Michael Ambros
105 posts
@michaelambros
🏢 Acquisitions Entrepreneur | Founder & CEO @eKomi & Medici & OmegaForge | #BulletproofCoffee Lover
Agentic capability is improving fast. We believe Proof of Human is becoming critical for the internet and many of the platforms we use (like X). This paper explains why FaceID, face biometrics & government IDs won’t solve the problem, and what properties are most important.
I think this is the most insane thing the CIA has ever made public. 😨 They have a secret AI tool called Ghost Murmur. It detects your heartbeat from 40 miles away using AI. Not your phone. Not a tracker. Not a radio signal. Your heartbeat. It uses sensors built from synthetic diamonds to lock onto the electromagnetic fingerprint your heart produces every single beat, then pairs it with AI to filter that one signal from 1,000 square miles of noise. Last week, a wounded American pilot was hiding in a mountain crevice in Iran. No phone. No tracker. No way to call for help. America found him anyway. From the sky. By listening to his chest. But nobody mentioned the most important detail. This was Ghost Murmur's first operational use. It's been sitting classified for years. Tested. Ready. Waiting. They didn't reveal it to impress you. They revealed it because the rescue was already public. Every technology a government admits to is the one they've already moved past. Your heart has been broadcasting your location your entire life. Someone just built the receiver.
This paper is worth reading carefully. It introduces System 3 for AI Agents. The default approach to LLM agents today relies on System 1 for fast perception and System 2 for deliberate reasoning. But they remain static after deployment. No self-improvement. No identity continuity. No intrinsic motivation to learn beyond assigned tasks. This new research introduces Sophia, a persistent agent framework built on a proposed System 3: a meta-cognitive layer that maintains narrative identity, generates its own goals, and enables lifelong adaptation. Artificial life requires four psychological foundations mapped to computational modules: - Meta-cognition monitors and audits ongoing reasoning. - Theory-of-mind models users' beliefs and intentions. - Intrinsic motivation drives curiosity-based exploration. - Episodic memory maintains autobiographical context across sessions. Here is how it works: > Process-Supervised Thought Search captures and validates reasoning traces. > A Memory Module maintains a structured graph of goals and experiences. > Self and User Models track capabilities and beliefs. > A Hybrid Reward Module blends external task feedback with intrinsic signals like curiosity and mastery. In a 36-hour continuous deployment, Sophia demonstrated persistent autonomy. During user idle periods, the agent shifted entirely to self-generated tasks. Success rate on hard tasks jumped from 20% to 60% through autonomous self-improvement. Reasoning steps for recurring problems dropped 80% through episodic memory retrieval. This moves agents from transient problem-solvers to adaptive entities with coherent identity, transparent introspection, and open-ended competency growth. Paper: arxiv.org/abs/2512.18202 Learn to build effective AI agents in our academy: dair-ai.thinkific.com
Jamie Dimon’s monologue on our AI future: - 3.5 day workweeks - our kids will live to 100 and not have cancer - jobs will be eliminated but workers redeployed - “take a deep breath”
