Switzerland unveils Apertus, a 100% open, multilingual AI model built by public institutions for public good, trained on over 1,000 languages with transparency and compliance as core principles, demonstrating generative AI can be powerful and open.
AI researchers discover a distinct 'light-bulb' moment when language models transition from relying on word positions to comprehending meaning, a breakthrough that could lead to more robust and explainable artificial intelligence.
Pipecat, an open-source Python framework, unleashes real-time voice and multimodal AI conversational agents with ultra-low latency interaction by integrating speech recognition, text-to-speech, AI services, and various transports.
Sam Altman stunned by banks' voice authentication, Elon Musk ponders AI's role in fulfilling human needs, OpenAI unveils gpt-realtime for low-latency speech-to-speech applications.
Apple revolutionizes Siri with AI-powered 'World Knowledge Answers' that summarizes web information using Google's Gemini AI model, set to launch with iOS 26.4 as early as next March, transforming the digital assistant experience.
Korean tech titans LG, Naver, SKT, Upstage, and NC AI unveil homegrown AI models like Exaone, A.X, Solar Pro, and HyperClova X, tailored for Korean language and context, aiming to match 95% performance of ChatGPT as part of government's 'sovereign AI' push.
Anthropic launches Command A Translate, a groundbreaking enterprise translation model boasting unrivaled accuracy across 23 languages, surpassing GPT-5 and Google Translate while offering private deployment and customization for data security.
AI tools like ChatGPT have become ubiquitous in high schools and colleges, enabling students to generate essays and assignments with ease, raising concerns about normalized cheating and exposing flaws in the education system that may require a redesign of teaching practices.
Generative AI faces disillusionment as enterprises grapple with inconsistencies, hallucinations, high costs, and lack of robust use cases, pushing it into Gartner's trough of disillusionment despite potential for future revival through improved accuracy and composite AI approaches.
A groundbreaking AI system called Agentic RAG combines language models and autonomous agents, enabling advanced problem-solving through adaptive retrieval, reasoning, tool use, and iterative refinement, seeing widespread adoption across industries.