Tech Showdowns and Innovations: Musk vs. OpenAI, Military Smart Glasses, and Google I/O
This week's technology landscape features a trio of major developments: a courtroom loss for Elon Musk against OpenAI, new details about augmented reality headsets designed for military use, and the kickoff of Google's annual developer conference. Additionally, researchers are pushing forward with 'world models' AI systems that aim to understand physical environments. Below, we break down each story and what it means for the future.
Elon Musk's Lawsuit Against OpenAI Dismissed on Timing Grounds
Elon Musk has lost his high-profile lawsuit against OpenAI, but the verdict did not address whether the company violated its original nonprofit mission. Instead, a jury determined that Musk filed the case too late, making his claims invalid under statutes of limitations. The central issue was whether OpenAI breached its founding contract by shifting toward a for-profit structure. The company argued that signs of this transition were visible as early as 2017, while Musk claimed he only became aware of the change in 2022. Although the court ruled against Musk, the debate over OpenAI's structure may continue in other forums. For more context on the chronology and potential implications, see the timeline section below.
Key Timeline in the Dispute
- 2015: OpenAI is founded as a nonprofit with a mission to develop safe, beneficial AI.
- 2017: According to OpenAI, internal discussions about a for-profit shift begin; Musk steps down from the board in 2018.
- 2022: Musk files his lawsuit, alleging that OpenAI's transition to a capped-profit model violates its founding principles.
- 2025: A jury rules that Musk's claims are barred by the statute of limitations, effectively dismissing the suit.
Legal experts suggest that the fight over OpenAI's corporate structure is far from over, as other parties may bring similar challenges. Meanwhile, the case highlights ongoing tensions between the ideals of open AI development and the financial realities of building advanced models.
Anduril and Meta Prototype Smart Glasses for Military Use
Defense technology company Anduril, in collaboration with Meta, has revealed new capabilities of an augmented reality headset being developed for the U.S. military. Quay Barnett, a former U.S. Army Special Operations officer now leading the project at Anduril, described the goal as optimizing the human as a weapons system. The headset is designed to allow soldiers to coordinate drone strikes using eye-tracking and voice commands, potentially transforming how combat operations are conducted. The partnership leverages Meta's expertise in AR hardware and Anduril's defense systems integration. While the technology is still in prototyping, it raises significant ethical and strategic questions about the future of warfare.
For a deeper dive into how these smart glasses could change the battlefield, read the full feature by James O'Donnell.
Google I/O 2025: What to Expect as the Company Competes in AI
Google's annual developer conference, I/O, begins today with the company positioned as a clear third place in the foundation model race. Coding capabilities have become a key benchmark for AI models, and for months Google's tools have lagged behind Anthropic's Claude Code and OpenAI's Codex. However, Google continues to lead in areas such as AI for scientific discovery. At I/O, the company will attempt to demonstrate that it can compete on both fronts—advanced coding and scientific AI. Our reporter Grace Huckins is on the ground in Mountain View. Here are three key things to watch:
- New coding models: Will Google unveil an upgraded version of its Gemini model specifically optimized for code generation?
- AI for science: Expect announcements around AlphaFold-like applications and new research tools.
- Developer tools: Updates to Google's AI platform and APIs for third-party developers.
Stay tuned for live coverage and analysis in our newsletter The Algorithm, which delivers AI insights every Monday.
Can AI Learn to Understand the Physical World?
As the limitations of large language models become more apparent, a new class of AI—called world models—is gaining attention. These systems are designed to comprehend and simulate physical environments, moving beyond text-based reasoning. Recent advancements from Google DeepMind, Fei-Fei Li's World Labs, and Yann LeCun's new startup have pushed world models to the forefront of AI research. To explore this progress and its implications, MIT Technology Review will host a virtual event on Thursday, May 21, featuring editor in chief Mat Honan and leading researchers.
Register for the event here.
This article is adapted from The Download, our daily newsletter covering the latest in technology. Sign up to receive it in your inbox every weekday.