In one test, a trust rule missed all 8 problems after just one wrong report.
I wrote about how AI reporting rules can block true warnings, and why honest workers need a way to earn back trust.
Read the article: https://t.co/dykOPauoXC
@Its_lakshya_ai@Officially_Dev_ Not a valid reasoning imo, if u believe you provide better service for smaller users and are unable to scale for larger users, then what’s the point of everything?
Do u plan to be stuck at 20 users?
Nothing quite like prepping for hours for a Senior AI/ML Engineer interview - deep-diving into system design, LLMOps, and production pipelines, only for the interviewer to completely ghost the call.
Sucks, but the prep isn't wasted. Back to building. 😤🤖
United Nations Academic Impact and MCN present the #MillenniumFellowship to elevate undergraduate leaders creating social impact - I am honored to be selected as a Class of 2026 Millennium Fellow! See more: https://t.co/ZomXaf0T2V
@ImpactUN@MCNpartners
I recently found it that @chowdeck refund system is broken. I can fake a report and automatically get refunded. There’s no one verifying anything I report. Thus it’s literally free order… no matter the amount of money.
So… Windows, macOS and Linux are app-first.
The gap I want Oryven OS(named it already) to explore: can the AI coordinate the computer while every important action remains visible, scoped and reversible?
Not Linux + chatbot. A goal-first computer.
Your users shouldn’t have to learn every screen in your product.
They should be able to ask.
Kami works inside your SaaS, navigating, filling forms, and completing real tasks in the live UI by voice or text.
Your users ask. Kami does the work.
AI agents can work for hours. But when they need a human decision, most are stuck waiting.
We’re building PingOS: an API for authorized agents to text, call or urgently alert you.
Join early access: https://t.co/oSCc4kNJEz