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AI Is Running Into a $7 Trillion Wall

The rise of AI over the past two years or so has often been framed as a high stakes race. Bigger models, unbelievable company valuations, more compute and bigger datacenters. Every milestone reinforced the meteoric trajectory of AI’s growth. Could AI keep scaling without limit? Many hyperscalers and governments aligned around that vision, committing to…

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The Terraform scaling problem: When infrastructure-as-code becomes infrastructure-as-complexity

Terraform promised us a better world. Define your infrastructure in code, version it, review it, and deploy it with confidence. For small teams running a handful of services, that promise holds up beautifully. Then your organization grows. Teams multiply. Modules branch and fork. State files balloon. And suddenly, that clean declarative vision starts looking a…

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Nvidia’s SchedMD acquisition puts open-source AI scheduling under scrutiny

Nvidia’s recent acquisition of SchedMD, the company behind the Slurm workload manager, is raising concerns among AI industry executives and supercomputing specialists who fear the chip giant could use its new position to favour its own hardware over competing chips, whether through code prioritization or roadmap decisions. The concern, as industry sources frame it, is…

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Enterprise developers question Claude Code’s reliability for complex engineering

When a coding assistant starts looking like it’s cutting corners, developers notice. A senior director in AMD’s AI Group has publicly needled Anthropic’s Claude Code for what she calls a tendency to skim the hard bits, offering answers that land but don’t quite stick. The gripe isn’t about outright failure so much as fading rigor,…

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