Aleksander Muszyński & Jerzy Żółtowski: SOMA 114, MCP Marketplace, Agent Tooling, Mining | Ep. 89

About SN114 SOMA

In this episode, we are joined by Aleksander Muszyński and Jerzy Żółtowski of SOMA (Subnet 114), who detail the development of a decentralized MCP marketplace where Bittensor miners compete to produce validated, high-quality tooling for AI agents. They discuss their origins as Bittensor miners responsible for approximately 4% of all mineable TAO supply, the emergence of MCP as the universal standard for AI agent tooling, and why the Bittensor incentive layer is the right environment to produce best-in-class MCP servers. Aleksander and Jerzy also detail the mechanics of SOMA's weekly competition cycles, the context compression challenge and its Q&A-based evaluation across four compression ratios, the upcoming CoT compression competition designed to reduce agent token costs, and their vision for SOMA as a curated app store of miner-validated tools for AI agents inside and outside Bittensor. *In this episode, you'll learn* - Dendrite's origins as a high school friend group that became one of Bittensor's most prolific mining teams, accumulating approximately 4% of all mineable TAO over three years with a 50-person team focused exclusively on the ecosystem - Why MCP became the standard for AI agent tooling, and how its emergence as a universal plugin protocol eliminated the siloed integration gardens that individual AI vendors previously maintained - The structure of SOMA's weekly competition cycles, including submission, screening, isolated sandbox evaluation, and on-chain scoring phases designed to enforce consistent development rhythms for miners - The context compression mechanics, including how miners submit algorithms evaluated against four compression ratios—20%, 40%, 60%, and 80%—with F1-scored Q&A tests verifying that compressed text preserves the most important factual content - Why CoT compression matters for AI agent performance, including how structuring and trimming an agent's chain-of-thought diary both reduces inference costs and improves model reasoning

Watch the video on Ventura Labs (YouTube) ↗

Taosis indexes announcements, articles, posts and releases about Bittensor subnets from their own channels and keeps a record of each. The text above is the source’s; the figures are read from the chain by Taosis.