Voice AI can be a powerful tool for democracy. With major elections coming up, our latest blog sets out how we’re using our technology to strengthen and protect the democratic process.

SpaceXAI just launched Grok Voice Think Fast 2.0 - its most capable speech-to-speech model yet The numbers are so impressive: • 82.9% overall Speech-to-Speech Quality Index • 97.2% on speech reasoning • 56.5% on agentic voice tasks • Just 0.70 seconds to first audio • Uses only 0.4× the reasoning tokens of Think Fast 1.0 Grok Voice Think Fast 2.0 now ranks ahead of GPT-Realtime-2.1 and Gemini 3.1 Flash on overall speech-to-speech benchmarks But the biggest improvement is real-world listening Across thousands of short phrases in 24 languages, it delivers 1.5–2× better transcription accuracy than Deepgram Nova 3 and ElevenLabs Scribe v2 In noisy environments and compressed phone calls, that advantage grows to around 10× It can also reason while speaking, allowing tool calls to begin before it even finishes its first sentence.....with no added latency Conversations now feel much more natural: • Shorter responses • One question at a time • Less filler • More fluid dialogue • Better guidance through complex tasks SpaceXAI has already deployed it on Starlink's phone line and saw significant increases in both sales conversion and customer support containment Grok Voice Think Fast 2.0 becomes the default grok-voice-latest model on August 5 Pricing: $0.08 per minute of audio Voice AI is rapidly evolving from scripted assistants into intelligent agents that can listen, reason, speak, and take action in real time

Most people think voice AI means: "What's the price of BTC?" The interesting part starts when voice becomes control. 🎙️"Track smart money activity on BTC and alert me if accumulation increases." One gives answers. The other gives outcomes. That's a very different future for financial intelligence.

.@maitreya_wagh and @xan_ps watched voice AI demos work perfectly in labs, then break in Mumbai call centers: customers code-switching mid-sentence, connections dropping, reality exposing every edge case. They'd seen this pattern before—Maitreya shipping products at Datamuni and Bain, and Prateek scaling infrastructure at Zomato and Atlassian. So they built @bolna_dev to work in the complexity of enterprise environments. India runs on a billion business calls daily. Most are still manual, expensive, fragile. Bolna built an orchestration layer that lets enterprises deploy multilingual voice agents at scale, without vendor lock-in or brittle systems. Their platform already handles thousands of concurrent calls. Customer service reps now manage escalations while Bolna handles routine queries in Hindi, English, and Hinglish without dropping connections. We're backing Maitreya, Prateek, and the Bolna team from day one. More from @neerajarora, @yuris, @AkarshS27, and @SiddhantD06: