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Tactile robotics is expanding from sensor hardware into datasets, foundation models, and evaluation benchmarks. Research shows touch improves physical reasoning and robot success, but inconsistent sensor formats create major cross-device transfer challenges.
ByteDance’s Seed foundation-model division has reportedly completed another internal restructuring. Its foundation-model organization now includes four first-level departments focused on pretraining data, reinforcement learning, product post-training for work, and product post-training for chat.
NVIDIA FLARE enables organizations to coordinate training for vision-language models while keeping sensitive image and text data at local institutions. The approach supports multimodal use cases such as visual question answering, captioning, and image-text reasoning without centralizing raw records.
AI video creation is moving toward a previsualization workflow built around 3D white models instead of extremely long prompts. This approach helps AI systems follow precise camera-movement requirements more reliably.
Amazon Bedrock now supports OpenAI GPT-5.6 models—Sol, Terra, and Luna—across more than 25 AWS Regions through cross-Region inference. Developers can use US geographic or global inference profiles to improve throughput and access the models through OpenAI and Converse APIs.
Anthropic plans to let business customers retain data for its most capable AI models on their own cloud infrastructure. The planned safety system, expected later this year, would still require a 30-day retention period while moving storage control to customers.
Ramp has launched Router, an AI model routing service that allows users and companies to access and switch between multiple large language models. The service is available through an API.
Kuaishou’s Kling AI raised nearly $3 billion at a post-money valuation of $18 billion, with Kuaishou’s stake falling to 68.33% and a potential Hong Kong IPO targeted by 2031. Despite strong revenue growth, Kling faces slowing momentum, talent departures, and intense competition from ByteDance’s Seedance and open-source video models.
Long-form audiences remain highly sensitive to visible AI flaws, making full-stack AI production risky for films and television. Industry leaders are instead adopting human-led workflows where AI supports visual effects, previsualization, cleanup, quality control, and other production bottlenecks.
Callosum has raised $100 million in early financing to develop software that matches specific AI tasks with suitable models and chips. Backers include the UK’s public AI fund.