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arXiv — cs.AIMedHopQA benchmark tests LLM reasoning in biomedical Q&A◆arXiv — cs.CLRouters learn geometry of sparse mixture-of-experts◆arXiv — cs.AIStudy audits how LLMs generate political discourse during crises◆arXiv — cs.AIClassifier Context Rot: Monitor Performance Degrades with Context◆arXiv — cs.AIExecutable Agentic Memory for GUI Agent◆arXiv — cs.CLLongMemEval-V2: Evaluating Long-Term Agent Memory Toward Experienced◆arXiv — cs.AISparse-to-dense rewards improve language model post-training◆arXiv — cs.AIAI-native mobility dataset advances 6G handover and beam management◆arXiv — cs.AIMedHopQA benchmark tests LLM reasoning in biomedical Q&A◆arXiv — cs.CLRouters learn geometry of sparse mixture-of-experts◆arXiv — cs.AIStudy audits how LLMs generate political discourse during crises◆arXiv — cs.AIClassifier Context Rot: Monitor Performance Degrades with Context◆arXiv — cs.AIExecutable Agentic Memory for GUI Agent◆arXiv — cs.CLLongMemEval-V2: Evaluating Long-Term Agent Memory Toward Experienced◆arXiv — cs.AISparse-to-dense rewards improve language model post-training◆arXiv — cs.AIAI-native mobility dataset advances 6G handover and beam management◆
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Thinking Machines Lab ships its first model and argues interactivity is what OpenAI gets wrong about voice

yesterday · · primary fetch1 sourcecluster b7a2e8c1updated yesterday ·

Mira Murati's start-up presents its first AI model and aims to free voice AI from the question-and-answer model. The model processes audio, video and text in 200-millisecond chunks in parallel and aims to beat OpenAI's GPT Realtime 2 and Google's Gemini Live in terms of interaction quality.

The article Thinking Machines Lab ships its first model and argues interactivity is what OpenAI gets wrong about voice appeared first on The Decoder.

read full article on the-decoder.com ↗
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  1. the-decoder.comThinking Machines Lab ships its first model and argues interactivity is what OpenAI gets wrong about voiceprimary