社交社区1 month ago
Heated Debates - Passionate Discussions on Topics That Matter
通过文字、语音和视频与他人讨论和辩论各种话题。
@nameisnotanoun · X
完整作品展
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9 projects
通过文字、语音和视频与他人讨论和辩论各种话题。
@nameisnotanoun · X
与AI进行辩论练习，获得实时反馈评分。
@prof_safezone · X
Gambling on debate rounds with AI judges.
A social prediction market: forecast real-world events in politics, sports, finance and culture with play money, alongside creators you follow.
@opinion_kings · X
在社区排行榜投票支持项目，付费支持提升可见度。
@gabugando · X
Ship your next project
管理学术会议：提交和审阅论文、处理日程安排和注册。
@harryjwang · X
I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age
通过滑动式情景测验提升你在养育、沟通、领导和财务方面的判断力。
@ShashankBhutiy4 · X
Duolingo for Soft Skills and career growth
提问并自动路由给最合适的人回答。
u/OriginalPosition1 · Reddit
CrowdWis - Ask first, then get routed to relevant people Disclosure: I’m the founder of CrowdWis. Most online communities make you choose a group before you know who is best suited to answer. I built CrowdWis around the opposite flow: write the question first, then the platform routes it to people based on their expertise, interests, and context. Replies stay private, and AI synthesizes the different perspectives into one result. The beta is live here: https://crowdwis.app/?utm_source=re
在共享层中记录产品决策、背景和推理，团队不会遗忘决策背后的原因。
@TimEngng · X
Stop losing the "why" behind product decisions -
向多个前沿大模型提问，获得经过同行评审的综合答案。
u/Puzzleheaded-Log-27 · Reddit
Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree