SUMMARY: This video features Candles (Subnet 31), a prediction market platform where miners create predictive models for crypto prices, starting with $TAO, and users can bet on outcomes using the subnet’s $ALPHA token. The platform generates revenue through entry fees similar to DraftKings and FanDuel, with deposits converting to $ALPHA creating strong buy pressure, while…
By: siamkidd Since entering crypto in 2016, I’ve liked many different projects. Some I’ve liked for years — but aside from Bitcoin, I never really found a “home.” Crypto is still 99% noise: empty promises, announcements of announcements, and endless nonsense. Then I found Bittensor. For the first six months, I thought it was pie-in-the-sky…
By: Victor The Bittensor ecosystem continues to accelerate at a remarkable pace, with new partnerships, product breakthroughs, and subnet launches emerging across the network. Here are the most important developments from the past week. Subnet Updates and Achievements Score (SN44) Score partnered with Avia, one of Europe’s largest gas station networks with over 3,000 locations….
SUMMARY: Candles (Subnet 31) is a decentralized prediction market native to Bittensor, allowing users to speculate on $TAO price movements using miner-generated predictive models. The video explains how the subnet’s ‘$ALPHA’ token serves as the in-platform currency, how fees and tokenomics create revenue and buy pressure, and why upcoming expansion into broader markets like sports…
SUMMARY: This video breaks down Data Universe, a Bittensor subnet that provides open, affordable access to massive real-time social media data from X (Formerly Twitter), Reddit, and YouTube; making scraping and analysis far easier than traditional Web2 methods. It explains how miners compete to supply the most valuable data, how validators determine demand through “dynamic…
Contributor: School of Crypto It wasn’t supposed to be possible to pre-train a foundational model off the internet alone. The consensus in the A.I. Industry was clear: you needed massive datacenters with expensive cooling systems, enterprise-grade machines, and thousands of GPUs clustered together to create a large language model (LLM) with any real capability. The…
SUMMARY: Siam Kidd highlights Macrocosmos’ Data Universe; a powerful decentralized data engine, built on Bittensor’s Subnet 13, that scrapes and structures more than 55 billion rows of real-time Reddit, X (Formerly Twitter), and YouTube content for intelligence and commercial use. This video explains how the subnet integrates with partners like x402 to deliver Cambridge Analytica-level…
SUMMARY: Retail investors can now buy Subnet ‘$ALPHA’ tokens like Chutes, Hippius, and Lium directly on centralized exchanges such as MEXC, removing the old barrier of needing a TAO wallet and other DeFi tools. This video breaks down why this shift matters, showing how it unlocks new liquidity and easier onboarding for anyone entering the…
In an industry defined by scale, secrecy, and billion-dollar data centers, Covenant is attempting something that borders on the unthinkable: making frontier-model pre-training accessible to the entire world. On Hash Rate Pod’s episode 145 (see the video below), Mark Jeffrey explored with Covenant Labs’ Sam Dare what may be one of the most ambitious projects…
SUMMARY: This video walks through how to build an automated monitoring system that scans every Bittensor subnet channel on Discord and detects early signals of subnet sales, cold-key swaps, and community speculation. By combining keyword filters with an LLM classifier and hosting the bot on a VPS (Virtual Private Server), the setup can trigger instant…
