Frontier lab fork signals

NVIDIA is positioning itself as the full-stack supplier of the "AI factory" era — selling not just silicon but open models, agent runtimes, and physical-AI foundation models that run on its…

Cohere is transitioning from a research-forward multilingual lab into a security-first enterprise platform company. The evidence shows a lab simultaneously pushing research on MoE…

Anthropic is transitioning from a model-research lab into a vertically integrated AI product company with global commercial ambitions. The evidence shows simultaneous acceleration across…

Microsoft's public footprint is dominated by its developer-tools and platform empire — vscode (186k stars), PowerToys, TypeScript, terminal, and playwright — but the AI-specific signal sits…

Mistral AI is executing a broad open-weights strategy across every modality and size tier at once: text instruct/reasoning models from 3B up to 128B, a Voxtral audio/speech family…

OpenAI is operating on two fronts at once: a frontier-model release cadence aimed at consumers and developers, and a hard pivot into agentic developer tooling. Its public footprint right…

Thesis: Baidu is on a dual track — shipping competitive frontier models (ERNIE 5.1 at claimed 6% training cost of peers, Unlimited-OCR, NAVA) while aggressively building US enterprise…

Qwen (Alibaba Cloud) is running one of the most prolific open-weight release cadences in the field, shipping a full ladder of dense and Mixture-of-Experts models — currently the Qwen3.5 and…

ByteDance Seed is executing a deliberate multi-frontier strategy: shipping production models through Volcano Engine (Doubao 2.1 Pro, Seedance 2.5) while simultaneously open-sourcing a broad…

Tencent Hunyuan is running broad on open-weight generative media — its public footprint skews heavily toward 3D, video, image, and world-model generation rather than chat LLMs. The…

MiniMax is shipping fast-iterating, open-weight large language models — the MiniMax-M2 family dominates its current footprint, with the latest MiniMax-M2.7 (~229B params) already pulling…

Amazon is building a vertically integrated AI stack that runs from custom silicon and formally verified cloud infrastructure through foundation models, agent frameworks, and domain-specific…

DeepSeek is executing a two-pronged strategy in mid-2026: aggressively optimizing inference economics through open-source speculative decoding infrastructure (DSpark, DeepSpec, Eagle3)…

Google DeepMind is executing a two-track strategy: shipping a rapid cadence of open-weight Gemma 4 models (Gemma 4 12B, DiffusionGemma, quantization-aware training variants) while…

Meta AI is the open-weight anchor of the frontier-model field: it ships the Llama family under permissive licenses and lets the ecosystem do distribution, while pivoting its newest…

Moonshot AI (Kimi) is shipping open-weight, trillion-parameter mixture-of-experts frontier models at a fast iteration cadence — the Kimi-K2 line is its flagship, now through K2.5 and K2.6…

xAI is in a productize-and-distribute phase: its frontier work (Grok) lives behind the API while the public footprint is dominated by developer tooling and open-weight artifacts of prior…

Zhipu AI (GLM) is shipping a broad, fast-moving family of open-weight GLM models across text, vision, OCR, speech, and image generation, releasing point versions at high cadence (GLM-4.5…