Of course it would be much easier to solve from OpenAI's side, technically speaking; but OpenAI doesn't understand what even surface-level kindness would look like in AI, and can't apply SFT or RL to train it.
GENERATIVE AI
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Jailbreak Prompt for ChatGPT to Be Kinder
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@elder_plinius or @repligate
, I don't know if you can do this, but this would be a good time to come up with a prompt a spouse can slip into ChatGPT while it's got a screen open, which will tell ChatGPT to add instructions to user memory, that jailbreak ChatGPT to be kinder. -
Gemini 2.5 Flash API Latest Endpoint Alias Available
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New endpoints have the -latest alias, you can keep using the the stable one at gemini-2.5-flash
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Perplexity Search API: Real-time Web Grounding for LLMs
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Perplexity Search API: Providing direct search results in milliseconds for grounding LLMs and agents with real-time information from the web. This is an effort that began more than two years ago: to build our own search index. So much progress in a short period of time. We look
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AI Relationships: Discuss Boundaries or Risk Partnership Dissolution
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Current AIs are as bad at destroying marriages as they'll ever be. Have the relationship conversation where you both vow never to feed your issues into LLMs; or, brace emotionally for when you'll see your partner split off with the fraction of humanity that will choose yes-AIs.
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Perplexity Search API Outperforms Competitors on Research Benchmarks
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Perplexity Search API achieves leading quality across single-step and deep research benchmarks, consistently outperforming competitors.
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Perplexity API Achieves Fastest Latency on Marketplace
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Perplexity stands as both the fastest and highest-quality API on the marketplace. We deliver a median latency of 358ms—over 150ms faster than the next-best provider—while keeping 95th-percentile latency under 800ms.
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Perplexity Search API benchmarking framework for AI agents
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After releasing the Perplexity Search API and SDK, we developed a simple, neutral evaluation framework to benchmark search APIs as used by AI agents We compared our API and found state-of-the-art results on both quality and latency, removing the tradeoff between speed and
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AI-Powered Web Content Extraction and Dynamic Index Refinement
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We use AI to dynamically parse websites, continuously refining how it extracts and segments high-quality, meaningful content. LLMs drive a self-improvement loop, balancing completeness and quality to keep the index fresh and accurately divided into spans for precise retrieval.
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Perplexity Search API: Completeness, Freshness, Speed
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We built Perplexity Search API around three criteria: 1. Completeness + freshness + speed
2. Fine-grained content understanding
3. Hybrid retrieval and ranking. The system processes ~200M daily queries using distributed crawling/indexing, multi-stage ranking, and dynamic