
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.

Oracle 創辦人 Larry Ellison 正把公司從高利潤軟體企業,轉型為重資產 AI 基礎設施供應商,押注 OpenAI 等客戶對 GPU 與資料中心算力的長期需求。文章分析,Oracle 已大幅增加資本支出、借款與長期租賃承諾,雖然雲基礎設施收入快速成長,但也面臨現金流、信用評級與客戶合約履行風險。

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.

Google AI研究の中心人物が相次いで退社し、「Geminiは終わった」と見る声が出ている。一方でGoogleは、最先端モデル単体ではなく、AIを社会全体に普及させる基盤として勝つ戦略を選んだ可能性がある。

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.

Moore Threads’ first post-IPO half-year report shows revenue rising 147% to RMB 1.736 billion, while attributable losses narrowed sharply. However, the improvement relies heavily on concentrated cloud-computing sales, government subsidies, investment gains, and IPO-funded cash reserves rather than a clear recovery in core operations.
Cloudflare is previewing a feature that automatically adds WebMCP support to webpages. The update could simplify how developers make web experiences accessible to AI 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.