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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Together AI and Pearl Research Labs Team Up to Reduce the Cost of AI Inference

    Together AI has partnered with Pearl Research Labs to integrate blockchain technology into AI inference costs. This collaboration introduces a new inference endpoint for the Gemma-4-31B-it-pearl model, offering a discount of over 25% by offsetting costs with cryptocurrency emissions from the Pearl Network. The Pearl Network uses a Proof of Useful Work mechanism, where GPU computations for AI tasks simultaneously generate a cryptocurrency called PRL, aiming to fundamentally alter the economics of AI by reducing the price per token. AI

    IMPACT This partnership aims to reduce AI inference costs by integrating cryptocurrency generation, potentially impacting the unit economics for AI operators.

  2. Introducing Gemma-4-31B-it-Pearl on Together AI, Pearl Research Labs’ instruction-tuned checkpoint of Gemma 4 31B powered by @prlnet Proof of Useful Work protoc

    Together AI has released Gemma-4-31B-it-Pearl, an instruction-tuned model based on Gemma 4 31B. This model integrates the Pearl Network's Proof of Useful Work protocol, which generates proofs from existing matrix multiplications during training and inference. Users can access this model via a serverless inference endpoint on Together AI, with a discount on costs. AI

    Introducing Gemma-4-31B-it-Pearl on Together AI, Pearl Research Labs’ instruction-tuned checkpoint of Gemma 4 31B powered by @prlnet Proof of Useful Work protoc

    IMPACT Provides a new inference endpoint for a specialized model, potentially lowering costs through its Proof of Useful Work mechanism.