ATLAM ױ

AI just diagnosed cancer. Without a single human telling it where to look. A team of specialized AI agents analyzed gigapixel pathology slides on their own. No manual guidance. No selected regions. Just agents collaborating to find what matters. This is what multi-agent AI looks like in the real world. 🧵

While the mining side of Qubic just had the biggest week in its history, there's something else cooking that most people haven't even noticed yet. My Last Match. Built by @c___f___b himself. 🧵 Here's what it is, how it works, and why it matters 👇

Scientists mapped the entire brain of a fruit fly. 130,000 neurons. 50 million connections. Every single wire accounted for. Why does that matter? Because when they built a simulation based on that wiring and pressed play, the AI predicted the fly's behavior without ever being trained on it. No data. No learning phase. The architecture itself was intelligent. Think about that for a second. Most AI today works like cramming for an exam. Feed it billions of examples and hope it figures out the pattern. This is closer to how a newborn already knows how to breathe and swallow. Some intelligence is baked into the structure before learning even starts. Dr. @josesanchezhb walks through the full simulation in this video. You can see visual data flow from the fly's eyes through processing centers to the motor system that controls walking and flying. All driven by the shape of the network, not training. This is the science behind Neuraxon and what Qubic is building toward with Aigarth. Not bigger models. Smarter architecture. Systems where intelligence comes from organization, not just optimization. youtu.be/PoujgJKyYKk