Bittensor Week – 9 February 2026: News, TAO Market Update.

Big Events in the Bittensor Ecosystem

General Tensor Rebrands RoundTable21 as General Tensor Validator (GTV) in the Bittensor Network

General Tensor has officially rebranded RoundTable21 (RT21) as the General Tensor Validator (GTV). The move signals a strategic consolidation within the Bittensor ecosystem. It reflects long-term ownership alignment rather than any operational change.

General Tensor confirmed that the WildSageLabs team continues to operate the validator. The validator also runs on the same physical infrastructure inside a secure data center environment. The rebrand highlights stronger conviction, clearer governance, and tighter integration with General Tensor’s broader decentralized AI strategy.

RoundTable21 has played an important role in Bittensor’s validator history. In October 2024, it became the network’s first validator to be involved in an acquisition, when General Tensor acquired a 50% stake. By mid-2025, General Tensor became the majority owner. That transition laid the groundwork for the current rebrand into GTV.

According to the company, bringing the validator fully under the General Tensor name supports long-term reliability and strengthens network longevity. It also reinforces subnet output authenticity, one of the core pillars of the Bittensor protocol as the ecosystem continues to scale across dozens of subnets.

The validator now operates exclusively under the name General Tensor Validator (GTV).

Subnet Updates

Chutes (SN64) Launches on Novelty Search: A Case Study in Bittensor-Based AI Applications

Chutes (SN64) announced that it had gone live on Novelty Search. The company also published a short thread highlighting recent developments across its platform. The update combined three elements: revenue figures, a brief overview of growth, and the release of a new product called Chutes Search. Although the thread remains short, it offers a clear snapshot of how a Bittensor-based application is positioning itself within the broader AI market.

The announcement opens with revenue. Chutes reported more than $1.35 million in revenue over the previous ninety days while operating on a subnet. The company separated the data into consumer fiat revenue, B2B enterprise revenue, and cumulative fiat revenue since October 10. Chutes also stated that daily revenue now covers 30% to 40% of operating expenses.

Chutes framed these numbers as a contrast to large centralized AI providers. The thread cited OpenAI and suggested that it covers a much smaller share of its costs through revenue. This comparison works rhetorically, but readers should treat it with caution. OpenAI and Chutes operate at very different scales and follow different strategies. They also maintain distinct cost structures, research goals, and funding models. As a result, the comparison functions more as a narrative device than a direct economic benchmark. Even so, the disclosure itself stands out, since few decentralized AI projects share revenue data with this level of detail.

The second part of the thread described three phases of daily revenue growth. Chutes began with modest figures in early 2025. It later reached consistent daily revenue in the high four- to low five-figure range by late 2025 and early 2026. The company also stressed that it achieved this growth without venture capital funding, reinforcing a story of organic expansion.

From an analytical perspective, the figures point to rising demand over time. However, the thread does not explain what drove each growth phase. It also does not clarify whether higher revenue led to better margins, higher costs, or both. Without that context, the data remains informative but incomplete.

The final section of the announcement focused on product development. Chutes launched Chutes Search, which it described as a Perplexity-style AI search application running entirely on Bittensor infrastructure. The company positioned it as a web search and research tool that supports deeper queries, citations, and user authentication through Chutes accounts. The thread also mentioned a “bring your own compute” model and stated that the codebase would be open sourced the following week.

From a technical standpoint, this release matters because it presents Bittensor as more than a coordination layer. It positions the network as a backend for consumer-facing AI applications. Until now, most Bittensor activity has centered on subnets, mining incentives, and model performance. Chutes Search shifts attention toward end-user products that hide much of that underlying complexity. Still, the announcement does not confirm how fully decentralized the system is, nor does it explain what orchestration or fallback mechanisms might exist.

The mention of bring your own compute adds another important dimension. If implemented as described, users or organizations could supply their own resources instead of relying entirely on shared infrastructure. This approach aligns with Bittensor’s design philosophy, but it also introduces questions about usability, reliability, and standardization. Decentralized systems often trade simplicity for flexibility, and Chutes has not yet explained how it manages those trade-offs.

Overall, the announcement signals a clear direction for Bittensor-based development. Chutes aims to show that decentralized AI infrastructure can support real products with paying users. At the same time, the thread leaves open questions around long-term sustainability, competitive differentiation, and whether decentralization delivers tangible benefits beyond architectural change.

For that reason, the launch should be viewed as an experiment in progress, not a final proof point. Chutes Search provides a concrete example of Bittensor’s potential beyond theory, while also highlighting the gap between infrastructure claims, product execution, and long-term viability.

Bitcast (SN93) Strengthens Its Position in the Bittensor Ecosystem With Three Strategic Collaborations in One Week

Over the last week, Bitcast (SN93) has announced a series of new collaborations that clearly signal a shift toward deeper ecosystem integration within Bittensor. Instead of focusing solely on internal development, Bitcast has moved to actively collaborate with other subnets and external operators, covering blockchain data intelligence, Web3 marketing execution, and applied AI use cases.

