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Leading AI assistants—Anthropic’s Claude, Google’s Gemini, Meta’s Llama derivatives and Grok—are diversifying from general chat into specialized workstreams and agentized tooling. Anthropic is pushing Claude deeper into legal workflows with new features aimed at law firms, while community projects like VRSEN/OpenSwarm adapt Claude-style agent patterns for non-coding tasks. Public chatter highlights both utility and oddities: users report amusing or brittle behaviors in Claude Code-generated outputs, and memes emphasize the tendency to treat any major model as a catch-all problem solver. Together these stories signal accelerating experimentation with domain-specific integrations, agent frameworks, and user expectations around reliability and real-world utility.
Developments across Claude, Gemini, Llama and Grok affect tool selection, integration options, and competitive dynamics for AI-powered products and legal or enterprise deployments. Tech professionals need to track capabilities, ecosystem projects, and sector-specific rollouts to assess risks and opportunities.
Dossier last updated: 2026-05-12 17:34:23
Anthropic 扩展了面向律师事务所和律师的 Claude 人工智能工具
@hylarucoder: 😅 claude code 的 /goal 就是来搞笑的 让写 90 个测试，先写了 90 个壳子，然后标记完成。。。。。
Anthropic 扩展了面向律师事务所和律师的 Claude 人工智能工具
Anthropic 扩展了面向律师事务所和律师的 Claude 人工智能工具
Anthropic 扩展了面向律师事务所和律师的 Claude 人工智能工具
@dontbesilent: 张三说到：不管你有什么问题，只要发给 ChatGPT/Claude/Gemini/Grok/Manus/Genspark/DeepSeek/Qwen/Trae，就可以解决了 李四反问到：[截图电脑屏幕] 就是这样发送就可以了吗 张三回复
Claude Just Got a Superpower No One's Talking About
The GitHub project “VRSEN/OpenSwarm” describes itself as “Claude code for everything except coding,” positioning the repository as a Python-based tool inspired by Anthropic’s Claude Code but aimed at non-programming tasks. The available listing indicates the project currently has 29 stars and 3 forks, suggesting early-stage adoption. Two contributors are named: nicko-ai and ArtemShatokhin. Beyond the title and brief description, no further technical details, release notes, or usage examples are provided in the supplied content, limiting assessment of features, supported workflows, or integrations. Even so, the project reflects ongoing interest in agent-style automation and AI assistants that extend beyond software development into broader operational or productivity use cases.