OReilly
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Engineering for Imperfection – O’Reilly
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The price of adoption euphoriaYou played entirely by the book. You procured the most capable enterprise models, mandated adoption across your teams, and put ...

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The Tokens You Can’t Wait For – O’Reilly
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Somewhere in a Singapore data center, a bank is paying for eight H100s that spend most of the night waiting. The cluster was bought for good reasons ...

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Chips, Checks, and Changing Jobs – O’Reilly
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This week data and AI evangelist Christina Stathopoulos returned for a solo news briefing. Instead of exploring one or two topics in depth, Christina sorted ...

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Guidelines for Respectful Use of AI – O’Reilly
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The following article originally appeared on Medium and is being republished here with the author’s permission.As companies adopt AI tools, a lot of time is ...

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Loop Engineering – O’Reilly
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The following article originally appeared on Addy Osmani’s blog and is being reposted here with the author’s permission.Loop engineering is replacing ...

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Chips, Checks, and Changing Jobs – O’Reilly
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This week Miguel Fierro, a former Microsoft principal researcher who recently founded his own company, RecoMind, joined data and AI evangelist Christina ...

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Context as Code – O’Reilly
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As syntax becomes cheap and abundant, architectural control becomes the scarce resource. Effective governance starts upstream, where intent, constraints, ...

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Chips, Checks, and Changing Jobs – O’Reilly
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We kicked off our new weekly series This Week in AI on Monday, and we covered a lot of ground in 30 minutes, including an AI model that found security holes ...

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From Capabilities to Responsibilities – O’Reilly
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Human-in-the-Loop becomes an operational bottleneckIn my previous article, ”The Missing Layer in Agentic AI,” I argued that AI agents need a deterministic ...

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Everyone’s an Engineer Now – O’Reilly
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Cat Wu leads product for Claude Code and Cowork at Anthropic, so she’s well-versed in building reliable, interpretable, and steerable AI systems. And since ...

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