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62.1M results

Preflight Checklist - [x] I have searched existing issues and this hasn t been reported yet - [x] This is a single bug report (please file separate reports for different bugs) - [x] I am using the ...
area:packaging
bug
platform:linux

SNS 콘텐츠 자동 생성 생성 시간: 2026-07-01 12:58 KST 소스: AI 트렌드 리포트 📋 사용 방법 1. 아래 각 섹션의 콘텐츠를 복사 2. 해당 SNS 플랫폼에서 새 게시물 작성 3. 붙여넣기 후 게시 ═══════════════════════════════════════════════════════════ SNS 콘텐츠 모음 ...
ai-trends
auto-generated
sns-content

Daily swing scan - 2026-07-01 00:00 EDT 7 symbols analyzed. BTCUSDT: Sell (strong) total_score=-9 last_price=59166.20000000 plan: entry=59166.2 SL=67276.27 TP=58150 qty=0.002 reward_risk=0.13 ETHUSDT: ...

AI Trends Thumbnail 🤖 AI 트렌드 리포트 발행 시각: 2026-07-01 12:58 KST 수집 기간: 최근 6시간 (우선) 📰 주요 뉴스 (3개) 1. Anthropic, Claude Sonnet 5 공개 — 에이전트 성능 대폭 향상 원제: Introducing Claude Sonnet 5 출처: Anthropic (News) — ...
2026-07-01
ai-trends
automated

Summary clm slides sync reconciles the slide decks of a split pair but is structurally blind to separated voiceover companion files (voiceover_*.de.py / voiceover_*.en.py). Editing one companion — adding, ...

Summary Refresh stale documentation now that Koon-Kiat/SITBank is public, and shorten unclear documentation index link titles. The repository metadata currently reports visibility: public, but docs/security/assurance/sonarqube.md ...
ci
code-quality
documentation
needs-triage

目标 把 CNINFO 中可能获取的信息按平台用途分类,避免把所有数据都混成一类。 范围 将每类 CNINFO 数据归入以下类别: - 公司基础属性 - 公司资料属性 - 文档属性 - 财报字段属性 - 动态事件属性 - 市场行为属性 - 投资者互动属性 - 原始证据 - 候选数据 交付物 在 plans/cninfo_data_source_value_inventory.md ...

改了什么 - 会话新增 main_workspace,用来记录最初的 main workspace;session.workspace 可以代表 PM 后续切换到的新 worktree。 - 会话列表/API 返回 main_workspace 与 workspace_exists,输入区按当前会话有效 workspace 显示和发送。 - 新对话未选中会话时显示 worktree: ...
needs-e2e

Resumen Crear una sección interactiva dentro de HomeDir que guíe a los miembros de la comunidad a desbloquear GitHub Achievements (logros) y Highlights en sus perfiles, utilizando los repositorios open-source ...
enhancement
priority:P3

I have tested the pretained Qwen3-VL-PI-LIBERO-4in1 model performace in LIBERO, and i set the inference step to 25. but the performance is very bad, only 25 %.
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Issue origami icon

Learn how you can use GitHub Issues to plan and track your work.

Save views for sprints, backlogs, teams, or releases. Rank, sort, and filter issues to suit the occasion. The possibilities are endless.Learn more about GitHub Issues
ProTip! Restrict your search to the title by using the in:title qualifier.