A Wasserstein GAN, or WGAN, is a generative adversarial network designed to make training more stable by using a distance measure related to the Earth Mover distance. A generator creates samples while a critic scores how closely generated and real data distributions match. Unlike a traditional GAN discriminator, the critic does not simply classify samples as real or fake. The resulting training signal can remain useful even when the distributions barely overlap. WGAN variants are used for images, audio, and synthetic data, but they still require careful architecture choices, regularization, evaluation, and checks for bias, memorization, and unrealistic outputs.
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.
Google released a major upgrade to its Gemini Deep Research agent, giving developers access to advanced autonomous research capabilities through the Interactions API. The company also introduced DeepSearchQA, a benchmark for evaluating multi-step web research agents.
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.
OpenAI co-founder Ilya Sutskever says the era of scaling compute and data as the main driver of AI progress is ending, arguing that meaningful advances now depend on true scientific breakthroughs and solving AI’s poor generalization.