Why Mixture-of-Experts Is the Architecture That Won 2025
A technical breakdown of why MoE displaced dense transformers as the default architecture at scale.
A landmark paper from Google DeepMind introduces "Prometheus-7B," a model trained exclusively on structured scientific literature that outperforms PhD-level humans on chemistry and physics problem sets never seen during training.
Sources close to the company confirm the new architecture handles book-length inputs natively, with near-zero degradation at the 8M token range.
Figure 03 ran an 8-hour manufacturing shift at a BMW partner facility with zero human interventions, marking a milestone for embodied AI reliability.
The first wave of compliance deadlines hit today. High-risk AI system operators face audits, and the fines for non-compliance are not theoretical.
A Stanford-MIT collaboration tested 14 frontier models against 200 board-certified radiologists on rare pathology identification. Three models came out ahead.
Supply chain sources confirm early shipments to Microsoft and Google. The GB300 delivers 2.4x the FP8 throughput of its predecessor at comparable power draw.
After months of restricted licensing controversy, Meta quietly published LLaMA 4 405B under a fully permissive license. The community is already fine-tuning.
A technical breakdown of why MoE displaced dense transformers as the default architecture at scale.
Benchmarks are broken. Researchers are arguing. Here's what the frontier actually looks like from the inside.
Sovereign wealth funds, hyperscalers, and defense contractors — the funding landscape has shifted dramatically.