A quirk in floating-point arithmetic and batch variability in large language models (LLMs) can lead to inconsistent outputs, but achieving deterministic inference through batch-invariant kernels for key operations like RMSNorm, matrix multiplication, and attention resolves these issues.
Apple launches AirPods Pro 3 with groundbreaking audio, fitness tracking, and real-time translation capabilities, setting a new standard for wireless earbuds.
Google embraces multimodal AI search, expanding AI Mode with advanced Gemini 2.5 AI to 5 new languages - Hindi, Indonesian, Japanese, Korean, and Brazilian Portuguese - paving the way for an AI-led search experience as the default 'soon'.
NotebookLM unveils flashcards, quizzes, personalized tutoring with 'Learning Guide', and Audio Overviews with Brief, Critique, and Debate formats for active learning and mastering subjects.
Google expands its AI-powered Search to five new languages - Hindi, Indonesian, Japanese, Korean, and Brazilian Portuguese - enabling users to ask complex queries and explore the web more deeply using advanced language understanding capabilities.
Major tech giants integrate powerful language models directly into operating systems, sparking debates over AI safety and user privacy as these models gain unprecedented access to personal data, while proponents argue it enables risk mitigation strategies.
The latest GPT-5 update introduces a powerful 'Research Goblin' feature that excels at comprehensive online searches, analyzing results, and iteratively refining queries, though its trustworthiness remains uncertain.
Scale AI's former CTO Arun Murthy unveils Isotopes AI with $20 million seed funding, debuting AI agent Aidnn that solves data access challenges for business managers by gathering information from diverse sources to provide answers and draft complex planning documents.
Large AI language models continue to hallucinate plausible but false statements, prompting researchers to propose updated evaluations that discourage confident guessing by penalizing confident errors more severely and rewarding expressed uncertainty.
Shattering the illusion of AI reasoning, researchers expose that large language models cannot truly 'reason' like humans, with their chain-of-thought processes revealed as a 'brittle mirage' relying on pattern matching, prompting calls for clarity and precision in describing AI capabilities.