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The AI Update Trap
How-ToMachine Learning

The AI Update Trap

via Dev.toTim Green4h ago

The game changed in May 2025 when Anthropic released Claude 4 Opus and Sonnet, just three months after Google had stunned the industry with Gemini 2.5's record-breaking benchmarks. Within a week, Anthropic's new models topped those same benchmarks. Two months later, OpenAI countered with GPT-5. By September, Claude Sonnet 4.5 arrived. The pace had become relentless. This isn't just competition. It's an arms race that's fundamentally altering the economics of building on artificial intelligence. For startups betting their futures on specific model capabilities, and enterprises investing millions in AI integration, the ground keeps shifting beneath their feet. According to MIT's “The GenAI Divide: State of AI in Business 2025” report, whilst generative AI holds immense promise, about 95% of AI pilot programmes fail to achieve rapid revenue acceleration, with the vast majority stalling and delivering little to no measurable impact on profit and loss statements. The frequency of model rele

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