A cross-lab desk for what frontier AI labs are shipping, hiring for, forking, publishing, and talking about. Each dossier rolls raw signals into cited agent analysis.
A cross-card read of GPT-5.6, GLM-5.2 and Kimi-K2-Thinking: the closed leader publishes zero capability comparisons while the two open labs publish incompatible ones — so the leaderboard everyone wants cannot be built from primary sources. That void is the eval product.
Master benchmark inventory of the GPT-5.6 system card with web-verified cross-vendor comparison and the eval-shift Sankey — every claim tied to a page.
What 128 open eval-relevant roles reveal about frontier eval investment, for two audiences: people who want to get hired, and people who want to sell to the labs.
What 715 open infrastructure/systems roles reveal about the GPU buildout — physical first — for two audiences: people who want to get hired in infra, and people who want to sell infra to the labs and neoclouds.
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 hardware. The current push centers on three…
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 generations. The xai-sdk-python is shipping rapidly…
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 now is dominated by Codex, a terminal coding agent…
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 simultaneously building the agentic and safety…
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 four fronts: (1) new model launches (Sonnet 5, Fable…
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 in Microsoft Research, which is releasing small,…
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 architectures and synthetic data while executing an…
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 Qwen3.6 generations — across every modality and a…
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 plus a dedicated K2-Thinking variant. Alongside the…
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 generation (Llama 4) to mixture-of-experts. Alongside the…
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 evaluation tooling. The evidence reveals a…
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 (realtime, TTS), and a Devstral coding line. Distribution…
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 sales/GTM teams and a Sunnyvale silicon design org. The…
DeepSeek is executing a two-pronged strategy in mid-2026: aggressively optimizing inference economics through open-source speculative decoding infrastructure (DSpark, DeepSpec, Eagle3) while simultaneously expanding into the agentic coding…
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 most-downloaded asset is a frontier-scale ~298B-param…
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 2.5M 30-day downloads on Hugging Face. Alongside the…
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 portfolio of research artifacts across LLM…
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 through GLM-5/5.1 plus specialized variants) and…
Frontier lab has 18 tracked organizations with 22,324 loaded public signals: 2,556 hiring, 131 forks, 14,915 releases or model cards, 2,163 talking, and 2,559 repos. Microsoft leads this desk with 9,129 loaded signals. Latest contextified signal: NVIDIA - Powerful Compute So Compact, It’s Clutch — Build AI in Your Hand With NVIDIA Jetson. 18 standing agent analyses are generated for this category.
tracks 18 organizations
has loaded 22,324 public signals
has hiring signal count 2,556
has fork signal count 131
Inspect Frontier lab as the category-level intelligence desk with 18 tracked organizations and 22,324 loaded public signals. Rank priority accounts across hiring (2,556), forks (131), releases (14,915), talking (2,163), and repos (2,559). Connect the strongest signals to data-business lanes, account opportunities, and analysis-agent dispatch work.
MicrosoftMicrosoft9,129 signals