Meta Launches Muse AI Image Generator
Meta has introduced Muse, a new AI image generator, available for free in its apps and platforms, with some features sparking privacy concerns.
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New AI models as they ship — large language models, multimodal systems, and open-weight releases. Capabilities, context windows, pricing, and availability, summarized so you can compare what is actually new.
Meta has introduced Muse, a new AI image generator, available for free in its apps and platforms, with some features sparking privacy concerns.
Meta's Muse Image AI model allows anyone to use public Instagram photos in AI-generated images, with no opt-out unless users change settings.
Cohere has released an open-source Arabic speech-to-text model, claiming it is the most accurate available, with human ratings showing superior performance over Whisper Large V3.
Refik Anadol Studio's AI art collection, priced at $10,000 to $50,000, highlights the growing value of digital art in the market.
Anthropic announced that Claude Cowork, its AI agent, can now run tasks without an active desktop session, expanding access to mobile and web users.
Cohere Transcribe Arabic achieves lowest word error rate among open-source models, outperforming Whisper and OmniASR by 11 points.
xAI announced 21 new multilingual Grok Voice models on July 6, 2026, expanding its voice offerings to 26 total.
OpenAI's GPT-4 held the top spot on the Epoch Capabilities Index for about a year, far longer than any model since.
Tencent's Hy3 model matches performance of models up to five times its active size, according to internal testing.
Zhipu AI introduced ZCode, a code-writing tool that matches Claude Code and OpenAI Codex in functionality but at a lower cost.
Amazon launched Nova, a foundation model that helps redact personally identifiable information in images, with a focus on handling complex edge cases. The solution uses Nova 2 Lite and Segment Anything Model (SAM 3) to provide accurate redaction.
Anthropic developer Thariq Shihipar highlights that Fable 5's performance depends on users identifying their own blind spots before crafting prompts.