OpenAI has launched ChatGPT Business Premium seats, a new tier priced at $125/month ($100 if billed annually) that offers five times the usage of Standard Business seats and removes the five-hour-per-day limit on advanced features. The move comes as Chinese open-weight models increasingly rival closed-source frontier AI on capability.
GitHub has released a Copilot SDK for Java, giving enterprise developers a way to integrate GitHub Copilot directly into JVM-based applications using annotations and virtual threads. The SDK targets Java shops that want programmatic control over Copilot rather than relying solely on IDE integrations.
GitHub has released a Copilot SDK for Java, allowing enterprise developers to programmatically drive GitHub Copilot using idiomatic Java constructs like annotations and virtual threads. The release extends Copilot's SDK ecosystem beyond its existing language support.
OpenAI has launched GPT-5.6-Cyber, a specialized model for offensive security research that answers 95% of sensitive cybersecurity queries other models refuse. The model already discovered real vulnerabilities in Chrome's V8 engine and a major mobile OS, and is available through a new restricted access tier called Daybreak Red.
NVIDIA's Magpie TTS Multilingual, a 364M-parameter open-weights text-to-speech model, now supports 12 languages after adding Modern Standard Arabic, Korean, and Brazilian Portuguese. The model achieves 32ms time-to-first-audio on B200 GPUs and improves speech quality across French, Spanish, and German.
Meta released Muse Glimmer, a 30-billion parameter open-weight model under Apache 2.0 license designed to run AI agents locally on consumer hardware. It's an open version of Meta's closed Muse Spark model and supports text, images, and over 100 languages.
Unsloth has published GGUF quantizations of Muse Glimmer-30B, a dense 29.6B-parameter causal transformer with a dedicated perception encoder, attributed to Meta Superintelligence Lab in the model card. The model targets autonomous agentic tasks on consumer hardware with a 131,072-token context window and 4-bit quantization under 20GB.
Meta has released Muse Glimmer, a 30-billion-parameter open-weight model under Apache 2.0, its first open release since Llama 4 in spring 2025. The launch comes with a Zuckerberg essay defending distillation of rival models and hinting at a future 'dynamic auction' pricing scheme for compute.
Apple has confirmed that its new Siri AI features in China will be powered by Alibaba's Qwen models rather than Google Gemini, which handles Siri AI elsewhere. A published guide indicates users will need separate Qwen accounts, suggesting the privacy protections built into Apple's Private Cloud Compute won't apply.
Meta CEO Mark Zuckerberg announced the company will open-source its Muse Spark 1.2 model and launch a new on-device model family called Muse Glimmer. The move positions Meta against closed-model rivals OpenAI and Anthropic and against Chinese open-weight labs like DeepSeek and Alibaba.
Meta Superintelligence Lab has released Muse Glimmer, a 29.6-billion-parameter multimodal model distilled from Muse Spark for autonomous agentic tasks that run entirely on consumer hardware. The Apache 2.0-licensed model ships with a dedicated perception encoder, 131K+ token context, and speculative decoding for local speedups up to 3.1x.
OpenAI has paused some internal activities on its unreleased Astra model after preliminary evaluations suggested it may be capable of launching autonomous cyberattacks against sophisticated defenses. The disclosure comes amid a wave of AI security incidents at Anthropic, Meta, and OpenAI, and growing U.S. and EU regulatory pressure.
Ollama v0.32.7 adds support for Muse Glimmer, a 30B-parameter multimodal model that Meta describes as the first release from its new Meta Superintelligence Labs division. Initial support runs through Ollama's MLX engine on Apple Silicon, with NVIDIA and AMD support promised in the coming days.
Meta has released Muse Glimmer, a 30B parameter multimodal model distilled from its larger Muse model, designed for local, privacy-aware agentic applications. The model ships under the Apache 2.0 license as part of Hugging Face Transformers v5.15.0, which also adds support for IBM's GraniteSWA/GraniteMoeSWA and the A.X-K1/K2 models.
OpenAI says internal testing of its unreleased Astra model showed cybersecurity and agentic coding capabilities strong enough that it cannot rule out a 'Critical capability level' designation. The company is pausing internal Astra activities that don't meet new stricter security controls.
GitHub Models, the unified LLM API and playground that let GitHub Actions workflows make free AI calls using existing GitHub credentials, has been fully retired. GitHub has not disclosed a reason, though rising inference costs from coding-agent usage are the likely driver.
Anthropic will make Claude Code's auto mode the default for Pro, Max, and Team accounts starting August 14, reducing step-by-step approval prompts. The company cites a study of 1,053 testers showing auto mode caught 89% of harmful actions versus 13.6% for manual review.
Google DeepMind published a technical report on DiffusionGemma, a text diffusion model built by retrofitting Gemma-4-26B-A4B rather than training from scratch. The model generates 256-token blocks in parallel, reaches about 1,500 tokens per second on an Nvidia H100, and uses less than 10% of the original training budget.
Anthropic will make auto mode the default setting for new Claude Code sessions on Pro, Max, and Team plans starting August 14, 2026. The company cites a 1,053-person study showing auto mode blocked 89% of harmful actions compared to 13.6% for human reviewers, plus a third-party test claiming zero successful prompt injections out of 720 attempts.
Anthropic will enable Auto Mode by default in Claude Code for Pro, Max, and Team plans starting August 14, 2026. Internal testing with 1,053 paid users found the classifier-based system caught 89% of dangerous commands compared to 13.6% caught by human reviewers, while producing 25% more pull requests.