A Large Language Model (LLM) is an advanced type of artificial intelligence system trained on vast amounts of text data to understand and generate human-like language. Using deep learning architectures – most commonly transformer networks – LLMs can perform tasks such as writing, summarizing, translating, answering questions, and reasoning with context. These models learn patterns in grammar, semantics, and facts from their training data, allowing them to produce coherent and contextually relevant responses. Well-known examples include ChatGPT, Claude, and Gemini, which power chatbots, content tools, and enterprise AI solutions. As LLMs grow in size and capability, they raise new opportunities for productivity and creativity, along with challenges around accuracy, bias, and transparency.
Apple plans to debut a Gemini-based Siri in February, offering more natural conversations, complex tasks, and integration across iOS, iPadOS, and macOS.
Language learning app Praktika is using OpenAI models to power a multi-agent tutoring system designed to improve real-world speaking fluency through adaptive, conversational lessons.
Apple is reportedly working on a pin-shaped AI wearable with cameras and microphones, potentially launching in 2027, signaling increased competition in the AI hardware space.
Apple is preparing a major overhaul of Siri that would turn the assistant into a chatbot-style interface integrated into iOS 27, reflecting growing competitive pressure in generative AI.
OpenAI now uses age prediction to adjust ChatGPT’s safety settings for teens. Users 18 and older can verify their age to disable extra restrictions.
OpenAI is on track to unveil its first consumer device in the second half of 2026, signaling a major expansion beyond software as the company explores a new category of AI-native hardware.
OpenAI has invested in Merge Labs, a brain-computer interface startup founded by CEO Sam Altman, as part of a $250 million seed round valuing the company at $850 million.
Barclays Research says humanoid robots are moving from experimental labs into real-world deployment as advances in AI and hardware reduce costs. The firm estimates the market could expand sharply over the next decade amid labor shortages.
U.S. senators are demanding detailed explanations from major tech platforms on how they prevent and monetize AI-generated sexual deepfakes. The inquiry follows renewed scrutiny of generative AI tools and their safeguards.
Microsoft outlined a community-first strategy for expanding AI data centers, promising to cover electricity costs and reduce local environmental impact. The move comes amid rising public opposition to large-scale AI infrastructure projects.