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Model: "qwen-2.5-omni-7b"
OpenAI adopts MCP
gemini-2.5-pro gemini-1.5-pro gemini-2.0-flash qwen-2.5-omni-7b deepseek-v3-0324 deepseek-r1 openai google-deepmind alibaba togethercompute model-benchmarking multimodality reasoning scaling-laws model-quantization synthetic-data model-performance context-windows speech-recognition translation audio-processing video-processing swyx
OpenAI announced support for MCP, a significant technical update. Google's Gemini 2.5 Pro leads benchmarks with top scores in MMLU-Pro (86%), GPQA Diamond (83%), and AIME 2024 (88%), featuring a 1 million token context window and multimodal inputs. Alibaba's Qwen 2.5 Omni 7B was released as a fully multimodal, interactive, open-source model with a novel "thinker-talker" architecture supporting voice and video chat. DeepSeek V3-0324 outperforms its predecessor on multiple benchmarks. Research on reasoning features in large language models using sparse autoencoders was highlighted, alongside a study on scaling laws of synthetic data showing performance plateaus near 300B tokens. Discussions also covered the fastest output speeds of Gemini models and concerns about over-reliance on benchmarks for intelligence measurement. Swyx will curate the Data Council AI Engineering Track in April.