Cutting-edge research, model releases, and the business of AI.
Vision-language models, audio-text fusion, and unified multimodal architectures are collapsing the boundaries between modalities. Here's what that means in practice.
Inference costs for frontier models have dropped 99% in two years. This isn't just an economic story — it's a product design story.
Two dominant approaches for adapting foundation models to enterprise use cases. We break down when to use each, how to combine them, and the hidden costs decision-makers miss.
The EU AI Act is in force, the US approach is evolving, and India is drafting its framework. A clear map of where global AI governance stands and what it means for builders.
What embeddings actually are, why vector similarity search is so powerful, and how to choose and architect a vector database for production workloads. No fluff.
The open-weight model ecosystem has matured dramatically. Here's which models are genuinely competitive with frontier proprietary models and what that means for enterprise strategy.
Hallucination is the failure mode everyone knows about and few teams have systematic strategies for. Here's what the research says and what practitioners have learned works in production.
The observation that model capability scales predictably with compute, data, and parameters has been one of AI's most consequential discoveries.
From diagnostic imaging to drug discovery to clinical documentation, AI is making real inroads in healthcare. Here's an honest assessment of what's working.
