CoreWeave announced that NVIDIA Vera Rubin NVL72 systems with Spectrum-X 102.4T Ethernet were available on CoreWeave Cloud, with Cognition becoming the first customer to run them in production.
Google DeepMind has released SynthID Bio, bringing watermarking technology to synthetic biology. It embeds imperceptible signatures in biological code so that watermarks can be verified in both digital models and the physical proteins synthesised from them, while preserving their biological function.
GPT-6.1 Sol is now generally available on Amazon Bedrock, offering stronger reasoning for agentic coding, computer use and everyday professional workloads. OpenAI says it matches GPT-6 Astra on DeepSWE v1.1 at roughly one-fifth the cost per task, and exceeds GPT-6 Sol’s best result by 6.4 percentage points.
NVIDIA released Kumo Tabular, an open-source tabular foundation model that predicts labels for new rows in a single forward pass given labelled rows, without training, tuning or feature engineering. It supports classification and regression, offers three sizes from 28M to 215M, and was pretrained solely on artificially generated tables. It uses the commercially usable OpenMDW-1.1 licence and ranks first on TabArena, BeyondArena, TALENT and ScoringBench.
Microsoft Research released Quine, an AI research system for biological complexity, comprising a biological world model trained on multimodal data spanning sequences, structures, functions, cell states and imaging, and an interactive harness connecting the model, scientific tools, literature and experimental researchers.
OpenAI has released dots, a proactive assistant that keeps work moving on complex projects and everyday tasks. The company says dots lets users stay in control as work progresses.
xAI’s Grok 4.7 is available on Amazon Bedrock with a 500K-token context window, four configurable reasoning levels—low, medium, high and xhigh—and support for the Responses, Chat Completions and Converse APIs.
AWS announced Claude Sonnet 5.5 availability on Amazon Bedrock and Claude Platform on AWS, positioning it as a more efficient Sonnet for coding and knowledge work, with lower cost per task and faster speeds for most tasks.
Google Research published research on long-form video generation, proposing an AI video co-director multi-agent orchestration framework built on Gemini and Veo to plan visual continuity across multi-shot narratives.
GitHub Security Lab released Fuzzing Taskflow, an autonomous fuzzing pipeline for C/C++ projects. Given a GitHub repository, it identifies entry points, analyses build systems, writes harnesses, runs AFL++, reads coverage reports and improves harnesses, then classifies every crash and generates vulnerability reports.
Microsoft Research systematically measured mobile manipulation robot workloads and found that offloading physical AI inference from onboard GPUs to edge or cloud GPUs can improve task success, support larger models and extend battery life.
Google DeepMind announced an update to Private AI Compute that brings persistent, cross-device AI memory to the cloud while maintaining device-level privacy standards. Data is sealed in encrypted storage, with decryption keys retained only on user devices. When a model needs access, an end-to-end encrypted channel connects to a cloud secure enclave, where data is temporarily decrypted in isolated memory, then re-encrypted immediately after new context is saved.
Google DeepMind released Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS. The former targets character design and line-by-line performance direction, while the latter targets high-concurrency voiceovers and voice agents.