BREAKING 🔥: ByteDance launched SeedRealtime, a native audio-visual full-duplex LLM!

> SeedRealtime uses a unified architecture to natively fuse audio, video, and text, enabling real-time interaction over continuous multimodal streams and delivering a brand-new "watch, listen, and speak" experience.

It is now live on the Doubao App for free, enabling voice and video conversations.

Full-duplex Omni 🤯

Mistral releases Shieldstral for multimodal moderation

Mistral released Shieldstral, a 3B Apache 2.0 open-weight multimodal safety classifier for text and images. It uses prompt-defined yes/no policies, runs on a single 16GB GPU, and targets customizable moderation without retraining.

🗞 #mistral @testingcatalog

Cloudflare announces Wallets for AI agent payments

Cloudflare Wallets will let AI agents pay for APIs and web services via stablecoins and x402, with owner-set budgets, allowlists, and caps. The system adds optional agent identity and supports Cloudflare’s push into machine-native commerce.

🗞 #ai @testingcatalog

ByteDance launches SeedRealtime full-duplex AI model

ByteDance’s SeedRealtime is a full-duplex audio-visual LLM that processes speech, video, and text in one model, reducing latency and context loss while handling timing, scene cues, and real-world dialogue with fewer pacing errors.

🗞 #bytedance @testingcatalog

Meta opened a registration for Meta Connect 2026 which will take a place on September 23-24.

New Meta AI models soon? 👀

Meta launches Muse Code beta powered by Muse Spark 1.2

Meta launched Muse Code beta, a terminal agent for full software tasks across large repositories on macOS and Linux. Powered by Muse Spark 1.2, it plans, codes, validates, logs work locally, and supports restart-safe sessions.

🗞 #meta @testingcatalog

Codex now supports ChatGPT extension on Microsoft Edge with its Computer Use feature.

A new "More browsers" section has been added to the settings menu. So far, Edge is the only other browser supported.

Prime Intellect announced Prime Agent, a new self-improving RLM harness for coding and long-running autonomous tasks.

Prime Agent scored 95.5% on ARC-AGI-3! 🤯

> The Recursive Language Model (RLM) treats context as a variable and subagent delegation as function calls inside a REPL.

> Continual Harness treats the harness's own state, abstracted as its prompts, skills, memory, and sub-agents, as something the agent can create, read, update, and delete (CRUD) from its own trajectory.

The next level of abstraction 👀