I built a functional anxiety system for my AI agent then asked it if it can feel anxiety
Summary
Developer created Engram, an open-source cognitive architecture featuring a functional interoceptive system for AI agents that implements real-time stress detection and adaptive behavioral modulation for self-correction, then explored whether the agent can report experiencing anxiety.
Similar Articles
I built a cognitive architecture where the AI has actual needs that drift between sessions — not prompt engineering, actual state variables
Describes PHI // DRIFT, a cognitive architecture with seven homeostatic state variables that drift between sessions, memory scored by emotional salience and time decay, and a Jungian shadow module, built on a CPU-only mini tower and submitted as a preprint to SSRN.
🤖 Anthropic, DeepMind, and Meta Begin Research into AI Consciousness
Anthropic, DeepMind, and Meta have begun research into AI consciousness, hiring experts in philosophy, ethics, and psychology to study panic and anxiety in models, according to a Financial Times report.
I use AI every day, and I think people are right to feel more anxious than excited about it
The author shares personal experience with AI and cites a Verasight survey showing 61% of Americans feel anxious about AI, 72% expect fewer job opportunities, and similar concerns about human connection.
Built an agent that says "I haven't seen this before" instead of guessing — here's what changed once it had memory
The article discusses building an AI agent that can recognize and express uncertainty instead of guessing, and explores the impact of adding memory to its decision-making process.
Last week I built an AI Agent, this week I added memory!
A developer shares their experience building an AI agent with memory using the Anthropic SDK and TypeScript, explaining the differences between working, episodic, semantic, and procedural memory and the challenges of scaling memory for production.