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Presentation: The Future of Engineering: Mindsets That Matter When Code Isn’t Enough

Ben Greene discusses how software engineers can adapt and thrive in an era of rapid AI code automation. Drawing on his startup experience, he explains key mindsets like starting simple, maintaining code comprehension, attacking hard problems first, and focusing on customer impact. He shares why human empathy, agency, and practical problem-solving remain irreplaceable when code is automated. By Ben Greene

2026-07-28 原文 →
AI 资讯

Samsung’s chip workers are jumping ship to rival SK Hynix

Lee, an engineer at Samsung’s semiconductor division, clocks out when his shift ends. He used to work longer hours, going the extra mile to excel at his projects. But lately, he’s been coming straight home to work on his job application for the chipmaker’s South Korean rival SK Hynix, sharing tips with his coworkers on…

2026-07-28 原文 →
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X Money is launching in the US starting today

X Money, a core part of Elon Musk's mission to turn X into an "everything app," is rolling out starting today, 9to5Mac reports. The payment platform offers a digital wallet and peer-to-peer payments similar to Venmo, along with a metal Visa card users can emblazon with their X username. Other perks include Apple Wallet support […]

2026-07-28 原文 →
AI 资讯

The path to artificial superintelligence

Imagine a healthcare system made up of multiple AI agents: one that manages symptom assessment, another scheduling, a third insurance, and a fourth pharmacy. Each is an expert in its domain. But they all have their own distinct knowledge and objectives. Today they can exchange data, but they are not yet able to actually coordinate…

2026-07-27 原文 →
AI 资讯

Closing the data loop in AI-driven drug discovery

Drug discovery is a high-cost, high-risk endeavor that is under growing pressure from a market increasingly defined by first-mover advantage. Since the 1950s, the cost of developing new pharmaceuticals has roughly doubled every nine years—a phenomenon known as Eroom’s Law. Today, bringing a new drug to market takes an average of 10-15 years and costs…

2026-07-27 原文 →
AI 资讯

Building the enterprise environment for agentic AI

For the enterprise, the promise of agentic AI is much more than just a better chatbot. It is software agents that execute business tasks end-to-end across people, business workflows, data, and systems. The platform best-suited to run agents is built with proper CPU capacity, resilient data access, policy-aware tool use, observability, memory management, and the…

2026-07-27 原文 →