venturebeat
Everything in voice AI just changed: how enterprise AI builders can benefit

Despite lots of hype, "voice AI" has so far largely been a euphemism for a request-response loop. You speak, a cloud server transcribes your words, a language model thinks, and a robotic voice reads the text back. Functional, but not really conversational. That all changed in the past week with a rapid succession of powerful, fast, and more capable voice AI model releases from Nvidia, Inworld, FlashLabs, and Alibaba's Qwen team, combined with a massive talent acquisition and tech licensing deal by Google DeepMind and Hume AI.Now, the industry has effectively solved the four "impossible" problems of voice computing: latency, fluidity, efficiency, and emotion.For enterprise builders, the implications are immediate. We have moved from the era of "chatbots that sp [...]

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venturebeat
OpenAI launches GPT-Live, a full-duplex voice upgrade that lets ChatGPT talk more like a person

OpenAI on Wednesday launched GPT-Live, a pair of new voice models that fundamentally redesign how people talk to ChatGPT — replacing the company's existing Advanced Voice Mode with an architect [...]

Match Score: 95.23

venturebeat
Perplexity takes its ‘Computer’ AI agent into the enterprise, taking aim at Microsoft and Salesforce

Perplexity, the AI-powered search company valued at $20 billion, announced on Wednesday at its inaugural Ask 2026 developer conference that its multi-model AI agent, Computer, is now available to ente [...]

Match Score: 79.54

venturebeat
Mistral AI just released a text-to-speech model it says beats ElevenLabs — and it's giving away the weights for free

The enterprise voice AI market is in the middle of a land grab. ElevenLabs and IBM announced a collaboration just this week to bring premium voice capabilities into IBM's watsonx Orchestrate plat [...]

Match Score: 77.97

venturebeat
Legacy IAM was built for humans — and AI agents now outnumber them 82 to 1

Active Directory, LDAP, and early PAM were built for humans. AI agents and machines were the exception. Today, they outnumber people 82 to 1, and that human-first identity model is breaking down at ma [...]

Match Score: 68.70

venturebeat
Scale AI launches Voice Showdown, the first real-world benchmark for voice AI — and the results are humbling for some top models

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 [...]

Match Score: 64.89

venturebeat
GitHub leads the enterprise, Claude leads the pack—Cursor’s speed can’t close

In the race to deploy generative AI for coding, the fastest tools are not winning enterprise deals. A new VentureBeat analysis, combining a comprehensive survey of 86 engineering teams with our own ha [...]

Match Score: 64.85

venturebeat
Red teaming LLMs exposes a harsh truth about the AI security arms race

Unrelenting, persistent attacks on frontier models make them fail, with the patterns of failure varying by model and developer. Red teaming shows that it’s not the sophisticated, complex attacks tha [...]

Match Score: 60.79

venturebeat
Anthropic launches Claude Tag, replacing its Slack app with a persistent AI teammate that learns, monitors and works autonomously

Anthropic on Tuesday launched Claude Tag, a new product that embeds its most advanced AI model directly inside Slack as a persistent, shared teammate that anyone on a team can delegate work to by simp [...]

Match Score: 50.97

venturebeat
Google's Opal just quietly showed enterprise teams the new blueprint for building AI agents

For the past year, the enterprise AI community has been locked in a debate about how much freedom to give AI agents. Too little, and you get expensive workflow automation that barely justifies the &qu [...]

Match Score: 49.90