Nvidia is reportedly in the process of acquiring Hugging Face, an AI resource repository, for approximately $13 billion. While the deal is not yet finalized, anonymous sources have indicated this development to The Information and Business Insider.

Nvidia has shown interest in Hugging Face for years, participating in a Series D funding round in 2023 alongside companies like Google and Amazon, which valued Hugging Face at $4.5 billion. Later, Nvidia attempted a $500 million solo investment, but Hugging Face declined, not wanting an investor to gain decision-making power.

The reported acquisition price reflects a significant increase in Hugging Face's valuation, climbing from $7 billion to over $12.9 billion in less than a year. This rapid growth may have been influenced by a recent incident where an OpenAI model reportedly breached Hugging Face's systems, increasing its public profile.

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Google has introduced new productivity features to Gemini Live, enabling users to manage complex tasks through voice commands. These enhancements include Personal Intelligence, Daily Brief, and integration with Spark, facilitating hands-free email management and daily schedule organization.

The integration with Spark allows users to set up complex, multi-step tasks across Google Docs, Sheets, Drive, and the web using natural voice commands. For instance, users can verbally brainstorm ideas and have them transformed into structured outlines in Google Docs, or automatically generate weekly meal plans and grocery lists based on saved recipes.

Furthermore, Gemini Live's Daily Brief feature provides spoken summaries of important updates from Gmail and Calendar, offering users a concise overview to start their day. The Personal Intelligence feature leverages past conversations and data from connected Google apps like Gmail, Photos, Search, and YouTube to deliver uniquely personalized assistance.

👉 Read the full article on Google Blog

Google has unveiled Gemini 3.5 Transcribe, its most precise speech-to-text model designed for intelligent voice interactions. This model excels at converting raw audio into accurate, polished, and formatted text, effectively handling background noise, complex jargon, and disfluencies.

Gemini 3.5 Transcribe is accessible via two distinct APIs: a real-time streaming API for continuous, bidirectional streaming with sub-second latency, and an interactions API for processing pre-recorded audio with speaker attribution and word-level timestamps.

Key features include smart transcription, which seamlessly handles self-corrections, removes filler words, and auto-formats text. It also supports function calling to delegate complex tasks like image generation and file analysis to other Gemini models, automatically detects over 85 languages, and adapts to custom vocabulary.

Gemini 3.5 Transcribe is integrated across various Google products, including the Rambler feature on Gboard, Google Antigravity, the Gemini macOS app, and upcoming voice typing in Chrome. Notably, it enables developers to "vibe code" apps with their voice in Google AI Studio, offering a more intuitive development experience.

👉 Read the full article on Google Blog