Product & Technology - Early stage zkML product is being tested [1]

AI Development & Future - The future of AI is verifiable, indicating a focus on transparency and trust in AI systems [1] - zkGPT prototype and repository are coming soon, suggesting rapid development and open-source initiatives in the AI field [1] - Integration with zkPyTorch is planned, highlighting the importance of compatibility and collaboration within the AI ecosystem [1] - zkML-as-a-service is on the horizon, pointing towards the commercialization and accessibility of AI technologies [1]

Performance Improvement - CUDA 13.0 compatibility fix for Fiat-Shamir [1] - Shared memory optimization achieves 1 TB/s bandwidth [1] - Achieved 9,000 zk proofs/sec on m31ext3 [1] - GPU acceleration for MSM on KZG commitments [1]

Development Progress - Expander merged Ethereum Foundation PR to fix MPI bugs in macOS 15 build [1] - Expander enabled Sumcheck protocol for variable-length polynomials [1] - Expander progressed on Docker service module for zkML (zero-knowledge machine learning) [1]

Technology Advancement - zkML updates aim for faster proving processes [1] - zkML updates target lighter computational requirements [1] - zkML updates emphasize easier deployment, even on personal devices [1]

Performance Improvements - Improved shared memory across multi-threaded processes [1] - Flexible SIMD config for better parallelism [1] - Refined PCS interface and efficient multi-claim merging [1] - Setup, proving, and verification are now cleanly separated [1] Resource Optimization - Lower memory footprint for zkML, for example, VGG requires less than 8GB [1] - Fine-grained CPU resource control and deterministic proofs [1]

Product Update - A major update to Expander, a proving backend, has been released [1] - Expander is built for performance, flexibility, and real-world zkML use [1]