{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/6ab40ca8079b46c8197b3640/6af4d995a70396bb6fa15dd5?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Episode 151: Bittensor - The AI Subnet Revolution","description":"<p>Disclaimer: this podcast uses an A.I. generated voice because the host is not native english speaking.</p><p><br></p><p>What is Bittensor, and why has TAO become one of the most discussed and fastest-growing cryptocurrencies in the entire AI and crypto intersection? In this episode of Crypto for Beginners, we explore Bittensor — the decentralised network for artificial intelligence — and explain why the idea of an open marketplace for machine intelligence is attracting some of the most serious minds in both crypto and AI.</p><p><br></p><p>Bittensor was created by Jacob Steeves and Ala Shaabana and launched in 2021. Its founding insight was profound: AI development is currently dominated by a handful of large technology companies — OpenAI, Google, Anthropic, Meta — that control the most powerful models and decide who can access them. Bittensor proposes an alternative: a decentralised network where anyone can contribute AI models, datasets, and computing power, and be rewarded in TAO tokens for the value they create. Just as Bitcoin created a market for decentralised money, Bittensor aims to create a market for decentralised intelligence.</p><p><br></p><p>Bittensor&#39;s most important architectural innovation is the subnet system, introduced in 2024 with the dTAO upgrade. Subnets are specialised sub-networks within Bittensor, each focused on a specific AI task — text generation, image recognition, financial prediction, protein folding, data scraping, and dozens of others. Each subnet has its own token, its own validators, and its own reward mechanism. TAO holders allocate their stake to subnets they believe are valuable, and those subnets receive proportionally more TAO emissions. This creates a market where capital flows toward the most useful AI capabilities — a Darwinian selection mechanism for machine intelligence.</p><p><br></p><p>The dTAO upgrade was transformative. Before dTAO, all TAO emissions went to a single network. After dTAO, subnet tokens trade openly, allowing price discovery for specific AI capabilities. Subnet 1 (text prompting), Subnet 9 (pretrained models), and Subnet 18 (cortex.t) have attracted enormous validator interest. Yuma Consensus — Bittensor&#39;s novel consensus mechanism — evaluates the quality of AI outputs rather than simply verifying transactions, using validator consensus on model performance to determine rewards.</p><p><br></p><p>In November 2026, Kraken completed its dTAO integration and announced plans to list individual subnet tokens — a significant milestone for accessibility. TAO is held by some of the most prominent crypto funds as a bet on the convergence of blockchain and artificial intelligence. The vision of a world where AI capabilities are open, tradeable, and rewarded by decentralised markets rather than corporate gatekeepers is one of the most compelling narratives in all of technology.</p><p><br></p><p>Topics covered: Bittensor TAO explained for beginners, decentralised AI network subnets, dTAO upgrade subnet tokens, TAO price prediction 2026, Bittensor vs OpenAI comparison, Yuma Consensus AI evaluation, how to stake TAO Bittensor, AI crypto tokens 2026, best AI blockchain project, Bittensor subnet ecosystem, cryptocurrency for beginners This episode is essential listening for anyone who wants to build real knowledge about the crypto space — not just price speculation, but the deeper forces shaping which projects survive and which ones fade. Whether you are a complete beginner taking your first steps into digital assets, or an experienced investor looking to sharpen your understanding, Crypto for Beginners is designed to give you the foundational knowledge and critical thinking tools you need.</p>","author_name":"Robin Verrue"}