Beam search is a decoding method used when an AI model must build a sequence one element at a time. Rather than keeping only the single most likely next choice, it maintains a limited set of promising partial sequences called beams. Each step expands those candidates, scores the results, and keeps the best few until a stopping condition is reached. The method can produce stronger translations, transcriptions, or generated text than purely greedy decoding, although a wider beam increases computation and does not guarantee a better answer. Length penalties, repetition controls, and task-specific scoring are often added because the highest-probability sequence may be short, repetitive, or otherwise undesirable.
SoftBank has secured a $40 billion bridge loan to deepen its investment in OpenAI and accelerate its broader AI strategy.
AI-driven bots now generate more internet traffic than humans, according to a new report, highlighting the growing impact of automated systems online.
New research shows that telling AI models they are “experts” can reduce accuracy in tasks like coding and math, while improving safety and alignment outcomes.
Meta introduced four new in-house MTIA chips designed for AI training and inference as the company accelerates data center expansion. The chips aim to improve performance and reduce reliance on external hardware suppliers.
Google has rolled out Canvas in AI Mode to all U.S. users in English, enabling people to create documents, dashboards, and interactive tools directly within Search. The feature provides a dynamic workspace for planning projects and building simple applications.
Andrej Karpathy argues AI coding agents now fundamentally change programming workflows, enabling long-running autonomous tasks and redefining software engineering.
MSCI introduces AI connectors enabling access to its data via MSCI ONE, ChatGPT, and Claude, debuting IndexAI Insights to deliver conversational index analytics powered by large language models.
Google is rolling out Gemini 3.1 Pro across consumer, developer, and enterprise products, touting major gains in reasoning performance and benchmark results.
India’s AI Impact Summit in New Delhi delivered more than $250 billion in investment commitments, spanning data centers, AI infrastructure, and global expansion plans.
Fei-Fei Li’s World Labs secured a $200 million investment from Autodesk as part of a broader $1 billion round, deepening collaboration on AI systems that generate and reason about 3D environments.