
Installing a large language model on your personal computer gives you a handy digital assistant that won’t compromise your data privacy.
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Large language models that power popular AI chatbots can be installed and run locally on personal computers rather than accessed through cloud-based services. Running a local LLM offers key benefits including offline access, greater data privacy since nothing is sent to external servers, and no monthly subscription fees, though the models available for free download tend to be less advanced than paid versions. Setting up a local LLM requires sufficient computer memory (at least 8 GB of RAM, with more being beneficial) and optionally a dedicated graphics card, along with free software like LM Studio that acts as the interface to run the downloaded model. While local LLMs involve more maintenance than using standard apps and lack some convenience features, they provide a personalized and private AI system for everyday tasks like coding, writing, and summarizing.

While restaurant owners might look to generative AI as a shortcut to sprucing up their menu, customers can viscerally sense that something is wrong with the food.
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ChatGPT, Claude, and Grok all suffered outages at nearly the exact same time for reasons that remain murky.

Most teams building a shopping assistant or agent rebuild the same scaffolding: an agent loop, a tool layer over the catalog, an approval gate, and an eval suite. Anthropic has now released that scaffolding as code. This week, they published anthropics/commerce-agents, a reference blueprint containing a shopping agent and a merchant agent, along with four runnable verticals: retail, travel, telecom and entertainment. It ships alongside two write-ups: a product announcement and an engineering de
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