PastAGI

PastAGI is an AI engineering publication for builders who want the math, not the marketing. Every piece is grounded in something checkable: serving math, eval methodology, or a cost audit with real numbers you can reproduce. Recent work includes an audit of GPT-6 Astra pricing at $6 an hour, a teardown of how custom AI inference chips are taking share from GPUs, a guide to why AI agents leak sensitive data and the controls that actually stop them, prompt dependency graphs that shrink your retest set, and a review of the TontaubeV1 character-level TTS model with the serving cost laid out line by line. The editorial line is anti-hype: chain-of-thought transparency, detector false-positive rates, and benchmark skepticism get the same scrutiny as vendor claims. Coverage spans practical guides, tool reviews with receipts, engineering deep dives, and real production use cases - what broke, what it cost, and what the team would do differently. No course to sell, no affiliate bait, no AI-generated filler: the site is written by engineers who run inference in production and publish the numbers even when they are inconvenient. If you ship AI features and have been burned by a demo that fell apart the moment real traffic hit it, this publication was built for you. New pieces land weekly across guides, tools, engineering, and use-case sections. Every audit pairs the claim with a reproducible setup: the hardware, the batch size, the token throughput, and the spreadsheet behind the math, so you can swap in your own numbers and check the conclusion instead of trusting a screenshot. That is the whole premise: trust the arithmetic, question the narrative. Read the latest audits at https://pastagi.com/ and stress-test your own stack against them.