Latest τemplar (SN3) News Update

Deep Dive

1. Major Developer Exits, Accuses Founder (10 April 2026)

Overview: Sam Dare, founder of major subnet operator Covenant AI, announced his project's exit from Bittensor, accusing founder Jacob Steeves of "decentralization theatre." Dare alleged Steeves exercised unilateral control over subnet emissions and infrastructure. Steeves denied the claims, stating he sold a minimal portion of holdings and lacks unilateral power. The public dispute triggered a market sell-off. What this means: This is bearish for τemplar in the short term because it raises serious questions about the network's governance and decentralization ethos, directly impacting investor confidence in subnets operated by the departing team. The token fell 63% in 24 hours following the news. (The Defiant)

2. Covenant-72B Model Launch Drives Rally (10 March 2026)

Overview: The τemplar subnet completed the largest decentralized LLM pre-training run, launching the Covenant-72B model. This 72-billion-parameter model, trained by over 70 nodes, achieved competitive benchmark scores, proving Bittensor's distributed AI capability. What this means: This was extremely bullish for τemplar because it demonstrated tangible, high-value utility, directly increasing demand for subnet validation and staking. This fundamental breakthrough drove τemplar's price up over 400% in the following month. (BlockBeats)

3. Grayscale Files for TAO Trust (3 April 2026)

Overview: Grayscale filed an S-1 amendment with the SEC for a Bittensor (TAO) Trust. This move aims to create a regulated investment vehicle, improving institutional access to the asset. What this means: This is a neutral-to-bullish long-term development for the entire Bittensor ecosystem, including τemplar. While it doesn't directly affect subnet tokens, it enhances the legitimacy and potential capital inflow for the parent network, which can benefit all connected projects over time. (CoinMarketCap)

Conclusion

τemplar's trajectory is a tale of powerful fundamental innovation clashing with governance growing pains, resulting in extreme price volatility. Will the ecosystem's proven technical utility outweigh the reputational damage from recent internal conflicts?

Deep Dive

1. @Rendoshi1: Historic Decentralized AI Model Achievement bullish

"$TAO achieved something in a year, that many GPU DePIN projects had unsuccessfully been trying for many years. Templar SN3 completed the largest decentralized large language model pre-training run ever recorded. A 72B parameter model comparable with Meta’s Llama 2 70B." – @Rendoshi1 (20.9K followers · 2026-04-09 09:31 UTC) View original post What this means: This is bullish for τemplar because it validates Bittensor's core promise of decentralized, high-performance AI, directly fueling the subnet's utility and demand narrative that drove its 400%+ surge in March.

2. @bittensor_alert: Large On-Chain Alpha Token Purchases bullish

"🚀 #Subnet Buy Alert! Someone just bought Alpha tokens on τemplar / SN 3 for 933.1 $TAO ($309,603)" – @bittensor_alert (8.6K followers · 2026-04-09 23:05 UTC) View original post What this means: This is bullish for τemplar as it shows continued high-conviction capital flowing into the subnet's ecosystem, providing liquidity and signaling confidence in its value accrual mechanisms despite recent volatility.

3. @TheDefiant: Developer Exit Sparks Centralization Concerns bearish

"τemplar (SN3) is down 63% in 24 hours after a prior 400% surge... after Sam Dare, founder of major subnet operator Covenant AI, announced the project's exit from Bittensor. Dare accused Bittensor founder Jacob Steeves of 'decentralization theatre.'" – The Defiant (2026-04-10 14:50 UTC) View original post What this means: This is bearish for τemplar because it challenges the network's foundational decentralization premise, creates uncertainty around the future of the flagship Covenant-72B model, and has triggered severe selling pressure and liquidations.

Conclusion

The consensus on τemplar is mixed, caught between proven technological triumph and sudden governance crisis. The euphoria from its record-breaking AI training run is now tempered by serious questions about the project's decentralization and team stability following a public fallout. Watch the subnet's emissions and validator activity closely for signs of recovery or further deterioration post-controversy.

Deep Dive

1. Transition to New Team & Governance (Q2 2026)

Overview: The founding team, Covenant AI, exited Bittensor on April 9-10, 2026, leaving Subnet 3 (τemplar) without an owner and its emissions stalled (Oliwier). In response, Bittensor founder Const has proposed transitioning SN3 to a new, experienced team. A key part of this proposal is a lock-based subnet ownership system, requiring owners to lock alpha/TAO tokens for set periods with visible unlock schedules. This aims to prevent sudden exits and allow investors to anticipate changes.

What this means: This is neutral-to-bullish for τemplar because it addresses a critical single-point-of-failure risk, potentially making the subnet more resilient and attractive to long-term capital. However, the bearish risk is that the transition period creates uncertainty, and finding a competent new team could take time, delaying a return to normal emissions and utility.

2. Launch of Templar: Crusades Competition (Coming Soon)

Overview: Before the exit, the project announced "Templar: Crusades," a new competition system detailed in the project's GitHub README. In this framework, participants submit training code, which is then evaluated on target hardware. The fastest and most efficient implementation earns the subnet's emissions. This is designed to follow the completion of the Covenant-72B model training run in March 2026.

What this means: This is bullish for τemplar because it would reactivate the subnet's core utility and incentive mechanism, driving renewed participation from miners and validators. It represents a pivot from pre-training to optimization competitions. The key dependency is the successful onboarding of a new team to launch and manage this system.

Conclusion

τemplar's path forward hinges on a successful governance transition to reactivate the subnet through its planned Crusades competition framework. How quickly can the Bittensor community identify and empower a new team to execute this vision?

Deep Dive

1. Last Code Release (26 January 2025)

Overview: The last documented update to the τemplar repository was a minor version release over a year ago. It focused on internal tooling for miners rather than user-facing features.

The update to version 0.2.13 introduced "gradient analysis" and "similarities" features, which are likely analytical tools for miners to optimize their machine learning models. It also patched a bug related to missing gradient logic and performed routine maintenance tasks like renaming components and updating type checks. This suggests development was focused on stabilizing and improving the backend infrastructure for network participants.

What this means: This is neutral for τemplar (SN3) because the update was minor and occurred long ago. It shows foundational work was being done, but the long gap since the last commit indicates public development activity has been quiet, with focus likely shifting to network operations. (tplr-ai/templar)

2. Historic Model Training (10 March 2026)

Overview: While not a codebase update, the subnet's major achievement was the live, on-chain deployment of the Covenant-72B large language model. This proved the network's core utility.

The τemplar team completed the pre-training of Covenant-72B, a 72-billion-parameter AI model. It was trained on over 1.1 trillion tokens across more than 70 globally distributed nodes using commodity hardware, without a centralized data center. The model achieved a competitive score of 67.1 on the MMLU benchmark, demonstrating that Bittensor's decentralized approach can rival centralized AI labs.

What this means: This is extremely bullish for τemplar (SN3) because it validates the entire subnet's purpose. The successful deployment of a state-of-the-art model creates real utility, drives demand for TAO staking to secure the network, and directly fueled a 194% price rally for the SN3 token in March. (CoinMarketCap)

Conclusion

τemplar's development trajectory has pivoted from frequent code commits to demonstrating massive, real-world utility through its decentralized AI network. The historic training of Covenant-72B has become its defining achievement, shifting the value proposition from development activity to proven operational scale. Will the next phase focus on optimizing this live model or expanding to new AI tasks?