Miners predict S&P 500 closes at 5-minute intervals during trading hours, ranked by accuracy.
The simplest explanation
Like a continuous forecasting competition for stocks, with crypto rewards for top predictions.
No jargon. No whitepapers. Just the facts.
Sending prompts to frontier-model APIs exposes potentially sensitive data to the provider and any intermediary aggregator, and there is no cryptographic guarantee about what code is handling your request or your keys. Teams that need privacy have few drop-in options.
Miners predict S&P 500 closes at 5-minute intervals during trading hours, ranked by accuracy.
Every request runs through an Intel TDX-attested enclave with Intel-signed measurements verifying the exact gateway code, so operators cannot see prompts or upstream keys. It is OpenAI-API-compatible (works with Cursor, Cline, Claude Code) and prices models at or below official provider rates.
The best way to understand a new technology is to compare it to something familiar.
Every request runs through an Intel TDX-attested enclave with Intel-signed measurements verifying the exact gateway code, so operators cannot see prompts or upstream keys. It is OpenAI-API-compatible (works with Cursor, Cline, Claude Code) and prices models at or below official provider rates.
gmuses Bittensor's incentive layer to build something no single company could run alone.
Participants (called miners) on the gm subnet compete to produce the best outputs for ai inference tasks. Anyone with the right hardware can join.
Validators continuously evaluate miner outputs against objective benchmarks. The best performers rise, the worst are replaced. There's no human committee — the protocol decides.
Miners are paid in the gm alpha token in proportion to how good their work is. This creates a continuous competitive pressure that drives quality up and cost down — structurally, not just as a promise.
Because every participant is aligned toward the same goal — producing the best ai inference results — the network improves continuously without requiring a central team to manage it.
gm is Subnet 28 (SN28) on the Bittensor network — a decentralized AI protocol built on the TAO blockchain. Miners predict S&P 500 closes at 5-minute intervals during trading hours, ranked by accuracy.
Sending prompts to frontier-model APIs exposes potentially sensitive data to the provider and any intermediary aggregator, and there is no cryptographic guarantee about what code is handling your request or your keys. Teams that need privacy have few drop-in options.
Every request runs through an Intel TDX-attested enclave with Intel-signed measurements verifying the exact gateway code, so operators cannot see prompts or upstream keys. It is OpenAI-API-compatible (works with Cursor, Cline, Claude Code) and prices models at or below official provider rates.
The gm subnet has its own alpha token on Bittensor's dTAO system. It trades in the Bittensor liquidity pool and its price reflects market demand for the subnet's services.
AlphaGap tracks gm using its aGap score — a composite of development activity, token flow, and social signals. This page is for informational purposes only and is not financial advice. Always do your own research before making any investment decisions.
AlphaGap tracks signals, whale flows, developer commits, and the aGap score for every Bittensor subnet — updated continuously. Find the alpha gap before everyone else.
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