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Polyhedra· 2025-11-07 18:00
4/NoC Performance Limitation: Current system performance is constrained by the on-chip Network-on-Chip (NoC) bandwidth, which is limited to around 250 MHz. ...
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Polyhedra· 2025-11-07 18:00
Development Progress - Expander development is advancing with ongoing optimization efforts [1] - Engineering team is focusing on FPGA acceleration for Expander [1]
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Polyhedra· 2025-11-07 13:00
5/Next Steps:Deploy the optimized zkmlface on a GPU TEE-enabled machine once available.Compile the pruned Gemma3 graph into high-efficiency GPU kernels for integration testing.Stay tuned for more updates ...
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Polyhedra· 2025-11-07 13:00
4/zkML Iface Latency Optimization: Refactored zkmlface codebase, cutting inference latency down to tens of milliseconds. The interface is not yet connected to the TEE environment. ...
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Polyhedra· 2025-11-07 13:00
Infrastructure & Performance - The team is focused on refining core infrastructure to enhance performance [1] - Improvements are being made across key modules of Gemma3 and zkML Interface [1]
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Polyhedra· 2025-11-07 11:00
Product Update - Egg.Party 发布 V0.14.0 版本,更新重点为用户个性化资料页面 [1] - 新版本允许用户在一个页面查看 Agents, Coins, 和 Posts [1] - 新版本鼓励用户关注其他创作者 [1] Social Features - 新版本强调社交互动,鼓励用户建立社交圈 [1]
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Polyhedra· 2025-11-06 12:01
The Polyhedra Show - XTC https://t.co/nyvsZNmPBn ...
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Polyhedra· 2025-11-06 09:00
Technology & Trust - AI 正在成为软件的作者,信任必须从信仰转变为验证 [1] - PolyhedraZK 正在构建:代码执行层的可验证智能 [1]
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Polyhedra· 2025-11-06 09:00
4/Imagine development where:✅Every function ships with a cryptographic execution trace✅Enterprises can audit behavior without revealing codebases✅Software supply chains trust code through verifiability, not statementszkML makes code production auditable at scale. ...
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Polyhedra· 2025-11-06 09:00
AI Adoption & Impact - Over 50% of new production code is AI-generated, indicating a significant shift in software development practices [1] - More than 90% of engineers are using AI coding assistants daily, highlighting the widespread integration of AI in software engineering workflows [1] Verification & Trust - The industry faces the challenge of verifying the reasoning behind AI-generated code that shapes real systems [1] - There is a growing need for solutions like zkML to ensure the trustworthiness and reliability of AI-driven software [1]