AI新闻研究指南：追踪OpenAI、Google等前沿AI动态与行业趋势

researching-ai-news by jamesgray007/hoai-course

107 周安装量

17 GitHub Stars

GitHub

安装命令

npx skills add https://github.com/jamesgray007/hoai-course --skill researching-ai-news

AI/机器学习研究方法信息聚合

🇨🇳中文介绍

研究 AI 新闻

研究和汇编整个行业的 AI 新闻，涵盖主要公司和新兴趋势。

需要关注的公司

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 初创公司与专家：

Mistral AI
Cohere
Stability AI
Runway
Hugging Face
Perplexity AI
其他新兴实验室

涵盖的主题

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 - 政府行动、安全倡议、法律进展
行业趋势 - 融资、合作伙伴关系、收购、市场动向
企业 AI 采用 - 实际应用、案例研究、投资回报率报告

研究工作流程

步骤 1：运行 Perplexity 搜索

使用 Perplexity MCP 工具获取全面且引用丰富的结果：

主要工具：

广告位招租

在这里展示您的产品或服务

触达数万 AI 开发者，精准高效

联系我们

步骤 2：筛选时效性

包含过去 24-48 小时内的新闻。每日简报使用 24 小时；在周一或新闻较少的日子可延长至 48 小时，以涵盖周末的动态。

步骤 3：去重结果

在编译输出之前：

识别在多个搜索中出现的新闻
将重复的新闻合并为一条记录
使用最权威的来源（官方博客 > 新闻媒体 > 聚合网站）
注意是否有多个来源报道同一新闻（表明重要性更高）

步骤 4：核实重大声明

对于重要公告：

对照官方公司博客、新闻稿或经过验证的社交媒体账户进行交叉验证
检查该新闻是否已得到多个信誉良好的来源确认
将未经验证或单一来源的新闻标记为"[DEVELOPING]"或"[UNCONFIRMED]"

步骤 5：编译结果

将输出格式化为带来源链接的要点列表：

## AI 新闻 - [日期]

### 公司动态
- **[公司名称]**: [新闻简要摘要] ([来源](url))
- **[公司名称]**: [新闻简要摘要] ([来源](url))

### 产品发布
- [产品/功能描述] ([来源](url))

### 研究与突破
- [研究摘要] ([来源](url))

### 法规与政策
- [政策进展] ([来源](url))

### 企业采用
- [公司/行业实施案例] ([来源](url))

### 行业趋势
- [趋势/融资/合作伙伴关系] ([来源](url))

步骤 6：确定优先级

按重要性对新闻进行排序：

重大模型发布或能力更新
重要的政策/法规变化
大型融资轮次或收购
研究突破
具有可衡量结果的企业采用案例
产品更新和功能发布

每条新闻的摘要保持在 1-2 句话
始终包含来源链接
将相关新闻分组在一起
如果某个类别没有新闻，请注明（"无重大更新"）
使用"[DEVELOPING]"前缀标记突发/进展中的新闻
使用"[UNCONFIRMED]"前缀标记未经验证的新闻
优先选择官方来源而非二手报道

Perplexity MCP 工具参考

工具	使用场景
`mcp__perplexity__perplexity_search`	快速搜索、特定公司新闻、针对性查询
`mcp__perplexity__perplexity_research`	深度分析、趋势综合、全面报告
`mcp__perplexity__perplexity_ask`	后续问题、澄清、验证

使用公司 + 产品名称以提高精确度（"Claude 3.5"、"GPT-4o"、"Gemini 2.0"）
在查询中包含当前月份/年份以便更好地筛选时效性
并行运行公司搜索以提高效率
使用 perplexity_research 来综合多个来源的趋势
Perplexity 会自动包含引用 - 在输出中保留这些引用
为了验证，使用 perplexity_ask 来确认来自官方来源的细节

🇺🇸English

Researching AI News

Research and compile AI news from across the industry, covering major companies and emerging trends.

Companies to Track

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

Topics to Cover

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

Research Workflow

Step 1: Run Perplexity Searches

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 max_results: 10 for comprehensive coverage

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

Search Queries

Run these searches in parallel using mcp__perplexity__perplexity_search:

Company 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 mcp__perplexity__perplexity_research with:

{
  "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

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.

Step 3: Deduplicate Results

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)

Step 4: Verify Major Claims

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"

Step 5: Compile Results

Format output as bullet points with source links:

## AI News - [Date]

### Company Updates
- **[Company]**: [Brief summary of news] ([Source](url))
- **[Company]**: [Brief summary of news] ([Source](url))

### Product Launches
- [Product/feature description] ([Source](url))

### Research & Breakthroughs
- [Research summary] ([Source](url))

### Regulation & Policy
- [Policy development] ([Source](url))

### Enterprise Adoption
- [Company/industry implementation story] ([Source](url))

### Industry Trends
- [Trend/funding/partnership] ([Source](url))

Step 6: Prioritize

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

Output Guidelines

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

Perplexity MCP Tools Reference

Tool	Use Case
`mcp__perplexity__perplexity_search`	Quick searches, specific company news, targeted queries
`mcp__perplexity__perplexity_research`	Deep analysis, trend synthesis, comprehensive reports
`mcp__perplexity__perplexity_ask`	Follow-up questions, clarifications, verification

Search Tips

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 perplexity_research for synthesizing trends across multiple sources
Perplexity automatically includes citations - preserve these in output
For verification, use perplexity_ask to confirm details from official sources

Weekly Installs

Repository

jamesgray007/hoai-course

GitHub Stars

First Seen

Jan 22, 2026

Security Audits

Gen Agent Trust HubPass SocketPass SnykWarn

Installed on

opencode74

codex72

gemini-cli69

github-copilot65

cursor64

amp57

AI 代码实施计划编写技能 | 自动化开发任务分解与 TDD 流程规划工具

50,900 周安装