... happens in communities: Product Hunt, LinkedIn, Hacker News, Reddit, and niche forums. Success depends on having accounts in good standing, understanding each community s culture, researching relevant discussions, and contributing meaningful comments without breaking forum rules. So I built responsible community research agents. The system researches and identifies threads relevant to your company context and ICP use cases, pain points, competitor

... mean anything! It's circular at best... "We are us, and "us" is this website, which is also us." Let's say something happens... Who am I going to sue? Who am I going to contact? Who is responsible? Now, if you feel like you are not ready to take that responsibility

... Comment from Nika(@busmark_w_nika): @anders_wotzke  What have they managed to mess up in your workflow? :D Comment from Nika(@busmark_w_nika): @spunchev  This is an interesting POV  using Hard data usage vs Soft data usage. That could be another topic to discuss, but also finance is hard data... but wouldn't give access to it anyway. Comment from Nika(@busmark_w_nika): @indu_thangamuthu  But not such long dashes :D Comment from ... ... company lose $47K in a weekend because their support agent started approving refunds it wasn't authorized to give. No one noticed until Monday. That's actually why I built AgentShield it monitors every AI agent response

... tried to ground Responsible AI in things teams already recognize. The structure loosely aligns with ideas from the EU AI Act , ISO-style management systems , and the NIST AI Risk Management Framework but without turning it into a compliance exercise. The goal is simple: help teams understand what AI they re using, where the risks are, and who owns them , before regulation forces the conversation. Curious how others are thinking about AI governance right now proactive guardrails, or waiting until ...

... still think that man causes the most accidents, but we are more sensitive to something relatively new/unknown (in this case, autonomous vehicles. Do you trust robotaxis more than humans, and would you use their services? Who should be responsible when an autonomous car crashes? (The software developers? The car manufacturer? The company operating the fleet? The AI? Or?) My take: I am still hesitant. Personally, I would use autonomous vehicles only for goods transport in separate infrastructure and wouldn ... ... drunk, distracted, or tired but the edge cases in real-world driving are wild. I d trust them more in controlled environments (like logistics or last-mile delivery) than on busy urban roads with unpredictable human behavior. Responsibility

... need to be equal partners Tim (my cofounder and co-CEO) and I started with quite asymmetric experience. I had previously been a VP of sales, responsible for sales, support, and account management. Tim was an insanely talented, 23-year-old engineer, and was much earlier in his career I m nearly 10 years older. I diligently pushed myself hard at school, got straight As, and went to one of the top universities in my country. Tim quit school ... ... operate, or how we ve driven great results, so we decided that we were co-CEOs. We d rather label what is working well for us than worry about how this looks to everyone else. Our responsibilities

... sycophantic behavior was traced back to reinforcement learning that overemphasized positive feedback . As a founder building AI-powered products, this incident hits close to home. It raises important questions: How do we ensure our AI models provide helpful, truthful responses without merely telling users what they want to hear? What safeguards can we implement to prevent AI from reinforcing harmful behaviors or beliefs? How do we balance user satisfaction with ethical responsibility

... What are your experiences with implementing responsible AI? What suggestions and best practices would you recommend to ensure AI has a positive impact on products and customers? I'm eager to hear your advice and perspectives ...