foundation models

Wayve’s decision to build its next-generation self-driving stack around deep learning and Microsoft Azure marks a decisive pivot in how autonomous vehicles might scale from controlled testbeds to bustling city streets, and it raises as many practical questions as it does technological promise...

Apple’s AI leadership just got a high‑stakes reset: Amar Subramanya, a longtime researcher‑engineer who has moved between Google and Microsoft, has been named Apple’s new vice president of AI and will take charge of Apple Foundation Models, machine‑learning research, and AI safety and...

Apple’s AI organization has a new public face: Amar Subramanya, a veteran researcher and engineering leader who has moved from Microsoft to Cupertino to take the role of Vice President of AI and oversee Apple Foundation Models, machine‑learning research, and AI safety — a leadership shift Apple...

Apple’s AI organization has a new technical steward: Amar Subramanya, an Indian‑origin researcher‑engineer whose appointment as Vice President of AI signals a decisive shift in Apple’s push to marry foundation‑model capability with the company’s longstanding privacy and on‑device performance...

Apple’s machine‑learning organization entered a new phase this week as long‑time AI leader John Giannandrea announced he will step down from day‑to‑day responsibilities and retire in spring 2026, while Amar Subramanya — a veteran engineer and researcher with deep experience at Google and a...

Apple’s AI leadership has been reshuffled at a pivotal moment: long‑time AI chief John Giannandrea is stepping down to become an adviser and retire in spring 2026, while Amar Subramanya — a senior engineering leader with deep experience at Google and a brief stint at Microsoft — joins Apple as...

Apple’s AI leadership is being reshaped: John Giannandrea, the executive who built and led Apple’s machine‑learning organization, will step down from his senior‑vice‑president role to serve as an adviser and then retire in spring 2026, while Amar Subramanya — a seasoned researcher‑engineer with...

Apple’s AI organization officially got a high-profile infusion of engineering leadership on December 1, 2025, when the company announced that veteran machine learning researcher Amar (Amarnag) Subramanya has joined Apple as Vice President of AI, reporting to Senior Vice President of Software...

Apple’s AI leadership shake-up is the clearest signal yet that the company’s grand plan for Siri and “Apple Intelligence” needs more than a software patch — it needs fresh leadership, reorganized reporting lines, and a hard reckoning with the technical and cultural limits that have left Apple...

Apple’s top AI leadership is changing: John Giannandrea, the senior vice president who built the company’s machine‑learning organization, will step down and retire in spring 2026 while remaining an adviser during the transition, and Amar Subramanya has been hired as Apple’s new vice president of...

Apple’s AI leadership has been reshuffled again: Amar Subramanya, a Bangalore‑born researcher‑engineer with a long Google pedigree and a brief stint at Microsoft, has been named Apple’s new Vice President of AI. The appointment places Subramanya in charge of Apple Foundation Models...

Amar Subramanya joins Apple at a decisive moment: the company has named him Vice President of AI to lead its foundation models, machine learning research, and AI safety efforts as part of a broader reshuffle that will see long‑time AI leader John Giannandrea step down and serve as an advisor...

Apple's decision to install Amar Subramanya as vice president of AI marks a sharp inflection point in the company's AI strategy and an unmistakable signal: Apple intends to get serious, fast, about closing the gap on generative AI and large-scale model work that powers modern intelligent...

Microsoft’s AI team has shipped two first‑party foundation models — MAI‑Voice‑1 and MAI‑1‑preview — a move that signals a deliberate strategic pivot from being primarily a host and integrator of external models toward building proprietary AI infrastructure optimized for Microsoft’s product...

Microsoft’s AI unit has publicly launched two in‑house models — MAI‑Voice‑1 and MAI‑1‑preview — signaling a deliberate shift from purely integrating third‑party frontier models toward building product‑focused models Microsoft can own, tune, and route inside Copilot and Azure. Background...

Microsoft’s AI unit has shipped two first‑party foundation models — MAI‑Voice‑1 and MAI‑1‑preview — marking a clear acceleration of in‑house model development even as the company continues to integrate and promote OpenAI’s frontier models such as GPT‑5 across its product stack. The launches are...

Microsoft’s announcement that it has deployed two first‑party models — MAI‑Voice‑1 for speech generation and MAI‑1‑preview as a consumer‑focused foundation model — marks a deliberate strategic shift toward productized, in‑house AI and a clear attempt to reduce operational dependence on...

Microsoft’s move to ship MAI‑Voice‑1 and MAI‑1‑preview marks a clear strategic inflection: the company is no longer only a buyer and integrator of frontier models but a serious producer of first‑party models engineered to run inside Copilot and across Microsoft’s consumer surfaces. Microsoft...

Microsoft has quietly shipped its first fully in‑house AI models — MAI‑Voice‑1 and MAI‑1‑preview — marking a deliberate shift in strategy that reduces dependence on OpenAI’s stack and accelerates Microsoft’s plan to own more of the compute, models, and product surface area that power Copilot...

Microsoft has quietly crossed a strategic Rubicon: after years of tight integration with OpenAI, the company has begun shipping its own first-party foundation models — notably MAI-Voice-1 and MAI-1-preview — and is positioning them inside Copilot and Azure as the start of a long-term bid to...