
The FT reports Kimi K3 will be the largest open AI model from China, with a parameter count between 2 trillion and 3 trillion.
Chinese AI lab Moonshot is preparing to release its upcoming Kimi K3 model, which is expected to perform at or surpass a leading closed-source competitor's model. The Kimi K3 will be the largest open-weight AI model from China with a parameter count between 2 trillion and 3 trillion parameters. This matters because it reflects a broader industry trend where executives are pitching open-source AI models as cheaper alternatives to expensive closed-source options from major AI labs, partly due to concerns about data security with proprietary systems. Moonshot is also raising fresh capital at a significantly higher valuation than its previous funding round.

This week, OpenAI published details of GPT-Red, an internal-only automated red-teaming model. Its job is to attack OpenAI’s own models and find prompt injection vulnerabilities. OpenAI gives two reasons. Human red-teaming is time-intensive and does not scale. Commonly used robustness evaluations are already saturated by its latest models. Meanwhile, the attack surface grows. Agents read third-party data through browsers, connected apps, local files, and tools. Those affordances are

Strong retrieval performance matters for AI systems that need to find and use information reliably for complex tasks.

Newer AI models continue outperforming older ones, suggesting the performance gap widens rather than plateaus.
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