
Ornith-1.5 Launches Three Open Model Sizes
Ornith-1.5 launches open models in 397B, 35B, and 9B parameter sizes. The models feature self-improving task and scaffold generation and report strong performance on coding and reasoning benchmarks.
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Ornith-1.5 launches open models in 397B, 35B, and 9B parameter sizes. The models feature self-improving task and scaffold generation and report strong performance on coding and reasoning benchmarks.
Nebius Group is seeking to raise $4.5 billion through convertible bonds. The company plans to use the capital as it builds data centers to meet demand for artificial intelligence services.

Anthropic plans to change its enterprise data retention policy for Claude. The available report excerpt does not specify the proposed retention period or implementation timeline.

VB Pulse data shows enterprises are adopting multiple AI orchestration platforms instead of relying on a single vendor. The survey also highlights persistent concerns about security, permissions, token usage, cost visibility, and the ability to stop runaway agent spending in real time.
Alibaba’s profit plunged after it raised quarterly capital expenditure for AI to nearly $10 billion. The report also examines Meta’s growing role as a Microsoft AI customer and Castelion’s plans to scale hypersonic missile production.

Vercel CLI now supports the full Vercel Toolbar comment triage workflow from the terminal. Developers can list, inspect, reply to, resolve, reopen, edit, and delete comments, with JSON output available for scripts and coding agents.

Meta is expanding Pocket, an experimental AI-powered app for creating and sharing interactive games, to users across the U.S. The app was previously tested quietly in Brazil.
Slack Code now lets developers bring AI coding agents into a shared Slack group chat, allowing teammates to participate in the interaction. The update shifts coding-agent use from a private developer workflow toward collaborative team review and discussion.

Chinese AI companies are optimising software to handle growing inference demand while access to high-end Nvidia processors remains limited. Domestic chips can support some inference workloads, but complex coding tasks still depend partly on scarce Nvidia capacity.
Moonshot and ZAI are reportedly approaching the performance of models from OpenAI and Anthropic. The models can reportedly build passable websites at a cost 75% lower than Claude, highlighting potential advantages in cost-sensitive coding workflows.