Anthropic released Claude Fable 5, a safety-treated Mythos-class model; in high-risk cyber, biochemistry, and distillation domains, it automatically falls back to Opus 4.8, with one trigger per 20 conversations on average.

Anthropic launched Claude Fable 5 and Claude Mythos 5 at $10 per million input tokens and $50 per million output tokens. Fable 5 leads FrontierCode among frontier models, while Mythos 5 reports about 10x acceleration in drug design and about 80% scientist preference in blinded molecular biology hypothesis tests.

Anthropic launched Claude Fable 5, calling it the most capable model it has ever released widely. It excels at software engineering, knowledge work, and vision, with its lead growing on longer, more complex tasks. This is the first broad release from the Mythos family, previously deemed too dangerous because of cybersecurity capabilities. New safeguards that block responses in specific high-risk areas made the release possible. The post doesn't disclose benchmarks, pricing, or a launch date.

Anthropic opened its most powerful model family to the public for the first time with Claude Fable 5, a version of Mythos. It excels at software engineering, knowledge work, and vision, but blocks responses in high-risk areas like cybersecurity, biology, chemistry, and distillation, falling back to Claude Opus 4.8. Mythos was previewed in April for select partners only due to cybersecurity concerns. The post doesn't spell out Fable 5's parameter count, pricing, or regional availability.

Google released Gemini 3.5 Live Translate, a speech-to-speech translation model that supports more than 70 languages, starts translating before the speaker finishes, uses streaming updates, and runs through Gemini Live API, Google Meet preview, and Google Translate apps on iOS and Android.

Google DeepMind released Gemma 4 12B, a multimodal model with a unified encoder-free architecture, native audio input, Apache 2.0 licensing, and local laptop runtime with 16GB of VRAM or unified memory.

A developer replaced a complex OCR pipeline with GPT-5.5, making 23,000+ ChinaRxiv papers freely available with more complete English translations.

Tencent Hunyuan released UniRL, using one post-training loop to cover diffusion and flow-matching models, LLM/VLM systems, and unified multimodal models, while open-sourcing two algorithms, DRPO and Flow-DPPO.

A coding agent chained ideogram-ai/ideogram4 and VAST-AI/TripoSplat to generate Paris monument images, reconstruct single-image 3D Gaussian splats as .ply files, convert them to .ksplat with about 3× smaller size, and deploy a static Three.js Space using APIs exposed through agents.md.

Runway introduced the Aleph 2.0 video editing model, letting users upload an existing video in its desktop web app, choose an aspect ratio, and have the model fill the remaining scene area for the selected format.

Mustafa Suleyman said superintelligence is coming without causing mass unemployment; Microsoft signed a new OpenAI contract last October and released seven omnimodal models at Build this week.

Bordair’s author says six months of detection-API traffic showed three recurring attack patterns: multi-turn setup, forward-momentum exploitation, and role redefinition; the public adversarial game produced roughly 6,700 attacks last month.

Amap released ABot-Earth0.5, a 3D-native city world model covering more than 190 countries and regions, generating kilometer-scale 3D cities from satellite images or text within 10 minutes on consumer GPUs.

FT says AI can use CCTV data to identify targets, and Russia paused a surveillance system after the killing of Iran’s Supreme Leader; the RSS snippet does not disclose the system name, model mechanism, vendor, or timeline.

Hokkaido farmer Hiroki Tomiyasu uses ChatGPT and Codex for 8 farm tasks, including broccoli disease recognition, NDVI monitoring, ESP32 greenhouse control, LINE chatbots, sowing-count tracking, RTK-GPS steering study, and an Airtable farm database.

City University and Kuaishou Kling proposed VLM-as-Teacher, which uses VLM feedback to optimize VGM LoRA at test time, reporting a 16.7-point average gain and raising VBVR-Bench from 0.666 to 0.781.

JD open-sourced JoyAI-Echo, a long audio-video generation framework for 5-minute consistent videos, using cross-modal memory, DMD post-training for about 7.5x faster inference, and real-time upscaling from 720P to 1K or 2K output.

OpenCV 5 introduces a graph-based DNN engine, raising ONNX operator coverage from under 23% in 4.x to over 80%, with native support for Transformer, VLM, and LLM workloads.

Victor M summarized 25+ open-weight model releases in one week, including NVIDIA Nemotron 3 Ultra, a 550B hybrid Mamba-MoE with 55B active parameters and a 1M-token context window.

PhysX-Omni models rigid, deformable, and articulated objects in one simulation-ready 3D generation framework, while PhysXVerse contains over 8.7K physical 3D assets across more than 2.9K categories.

