According to DeepLearning.AI, Anthropic has released Claude Sonnet 4.5, introducing a variable reasoning-token budget and supporting larger input contexts ranging from 200,000 up to 1 million tokens. This update demonstrates improved performance on multiple coding and reasoning benchmarks, making it attractive for enterprise AI applications and complex coding workflows. The model is available for free online and via API at competitive rates of $3 per million input tokens and $15 per million output tokens (source: DeepLearning.AI, 2025-10-14). Anthropic also launched a Claude Agent SDK and updated Claude Code with features like automatic context tracking and summarization, a persistent memory tool, checkpoints for safe rollbacks, and a Visual Studio Code compatible IDE extension. These enhancements offer developers robust tools for building scalable, context-aware AI agents, significantly improving workflow automation and enterprise software development (source: DeepLearning.AI, 2025-10-14).

According to DeepLearning.AI, Andrew Ng has announced a new course titled Agentic AI, focusing on practical skills for building AI agents using four key design patterns: reflection, tool use, planning, and multi-agent collaboration (Source: DeepLearning.AI, The Batch, Oct 13, 2025). The course aims to equip professionals with actionable frameworks for deploying advanced AI agents in business environments. Additionally, Anthropic has launched Claude Sonnet 4.5 and updated Claude Code, offering enhanced capabilities for enterprise automation and AI-driven development. OpenAI and Meta are expanding their AI product portfolios to target broader industry needs, while Alibaba has introduced the Qwen3-Max and open-sourced its multimodal Qwen3-VL/Omni models, aiming to drive innovation in AI-powered applications. The availability of LoRA adapters further streamlines fine-tuning for industry-specific tasks. These developments signal a shift toward more accessible, customizable, and collaborative AI solutions, creating new business opportunities in agentic AI, enterprise automation, and multimodal applications (Source: DeepLearning.AI, The Batch).

According to Anthropic (@AnthropicAI), following the release of Claude Sonnet 4.5, the company has open-sourced a new automated audit tool designed to test AI models for behaviors such as sycophancy and deception. This move aims to improve transparency and safety in large language models by enabling broader community participation in alignment testing, which is crucial for enterprise adoption and regulatory compliance in the fast-evolving AI industry (source: AnthropicAI on Twitter, Oct 6, 2025). The open-source tool is expected to accelerate responsible AI development and foster trust among business users seeking reliable and ethical AI solutions.