venturebeat
Meta returns to open source AI with Omnilingual ASR models that can transcribe 1,600+ languages natively

Meta has just released a new multilingual automatic speech recognition (ASR) system supporting 1,600+ languages — dwarfing OpenAI’s open source Whisper model, which supports just 99. Is architecture also allows developers to extend that support to thousands more. Through a feature called zero-shot in-context learning, users can provide a few paired examples of audio and text in a new language at inference time, enabling the model to transcribe additional utterances in that language without any retraining.In practice, this expands potential coverage to more than 5,400 languages — roughly every spoken language with a known script.It’s a shift from static model capabilities to a flexible framework that communities can adapt themselves. So while the 1,600 languages reflect official tra [...]

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venturebeat
Anthropic vs. OpenAI red teaming methods reveal different security priorities for enterprise AI

Model providers want to prove the security and robustness of their models, releasing system cards and conducting red-team exercises with each new release. But it can be difficult for enterprises to pa [...]

Match Score: 190.15

Destination
Meta's Omnilingual ASR brings speech recognition to 1,600 languages

Meta's Fundamental AI Research (FAIR) team has introduced Omnilingual ASR, an automatic speech recognition system that can transcribe spoken language in more than 1,600 languages.<br /> The [...]

Match Score: 182.68

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: 135.57

venturebeat
Cohere's open-weight ASR model hits 5.4% word error rate — low enough to replace speech APIs in production pipelines

Enterprises building voice-enabled workflows have had limited options for production-grade transcription: closed APIs with data residency risks, or open models that trade accuracy for deployability. C [...]

Match Score: 129.36

venturebeat
Microsoft launches 3 new AI models in direct shot at OpenAI and Google

Microsoft on Wednesday launched three new foundational AI models it built entirely in-house — a state-of-the-art speech transcription system, a voice generation engine, and an upgraded image creator [...]

Match Score: 113.14

venturebeat
Mistral drops Voxtral Transcribe 2, an open-source speech model that runs on-device for pennies

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 [...]

Match Score: 110.47

Destination
Meta Ray-Ban Display review: Chunky frames with impressive abilities

I've been wearing the $800 Meta Ray-Ban Display glasses daily for ten days and I'm still a bit conflicted. On one hand, I'm still not entirely comfortable with how they look. I've [...]

Match Score: 107.89

venturebeat
AI models block 87% of single attacks, but just 8% when attackers persist

One malicious prompt gets blocked, while ten prompts get through. That gap defines the difference between passing benchmarks and withstanding real-world attacks — and it's a gap most enterprise [...]

Match Score: 105.99

Destination
How an Oregon court became the stage for a $115,000 showdown between Meta and Facebook creators

Some of the most successful creators on Facebook aren't names you'd ever recognize. In fact, many of their pages don't have a face or recognizable persona attached. Instead, they run pa [...]

Match Score: 104.83