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This explainer explains Time to First Token (TTFT), a critical metric for measuring AI response speed in voice and real-time agents. Learn why fast AI responses matter for user experience.
This article explains the advanced AI concept of in-situ learning, where robots can learn and adapt in real-time while operating in their environment, enabling them to use novel objects as tools without pre-programmed instructions.
This explainer explores the advanced AI technologies behind real-time meeting notetaking systems, examining the complex integration of speech recognition, natural language processing, and automated summarization that enables modern workplace AI tools.
Gradium has launched two new real-time speech translation models, stt-translate and s2s-translate, that outperform existing solutions like gpt-realtime-translate in both accuracy and latency.
Decart has raised $300 million in funding led by Radical Ventures to advance real-time world models using Amazon’s chips.
OpenAI has released three new voice models—GPT-Realtime-2, GPT-Realtime-Translate, and GPT-Realtime-Whisper—that bring GPT-5-level reasoning to real-time conversations and support multilingual translation and live speech transcription.
Bytedance's Helios model achieves 19.5 FPS video generation on a single GPU, marking a major step toward real-time AI video creation.
