Anthropic released Claude Fable 5, the first publicly available version of its Mythos model, with built-in safety restrictions that automatically block high-risk queries in cybersecurity, biology, chemistry, and related fields. The model costs $10 per million input tokens and $50 per million output tokens, double the price of Claude Opus 4.8.
Anthropic has released Claude Fable 5, marking the first broad release from its Mythos class of AI models. The company previously deemed this model family too dangerous for public release due to exceptional cybersecurity capabilities, but new safeguards that block responses in high-risk areas now make it available at $10 per million input tokens and $50 per million output tokens.
Anthropic released Python SDK v0.108.0 on June 9, 2026, adding support for two new Claude models: Claude Mythos-5 and Claude Fable-5. The update includes both server-side and client-side fallback middleware for handling model refusals.
Google announced Gemini 3.5 Live Translate, a speech-to-speech translation model supporting over 70 languages with continuous audio generation. The model rolls out today to Google Translate on Android and iOS, with Google Meet integration coming in private preview this month for select Workspace customers.
Google DeepMind released Gemini 3.5 Live Translate, an audio model that provides near real-time speech-to-speech translation across 70+ languages. The model automatically detects languages, preserves speaker intonation and pacing, and maintains a few seconds of latency while generating continuous speech output.
Google DeepMind has released Gemma 4 12B, a 12-billion parameter multimodal model that runs locally on laptops with 16GB of RAM. The model eliminates separate vision and audio encoders, processing raw inputs directly through its language model backbone under an Apache 2.0 license.
Apple detailed its third-generation Foundation Models family: five models including AFM 3 Core Advanced, a 20-billion-parameter on-device model that keeps most parameters in flash storage and loads only 1-4 billion at a time into memory. The models were custom-built with Google and trained on Google's TPUs.
Apple announced at WWDC 2026 that the rebuilt Siri runs on a custom 1.2-trillion-parameter model based on Google's Gemini technology, hosted on Google Cloud servers powered by Nvidia Blackwell B200 GPUs. The company unveiled a three-tier privacy architecture and five new Apple Foundation Models to handle queries across device, private cloud, and Google Cloud infrastructure.
Google DeepMind has released quantization-aware training (QAT) optimized versions of its Gemma 4 model family in GGUF Q4_0 format. The QAT versions preserve similar quality to bfloat16 while dramatically reducing memory requirements, with models available across the entire Gemma 4 lineup: E2B, E4B, 12B, 26B A4B, and 31B.
Apple announced a redesigned Siri AI at WWDC 2026, powered by a custom Gemini-derived model from Google that runs on Apple's Private Cloud Compute infrastructure. The company also introduced Core AI, a new library that integrates with PyTorch to enable developers to deploy models on Apple hardware.
Google lowered its AI Plus subscription from $8 to $5 per month and doubled included storage from 200GB to 400GB. The plan includes access to Gemini 3 Pro, Nano Banana Pro, Deep Research, and the newly announced Gemini Omni video generation model.
Apple announced it will waive cloud API fees for developers with fewer than 2 million first-time App Store downloads who use its Foundation Models running in Private Cloud Compute. The company also expanded its Foundation Models framework to include image input and support for server models from third-party cloud providers.
Apple announced Siri AI at WWDC 2026, revealing a "deep collaboration with Google" that leverages Gemini models for its next-generation Apple Intelligence features. The new Siri includes personal context understanding, app actions, on-screen awareness, and conversational capabilities previously absent from the original Siri.
Apple unveiled Siri AI at WWDC 2026, a rebuilt version of its assistant powered by Apple Intelligence and enhanced with Google Gemini. The company confirmed daily usage limits for features like image generation, with increased access requiring iCloud+ subscriptions. Siri AI won't launch in China and faces EU restrictions.
Apple's senior vice president Craig Federighi disclosed that iOS 27's Siri AI uses a family of third-generation Apple Foundation Models trained with outputs from Google's Gemini frontier models. The most capable model, AFM Cloud Pro, runs on Nvidia GPUs in Google's cloud infrastructure while maintaining Apple's Private Cloud Compute privacy architecture.
Google is rolling out Gemini for Home version 4.18, adding hourly weather forecasts with improved temperature accuracy, natural language controls for streaming movies and TV shows, and conversational news briefings across Nest devices. The update focuses on making smart display interactions more detailed and conversational.
Apple announced a suite of Apple Intelligence updates across iOS apps, including cross-app context awareness that surfaces email details during phone calls, one-tap AI-powered password updates, and natural language Shortcuts creation. Safari gains AI-generated extensions, while Photos gets spatial reframing and improved object removal.
Apple announced significant updates to Image Playground at WWDC 2026, adding natural language editing capabilities and multi-subject generation from Photos library. The updates address previous quality concerns, though hands-on testing has not yet been conducted.
Apple announced a standalone Siri app at WWDC 2026, marking what the company calls the assistant's biggest transformation. The app archives conversation history, supports text and voice input plus document and image uploads, and syncs across Apple devices via iCloud.
Apple announced three AI-powered photo editing tools for iOS 27: an upgraded Clean Up feature for object removal, Extend for generating content around image borders, and Reframe for changing photo angles. The features use a combination of on-device and cloud AI models, marking a shift from Apple's previous on-device-only approach.