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]

https://t.co/uyUXq0ipDLEgg.Party (@EggDotParty):Every egg has layers.This one just happens to be an economy. 🥚Creation → Assetization → Social Liquidity → Value Flow.All in one place.https://t.co/6PFIukyHcp https://t.co/CYO8e0fQwD ...

5/Industrial AI will govern supply chains, infrastructure, and physical outputs.It needs verification at the decision layer — not trust in the black box.That’s what @PolyhedraZK is building: zkML as the verification layer for autonomous systems. ...

4/Imagine manufacturing where:✅Every optimization step includes a cryptographic execution trace.✅Compliance can be confirmed without inspecting internal process models.✅ Supply chains coordinate using shared proofs.zkML turns automation into auditable coordination. ...

Why zkML? Because @nvidia and @Samsung are building an AI megafactory — 50,000+ GPUs coordinating chip production, robotics, and industrial workflows.When factories begin reasoning, not just executing, the key question becomes:How do we verify the decisions machines make? https://t.co/FiD1vs532R ...

This week in AI:• OpenAI expands into India — ChatGPT Go goes free.• Reddit sues Perplexity for scraping training data.• Tencent reveals half its code is now AI-generated.• Researchers build chips that compute with light.Every headline points to one truth:we’re scaling faster than we can verify.On this week’s XTC Show, TC joined @Tony0kai to talk about what comes next — the invisible infrastructure that keeps AI verifiable and trustworthy.Enter Expander — Polyhedra’s cryptographic acceleration layer that bo ...

Join @Tony0kAI alongside @Tiancheng_Xie and @sampearton for a week of live shows and fun.Verified community members engaging will win USDT. Make sure to join our Discord to be eligible for rewardshttps://t.co/uGLwFzaD5p https://t.co/e04SnT3QpY ...

4/Next Integration Phase: Began integrating the optimized FPGA LinearGKR modules into the full GKR proof pipeline, preparing for end-to-end hardware verification and unified GPU–FPGA co-design testing.Stay tuned for more updates. ...

3/LinearGKR Hardware Refinement: Enhanced the dual-phase prepare operator by introducing fine-grained pipeline segmentation and memory reuse between the two stages. This reduced BRAM utilization by over 20% while maintaining full concurrency. ...

We’re keeping the momentum strong! This week, the dev team has been working behind the scenes on GPU and FPGA acceleration for Expander. https://t.co/6cTHssW3E6 ...