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Alibaba Group reported a 9% revenue increase as growing AI development in China boosted demand for computing capacity from its cloud business. The results highlight how AI infrastructure demand is supporting Alibaba’s broader growth.
Stecon Group Pcl plans to bid for three data-center construction projects valued at a combined 49.8 billion baht, or about $1.5 billion. The company expects Thailand’s accelerating technology investment to drive further growth.
AWS Professional Services uses a multi-agent framework on Amazon Bedrock AgentCore to automate enterprise cloud migrations end to end. Specialized agents cover discovery, infrastructure-as-code generation, portfolio governance, and post-migration operations, reducing IaC development time from weeks to minutes.
Alibaba has launched Qwen-UI-Agent, a general-purpose GUI agent foundation model designed for real-world tasks across mobile, desktop, web, and DeepSearch environments. The article reports that it surpassed GPT 5.6 and Claude Opus 4.8 on a mobile benchmark.
Slack is launching Slack Code, a dedicated channel experience for teams to collaborate with AI coding agents. Users can tag agents such as Anthropic’s Claude or Cognition’s Devin, compare code changes, and preview HTML output within project-specific channels.
Relativity Networks raised $22 million through a SAFE and secured a $40 million order from a large cloud provider. The Orlando-based company is developing fibre technology intended to accelerate connectivity inside AI data centres.
OpenAI says it has temporarily slowed scaling, paused reinforcement learning for two weeks, and placed its largest planned frontier RL run on hold while it strengthens safety evaluations. It will also offer zero data retention to eligible API customers starting in September.
GitLab Dedicated customers can now deploy the AI Gateway for GitLab Duo Agent Platform within their single-tenant SaaS environment. This keeps AI processing aligned with the customer's selected AWS region and enables connections to Amazon Bedrock or preferred model providers.
A hyper-optimized Qwen3.8-27B inference stack using DFlash2 reaches about 138 tokens per second on a power-limited RTX 3090, while 64-request throughput reaches 942 TPS. Prefix caching also reduces long-chat follow-up latency from roughly 23 seconds to under 1.4 seconds in reported tests.
OpenAI has slowed parts of its AI development to strengthen security and safeguards. The company paused reinforcement-learning training for two weeks on its latest deployment-focused models and delayed its largest planned frontier RL run.