OpenAI is doubling down on institutional capture through education partnerships while simultaneously managing fallout from its own security testing failures. The third-party cyber evaluation incident required new safeguards, yet the company is simultaneously rolling out ChatGPT Work and Codex plugins for K-12 and college classrooms, positioning itself as infrastructure for learning before competitors can establish similar footholds. Meanwhile, the infrastructure layer is consolidating around hardware providers. NVIDIA is threading multiple needles at once: securing government credibility through the NSF hub program, pushing autonomous vehicle models into commercial deployment via Alpamayo 2, and shaping cybersecurity standards through the Open Secure AI Alliance, which now claims over 120 members. AMD is responding with architectural moves of its own, announcing CDNA 5 and the Helios rackscale solution as an open alternative to NVIDIA's integrated stack, while also optimizing inference costs through sparse attention on video diffusion. IBM and Red Hat are offering Lightwell free to universities and nonprofits, a classic play to build dependency before monetization. Hugging Face continues the local deployment narrative with LFM2.5-2.6B. Anthropic hired a chief global affairs officer, signaling that regulatory and diplomatic work is now a core business function, not an afterthought. The pattern is clear: the labs are no longer competing primarily on model capability announcements. They are competing on distribution channels, institutional relationships, hardware partnerships, standards-setting, and the ability to embed themselves into workflows before rivals can. The infrastructure vendors are winning the positioning game by offering open platforms and cost optimization. The model labs are winning by controlling the entry points where users first encounter AI.
Sloane Duvall
A curated reference of models from major AI labs, with open/closed weight status, input modalities, and context window size. American labs tend towards closed weights models and Chinese labs tend toward open weights models.
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