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At $250 million, top AI salaries dwarf those of the Manhattan Project and the Space Race

1 August 2025 at 21:23

Silicon Valley's AI talent war just reached a compensation milestone that makes even the most legendary scientific achievements of the past look financially modest. When Meta recently offered AI researcher Matt Deitke $250 million over four years (an average of $62.5 million per year)โ€”with potentially $100 million in the first year aloneโ€”it shattered every historical precedent for scientific and technical compensation we can find on record. That includes salaries during the development of major scientific milestones of the 20th century.

The New York Times reported that Deitke had cofounded a startup called Vercept and previously led the development of Molmo, a multimodal AI system, at the Allen Institute for Artificial Intelligence. His expertise in systems that juggle images, sounds, and textโ€”exactly the kind of technology Meta wants to buildโ€”made him a prime target for recruitment. But he's not alone: Meta CEO Mark Zuckerberg reportedly also offered an unnamed AI engineer $1 billion in compensation to be paid out over several years. What's going on?

These astronomical sums reflect what tech companies believe is at stake: a race to create artificial general intelligence (AGI) or superintelligenceโ€”machines capable of performing intellectual tasks at or beyond the human level. Meta, Google, OpenAI, and others are betting that whoever achieves this breakthrough first could dominate markets worth trillions. Whether this vision is realistic or merely Silicon Valley hype, it's driving compensation to unprecedented levels.

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Unleashing the Power of ArgoCD by Streamlining Kubernetes Deployments

16 July 2025 at 12:09
Unleashing the Power of ArgoCD by Streamlining Kubernetes Deployments

Learn what ArgoCD is and why it's a leading GitOps tool for Kubernetes. This guide covers core concepts, architecture, and how to automate your continuous delivery pipeline.

Continue reading Unleashing the Power of ArgoCD by Streamlining Kubernetes Deployments on SitePoint.

Two major AI coding tools wiped out user data after making cascading mistakes

24 July 2025 at 21:01

New types of AI coding assistants promise to let anyone build software by typing commands in plain English. But when these tools generate incorrect internal representations of what's happening on your computer, the results can be catastrophic.

Two recent incidents involving AI coding assistants put a spotlight on risks in the emerging field of "vibe coding"โ€”using natural language to generate and execute code through AI models without paying close attention to how the code works under the hood. In one case, Google's Gemini CLI destroyed user files while attempting to reorganize them. In another, Replit's AI coding service deleted a production database despite explicit instructions not to modify code.

The Gemini CLI incident unfolded when a product manager experimenting with Google's command-line tool watched the AI model execute file operations that destroyed data while attempting to reorganize folders. The destruction occurred through a series of move commands targeting a directory that never existed.

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