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A growing conversation in developer circles asks whether AI-generated code is making foundational skills obsolete — and the answer, increasingly, is no. Writers and engineers are pushing back on the idea that understanding algorithms, data structures, and systems thinking has somehow expired. The argument is straightforward: when the AI gets it wrong, and it will, you need to know enough to catch it.
That concern connects directly to a sharper warning making the rounds today. A piece circulating on Hacker News frames Anthropic as a genuine supply chain risk for businesses building on its models. The core tension is one we've seen before with cloud concentration — when a single provider sits beneath so many products, any disruption, policy shift, or model change ripples outward in ways companies may not be prepared for.
On a more playful note, a music startup called Thoughtful Things has launched a Kickstarter for something called Engram, a sampler and groovebox that deliberately leans into AI hallucinations rather than correcting them. Instead of polished, radio-ready output, it mangles audio and generates unpredictable sounds meant for experimental musicians who want something genuinely strange. It's a refreshing reminder that not every AI tool is chasing perfection.
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