Today's digest · Tuesday, August 11

The 13 things in AI/dev today.

LiveNext issue at 7:00 CET
#1 / TODAY
Hugging Face·1 min·3d agoFREE

Build Low-Latency Multilingual Voice Agents: Open Weights & Full Deployment Control with NVIDIA Magpie TTS

NVIDIA has released Magpie TTS, a text-to-speech model with open weights, designed for building low-latency multilingual voice agents. The model offers full deployment control, allowing developers to integrate it into their own systems. The announcement was made on the Hugging Face blog, highlighting the model's availability and its focus on multilingual support and performance.

Open-weight TTS with full deployment control enables developers to build low-latency multilingual voice agents without vendor lock-in.

nvidiattsvoice-agentsmultilingual
huggingface.co
Build Low-Latency Multilingual Voice Agents: Open Weights & Full Deployment Control with NVIDIA Magpie TTS
V4-Flash vs. V4-Pro: DeepSeek promised better and cheaper. It’s true,  but not how I expected.
#2 / TOP STORY
The New StackFREE

V4-Flash vs. V4-Pro: DeepSeek promised better and cheaper. It’s true, but not how I expected.

DeepSeek released V4-Flash and V4-Pro, claiming better performance at lower cost. The New Stack tested the models and found the claims true, but the results differed from expectations. The article details benchmark outcomes and pricing comparisons, highlighting where each model excels and where the cost-performance tradeoff plays out unexpectedly.

Meta Muse Code vs. Fable 5: Meta Muse is cheaper, but at what cost?
#3 / TOP STORY
The New StackFREE

Meta Muse Code vs. Fable 5: Meta Muse is cheaper, but at what cost?

The New Stack compares Meta's Muse Code with Fable 5, noting that Muse Code is cheaper but raises questions about trade-offs. The article likely discusses performance, features, or quality differences, but the provided excerpt lacks substantive details. It suggests that while cost is lower, there may be hidden costs or limitations.

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