Most creators chase Hook, Algo updates and Timings that they post. meanwhile missing out on the most important piece of Puzzle “Taste” or we could say story telling, creating a community through stories is what’s gonna create a strong personal brand @pythonhulk Founder of one of the leading creator network @scribble_dao breaks this down for creators

Supreme court’s new ruling on Trump’s Tariffs and how Trump invoked Sec 122, 232 & 301 Impact on markets & more👇🏼

Two Paths Diverged in AI, One Raised $30B, The Other Gave Up Control Two things happened in AI in the last 24 hours that tell you everything about where this industry is heading. Anthropic closed a $30 billion Series G at a $380 billion valuation led by GIC, Coatue, D.E. Shaw, Founders Fund, and MGX. The company now runs on $14 billion in annualized revenue, with Claude Code alone pulling $2.5 billion ARR. controlled by a small group of investors and operators building closed systems at staggering scale. On the other side, Jacob Steeves, the co-founder of Bittensor stepped down to make @opentensor a fully community-owned protocol. One protocol concentrates. The other distributes. And the difference matters more than most people realize. The Closed Loop Problem Decentralized systems weren't built for the world we live in today. They were built for the world that's coming, one where autonomous AI agents interact with each other, execute transactions, manage resources, and make decisions at speeds humans can't match. Those agents will need infrastructure that no single corporation can throttle, reprice, or shut down. But here's what's actually happening: centralized AI is creating a closed control loop. Your data trains their models. Their models lock you into their ecosystem. Your usage generates revenue that funds more compute, more data collection, more lock-in. User data, privacy, and capital flow into the platforms that control the stack. Big Tech will pour roughly $650 billion into AI infrastructure this year. That's the construction of a closed operating system for intelligence itself. And with that much capital committed, the incentive to keep systems closed only grows stronger. Bitcoin for AI The need for a decentralized system that works like Bitcoin has never been more urgent. Bittensor is that system. Bittensor is an open network where anyone can create, train, and access AI. Just as Bitcoin is a credibly neutral platform for money no one owns it, no one controls it, everyone can verify it. Bittensor aims to be a credibly neutral platform for AI development. Open participation. No gatekeepers. Value flows to contributors based on what they produce, not who they know. The architecture mirrors Bitcoin deliberately. TAO has a fixed supply of 21 million tokens. No pre-mine. No ICO. No VC allocation at genesis. A four-year halving cycle that reduces issuance over time. The first halving hit on December 14, 2025, daily emissions dropped from 7,200 TAO to 3,600 TAO. That's a programmed supply shock, identical in design philosophy to Bitcoin's deflationary model. The difference is what the network produces: Bitcoin secures monetary transactions. Bittensor secures AI computation. What's Actually Happening On-Chain👇 In early 2025, Bittensor introduced dynamic TAO (dTAO), a market-based emission system that made subnets directly investible for the first time. Before this, emissions were allocated by a central committee of validators. dTAO removed that bottleneck and turned subnet selection into a competitive market. The result: the network exploded from 32 subnets pre-dTAO to 120+ active subnets today, spanning compute, data storage, AI agents, deepfake detection, and more. Subnet registration cost sits below $100K low enough for serious builders to enter, high enough to filter noise. But here's the stat that caught my attention: stake value is at an all-time high even while price has been in a downtrend. A total of 7.28 million TAO has been staked that's 68.2% of the issued supply locked into the network. When holders are staking more aggressively as price drops, they're telling you something about conviction. $TAO currently trades around $150 with a fully diluted valuation of roughly $3 billion. Institutional Signal Grayscale and Bitwise have both filed for TAO ETFs with the SEC. Grayscale's Bittensor Trust (GTAO) is already live on OTCQX. BitGo partnered with Yuma for institutional staking. Structured capital is positioning for decentralized AI as a distinct asset class. The Moat Nobody's Talking About Why not just use open-source models? Meta's Llama, DeepSeek, Mistral. they're free, improving fast, and closing the gap with proprietary models on most use cases. Here's the thing. Open-source models solve the software layer but not the infrastructure layer. You still need compute. You still need someone to run, host, and serve those models. And right now, that "someone" is almost always AWS, Azure, or Google Cloud, the same companies building their own closed AI products. Open-source AI running on centralized infrastructure is a better version of the current system. It's not a different system. Bittensor provides a decentralized infrastructure layer for AI services where compute providers compete on quality and price, model developers earn based on the value they create, and no single entity can throttle, censor, or reprice access to intelligence. That's the competitive moat.The infrastructure layer that lets those models operate without permission from a cloud provider. BUNTS POV The AI narrative is only going to get stronger from here. The market is pricing centralized AI as one of the most valuable asset classes. But every cycle of concentration creates the conditions for its alternative. Bitcoin emerged because centralized money had a trust problem. Bittensor is emerging because centralized AI has the same problem, amplified by the fact that AI is more consequential than money. $TAO at $3 billion FDV while the protocols it competes against philosophically are valued at $380-500 billion is a mispricing that either corrects or the decentralized AI thesis was never real. I think it corrects. The staking data, the institutional filings, the subnet growth, and the halving mechanics all point the same direction. Steeves stepping back to make TAO fully community-owned is the most Bitcoin-like move possible. You build the thing, prove it works, and hand it to the network. That's what credible neutrality looks like.