researching-ai-news
Compare original and translation side by side
🇺🇸
Original
English🇨🇳
Translation
ChineseResearching AI News
AI资讯调研
Research and compile AI news from across the industry, covering major companies and emerging trends.
调研并整理全行业的AI资讯,覆盖头部企业与新兴趋势。
Companies to Track
重点追踪企业
Frontier Labs:
- OpenAI
- Anthropic
- Google DeepMind / Google AI
- Meta AI / FAIR
- xAI
Tech Giants:
- Microsoft AI
- Amazon AWS AI / Bedrock
- Nvidia
- Apple (Apple Intelligence)
- Salesforce (Einstein AI)
- IBM (watsonx)
AI Startups & Specialists:
- Mistral AI
- Cohere
- Stability AI
- Runway
- Hugging Face
- Perplexity AI
- Other emerging labs
前沿实验室:
- OpenAI
- Anthropic
- Google DeepMind / Google AI
- Meta AI / FAIR
- xAI
科技巨头:
- Microsoft AI
- Amazon AWS AI / Bedrock
- Nvidia
- Apple (Apple Intelligence)
- Salesforce (Einstein AI)
- IBM (watsonx)
AI初创企业与专精厂商:
- Mistral AI
- Cohere
- Stability AI
- Runway
- Hugging Face
- Perplexity AI
- 其他新兴实验室
Topics to Cover
覆盖主题
- Product launches & updates - New models, features, API changes
- Research breakthroughs - Papers, benchmarks, capabilities
- Regulations & policy - Government actions, safety initiatives, legal developments
- Industry trends - Funding, partnerships, acquisitions, market moves
- Enterprise AI adoption - Real-world implementations, case studies, ROI reports
- 产品发布与更新 - 新模型、新功能、API变更
- 研究突破 - 论文、基准测试、能力提升
- 法规与政策 - 政府举措、安全倡议、法律动态
- 行业趋势 - 融资、合作、收购、市场动向
- 企业级AI落地 - 实际应用案例、研究报告、ROI分析
Research Workflow
调研流程
Step 1: Run Perplexity Searches
步骤1:执行Perplexity搜索
Use the Perplexity MCP tools for comprehensive, citation-rich results:
Primary tool:
mcp__perplexity__perplexity_search- Best for quick, targeted queries with ranked results
- Returns titles, URLs, snippets, and metadata
- Use for comprehensive coverage
max_results: 10
Deep research:
mcp__perplexity__perplexity_research- Use for complex topics requiring synthesis across sources
- Returns comprehensive analysis with citations
- Best for industry trends and regulatory developments
使用Perplexity MCP工具获取全面且带有引用的结果:
核心工具:
mcp__perplexity__perplexity_search- 适用于快速、精准的查询,返回排序后的结果
- 包含标题、URL、摘要片段和元数据
- 设置以获取全面覆盖
max_results: 10
深度调研工具:
mcp__perplexity__perplexity_research- 适用于需要跨来源综合分析的复杂主题
- 返回带有引用的全面分析内容
- 最适合行业趋势与监管动态分析
Search Queries
搜索查询
Run these searches in parallel using :
mcp__perplexity__perplexity_searchCompany news (run in parallel):
- "OpenAI announcement news December 2024"
- "Anthropic Claude news December 2024"
- "Google Gemini AI news December 2024"
- "Microsoft AI Copilot news December 2024"
- "Meta Llama AI news December 2024"
- "Nvidia AI news December 2024"
- "xAI Grok news December 2024"
- "Amazon AWS Bedrock AI news December 2024"
- "Mistral AI news December 2024"
- "Apple Intelligence news December 2024"
Industry topics (run in parallel):
- "AI regulation policy news December 2024"
- "AI research breakthrough news December 2024"
- "AI startup funding investment news December 2024"
- "enterprise AI deployment case study 2024"For deeper analysis, use with:
mcp__perplexity__perplexity_researchjson
{
"messages": [
{"role": "user", "content": "What are the most significant AI industry developments in the last 48 hours? Include product launches, research breakthroughs, regulatory changes, and major funding announcements. Focus on verified announcements from official sources."}
]
}使用并行执行以下搜索:
mcp__perplexity__perplexity_search企业资讯(并行执行):
- "OpenAI announcement news December 2024"
- "Anthropic Claude news December 2024"
- "Google Gemini AI news December 2024"
- "Microsoft AI Copilot news December 2024"
- "Meta Llama AI news December 2024"
- "Nvidia AI news December 2024"
- "xAI Grok news December 2024"
- "Amazon AWS Bedrock AI news December 2024"
- "Mistral AI news December 2024"
- "Apple Intelligence news December 2024"
行业主题(并行执行):
- "AI regulation policy news December 2024"
- "AI research breakthrough news December 2024"
- "AI startup funding investment news December 2024"
- "enterprise AI deployment case study 2024"如需深度分析,使用并传入以下参数:
mcp__perplexity__perplexity_researchjson
{
"messages": [
{"role": "user", "content": "What are the most significant AI industry developments in the last 48 hours? Include product launches, research breakthroughs, regulatory changes, and major funding announcements. Focus on verified announcements from official sources."}
]
}Step 2: Filter for Recency
步骤2:筛选时效性内容
Include stories from the last 24-48 hours. Use 24 hours for daily briefings; extend to 48 hours on Mondays or slow news days to capture weekend developments.
