Ten AI influencers who are actually shaping 2026, from safe superintelligence to AI-native search. Here is who to follow and why.
Tag: AI
Second-Order Muon Done Right: A Principled Marriage of Spectral Geometry and Curvature
arXiv:2608.09763v1 Announce Type: new Abstract: Muon’s polar update is exact for an unweighted spectral geometry. We introduce GO-MUON, which uses a…
Avalon-ToM-Bench: Evaluating Fine-Grained Theory of Mind via Asymmetric Game Mechanics
arXiv:2608.09638v1 Announce Type: new Abstract: Theory of Mind (ToM) is essential for agent interactions, yet existing evaluations either rely on static…
Hallucination-Free GUI Grounding via Regression-Free Layout-Aware Matching
arXiv:2608.09654v1 Announce Type: new Abstract: GUI agents are shifting from metadata-dependent large language models to purely visual multimodal large…
Open Evaluation Agent: Efficient and Promptable Evaluation of Visual Generative Models
arXiv:2608.09666v1 Announce Type: new Abstract: Recent advances in visual generative models have enabled high-quality image and video generation, but…
Discovered Materials is playing AI whack-a-mole to hunt cooler chips
Discovered Materials raised $9 million to fund the hunt for more novel materials to build more efficient chips.
Rethinking Self-Evolving Agents: Do We Still Need Prescribed Optimization Pipelines?
arXiv:2608.09629v1 Announce Type: new Abstract: Self-evolving agents are usually built around prescribed optimization pipelines: the framework decides how…
NVIDIA Lays Out the Case for AI Factories as an Investable Asset Class
NVIDIA published a detailed case on August 12, 2026 for treating its AI factory compute as an investable infrastructure asset class, two days after…
Adaptive Semantic Capacity Allocation for Parallel Generative Recommendation
arXiv:2608.09685v1 Announce Type: new Abstract: Autoregressive semantic ID recommenders are constrained by expensive beam-search decoding, which limits…
From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization
arXiv:2608.09595v1 Announce Type: new Abstract: Compressing large language models to two bits or fewer is increasingly feasible through block-wise…