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Google's Gemini 4 posts strong benchmark results, but internal employees report the model struggles with real-world coding tasks and practical work, raising concerns it may lag behind Anthropic and OpenAI's next-gen releases.
Discusses the common gap between clean benchmark-style testing environments and messy real-world usage in AI workflows, leading to production failures, and mentions evaluation platforms like Confident AI, Braintrust, and Langfuse.