In artificial intelligence, a hallucination refers to an output generated by an AI model that appears confident and factual but is actually false or unsupported by real data. This phenomenon often occurs in large language models and generative systems when they fill gaps in knowledge or misinterpret training information. Hallucinations can take the form of incorrect facts, fabricated sources, or unrealistic images, depending on the AI application. They highlight one of the biggest challenges in AI development—ensuring reliability, accuracy, and verifiable outputs. Researchers and developers use techniques like model fine-tuning, retrieval-augmented generation, and human oversight to reduce hallucinations and build more trustworthy systems.
AWS introduced new tools for enterprise customers to build and fine-tune custom large language models, alongside AI infrastructure offerings for on-premises deployments.
Amazon’s AI shopping assistant Rufus saw a sharp spike in Black Friday usage, fueling significantly higher purchase-conversion rates compared with non-AI sessions, according to new data from Sensor Tower and Adobe Analytics.
Amazon employees demand ethical AI practices, warning that the company’s fast-paced AI rollout risks worker safety, democratic oversight, and environmental sustainability.
OpenAI and Perplexity introduced AI shopping tools this week, helping users find products through chat-based queries. Experts say startups with niche datasets may still outperform general-purpose chatbots.
Voice AI startup Wispr has secured another $25M in funding as its Flow dictation app surges in enterprise adoption and user retention, bringing total capital raised to $81M.
Nvidia reported strong third quarter results driven by soaring demand for its data center GPUs and Blackwell architecture. The company raised its outlook as AI infrastructure spending accelerates.
Anthropic is committing $30 billion in Azure compute as part of a major new partnership with Microsoft and Nvidia, expanding Claude and deepening collaboration on AI infrastructure.
xAI has launched Grok 4.1, a major model upgrade designed to deliver more creative, emotionally aware, and coherent interactions, with new Thinking and Non-Thinking variants now live across all xAI platforms.
Alibaba.com unveiled AI Mode at CoCreate Europe, integrating agentic AI into its platform to help businesses discover suppliers, optimize sourcing, and automate trade processes.
Meta’s chief AI scientist Yann LeCun is reportedly preparing to leave the company to start his own AI venture focused on world models, signaling a major shift for Meta’s research division.