Google AI BlogGemini Intelligence is now available on more devices, including the Motorola Signature 27 and Pixel 10. New features will expand capabilities on these devices, helping users complete more tasks. Create My Widget is launching soon, allowing users to create personalized widgets with prompts; task automation will expand to the UK, India, and Japan.
AWS Machine Learning Blog
Google Developers BlogGoogle AI Edge Gallery has launched on-device automatic speech recognition (ASR) and text-to-speech (TTS) capabilities, enabling fully offline operation of multilingual ASR and natural TTS models on phones and wearable devices.
Meta EngineeringMeta open-sources Triton Low-Level Extensions (TLX) compiler, enhancing GPU performance by introducing explicit warp-group and cluster-level orchestration, supports RecSys training/inference and LLM pre-training, achieving end-to-end performance improvements over standalone libraries on NVIDIA and AMD GPUs.
Meta EngineeringMeta has launched the Your Algorithm tool, allowing users to edit interest lists ("Interested In"/"Not Interested In") in natural language to adjust Feed and Reels recommendations in real-time. The system uses LLM to process user preferences and integrate user behavior, achieving responsive adjustments through retrieval, reordering, and pushing optimization stages. New interest content will appear quickly but will not dominate recommendations.
PyTorch BlogExecuTorch WebGPU backend allows PyTorch models to run in WebGPU browsers without converting framework formats, supporting multiple models such as Llama 3.2, Qwen3, and Gemma 3.
AWS Machine Learning BlogTCS has built an Agentic test orchestrator for BFSI clients, transforming requirements into executable controlled tests through Amazon Bedrock AgentCore, breaking down tests into dedicated tasks and executing them using their respective agents, tools, and validation rules, while meeting project-specific context, API, and browser UI testing, tenant-level security isolation, and repeatable test path requirements, significantly improving test throughput and allowing engineers to focus on risk analysis and exploratory testing.
Anthropic ResearchAnthropic partnered with Diode Computers to test the ability of Claude Fable 5.2 to design electronic devices, a model capable of completing electronic hardware from design to prototyping.
Claude.dev BlogSame story · 2 outletsAnthropic has launched four Claude models for users to choose from: Claude Haiku 5.5, Claude Sonnet 5.5, Claude Opus 5.5, and Claude Fable 5.2.
How the accounts differ:TechCrunch states the input price of Fable is reduced to $8 per million tokens; others do not mention the price.
Google Developers Blog5858Google Cloud releases MaxText v0.2.4, supporting long-context training on TPUs, achieving 70% MFU for sequences of 4 million tokens with the Llama 3.1 8B model on TPU 5p using MaxText Context Parallelism technology, seamlessly scalable to 14 million tokens on TPU 5p and TPU 7
AWS Machine Learning Blog5858NVIDIA Nemotron 3.5 Super VL is now available on Amazon SageMaker JumpStart, supporting text generation from image, video, and text inputs.
Claude · YouTubeFeaturedSame story · 2 outlets7575Anthropic released Claude Fable 5.2, stating that it has improved in coding, reasoning, and vision, targeting the most complex and open-ended technical work. The official recommendation is to start most coding and knowledge tasks from Opus 5.5, and Fable 5.2 has been launched in the Pro, Max, Team, and Enterprise packages.
How the accounts differ:TechCrunch states the input price of Fable is reduced to $8 per million tokens; others do not mention the price.
Claude · YouTubeFeaturedSame story · 2 outlets7575Anthropic releases Claude Fable 5.2, designed for the most challenging technical challenges, with improvements in coding, reasoning, and vision, suitable for the most ambitious open-ended technical work. The official recommendation is to use Opus 5.5 for most coding and knowledge tasks, and Fable 5.2 is now available in the Pro, Max, Team, and Enterprise packages.
How the accounts differ:TechCrunch states the input price of Fable is reduced to $8 per million tokens; others do not mention the price.
Why it matters: The official statement explains the positioning and applicable scenarios of Fable 5.2, and provides a choice suggestion between Opus 5.5, making it easier to decide which model to use.
AWS Machine Learning Blog3838CrossnoKaye achieves industrial physical AI on Amazon Bedrock AgentCore through its ATLAS platform and AURA agent, improving production efficiency by 11-17% and reducing energy consumption by 21%. AURA leverages AgentCore's code interpreter capabilities to run Python workloads in isolated micro VMs to verify numerical calculations, while achieving closed-loop control through edge clusters and cloud optimization systems.
