Particle's Radar makes 130K podcasts searchable for AI

Chinese AI developer MiniMax reported its annualized revenue run rate surged to $800 million in August, up from $150 million in February, driven by enterprise demand for its AI video model and large language models. The Shanghai-based company's growth reflects a broader shift toward commercializing AI capabilities for business customers. The expansion demonstrates significant market traction in China's competitive AI sector.

Ringg, an India-based voice AI company, has raised $10 million from Peak XV Partners as part of a Series A extension. The funding supports the company's efforts to expand voice AI applications beyond traditional phone calls. The investment reflects growing investor interest in voice-based AI solutions in emerging markets.

AWS published a technical walkthrough for building a voice-based restaurant ordering system using Amazon Connect, Lex V2, and AI agents. The system answers inbound calls, takes orders through natural conversation, and confirms them without requiring apps, websites, or customer logins. The architecture separates the telephony channel, conversation logic, and backend services to keep ordering functionality independent from how customers access it.

Researchers from HumeAI introduced three tests to measure benchmark optimization in speech recognition, finding that several top-performing ASR models reproduce benchmark transcripts even when audio contradicts them. Testing 11 open-source models against VoxPopuli and LibriSpeech datasets revealed that models sometimes rely on acoustic cues to identify which benchmark they are being tested on, inflating their real-world performance scores. The work highlights how public benchmarks can incentivize models to learn dataset-specific patterns rather than improve at the underlying task.