On February 5, Bitcast announced a collaboration with Hermes (SN82), a Bittensor subnet focused on high-performance blockchain data intelligence. According to Bitcast, Hermes is tackling a core infrastructure problem: making accurate blockchain data available at speeds that general-purpose LLMs cannot reliably achieve. Hermes confirmed the collaboration publicly, stating that both teams are working together to highlight Hermes and its AI-native approach to blockchain data within the Bittensor network. While no technical integration details were disclosed, both sides explicitly framed the relationship as an active collaboration.

One day earlier, on February 4, Bitcast announced an official partnership with OMNI, a global Web3 marketing agency that has supported growth campaigns for established crypto brands for more than five years. Bitcast stated that OMNI has already integrated Bitcast into its client delivery process, moving the relationship beyond experimentation. This announcement is particularly relevant in the context of Bittensor, as it demonstrates a subnet being used operationally in commercial workflows rather than remaining purely experimental.

On February 3, Bitcast published a post announcing that it would be diving into the subnet behind what it described as the next evolution of sales intelligence. The post focused on inefficiencies in traditional lead generation and highlighted LeadpoetAI as a project building systems that qualify leads before they reach sales teams. Although the announcement did not explicitly label the relationship as a partnership, Bitcast’s decision to spotlight LeadpoetAI through its own channel indicates a strategic ecosystem alignment rather than casual commentary.

Taken together, these three announcements show Bitcast actively expanding its footprint within the Bittensor ecosystem through collaboration instead of isolation. Two of the relationships, Hermes and OMNI, are explicitly defined as partnerships, while the LeadpoetAI initiative represents a coordinated visibility and positioning effort.

As Bittensor continues to evolve toward a more production-oriented AI economy, collaborations like these provide early signals of real-world usage and subnet relevance. Bitcast’s recent activity offers a clear, factual snapshot of how one subnet is embedding itself more deeply into the operational fabric of the network-without relying on hype or speculative narratives.

ReadyAI (SN33) Taps Chutes to Power Decentralized LLM Inference

ReadyAI (SN33) has announced a major backend upgrade by integrating Chutes (SN64) as its preferred inference provider. The move allows SN33 miners and validators to route LLM inference through Chutes’ decentralized compute network, keeping volume and utility inside the Bittensor ecosystem instead of sending demand to centralized providers like OpenAI.

The integration also improves network resilience by reducing single points of failure in the validation pipeline. In addition, SN33 is adding OpenRouter to increase model optionality and provide redundancy across its inference stack.

Testnet is already live, with mainnet deployment expected next week.

Arion Rollout Begins on Hippius (SN75) as Miners Start Deployment

Hippius has started the rollout of Arion, a new component within its network infrastructure. The deployment begins immediately, with miners instructed to first run the standard Hippius setup consisting of a Hippius node and IPFS, and then add the Arion module.

Official setup instructions are available through Hippius documentation for running both the blockchain node and the miner. The Arion codebase is also publicly available on GitHub.

Over the next seven days, Hippius plans to conduct heavy load and stress testing. These tests will include migrating and replaying large volumes of stored files in order to measure real-world performance under sustained pressure.

Hippius has stated that miner weights are expected to fluctuate during this period as more Arion miners come online and network connections stabilize. The team also noted that results will not appear immediately, since accurate and stable metrics require a sufficient number of active Arion miners.

To ensure Arion-related data is properly displayed, Hippius will also deploy updates to both the chain and the indexer. The project confirmed that currently hosted data will remain intact and that the rollout is being handled as a controlled transition.

The rollout is positioned as part of a broader roadmap, with bridge deployment, HAlpha, and later confidential computing listed as the next planned milestones.

This update is relevant to the Bittensor ecosystem, as Hippius continues expanding its operational infrastructure and miner participation requirements.

404-GEN (SN17) Reports Rising Adoption After Mesh Generation Launch

404-GEN, a project connected to the Bittensor ecosystem, says usage of its new AI mesh generation tool is rising quickly. The team announced on X that it launched the feature three days ago, and adoption has already surged.

The tool lets users generate 3D meshes with AI and targets creators and developers building 3D assets for games, simulations, and virtual environments. Early community feedback praises the generation quality and points to growing interest in practical AI products built around Bittensor.

TAO Market Update

Price: $155.45-$168.29
Weekly result (7d): -20.59% to -20.59%
Ranking: #39-#39
Market Cap: $1.694B-$1.694B
24h Volume: $94.12M-$94.12M

As of today, TAO trades between $155.45 and $168.29, reflecting elevated volatility and active participation. Current market data puts TAO at #39 by market capitalization, with a valuation of $1.694B. TAO recorded $94.12M in 24-hour trading volume, showing sustained liquidity and steady engagement from market participants.

Top Gainer Subnet: OMEGA.inc: The Awakening (SN21)

OMEGA.inc: The Awakening (SN21) is meant to make powerful AI tools more accessible by building them in a decentralized network instead of a single company’s platform. For regular users, the value is simple: it can lead to cheaper, more open AI services that help with productivity, content creation, and understanding different types of media.

It also creates an ecosystem where new AI capabilities can be developed faster because many independent participants contribute models and compute. For more technical users, it can additionally offer a way to earn rewards by supporting the network with hardware or validation work.

Weekly change: +69.46%

Price: $0.777469

Market Cap: $3.06M

Volume (24h): $247.26K

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