Anthropic Plans New Claude Data Retention Rules
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.
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Alibaba Bets Nearly $10 Billion on AI
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.
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Mayfield Doubles Down on Pre-Product AI Founders
Mayfield has invested more than $3 billion in AI companies, often before founders have built products or formally incorporated. Managing Partner Navin Chaddha explains the firm’s belief in AI as a potential “100x opportunity” and its decision to remain focused on early-stage investing.
Qwen Code Adds Smarter Web Shell Workflows
Qwen Code v0.21.15 improves Web Shell performance, file attachments, sidebar synchronization, and Goal v3 controls. It also adds reasoning toggles for hybrid Qwen models, resume support for reviews, and authenticated HTTPS Git extension installs.
Moore Threads’ Growth Comes with Big Questions
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.
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Cloudflare Previews Automatic WebMCP Support
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.
Safely Test Agent Changes Before Merge
LangSmith Preview Builds allow teams to test pull request branches in temporary, production-like deployments before merging agent changes. This gives developers a safer way to validate behavior without affecting the main production environment.
Scale Agentic AI Without Lock-In
AWS outlines enterprise patterns for operating many agentic AI systems across diverse frameworks, models, and providers. The guidance focuses on preserving flexibility and enabling multi-agent systems to scale together without vendor lock-in.
Build Agents Where Data Lives
AWS presents its portfolio of vector search capabilities embedded in existing databases and storage services, eliminating the need for a standalone vector database or data migration. The post compares six purpose-built services and provides a framework for selecting the right vector engine.
Generative Recommenders Transform Large-Scale Personalization
Generative recommenders are shifting recommendation objectives from embedding similarity toward predicting a user's next action or item. The approach uses user-history sequences and large catalogs to rethink how recommendation systems are trained and served at scale.