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60 projects
分析新闻文章，验证结论是否得到证据支持。
@BiaoBuilds · X
我做了一个帮助读者拆解新闻论证结构的工具：LedeLens。 它不做事实核查，也不判断政治倾向，只回答一个更小的问题：文章的结论，能否由它自己提供的证据支持？ 在线体验： 感兴趣可以看看~
检测AI生成的文本，核实引用资料，验证文档未被篡改。
@SketchJar · X
Stipple helps you verify a document is real, instead of just guessing if AI made it.
用23个浏览器本地控件检查AI助手指令的缺失防护措施。
shmindmaster · HN
CrewScore – coverage check for AI agent prompts (0.6.11)
Leaked service_role keys, tables shipping without RLS, public buckets, unguarded routes. Repo-deep, evidence-based, with the copy-paste fix. Not a pentest.
@urti_luca · X
Sentris finds the exposures in your Supabase app before someone else does.
Undersrvd帮助发现被忽视的市场空白和商机。
u/Bootfit · Reddit
Building is easier than ever but knowing what to build isn’t. Hello everyone - I’d like to show you the MVP of my new website http://Undersrvd.com Undersrvd grew from a problem I was trying to solve for myself. I’d been poking different AI engines for a while trying to get them to recognise signals in news stories etc that could point to the next big thing on the horizon - the next fad, fidget spinners, Labubu etc - trying to get ahead of the game. When they couldn’t come up with anythi
SottoQR During the July 2024 uprising, fake and manipulated images obscured the truth, making it difficult to verify evidence or track justice. Our AI powered platform authenticate
Tahscene · GitHub
SottoQR During the July 2024 uprising, fake and manipulated images obscured the truth, making it difficult to verify evidence or track justice. Our AI powered platform authenticates images, preserves credible evidence & transparently tracks case progress, helping protect historical truth during crises and beyond.
VeroLente AI用AI技术即时验证新闻、视频、图像和声明，获取真实度分数。
@Banshee_1212 · X
building a deepfake detection platform,
Mount what your model was never trained on. Unmount it when you're done. Sealed, signed, measured knowledge packs for local models.
@developerpranab · X
YantrikDB: mountable knowledge for local models. A 4B scores 7/53 on the MCP spec published this week; 42/53 with the pack mounted. No retraining.
分析您的产品在AI搜索中的问题，获取现成的代码修复方案。
@dreamingfounder · X
Tell me your thoughts on , we let you learn how to appear on AI recommendations
分析新闻、视频和文本中的媒体偏见与操纵手法。
jayubba1 · HN
Biasly.ai – Bias detection with historical context
微调LLM、清理数据集，教授和删除自定义事实，获得密码学删除证明。
@MBrew26730 · X
Dataset cleaning + fine tuning + continual learning at
