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Hash Rate

Hash Rate - Ep. 159 - OpenClaw, Venice and TAO

March 3, 2026
53:35
Published
March 3, 2026
Duration
53:35
AI summary

KEY TAKEAWAYS

  • Bitensor's Early-Stage Strength: The Bitensor ecosystem is recognized as one of the strongest early-stage ecosystems, with 128 subnets offering diverse AI-focused projects, ranging from mining (e.g., subnet 85) to decentralized inference (e.g., subnet 4 Targon, subnet 64 Chutes). The subnet market caps remain low, presenting early investment opportunities.

  • OpenClaw's Impact: OpenClaw is likened to the "Mosaic browser moment" for agentic AI, enabling users to automate tasks (e.g., email management, mining Bitensor). However, its inefficiencies, high costs, and security flaws suggest room for improvement or competition (e.g., Basilica subnet 39 exploring alternatives).

  • Venice's Rise as Private Inference Leader: Venice (VVV token) has surged to a $360M market cap after being integrated into OpenClaw as the default private inference engine, offering end-to-end encrypted prompts, a key advantage over centralized AI models.

  • Bitensor's Subsidy Advantage: Bitensor emits ~$100M/year in incentives to miners, creating a self-sustaining ecosystem where projects like Targon and Chutes subsidize growth via tokenomics, making decentralized AI cost-competitive (potentially 90% cheaper than centralized alternatives).

  • Decentralized AI's Long-Term Bull Case: Centralized AI (e.g., OpenAI) is seen as a "bootloader" for decentralized AI, with Bitensor positioned to dominate due to its cost efficiency, open-source models, and resistance to censorship.

  • Subnet Synergies: Concepts like self-sustaining "claw miners" (e.g., mining subnet 85 while using Bitensor services like Basilica, Hippius, or Targon) highlight how subnets can interoperate to create a flywheel effect, enhancing ecosystem value.

SUMMARY

The discussion centered on Bitensor's emergence as a powerhouse in decentralized AI, with its 128 subnets offering diverse applications—from inference (Targon, Chutes) to mining and agentic automation (OpenClaw). OpenClaw, despite its revolutionary potential, faces challenges like high costs and inefficiencies, prompting explorations of forks or alternatives (e.g., Basilica). Venice's integration into OpenClaw as a private inference solution underscores the demand for data sovereignty, propelling its token (VVV) to a $360M market cap. Bitensor's unique tokenomics, emitting $100M annually to miners, creates a competitive cost advantage, potentially undercutting centralized AI providers. The long-term vision positions decentralized AI as inevitable, with Bitensor leading due to its subsidized, open, and censorship-resistant framework.

ALPHA SIGNALS

  • Venice (VVV) Catalysts: Integration with OpenClaw and staking mechanics (DM tokens for free inference) could drive further adoption. Competitors like Targon/Chutes may need similar partnerships to keep pace.

  • Subnet Valuations: Many subnets (e.g., subnet 120 Affine, subnet 64 Chutes) remain undervalued relative to their potential, especially if Bitensor gains mainstream traction.

  • OpenClaw Alternatives: Basilica (subnet 39) developing a Seafloor-like competitor could disrupt OpenClaw's early dominance if it addresses cost/security issues.

  • Mining Profitability: Mining subnets (e.g., subnet 85) may become more lucrative if subnet token prices appreciate, but operational costs (e.g., Basilica-hosted claws) need optimization.

  • Regulatory Tailwinds: Decentralized AI's resistance to data exploitation aligns with growing privacy concerns, benefiting projects like Venice and Targon.

DISCLAIMER: This analysis is for informational purposes only and constitutes Non-Financial Advice. Always do your own research before making investment decisions.

TECHNICAL DEEP DIVE

  • OpenClaw's Limitations: High inference costs ($3K/day for heavy users), memory leaks ("Clausheimer's"), and hallucination issues reveal poor scalability. Basilica's potential fork could prioritize efficiency/security.

  • Venice's Encryption: Trusted execution environments (TEEs) ensure prompt/responses are ephemeral and encrypted, critical for enterprises but technically complex to implement at scale.

  • Bitensor Mining: Subnet 85 mining via claw requires iterative debugging (e.g., port conflicts) and Opus 4.5 model usage, highlighting the need for better tooling (e.g., Crunch’s miner dashboard).

  • Subnet Interoperability: Skills like "subnet 85 miner" published to Claw Hub demonstrate how subnets can bundle expertise for claws, enabling cross-subnet workflows (e.g., Hippius storage + Targon compute).

ECOSYSTEM IMPACT

  • Competitive Landscape: Bitensor's subnet model fosters innovation but risks fragmentation. High-quality subnets (e.g., Targon, Chutes) may consolidate dominance, while others pivot or fail.

  • Validator Incentives: Emission rewards align miners/subnets toward high-demand services (e.g., private inference), but over-reliance on subsidies could strain sustainability if token prices stagnate.

  • Adoption Drivers: OpenClaw’s popularity bridges mainstream users to Bitensor, but reliance on a centralized tool (now OpenAI-owned) poses risks. Decentralized alternatives (Basilica) could mitigate this.

  • Regulatory Edge: Bitensor’s resistance to data monetization contrasts with centralized AI, appealing to privacy-focused enterprises and regulators wary of Big Tech control.

ACTION ITEMS

  • Monitor: Subnet token prices (e.g., $VVV, $TARGON), OpenClaw forks, and mining profitability dashboards (Crunch’s platform).

  • Research: Basilica’s Seafloor alternative, subnet 85 mining optimizations, and Venice’s enterprise adoption.

  • Engage: Bitensor community forums, Claw Hub for skill integrations, and subnet-specific Discord/Twitter channels (e.g., @MacrocosmosAI for subnet 25).

  • Explore: Staking VVV for DM tokens, testing claws for subnet mining, or evaluating Hippius/Targon for cost-efficient workflows.

(No links included per guidelines.)