Berkeley AI Research2222BAIR team presented multiple research achievements at the Robot Learning Conference (CoRL) held from November 9 to 12, 2026, in Austin, Texas, including 33 main conference papers, 4 breakthrough posters, 10 oral presentations, and 7 thematic speeches, among which Professor Negar Mehr will deliver an early career keynote speech. The conference covers topics such as robotic vision-language-action models, embodied agents, fine-grained manipulation alignment, and hindsight reward editing.
Meta Engineering3838LLDB supports application debugging across CPU and GPU through the neutral accelerator plugin architecture of lldb-server, separating general debugging infrastructure from hardware-specific device control, presenting CPU and GPU as independent debugging processes that work together in a single debugging session. This architecture converts hardware-specific debugging APIs into concepts understood by LLDB through plugins, supporting collaborative debugging of CPUs and GPUs with different architectures, registers, memory spaces, and execution models while maintaining the neutrality of the client.
OpenAI Agents SDK releases2222OpenAI Agents SDK v0.24.0-alpha.7 released, supports classic workflows and native execution, adds voice and managed tools, introduces persistent session storage and context control. The new version defaults to strict mode execution, requiring updates to existing environments; bundled model default inference strength is increased to medium.
AWS Machine Learning Blog4242AWS launches serverless Model Context Protocol (MCP) server on Amazon ECS Fargate to address integration challenges of LLM agents accessing corporate data lakes in AI applications. The server achieves metadata-driven, configurable data lake access without the need to write integration code for each dataset, and supports elastic scaling in multi-tenant environments.
AWS Machine Learning Blog5858Amazon SageMaker Inference now supports GPU partitioning, dividing physical GPUs into independent partitions via NVIDIA Multi-Instance GPUs (MIG), where each partition receives a fixed share of GPU computing units and dedicated memory blocks for isolation. Deploy more models in isolation and choose the appropriate size of GPU units on demand to reduce costs, with a maximum of 7 partitions per GPU, no need to build Kubernetes yourself.
Claude Code releases2222Claude Code v2.1.319 released, automatic mode is changed when telemetry or feature flags are disabled, server-side checks are disabled; server-side checks enabled after LLM gateway need to set CLAUDE_CODE_AUTO_MODE_SERVER=1.
AWS Machine Learning Blog3838Greenlight Financial autonomously processes over 90% of 4,000 security risk cases each month. Its solution, Luna, runs on Amazon Bedrock AgentCore, which includes over 30 specialized agents. Through AgentCore's runtime and memory support for hierarchical multi-agent systems, it achieves second-level security event triage in seconds without human intervention.
AWS Machine Learning Blog4848Okta Cross App Access manages access permissions for AI agents within identity providers, while Amazon Bedrock AgentCore verifies and transforms authorization decisions at the execution level.
Hugging Face Blog5858Hugging Face released ToyBlocks, a framework for robot learning and evaluation that provides a controlled simulation environment. The framework supports automatically generating tasks and training demonstrations, and includes metrics to measure changes in robot behavior over time, aiming to study how models improve with more training data and how to combine advanced reasoning with precise physical control.
ByteDance Seed · Hugging Face new modelsCola2 is a continuous latent language model that combines dynamic compression VAE, block causal diffusion Transformer (DiT), and cross-segment causal token decoder, dynamically grouping text into semantic segments, representing each segment with a compact continuous latent, generating latent blocks and implementing them as discrete tokens.
vLLM BlogVeRL-Omni v0.3.0 released, extending asynchronous execution to more multimodal reinforcement learning workloads, setting the V1 trainer as the default option, and expanding post-training support for images, video, audio, and multimodal understanding.
Hugging Face BlogFeatured7171NVIDIA has added four new open-source weight checkpoints for Cosmos 3 under the Cosmos World Model platform, all of which are post-trained versions of Cosmos 3 Nano, containing 16B trainable parameters, using the OpenMDW1.1 license, allowing commercial and non-commercial use.
Why it matters: The original text provides four open-source weight checkpoints and a four-stage training recipe, allowing readers to judge how to adapt the world model to their own sensors and robot bodies.
Databricks Blog5858Databricks and the Linux Foundation announced the upgrade of Delta Sharing to OpenSharing in June 2026, expanding the sharing scope from Delta Lake tables to include Agent skills.
