization can subsequently make the model more helpful and controllable. GPT systems can draft, summarize, translate, answer questions, write code, and support tool-using applications. The acronym is associated with OpenAI model families, but it also describes the core design idea. A GPT output is generated from learned probabilities and context, so fluency does not guarantee factual accuracy, current knowledge, or sound judgment.
Chinese generative AI startups MiniMax and Zhipu AI have disclosed their financials ahead of potential Hong Kong listings, highlighting modest revenues and mounting losses compared with U.S. peers.
Amazon is reportedly in early talks to invest up to $10 billion in OpenAI in a deal tied to the use of its AI chips. The discussions reflect a broader trend of circular partnerships shaping the AI infrastructure market.
OpenAI has released GPT-5.2, a new model series designed to improve professional knowledge work with major gains in reasoning, coding, long-context analysis, and vision. The update brings enhanced performance to ChatGPT and the API across Instant, Thinking, and Pro variants.
Disney and OpenAI announced a three-year licensing deal allowing Sora to generate fan-inspired short videos featuring over 200 Disney, Marvel, Pixar, and Star Wars characters.
Google introduced the Titans architecture and the MIRAS framework to enable AI models to handle massive contexts and update their internal memory while running, improving performance in long-sequence tasks.
ChatGPT now reaches more than 800 million weekly users, creating a powerful adoption flywheel that is speeding the transition from AI experimentation to full-scale enterprise deployment, according to OpenAI’s new 2025 report.
Amazon’s AI shopping assistant Rufus saw a sharp spike in Black Friday usage, fueling significantly higher purchase-conversion rates compared with non-AI sessions, according to new data from Sensor Tower and Adobe Analytics.
Amazon employees demand ethical AI practices, warning that the company’s fast-paced AI rollout risks worker safety, democratic oversight, and environmental sustainability.
Nvidia reported strong third quarter results driven by soaring demand for its data center GPUs and Blackwell architecture. The company raised its outlook as AI infrastructure spending accelerates.
Anthropic is committing $30 billion in Azure compute as part of a major new partnership with Microsoft and Nvidia, expanding Claude and deepening collaboration on AI infrastructure.