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Meta's upcoming Llama 3.1 models could outperform the current state-of-the-art closed-source LLM model, OpenAI's GPT-4o.OpenAI is planning to develop its own AI chip to optimize performance and potentially supercharge their progress towards AGI.Apple's SlowFast-LLaVA is a new training-free video large language model that captures both detailed spatial semantics and long-range temporal context in video without exceeding the token budget of commonly used LLMs.Google's Conditioned Language Policy (CLP) framework is a general framework that builds on techniques from multi-task training and parameter-efficient finetuning to develop steerable models that can trade-off multiple conflicting objectives at inference time.Contact: [email protected]Timestamps:01:28 LLAMA 405B Performance Leaked03:01 OpenAI Wants Its Own AI Chips04:25 Towards more cooperative AI safety strategies07:35 SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models09:17 AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?10:56 Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning