How GM Transformed Its Engineering Process with AI Agents, Tripling Merged Pull Requests
General Motors revolutionized its autonomous vehicle engineering by integrating AI agents into its workflows, enabling engineers to focus less on coding and more on oversight. This innovation tripled merged pull requests, accelerated feature releases, and reduced defects by automating data analysis, problem triage, and testing across development stages. GM’s method, which involved deep integration of AI with internal tools and careful oversight, highlights the potential of AI-driven workflow redesign to boost software engineering efficiency and quality.
How Runway Turned an AI Video Model Bug into a Valuable Feature
Runway tackled a bug causing AI avatars to drift off-center during video generation by creating a front-end feature that auto-centers images, turning a limitation into a product benefit. Their approach, shared by Ryan Phillips at VB Transform 2026, showcases innovative model training, cross-team evaluation, and infrastructure optimization, highlighting how AI can reshape real-time creative workflows.
Federal Regulators Host Private Discussions with Industry on Clinical AI Adoption
Federal health regulators are holding exclusive meetings with industry leaders and lobbyists to promote the use of clinical AI, aiming to accelerate its adoption in healthcare.
Hilton’s CMO on How Brand Marketing Builds Emotional Connections
Mark Weinstein, Hilton’s Global CMO, discusses the company’s approach to brand marketing by tapping into emotional connections through creators, AI technology, and loyalty, highlighting how these elements help Hilton navigate the evolving advertising environment in the hospitality sector.
Nvidia Offers Traditional Automakers a New Path to Self-Driving Technology
Nvidia's new open model provides an accessible way for established car manufacturers to develop self-driving technology without starting from scratch, helping them catch up in the autonomous vehicle space.
Demis Hassabis Transitions to Chair and Chief Scientist Roles Amid Google DeepMind Leadership Reshuffle
Google DeepMind's CEO Demis Hassabis moves to a strategic chair and chief scientist role at Alphabet, focusing on the future of AI development. Koray Kavukcuoglu steps up as senior VP of DeepMind, while Jeff Dean leaves to start Discovery Loop. Google faces pressure with delayed AI model launches and talent departures, but CEO Sundar Pichai remains confident in their AI innovation leadership.
Stop Prompting AI; Start Mastering Its Direction
This article explores how professionals can move beyond simple AI prompting to directing agentic AI systems. By configuring AI agents with the right context, capabilities, and analytical orientations, professionals can uncover deeper insights through multiple lenses, surface organizational silences, bridge analysis across levels, and stress-test categories. The approach emphasizes discovery over answers, treating unexpected findings as valuable signals and applying professional judgment to evaluate AI-generated proposals, enriching organizational understanding and decision-making.
At Waymo, AI Projects Are Defined by Rigorous Evaluations, Not Just Performance Milestones
Waymo revolutionizes AI deployment by making rigorous, continuous evaluation central to its development process, prioritizing safety and trust over just model performance. Their approach offers crucial insights for enterprises deploying AI, stressing ongoing testing, human oversight, and aligning evaluations with real-world impact.
How 5 Startups Are Building Trust and Connectivity for Enterprise AI Agents
Five startups are pioneering solutions to enhance enterprise AI agents by enabling seamless communication, trust, security, and auditability. BAND focuses on orchestrating multi-agent systems; Conifers accelerates cybersecurity response; Raindrop AI provides critical issue detection and simulation; Arcade.dev offers secure authorization and observability; and Omilia improves customer experience with a self-learning AI platform. Collectively, they are shaping the next generation of trustworthy and interconnected AI agents for enterprises.
Nimble Unveils Domain-Specific Web Search Agents That Slash Token Costs and Enhance Accuracy
Nimble launches Web Search Agents tailored for domain-specific AI research, achieving 21% higher accuracy and cutting token costs by 51%. These self-learning agents optimize data retrieval for enterprises, improving efficiency and reducing overhead in tasks like competitive intelligence and lead generation. Available via API and partnerships with major tech firms, Nimble targets developers building production-level AI agents with specialized, cost-effective search capabilities.
Bright Machines Unveils Hybrid Robotic Cell to Enhance AI Server Manufacturing Efficiency
Bright Machines introduces the Hybrid BRC, a robotic cell that enables manual assembly steps in AI server production without losing data integrity. This innovation bridges the gap between human flexibility and robotic precision, significantly improving yield and accelerating deployment. Currently deployed in US facilities, it addresses the bottleneck in AI infrastructure buildout by combining automation with detailed quality monitoring and data traceability. Bright Machines aims to transform manufacturing with faster retooling and enhanced security, supporting the onshoring of production with fewer workers and greater efficiency.
Tesla Reaches 10 Million Electric Vehicles, Driving Towards Elon Musk’s Ambitious Pay Target
Tesla has achieved a major milestone by producing 10 million electric vehicles, marking significant progress toward one of Elon Musk's core goals linked to his $1 trillion pay package.
Meta Highlights How AI Simplifies Consumer App Development, Promising More Innovations Ahead
Meta's CEO Mark Zuckerberg announced that AI technology is making it much easier to develop and launch new consumer apps, with several new products expected soon. This marks a significant step in leveraging AI to drive innovation and expand Meta's consumer offerings.
Commonwealth Fusion Systems Secures $1 Billion to Advance Commercial Fusion Energy
Commonwealth Fusion Systems has raised $1 billion to support the development of its first commercial fusion power plant, advancing the startup's mission to deliver sustainable and clean fusion energy.
Zoox Receives Federal Approval to Charge for Robotaxi Rides
Federal regulators have granted Zoox a temporary exemption enabling the company to start charging customers for rides in its custom-built robotaxis, advancing the commercial use of autonomous vehicles.
The High-Stakes Race in AI: OpenAI vs. Anthropic
The rapid advancement of AI technology has raised alarms among researchers about its pace and ethical challenges, including ownership concerns highlighted by Mark Zuckerberg. Amid this, Black Forest Labs is actively pushing the boundaries of robotics innovation.
Gemini Robotics 2: Bringing Google's AI Into the Physical Realm
Google DeepMind's Gemini Robotics 2 advances AI by merging artificial general intelligence with physical robotics, enabling real-world applications. While this innovation expands AI's reach beyond digital spaces, it also poses new safety and ethical challenges that require careful oversight.
Gemini Robotics ER 2: Advancing Multi-Robot Collaboration and Video Intelligence
Gemini Robotics ER 2 introduces advanced capabilities in video understanding and multi-robot coordination, setting a new standard for robotic application performance and collaboration efficiency.
Japan Becomes a Member of the EU's Horizon Europe Research and Innovation Program
Japan has officially joined the EU's Horizon Europe program, marking a new chapter in international research and development collaboration. Engagement talks began in 2024, highlighting a strengthened partnership for innovation and technology advancement between Japan and the EU.
The Critical Role of Robust AI Systems in Safety-Sensitive Fields
Professor Martin Hayes explores the importance of developing robust AI systems for safety-critical environments, underscoring how interdisciplinary skills in engineering and patience are essential for advancing safe and reliable AI technologies.