OpenAI Blog
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By Ryan Lopopolo, Member of the Technical Staff
[AINews] Lilian Weng summarizes 35 papers on Harness Engineering for RSI
Latent Space · 1 week ago
Moving from intent-based bots to proactive AI agents
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Datadog uses Codex for system-level code review
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Advancing red teaming with people and AI
OpenAI Blog · 1 year ago
How engineers at Nextdoor use Codex to build without limits
OpenAI Blog · 1 month ago
The daily briefing
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TLDRocket
21 July 2026
The open-weight AI model market hit an inflection point today as Alibaba and Kimi released trillion-parameter competitors that challenge the closed-model orthodoxy—just as Washington moved to restrict them. Alibaba's Qwen 3.8 Max (2.4 trillion parameters) and Kimi K3 (2.8T) are going open-weight, with K3 ranking first on Frontend Web App Arena and fourth on agentic benchmarks, signaling that scale and transparency can coexist. The timing matters: while U.S. policymakers weigh layered restrictions on Chinese open models, technical experts are pushing back hard, arguing that closed gardens actually hurt security and competition more than they help. The real fragmentation risk isn't technical—it's regulatory.
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