Perplexity is a language-model evaluation metric derived from average cross-entropy loss. Intuitively, it reflects how many plausible choices the model appears to consider at each step; lower perplexity means the model assigns higher probability to the observed sequence. It is useful for comparing similar models on the same tokenized dataset, but it is not directly comparable across different vocabularies, tokenizers, or evaluation procedures. A lower score does not necessarily mean responses are more factual, helpful, safe, or preferred by people. Data contamination can also produce deceptively strong results. Perplexity is best treated as a training and predictive-fit measure alongside task-specific and human evaluations.
ElevenLabs CEO Mati Staniszewski says voice is emerging as the primary way people will interact with AI, as models combine speech with reasoning and agentic capabilities.
Amazon is in early discussions to invest tens of billions of dollars in OpenAI, a move that could deepen its position in the global AI race and make it the startup’s largest new backer.
Google’s lower-cost AI Plus subscription, priced at $7.99 in the U.S., is now available in all markets offering Google AI plans, providing access to Gemini 3 Pro, AI filmmaking tools, and more.
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.
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.