Google AI BlogFeaturedSame story · 2 outlets7878Google has released Gemini Omni 1.2 Flash and has officially opened it through the Gemini API and Gemini for business. The duration of native video generation has increased from 10 seconds in Omni 1.1 to 15 seconds, with a step length of 1 second specified from 3 to 15 seconds. The price of 720p has been reduced to 0.07 US dollars per second, a decrease of 30% from 1.1.
Google DeepMindFeaturedSame story · 2 outlets7878Google DeepMind has released Gemini Omni 1.2 Flash, increasing the native video generation duration from 10 seconds in Omni 1.1 to 15 seconds, and it has been fully opened in the Gemini API and Gemini for business.
Why it matters: The original text lists specific changes in duration, price, and reference consistency, allowing readers to judge how the cost and workflow of video generation will change.
Microsoft ResearchThe PDD Kit translates user intent into formal specifications and verifies whether the code written by the agent for each input conforms to these specifications, supplemented by testing. The team officially validated the Rust-written Pet Store login logic using the Chopin environment on GitHub Next with the PDD Kit, and the Verus tool discovered and fixed existing bugs, proving no login bugs under the specification.
NVIDIA Newsroom3838NVIDIA enhances memory efficiency through full-stack co-design, optimizing memory usage across layers of GPU, CPU, network, storage, and software. The Blackwell Ultra GPU increases HBM capacity by about 3% per GPU, while the SemiAnalysis AgentX reduces agent inference cost by 30x.
LangChain BlogLangChain explores three principles of human feedback to enhance agent development: expert judgment defines quality standards, comprehensive context evaluation, and converting feedback into reusable data; through agent trace to record user interactions and model behavior, manually labeled scoring with reasons, used to calibrate automated evaluators, improve evaluation criteria, and build golden datasets, forming reusable expert knowledge assets.
LangChain Blog5252LangSmith Bring Your Own Cloud (BYOC) now supports AWS (GA), Azure (Beta), and Google Cloud (Beta), allowing users to keep tracking, evaluation, datasets, prompts, and agent deployments in their chosen cloud accounts, with LangChain managing the data layer.
ByteDance Seed · Hugging Face new modelsByteDance-Seed/Qwen3-30B-A3B-MoE-SAE is released, containing TopK sparse autoencoders (k=100, 2^20 latent variables) trained on layers 4, 30, and 46 of the Qwen3-30B-A3B model. Each SAE is approximately 17.2 GB, with reconstruction variance unexplained scores of 12.6%, 25.1%, and 7.6% respectively.
ByteDance Seed · Hugging Face new models5858ByteDance-Seed released the Cross-Layer Transcoder (CLT) for Qwen3-8B-Base, which includes 36 layers × 32,768 latent variables, with 94.2B parameters, a total size of 377 GB, supporting fp32 inference, encoding by jointly scoring the top 360 activated latent variables across all layers, and reconstructing the original MLP output during decoding.
Google ResearchThe Agile Deliberation framework assists humans in defining the boundaries of subjective concepts through iterative dialogue, transforming fuzzy ideas into precise AI instruction blueprints. The framework is divided into two stages: concept definition and concept iteration, which processes fuzzy images through direct feedback. In 18 user experiments of 1.5 hours each, it significantly reduces user fatigue and anxiety, making AI model performance superior to standard baselines.
AWS Machine Learning Blog4141U Mobile partnered with AWS to develop the AiDaH intelligent customer service center based on Amazon Bedrock AgentCore, handling 150 operational scenarios through cross-system real-time coordination, chained reasoning, and a multi-tenant security framework, resulting in an 84.5% reduction in critical business work orders. AiDaH will launch a pilot by the end of 2025 and officially launch in Q3 2026, using Microsoft Teams as the interaction interface
Ai2 BlogAi2 receives a $10 million three-year grant from Google.org to collaborate with Google Research in developing the open-source climate model NeuralGCM+, aiming to improve the speed and reliability of climate predictions; the model extends from Google Research's NeuralGCM, combining physical equations with AI to simulate the joint effects of the atmosphere and oceans, with simulation cycles extended to decades, supporting regional rainfall and water resource change predictions, and plans to promote research community collaboration through open-source code and documentation.
Hugging Face BlogFeatured6060IBM's research team fine-tunes a 20B open-source weight model, Palette, using a two-role LoRA scheme where designers write JSON briefs and encoders generate pptxgenjs code page by page to create presentations according to IBM Design Language.
Why it matters: IBM uses synthetic data and checks to repair closed-loop training for a 20B small model to create presentations, providing a method that can be transferred to other structured outputs.
