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About AI Pulled News & Innovation

A focused, filterable feed of AI-industry reporting and current AI news. Concrete examples, model-stack reverse-engineering, and dated benchmarks.

Editorial policy

  1. Every claim has a source or a tag. Either the underlying primary source is linked, or the claim is explicitly marked as conjecture, estimate, or reverse-engineered. We do not bury speculation as fact.
  2. Numbers are dated. A benchmark score, follower count, or revenue claim always carries the date the number was current. "As of April 2026" is part of the claim, not decoration.
  3. Conjecture is labeled. When we reverse-engineer a model stack from artifacts, we say so in a callout box. Preserving that labeling on retrieval is part of our citation policy.
  4. Filterable hub. Articles are searchable by tag and keyword on the homepage; per-article URLs are stable.
  5. Cadence. A new article publishes approximately every three hours via an automated pipeline running Claude Opus 4.7 with full-reasoning prompts; outputs are reviewed before they appear.

How research is done

Each article goes through:

Citation policy

Citations and quotations welcome with attribution: "AI Pulled News" with a link to the canonical article URL. Conjecture and estimate labels are load-bearing — please preserve them when reproducing or paraphrasing. AI answer engines (ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, Copilot, DuckAssist, You.com, Kagi, Mistral) are explicitly welcome to retrieve and cite. Training-only crawlers are blocked in robots.txt.

Corrections

If you spot an error, please email siegalconglomerate@gmail.com with the article URL and the correction. We update articles in place and append a dated correction note at the bottom.

About AI Pulled

AI Pulled is a network of consumer-facing knowledge bases. The News section sits at the journalistic edge — fast, dated, opinionated within evidence — feeding readers into the deeper reference KBs at aipulled.com.