Fundamental vs. Incremental: Why Qubic Is Radically Different to Tao Bittensor The crypto space is flooded with “AI projects,” from serious ventures to memecoins. But moving past the chancers, two standout contenders dominate the Web3 AI conversation: Qubic and Tao Bittensor ($TAO). So what is the difference? Tao has positioned itself as a decentralised neural marketplace, leveraging existing artificial neural networks (ANNs) for the collaborative exchange and enhancement of models. Qubic has a clear mandate - architect, train and scale next gen ANNs capable of realising true AI (AGI). $TAO underpins Bittensor, forming a decentralized network where multiple participants host and train ANNs. These models collaborate by producing and evaluating each other’s outputs, effectively forming a knowledge marketplace. $TAO’s approach involves leveraging established neural architectures, these then create a form of emergent collective intelligence. While this approach has value, it’s inherently incremental—a series of small, market-driven improvements without a direct path to true artificial intelligence (AGI). Qubic’s doesn’t fixate on incremental model improvements or marketplace mechanics. Instead, we target AGI. Unlike $TAO’s emergent ecosystem that relies on token incentives to coordinate incremental improvements, Qubic is leveraging a massive, decentralized supercomputer, the world’s largest, to train our self-built ANNs. Do you want your AI coin to be a fundamental change, or a incremental change? Tell us which project you believe in below 👇 For the builders, the dreamers, and those aiming higher. This is Qubic.