Practical AI engineering publication: LLM inference cost audits, serving math, eval methodology, and tool reviews with verifiable numbers.
PastAGI is a content site publishing guides, tool reviews, engineering deep dives, use-case teardowns, and news analysis covering AI systems and infrastructure. Topics span AI hardware and inference chips, model training and serving economics, reasoning transparency, agent security and data leakage, watermarking, evaluation, and reviews of specific models and tools. Content is organized into Guides, Tools, Engineering, Use Cases, and News sections, with an archive and search.
The site is aimed at engineers and builders working with AI systems who want technical, hands-on analysis rather than general-audience coverage. It offers a newsletter for new posts and an RSS feed.
It is aimed at AI builders and engineers, offering practical guides, tool reviews, and engineering analysis that cuts through AI hype.
You can subscribe to its email newsletter or follow its RSS feed to get new posts.
The page content does not mention any pricing or paywall for reading the site's articles.
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