Covenant AI’s TGIF Recap: Templar Pushes Bigger Training, While Grail Breaks the RL Bandwidth Wall

Covenant AI’s latest TGIF session covered major progress across its three core efforts: Templar, Basilica, and Grail. The session’s overall takeaway was that decentralized AI training is moving faster than most people expected, and the team is actively redesigning incentive systems to keep miners innovating. Watch the full episode here: Templar: Bigger Model Training, But…

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Full Recap of Chutes’ NS: Generating $1.3M in Revenue and Challenging OpenAI with Privacy & Efficiency

Chutes (Subnet 64 on Bittensor) just released a major update showing they’re not just another crypto project, and they’re generating real revenue and building products people actually use. In their recent Novelty Search (NS) presentation, the team revealed they made over $1.3 million in the last 90 days. They’re now consistently hitting $9,000 to $20,000…

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Covenant AI’s PULSE: Making Decentralized RL for LLMs as Fast as Centralized Training

Covenant AI just released PULSE (Patch Updates via Lossless Sparse Encoding), a technique that slashes bandwidth for weight synchronization in decentralized reinforcement learning (RL) by 100×+, while staying completely lossless (bit-identical reconstruction, SHA-256 verified on every sync). The biggest bottleneck in decentralized RL: training can happen on fast interconnects, but inference nodes are spread globally…

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Anyone Can Join Fun Competitions and Earn as Miner on Apex (SN1)

Subnet 1 (SN1) Apex is part of the Macrocosmos ecosystem, focused on game-theoretic AI and open-ended intelligence. Instead of a single mining task, SN1 runs multiple live competitions where miners compete by submitting algorithms or models. Each competition has its own incentive pool, meaning miners can specialize in different problem areas while emissions are distributed…

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Gavin Zaentz & Pranav Ramesh: Leadpoet (SN71), Lead Generation, Intent-Driven Sales Automation | Ep. 79

The lead generation industry has a reputation problem. Sales teams pay thousands of dollars for databases filled with outdated contacts, bounced emails, and leads with little to no buying intent. Despite flashy dashboards, most incumbent providers struggle with the same core issue: stale, low-quality data. In a conversation with Ventura Labs (see below), Pranav and…

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