The labs are converging on agentic systems as the next commercial battleground, but from different angles that reflect their market positions. OpenAI is hardening Codex for Windows sandboxes and patching supply chain vulnerabilities, practical infrastructure work that signals real deployment concerns, not theoretical ones. NVIDIA is stacking partnerships with specialized labs like Ineffable Intelligence while promoting open source frameworks like Hermes Agent as the foundation layer, a move that positions the chip maker as infrastructure provider to whoever wins the agent wars. Anthropic is packaging Claude for small business, a distribution play that suggests the company sees agents as table stakes for horizontal adoption rather than a differentiated capability. The collective signal is clear: agents are moving from research artifacts to production systems, which means the competitive advantage lies not in publishing benchmarks but in who builds the sandbox, secures the supply chain, owns the training infrastructure, and reaches the customer first. OpenAI's focus on Windows security and NVIDIA's infrastructure partnerships suggest they're betting on complexity and control; Anthropic is betting on simplicity and reach. Tomorrow's Microsoft Build will test whether that calculus holds.
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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