In the span of a single week, Subnet 44 announced a co-selling alliance with PwC France, won a startup pitching contest against roughly a thousand competitors at Paris Blockchain Week, and put a PwC partner […]
Every network that claims to be decentralized eventually has to answer the same question: who actually keeps it honest? In Bittensor‘s case, the answer is validators. They are the participants who evaluate miner output, score […]
Every AI model that generates text, processes an image, or executes a trade is drawing on hardware that belongs to one of a very small number of companies. AWS, Google Cloud, and Microsoft Azure control […]
A structural shift is unfolding in financial markets: What once required institutional infrastructure, quant teams, and specialized tools can now be executed by individual developers using rapidly advancing AI systems. As a result, the market […]
Most AI agents today are busy, but not useful: They summarize, fetch, and respond, yet rarely produce anything that compounds in value. That gap between activity and impact is where Gittensor (Bittensor Subnet 74) makes […]
For years, the critique of decentralized AI was blunt: nice theory, where are the real workloads? This week, that question got an answer loud enough to rattle the industry. Venice AI, the privacy-focused, uncensored AI […]
Last week, the Bittensor ecosystem was shaken by the abrupt exit of the Covenant team, a move that saw roughly $10 million walk out the door and left the affected subnets drained of their founding […]
At first glance, the name makes no obvious sense. Bittensor does not contain the letters to spell TAO, and nothing about its core framing, “decentralized AI”, points in that direction. What is clear, however, is […]
Speaking on Hashrate with Mark Jeffrey, Metanova CEO Micaela described the project as a crypto biotech company building on the Bittensor network, with a focus on AI-driven drug discovery. More on Metanova (SN68): Metanova launched […]
Most people open a tokenomics dashboard, see a wall of numbers, and quietly close the tab, telling themselves they will come back later when they have more time, more patience, or more context. They rarely […]
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