Private AI: Small Models Offer Potential Solutions, Lowering Encryption Barriers
According to Bankless, the challenge of achieving private AI through fully homomorphic encryption may be addressed by utilizing smaller models. The report suggests that the requirements for "good enough" solutions have decreased, potentially opening new avenues for developing private AI applications. The development focuses on overcoming the limitations of fully homomorphic encryption at a frontier scale, hinting at alternative approaches that could make private AI more accessible in the near term.
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