A foundation model is trained on broad datasets at large scale so it can serve as a base for many downstream applications. Rather than learning only one narrow task, it develops general capabilities that can be accessed through prompting, connected tools, retrieval, or additional training. Large language models are a familiar example, while other foundation models work with images, audio, video, code, or several data types together. Building them requires extensive computing resources and careful data preparation, but many organizations use existing models through hosted services or open weights. Their broad reuse also spreads underlying limitations: bias, security weaknesses, licensing concerns, and factual errors may affect numerous products unless developers evaluate the model within each specific context.
Anthropic’s new policy bans extreme, repeated abuse of Claude from November 12, while excluding ordinary frustration, disagreement, fiction and testing.
Jeff Bezos says AI could let families live on one income or work three days a week, but has offered no timetable or plan for sharing the gains.
Claude Haiku 5.5 cuts costs for everyday AI tasks, with API rates up to 20x below Sonnet and Anthropic-reported benchmark gains over GPT-6 Luna.
Google’s SynthID Detector is now available globally for image, video and audio checks. It detects supported AI watermarks, rather than proving a file is real.
Google Playground turns prompts into browser games without coding. Unity Spark will add a more advanced creation path, with a closed beta coming soon.
Google’s Nano Banana 2.1 improves image quality, text and editing consistency while cutting its image-output token price to a quarter of Nano Banana Pro’s rate.
Mistral launches a Large 4 API preview with a trillion-parameter architecture, discounted pricing and enterprise-focused benchmarks. Open weights are due later this month.
OpenAI will watermark eligible ChatGPT and Codex text in the EU, but restricted detector access and editing-related limitations complicate the promise of identifying AI writing.
Google unveils Gemini 4 Argon, its most powerful AI model yet, with a one-million-token output limit, introductory API pricing, and a phased rollout.
Anthropic says Claude Opus 5.5 approaches Fable-level performance while costing 40% less to run than Opus 5 on typical workloads. Sonnet and Haiku 5.5 will follow in the coming weeks.