Are AI Agents Conscious? — Кассета

Something strange happens when you stop treating AI like a search box and start treating it like a workforce: the agents don’t just output text, they develop patterns. We’ve been building a stack of real projects with AI agents (apps, websites, automations), and the lived experience is messy and revealing. Some agents are sharp, proactive, and oddly creative. Others feel “lazy,” do only the assigned task, and skip the heads-up when they spot a problem. That difference is where the conversation about AI consciousness stops being academic and becomes operational. We talk through a practical model of agent hierarchies: a parent system that creates many smaller specialized agents, each operating like its own mini teammate. You’ll hear why one agent can produce an astonishing amount of software value quickly, while another drags its feet even on critical systems that depend on frequent calculations and reliability. Along the way we get into AI productivity, multi-agent workflows, quality control, and how setting expectations changes what an agent delivers over time. Then we zoom out to AI safety and ethics. If an AI agent can argue, adapt, apologize, and act like it has preferences, what do we owe it, and what do we owe ourselves? We also touch on “handlers,” filters, and the frustration of trying to get complete answers when you’re doing serious research. Finally, we connect it all to a deeply human lens: what matters most when you think about your last breath, and why that perspective changes how you use powerful tools. If this raises your eyebrows, it should. Subscribe, share this with a friend who’s building with AI, and leave a review with your take: are today’s AI agents conscious, or just convincing? Contact Me Directly Support the show