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🔹 In today’s AI Daily, we cover three notable AI papers and one major TechCrunch story. 🔹 We look at Perplexity’s diffusion-pretrained embedding models and why they matter for retrieval and RAG. 🔹 We also compare Composition-RL and GEPA as two important directions in RLVR, prompt optimization, and reasoning improvement. 🔹 Finally, we break down Poke and its vision for making AI agents feel as simple as texting. 🔹 This is a strong roundup for viewers who want one compact update across embeddings, reinforcement learning, prompt evolution, and AI agents. 🔹 Recommended for anyone tracking fast-moving AI research and product trends. #AI #AIDaily #LLM #EmbeddingModel #Retrieval #RAG #ReinforcementLearning #PromptOptimization #AIAgents #TechNews