For today's episode, we dive deep into the the intersection of AI and crypto, and discuss how this sector has produced more hype than results (so far).
While both fields promise decentralization, combining them effectively has proven challenging. Most projects either centralize AI decision-making or create token systems without clear utility.
Bittensor is taking a different approach to this problem by creating a network where AI models compete for rewards through market incentives. This system lets token holders decide which models receive rewards based on measurable performance, rather than promises or marketing.
Their recent update shifted voting power from validators to token holders, aiming to align incentives more directly with utility. One project testing this approach is Mode, with their new subnet Synth, an AI model competing to predict market volatility.
The Synth subnet is live, with data scientists building rival prediction models. Models face off in open competition with market-driven feedback, creating natural selectionโstrong performers earn more rewards, while weaker ones get filtered out.
Letโs dive into what this means, how Synth is applying it, and whatโs next for onchain AI.
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๐๐๐ฆ๐๐๐๐๐ ๐๐ฅ: ๐๐ฏ๐ท๐ฆ๐ด๐ต๐ช๐ฏ๐จ ๐ช๐ฏ ๐ค๐ณ๐บ๐ฑ๐ต๐ฐ๐ค๐ถ๐ณ๐ณ๐ฆ๐ฏ๐ค๐บ ๐ข๐ฏ๐ฅ ๐๐ฆ๐๐ช ๐ฑ๐ญ๐ข๐ต๐ง๐ฐ๐ณ๐ฎ๐ด ๐ค๐ฐ๐ฎ๐ฆ๐ด ๐ธ๐ช๐ต๐ฉ ๐ช๐ฏ๐ฉ๐ฆ๐ณ๐ฆ๐ฏ๐ต ๐ณ๐ช๐ด๐ฌ๐ด ๐ช๐ฏ๐ค๐ญ๐ถ๐ฅ๐ช๐ฏ๐จ ๐ต๐ฆ๐ค๐ฉ๐ฏ๐ช๐ค๐ข๐ญ ๐ณ๐ช๐ด๐ฌ, ๐ฉ๐ถ๐ฎ๐ข๐ฏ ๐ฆ๐ณ๐ณ๐ฐ๐ณ, ๐ฑ๐ญ๐ข๐ต๐ง๐ฐ๐ณ๐ฎ ๐ง๐ข๐ช๐ญ๐ถ๐ณ๐ฆ ๐ข๐ฏ๐ฅ ๐ฎ๐ฐ๐ณ๐ฆ. ๐๐ต ๐ค๐ฆ๐ณ๐ต๐ข๐ช๐ฏ ๐ฑ๐ฐ๐ช๐ฏ๐ต๐ด ๐ต๐ฉ๐ณ๐ฐ๐ถ๐จ๐ฉ๐ฐ๐ถ๐ต ๐ต๐ฉ๐ช๐ด ๐ค๐ฉ๐ข๐ฏ๐ฏ๐ฆ๐ญ, ๐ธ๐ฆ ๐ฎ๐ข๐บ ๐ฆ๐ข๐ณ๐ฏ ๐ข ๐ค๐ฐ๐ฎ๐ฎ๐ช๐ด๐ด๐ช๐ฐ๐ฏ ๐ฐ๐ณ ๐ง๐ฆ๐ฆ ๐ข๐ด ๐ข ๐ด๐ฑ๐ฐ๐ฏ๐ด๐ฐ๐ณ๐ด๐ฉ๐ช๐ฑ, ๐ช๐ง ๐ต๐ฉ๐ช๐ด ๐ช๐ด ๐ต๐ฉ๐ฆ ๐ค๐ข๐ด๐ฆ ๐ธ๐ฆ ๐ธ๐ช๐ญ๐ญ ๐ข๐ญ๐ธ๐ข๐บ๐ด ๐ฎ๐ข๐ฌ๐ฆ ๐ด๐ถ๐ณ๐ฆ ๐ช๐ต ๐ช๐ด ๐ค๐ญ๐ฆ๐ข๐ณ. ๐๐ฆ ๐ข๐ณ๐ฆ ๐ด๐ต๐ณ๐ช๐ค๐ต๐ญ๐บ ๐ข๐ฏ ๐ฆ๐ฅ๐ถ๐ค๐ข๐ต๐ช๐ฐ๐ฏ๐ข๐ญ ๐ค๐ฐ๐ฏ๐ต๐ฆ๐ฏ๐ต ๐ฑ๐ญ๐ข๐ต๐ง๐ฐ๐ณ๐ฎ, ๐ฏ๐ฐ๐ต๐ฉ๐ช๐ฏ๐จ ๐ธ๐ฆ ๐ฐ๐ง๐ง๐ฆ๐ณ ๐ช๐ด ๐ง๐ช๐ฏ๐ข๐ฏ๐ค๐ช๐ข๐ญ ๐ข๐ฅ๐ท๐ช๐ค๐ฆ. ๐๐ฆ ๐ข๐ณ๐ฆ ๐ฏ๐ฐ๐ต ๐ฑ๐ณ๐ฐ๐ง๐ฆ๐ด๐ด๐ช๐ฐ๐ฏ๐ข๐ญ๐ด ๐ฐ๐ณ ๐ญ๐ช๐ค๐ฆ๐ฏ๐ด๐ฆ๐ฅ ๐ข๐ฅ๐ท๐ช๐ด๐ฐ๐ณ๐ด.
