Enterprise AI agents today face a fundamental timing problem: They can't easily act on critical business events because they aren't always aware of them in real-time.The challenge is infrast [...]
Voice agents have been expensive to run and painful to orchestrate, not because the models can't handle conversation, but because context ceilings forced enterprises to build session resets, stat [...]
Meta is entering the increasingly competitive real-time speech-to-text market with Muse Voice Transcribe, a new audio perception model that combines streaming transcription, endpoint detection and spe [...]
Voice AI is moving faster than the tools we use to measure it. Every major AI lab — OpenAI, Google DeepMind, Anthropic, xAI — is racing to ship voice models capable of natural, real-time conversat [...]
For the past year, enterprise decision-makers have faced a rigid architectural trade-off in voice AI: adopt a "Native" speech-to-speech (S2S) model for speed and emotional fidelity, or stick [...]
Mistral AI, the Paris-based startup positioning itself as Europe's answer to OpenAI, released a pair of speech-to-text models on Wednesday that the company says can transcribe audio faster, more [...]
Is AI leaving the era of "turn-based" chat?Right now, all of us who use AI models regularly for work or in our personal lives know that the basic interaction mode across text, imagery, audio [...]