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The next wave of AI is here. Together with our partners, AMD is #AdvancingAI# with the high-performance CPUs and GPUs powering the next generation of intelligent computing. Learn more:

Today, AMD and @Microsoft are announcing an expanded strategic partnership to deliver a full stack of AMD AI solutions for @Azure, spanning GPUs, CPUs, networking and software. At the center of this expansion, Microsoft will deploy AMD Helios to power frontier model AI inference for Microsoft, its AI customers and support Azure AI services. Read more on the news ahead of #AdvancingAI#:

Safe AI won't come from competition alone, says Matt White, global CTO of AI at The Linux Foundation, at @AMD's Advancing AI event. It will require global cooperation and openness.

Open models shouldn't be viewed through a geopolitical lens, says Matt White, global CTO of AI at The Linux Foundation, at @AMD's Advancing AI event. Once they're open, they're for everyone to build on.

What a moment for @NPS_Monterey and the public sector. At Converge @ NPS, our CEO Jensen Huang joined federal leaders and ecosystem partners to commission the #NVIDIADGX# GB300 system, providing 1,500 students and 600 faculty with on-premises access to large-scale AI computing for research, model training, simulations, and real-world application development. The visit marked a shared commitment to advancing AI education, research, and mission-focused innovation.

留意 $AMD 7月大涨的机会 AMD Advancing AI 2026，定于 7月22-23日，地点旧金山 Moscone Center（同步线上直播）。 这是 AMD 的年度旗舰 AI 大会，规格对标 NVIDIA GTC。 主要看点： •Lisa Su 发表主题演讲，另有生态合作伙伴、客户及开发者参与  •预计发布下一代 Instinct MI500 系列 AI 加速器，以及基于 Zen 7 架构的 Verano CPU  •去年大会发布了 MI350 加速器、Helios 机架，并预告了 EPYC Venice 系列  •整体围绕 AMD 从芯片到软件的全栈 AI 方案，覆盖构建、部署、规模化等议题  投资角度值得关注的点： MI500 的规格与 TSMC N2P 制程进展（能否正面竞争 Blackwell/Vera Rubin）、ROCm 软件生态更新、以及是否有新的 OEM/云厂商合作公告，都是市场关注焦点。

🚨 BREAKING: Stanford University, OpenAI, Google DeepMind, and Anthropic researchers believe AI will soon able to build the next generation of AI itself. Not just assisting researchers… but contributing to new AI system development itself. As Anthropic CEO said: Claude already writes a large portion of the code used internally for newer model updates and development workflows. The paper, “AI Researchers' Views on Automating AI R&D and Intelligence Explosions,” interviewed leading researchers across frontier AI labs and academia. It identifies a major shift: * AI is rapidly improving at coding and math * Systems are moving from assistants → autonomous developers * Many researchers now see automated AI research as a realistic possibility This creates a critical turning point. AI may soon stop being only a tool for researchers… and start becoming a research contributor itself. The study also reveals a growing concern: If AI systems begin improving AI systems, progress could accelerate far beyond current expectations. Researchers describe this as a potential feedback loop: * better AI builds even better AI * which accelerates future capability growth This is one of the clearest signals yet that frontier labs are no longer thinking only about chatbots. They are thinking about autonomous research systems. The bigger implication is not just automation, it’s acceleration. As AI becomes capable of handling more of its own development cycle, the pace of progress may increasingly depend on compute and autonomous experimentation—not only human researchers. This points toward a deeper shift in AI: From AI assisting research to AI advancing AI itself article link below: