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AI needs young developers – and old developers
Enterprises are increasingly investing copious amounts of cash in AI without a lot to show for it. This could be, in part, because the wrong people are leading the change. As I’ve argued before, AI isn’t likely to eliminate developers so much as change what we need...
33 LLM metrics to watch closely
We’ve all heard the mantra from the quants in the business community: you can’t manage what you can’t measure. And if that’s true for human intelligence, it should be true for the artificial kind too. How do we measure agents and large language models (LLMs)? We’re...
Google unveils DiffusionGemma, an AI model that breaks free of left-to-right processing
Extremely powerful large language models (LLMs) still operate as though they’re typing on a keyboard, processing workloads in a simple left-to-right fashion. But in locally-run, single-user scenarios, this sequential processing can leave graphics processing units...