Most enterprise AI projects do not fail because the model is bad. They fail because the data feeding it is a mess: broken pipelines, mismatched systems, and context locked in one engineer’s head.

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Companies are shifting from running everything on the most powerful AI model to matching each task to the right one, a practice called model routing. The pressure for efficiency comes as large ...

Key insight: Agentic AI systems can appear to be so perfect that they lull the people tasked with reviewing them into a false sense of security, which leads to undetected errors. Expert quote: "If ...

On Tuesday, Donald Trump finally signed his executive order expanding the government’s efforts to conduct voluntary safety testing of frontier AI models. Now, critics are warning that the order may be ...

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The latest flare-up in the debate over AI-assisted coding did not come from a new model release or a benchmark result. It came from a single line of text buried inside a software update. Earlier this ...

Amazon's AI leaderboard sparked a tokenmaxxing trend that raised concerns about AI usage metrics, workplace productivity, and how companies measure the success of AI tools. Joshua Brown/Pexels ...

Basically every recent, high-profile accusation of someone passing off AI-generated writing as their own has started in the same way: with a tool called Pangram. In March, when a horror novel from a ...

It started almost by accident. At my startup Dwelly, I constantly push the limits of what AI tools can actually do. One day I just typed into a chat: “Can you prove P ≠ NP?”—referring to the problem ...

How I used to love to pepper my early writing with words like "ubiquitous" and "nascent." They certainly made me feel better, but contributed little to the communication. And I clearly remember being ...