Perplexity AI News Research
User asked for research on perplexity about the latest daily AI news (Claude, OpenAI). Collected tasks: - Summarize what 'perplexity' measures in language models. - Discuss limitations of perplexity for news/real-time evaluation. - Propose additional metrics and methods for assessing model behavior on daily AI news (hallucination rate, factuality, model drift, robustness, safety signals). - Suggest experimental setups and datasets to measure these metrics in practice (time-stamped news corpus, human eval, claim verification, calibration tests). - Provide quick tooling pointers (fact-check APIs, embedding search, model eval frameworks). - Deliver in concise bullet points and recommended next steps. Output type: research brief for tech-savvy audience.
