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Articles about AI slop from podcasts, articles and papers, with links to the original sources.
On The Diary of a CEO, writer Ed Zitron described catching an invented Microsoft share price in his Bloomberg terminal, then argued that his editor Matt Hughes — not a benchmark number — is what makes an answer trustworthy. The host pushed back: buyers pay for the output, not the process, and the honest comparison is AI against fallible people rather than perfection.
On Training Data, Parag Agrawal explains how his company Parallel entered web search without first building a giant index: it launched a search agent that crawled after a request arrived, replaced outsourced human data collection for insurance, sales and finance customers, and treated the index as a latency optimization to be grown later. He describes the agent-specific architecture behind it, the 200-millisecond Turbo mode Parallel announced in July, and a Google Cloud deal that puts Parallel Search beside Google Search as a grounding option.