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Beyond grep: The case for a context-rich AI coding harness

There are a lot of AI coding applications out there, and as impressive as large language models and the agents they enable have become, many of the most recent developments in AI-assisted development have been in the software that manages those models, not just the models themselves.

Earlier this summer, I spoke with the head of product for Claude Code, Anthropic's Cat Wu, about that company's approach to building that software.

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Engineer identifies and explains every '90s computer seen in Jurassic Park

Jurassic Park, while beloved as a film, has been the subject of snarky memes for the infamous line in which one of the characters declares, "This is a Unix system, I know this!" while using a computer with an unusual 3D file manager interface.

Despite the memes, the film's production team was meticulous in accurately sourcing the right PCs (and adjacent details) for the setsβ€”not too much of a surprise, given writer Michael Crichton's background with computing and his obsessive attention to detail in the book the film is based on.

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Simulating everything, sort of: The promise and limits of world models

Over the past few years, many of us have gotten a crash course in what we now call artificial intelligenceβ€”but really, it has mostly been a crash course in large language models. Increasingly, however, LLMs are no longer the only category of AI drawing high expectations, massive funding rounds, and significant research and product development.

Over the past year, we've seen a plethora of new announcements in a category labeled "world models," and you'll likely see more movement there in the coming months and years.

Instead of or in addition to working with language, world models aim to lay the groundwork for AI systems that are capable of simulating the physical world, or at least a useful approximation of it.

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Β© Aurich Lawson | Getty Images

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Facing US export controls, China's DeepSeek plans to make its own chips

DeepSeek, the Chinese startup developing large language models that are competitive with those from US companies like OpenAI and Anthropic, is planning to enter the silicon business, according to Reuters.

Citing three people familiar with the matter, Reuters writes that DeepSeek has been working on a move into silicon for about a year. It has been meeting with potential partners in the hardware and silicon space and has been hiring engineers for the project.

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