Google just released the new age of AI - the name is Gemini 3, building onto the past, separated by 60 years of risk. 🛰️ Google's Gemini 3 Pro model and the 1965 NASA mission share a similar goal: pushing the absolute limits of control. We compare the audacity of the past with the unpredictable risk of the future.
We dive into the history: the near-fatal splashdown of Gus Grissom's capsule, the groundbreaking Orbital Maneuvering System (OMS) test, and the cautionary tale of the cracked faceplate—a failure in material science that immediately changed astronaut safety protocols. It was a fight for control over a hostile physical world.
Now, the battle is digital. We dissect Gemini 3's staggering capabilities, including the Agent Mode that navigates interfaces autonomously and its SWE Bench verified coding performance. We examine its world-leading score on the GPQA Diamond reasoning benchmark, confirming its status as a genuine expert agent.
But with this power comes risk: the model's measured high hallucination rate. 🤖💔 The paradox is simple: Is a physical system that fails predictably (the 84km landing miss) less terrifying than a digital system that is autonomously capable but reliably unreliable? We analyze the severe cost of this new power and the governance structures needed to manage an architect who is occasionally guaranteed to be wrong.
