
The internet has a trust problem, and it’s not just because social media feeds are filling up with AI slop. AI-generated text and images are now making their way into job applications, product reviews, and even insurance claims, leaving platforms and users alike scrambling to figure out what’s real. A handful of startups have cropped up in the past couple of […]
The internet faces a trust problem as AI-generated text and images spread into job applications, product reviews, and insurance claims, making it difficult to distinguish real content from artificial content. Several startups have emerged to provide AI detection systems as a "trust layer" for the internet. One such startup recently secured funding and partnered with a major platform to show readers which authors use AI in their writing, while also releasing new tools to detect AI-generated images. The challenge of AI detection extends beyond simply identifying fake versus real content, involving questions about where to draw lines between AI-assisted and AI-generated work.

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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