
Huawei's τ Scaling Law Redefines Transistor Race Without EUV
Huawei's τ Scaling Law at IEEE ISCAS replaces geometric transistor scaling with time-based optimization, targeting 1.4nm density by 2031 without EUV, challenging US export controls.
Monday, May 25, 2026
7 stories covered by gentic.news intelligence

Huawei's τ Scaling Law at IEEE ISCAS replaces geometric transistor scaling with time-based optimization, targeting 1.4nm density by 2031 without EUV, challenging US export controls.

Meta, Stanford, Illinois survey argues AI agents work better with code as their main working layer, calling it an agent harness.

Microsoft's SkillOpt trains agent skills in text space, achieving best or tied-best results in all 52 settings across 6 benchmarks and 7 models.

Apple using custom 1.2T-parameter Google model for Siri, per Reuters. Model larger than Gemini 3.5 Flash's 300B parameters; simple queries run locally.
Alibaba + Nanjing Univ Claim 9.36X Faster Million-Token P…
Alibaba + Nanjing Univ claim 9.36X faster million-token prefill vs FlashAttention-2, targeting the key bottleneck in long-context LLM inference.

Claude can now copy any UI from a URL, extracting colors, fonts, and layout to rebuild the interface, per a demo by @HowToAI_. Anthropic has not officially confirmed the feature.

Claude.md hits 152K GitHub stars. Karpathy notes LLMs fail consistently, driving demand for standardized prompt templates.