AI Law Tracker — US AI Compliance Knowledge Hub
浏览美国50州AI法规,获取合规指南、常见问题和工具。
asm28208 · HN
AI Law Tracker – one audited API for US, EU and global AI law
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浏览美国50州AI法规,获取合规指南、常见问题和工具。
asm28208 · HN
AI Law Tracker – one audited API for US, EU and global AI law

用对抗测试检查LLM端点安全,获取OWASP审计报告。
@aryaan_sheth · X
- LLM security for small teams

用 Onbookr 管理预约、同步日历、自动发送提醒。
@helloukey · X

Cascade AI 诊断你的技能差距,生成个性化学习路径。
u/safi1409 · Reddit
Instead of asking "what should I learn next?", I built a tool that diagnoses your actual gaps and tells you One pattern I keep seeing here (and had myself): you're learning a field - say backend development or ML - and at some point you don't know what you don't know. You've done tutorials, watched videos, maybe built some projects. But you can't tell if you actually have real understanding or just surface-level familiarity. I built a free tool called Cascade AI that tries to solve this.

具有分析师、教练、心理咨询师和风险经理AI角色的交易平台。
@fourdeskIO · X

使用在微虚拟机中运行代码的AI代码审查来捕获更多漏洞。
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db