JD open-sourced JoyAI-Echo, a long audio-video generation framework that supports up to 5 minutes of cross-shot audiovisual consistency, local repainting, 8-step DMD distillation, and output up to 1472×2560 resolution.

Google AI announced six updates: Nano Banana 2 is generally available, Gemma 4 12B can run fully offline on laptops, and Magenta RealTime 2 is open source.

Gemini App adds real-time image creation and editing inside Live; users must open Live, share the camera, and tell Gemini what they want to see.

General Instinct open-sourced InstinctRazor, compressing Qwen3.5-122B-A10B from a roughly 245GB BF16 MoE model into a 48GiB GGUF, with a small-GPU mode that streams experts from system RAM and uses about 7.6–8GB peak VRAM at an 8k context window.

Meta pushed face-recognition code named NameTag into its smart-glasses companion app, which has more than 50 million downloads; the feature uses three AI models to convert faces into local face templates and match them against a phone database.

Microsoft AI released seven MAI models, with MAI-Thinking-1 listed as 1T A35B with a 256K context window and MAI-Code-1-Flash listed as 137B A5B with a 256K context window.

Southeast University and Peking University researchers introduced MetaFine, a diagnostic meta-evaluation framework that tests fine-grained robot manipulation across understanding, perception, and behavior, and the article says traditional binary success metrics can overestimate fine-manipulation capability by up to 70%.

Yao Shunyu said at Tencent Cloud’s AI industry application conference that Hunyuan 3 rebuilt pretraining and reinforcement-learning infrastructure, changed data and evaluation, and assigned its strongest post-training staff to improve Yuanbao first; he named coding agents, multimodality, and embodied AI as Tencent’s next focus areas.

Google AI for Developers released the open-weight Magenta RealTime 2 music model, supporting MIDI, live text prompts, and gestures, with native MacBook latency under 200 ms.

Boson AI and LMSYS released the Higgs Audio v3 TTS service with about 4B parameters, a Qwen3-4B backbone, support for 100 languages, streaming synthesis, and text tags for controlling 20+ emotions plus style, rhythm, and sound effects.

neolab released Nex-N2-Pro, a 397B-parameter MoE reasoning model based on Qwen3.5-397B-A17B, with 262K context, VLM support, claimed GPT-5.5 and Claude Opus 4.7-level performance, 30–50% fewer thinking tokens, SOTA results on Terminal Bench 2.1, GDPVal, and SWE-Verified, plus free access for the first two weeks via SiliconFlow.

MoleculeMind released MMDesign, an AI platform for de novo biologics design. In tests across 12 therapeutic targets, it validated specific binding on 11 targets, sending only 14 to 50 molecules per target into wet-lab assays and reporting a target success rate above 90%.

MiniMax M3 ranks first among open-source models on Artificial Analysis, and the article says it supports a 1M-token context window, used 100T-scale pretraining, and will open-source its weights and full technical report within 10 days.

Google released Gemma 4 12B, a medium-size model that runs locally with 16GB VRAM or unified memory. It uses an encoder-free multimodal architecture, supports native audio input, ships under Apache 2.0, and includes an MTP draft model for lower latency.

Xpeng presented its world-model stack at CVPR 2026, covering X-World, X-Foresight, and X-Cache; the article says X-Cache cuts about 70% of repeated computation, the second-generation VLA used over 4 trillion training tokens, and the in-car stack reduced inference latency to 80 ms.

Ideogram released Ideogram 4.0, an open-source text-to-image model with a 9.3B-parameter core, a single-stream DiT architecture, Qwen3-VL-8B-Instruct text encoder, and a No. 4 ranking in DesignArena human evaluation.

UK MP Jess Asato sued Musk’s xAI over fake sexual images, using the claim to test whether AI model makers are liable for system outputs; the post does not disclose the model, generation mechanism, damages sought, or court timetable.

Google’s title introduces Gemma 4 12B as a unified, encoder-free multimodal model; the RSS snippet only lists 137 Hacker News points and 48 comments, and the post does not disclose architecture details, training setup, pricing, release terms, or benchmark results.

Google DeepMind released Gemma 4 open-weight models in five sizes, with the 12B variant supporting text, image, and audio input, instruction-tuned and pre-trained variants, native system prompts, function calling, and a context window of up to 256K tokens.

President Donald Trump signed a new AI order asking companies to voluntarily submit frontier models for government review 30 days before release, without mandatory licensing; the newsletter also says Anduril and Meta are prototyping a military AR headset that envisions drone-strike orders through eye tracking and voice commands.