A data-driven comparison of Alibaba's Qwen3.5-35B-A3B and NVIDIA's Nemotron 3 Nano 30B-A3B - two ~30B MoE models activating ~3B parameters that take fundamentally different architectural approaches to the same problem.
New papers show chatbot sycophancy causes delusional spiraling even in rational users, AI data analysts produce wildly different conclusions from the same dataset, and test-time scaling fails for general-purpose agents.
Google's Gemini 3 Deep Think trades speed for depth, delivering record-breaking reasoning benchmarks - but at a steep price.
Alibaba's Qwen team releases Qwen3.5-397B-A17B, an open-weight mixture-of-experts model with native multimodal support and a hybrid attention architecture that runs 8x faster than its predecessor. Apache 2.0 licensed.
Google releases Gemini 3.1 Pro with 77.1% on ARC-AGI-2, more than doubling the reasoning capability of its predecessor and beating Claude Opus 4.6 and GPT-5.2 on most benchmarks.
A new benchmark of 84 real-world tasks across 11 domains proves that small AI models armed with human-written step-by-step guides outperform frontier models running blind. The catch: models cannot write these guides themselves.
