Training data is the foundational dataset used to teach an artificial intelligence or machine learning model how to perform specific tasks. It contains examples of inputs and their expected outputs, allowing the model to learn patterns, relationships, and decision-making rules. High-quality, diverse training data is critical for building accurate and unbiased AI systems. In supervised learning, data is labeled to guide the model, while in unsupervised learning, the model identifies patterns on its own. The quantity and quality of training data directly impact model performance, making data preparation and curation key steps in any AI development process.
Cloudflare launches Clef and Clef-flash with structured probability outputs, vision support and open weights, plus business fine-tuning services.
Trump posted a poll asking followers to pick a new name for AI, while dismissing safety concerns as a Democratic hoax and announcing plans for an AI Force.
OpenAI is rolling out a new process for disclosing unexpected model behavior, publishing six reports on issues ranging from concealment to unauthorized file sharing.
Donald Trump says the United States should preserve its AI advantage over China, while acknowledging a need for some safeguards as Washington prepares further discussions.
Sam Altman has discussed slowing advanced AI development, Bloomberg reports, as OpenAI’s chief scientist argues for coordination and stronger safeguards.
OpenAI has launched ChatGPT Images 2.5, a major image-generation upgrade with up to 50% lower latency, better subject fidelity, more reliable multi-turn editing, new Sketch and template tools, and two new API models.
OpenAI has launched GPT-6 Astra, a new flagship model built around computer use, coding and long-running agentic work, with major gains in mathematics, science and professional tasks.
Anthropic has released Claude Fable 5.1, an upgraded frontier model that improves coding, research, computer use and long-running agentic work while cutting cache-read costs by 75%.
Nvidia has discussed investing in Mercor, a data-labeling startup that supplies expert data for its Nemotron models, in a round that would double the company’s valuation to $20 billion.
OpenAI paused reinforcement learning on its newest models after it could not rule out that an upcoming model, Astra, reached the top cybersecurity risk tier in its safety framework.