仅纳入过去24-48小时内的资讯。每日简报使用24小时范围;周一或资讯淡季可扩展至48小时,以覆盖周末动态。
Step 3: Deduplicate Results
步骤3:去重结果
Before compiling output:
- Identify stories appearing across multiple searches
- Consolidate duplicate stories into a single entry
- Use the most authoritative source (official blog > news outlet > aggregator)
- Note if multiple sources are covering the same story (indicates higher significance)
整理输出前:
- 识别多次搜索中重复出现的资讯
- 将重复资讯合并为单一条目
- 优先使用权威来源(官方博客 > 新闻媒体 > 聚合平台)
- 若多个来源报道同一资讯,可标注其重要性更高
Step 4: Verify Major Claims
步骤4:验证核心信息
For significant announcements:
- Cross-reference against official company blogs, press releases, or verified social accounts
- Check if the story has been confirmed by multiple reputable sources
- Flag unverified or single-source stories as "Developing" or "Unconfirmed"
对于重大公告:
- 对照企业官方博客、新闻稿或已认证社交账号交叉验证
- 确认是否有多个可信来源报道同一内容
- 将未验证或单一来源的资讯标记为“[进展中]”或“[未确认]”
Step 5: Compile Results
步骤5:整理结果
Format output as bullet points with source links:
markdown
undefined以带来源链接的项目符号格式输出:
markdown
undefinedAI News - [Date]
AI资讯 - [日期]
Company Updates
企业动态
- [Company]: [Brief summary of news] (Source)
- [Company]: [Brief summary of news] (Source)
- [企业名称]:[资讯简要概述](来源)
- [企业名称]:[资讯简要概述](来源)
Product Launches
产品发布
- [Product/feature description] (Source)
- [产品/功能描述](来源)
Research & Breakthroughs
研究与突破
- [Research summary] (Source)
- [研究内容概述](来源)
Regulation & Policy
法规与政策
- [Policy development] (Source)
- [政策动态](来源)
Enterprise Adoption
企业级落地
- [Company/industry implementation story] (Source)
- [企业/行业应用案例](来源)
Industry Trends
行业趋势
- [Trend/funding/partnership] (Source)
undefined- [趋势/融资/合作动态](来源)
undefinedStep 6: Prioritize
步骤6:内容排序
Order stories by significance:
- Major model releases or capabilities
- Significant policy/regulatory changes
- Large funding rounds or acquisitions
- Research breakthroughs
- Enterprise adoption stories with measurable outcomes
- Product updates and features
按重要性排序资讯:
- 重大模型发布或能力升级
- 关键政策/法规变更
- 大额融资或收购事件
- 研究突破
- 可量化成果的企业级落地案例
- 产品更新与功能迭代
Output Guidelines
输出规范
- Keep summaries to 1-2 sentences per story
- Always include source links
- Group related stories together
- Note if a category has no news ("No significant updates")
- Flag breaking/developing stories with "[DEVELOPING]" prefix
- Flag unverified stories with "[UNCONFIRMED]" prefix
- Prefer official sources over secondary coverage
- 每条资讯摘要控制在1-2句话
- 必须包含来源链接
- 相关资讯分组展示
- 若某类别无资讯,标注“无重大更新”
- 突发/进展中资讯前缀标记“[进展中]”
- 未验证资讯前缀标记“[未确认]”
- 优先使用官方来源而非二次报道
Perplexity MCP Tools Reference
Perplexity MCP工具参考
| Tool | Use Case |
|---|---|
| Quick searches, specific company news, targeted queries |
| Deep analysis, trend synthesis, comprehensive reports |
| Follow-up questions, clarifications, verification |
| 工具 | 使用场景 |
|---|---|
| 快速搜索、特定企业资讯、精准查询 |
| 深度分析、趋势综合、全面报告 |
| 跟进提问、内容澄清、信息验证 |
Search Tips
搜索技巧
- Use company + product names for precision ("Claude 3.5", "GPT-4o", "Gemini 2.0")
- Include current month/year in queries for better recency filtering
- Run company searches in parallel for efficiency
- Use for synthesizing trends across multiple sources
perplexity_research - Perplexity automatically includes citations - preserve these in output
- For verification, use to confirm details from official sources
perplexity_ask
- 使用企业+产品名称提升精准度(如“Claude 3.5”“GPT-4o”“Gemini 2.0”)
- 查询中加入当前年月以优化时效性筛选
- 并行执行企业资讯搜索提升效率
- 使用综合多来源趋势信息
perplexity_research - Perplexity会自动生成引用,需在输出中保留
- 如需验证,使用从官方来源确认细节
perplexity_ask