wuyang
74 lines
2.5 KiB
Markdown
74 lines
2.5 KiB
Markdown
# Collection Run: 2026-07-08 First Sweep
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status: completed
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## Scope
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- date: 2026-07-08
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- jobs: rolling 6-month window, Beijing-first Agent / LLM roles
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- papers: provisional source sweep from arXiv and official research/blog sources
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- industry: large-company Agent work, technical reports, engineering blogs, benchmarks
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## Queries Used
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Jobs:
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```text
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site:joinbytedance.com 北京 Agent 大模型 LLM 招聘
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site:careers.tencent.com 北京 Agent 大模型 LLM 招聘
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site:talent.baidu.com 北京 Agent 大模型 LLM 招聘
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site:careers.alibaba.com 北京 Agent 大模型 LLM 招聘
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DeepSeek 招聘 Agent 北京 大模型 岗位
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site:jobs.bytedance.com 北京 智能体 大模型 Agent
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site:careers.tencent.com/jobdesc.html 北京 LLM Agent 桌面 智能伙伴
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```
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Papers:
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```text
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2026 LLM agent evaluation benchmark arxiv tool use memory
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2026 AI agent benchmark evaluation arxiv long horizon tasks
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2026 coding agent benchmark SWE-bench arxiv agent evaluation
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2026 multi-agent AI safety benchmark arxiv
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```
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Industry:
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```text
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site:openai.com/index agents 2026 technical report
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site:anthropic.com/news agent computer use 2026
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site:deepmind.google/blog agent 2026
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site:microsoft.com/en-us/research/blog agent 2026
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site:qwen.ai/blog agent Qwen 2026
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site:seed.bytedance.com/en agent 2026 ByteDance Seed
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site:github.com/deepseek-ai agent DeepSeek 2026
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```
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## First-pass Method Notes
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- Official pages are preferred for item files.
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- Search snippets are allowed only as weak evidence when official pages are JavaScript-rendered and not easily extractable.
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- For JD, source quality and location must be explicit; non-Beijing roles can be kept only when they reveal strong Agent demand signals.
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- For papers, items are marked `queued` or `skimmed`; source approval remains separate from item relevance.
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- For industry material, `source_quality` and `evidence_level` are deliberately separate.
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## Output
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- jobs: 6 starter items
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- papers: 6 starter items
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- industry: 9 starter items
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- scripts: item creation, index generation, URL checking
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## Summary
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- total items: 21
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- by collection: jobs 6, papers 6, industry 9
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- strongest recurring topics: agent evaluation, memory, coding agents, safety, enterprise deployment
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- first tool output: `data/index.json` and `data/summary.json`
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## Follow-up
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- Deepen official JD extraction for DeepSeek, ByteDance and Tencent.
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- Confirm approved paper sources before doing a larger paper sweep.
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- Add Anthropic and more Qwen/OpenAI/DeepSeek industry items in the next run.
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