"I live in a former superintendent-occupied apartment in a prewar co-op in Manhattan. Although I signed a market-rate lease when I moved in, I later learned - with the help of AI tools - that my apartment might qualify as a "rent-stabilized" unit. New York is one of a handful of cities where rent increases can be limited by law, depending on the circumstances. This is known as rent stabilization."
"ChatGPT walked me through the document and said this type of situation is routinely evaluated by the New York State Division of Housing and Community Renewal, which oversees rent-stabilization and related rules in NYC. I told ChatGPT to show me its sources. It cited relevant provisions of the rent-stabilization code and several court decisions. AI can sometimes hallucinate, so I asked Perplexity and Google Gemini the same questions, as an initial way to double-check the facts."
A tenant in a former superintendent-occupied prewar Manhattan co-op discovered that a market-rate lease might conceal an underlying rent-stabilized status after reviewing the unit's rent-registration history. Rent stabilization in New York limits rent increases and allows landlords to charge more but within legal bounds. AI tools, including ChatGPT, Perplexity, and Google Gemini, were used to interpret registration documents, cite rent-stabilization code provisions and court decisions, and cross-check conclusions. The tools produced similar high-level findings but differed in reasoning, citation presentation, and conservatism, affecting the user's trust in their outputs.
Read at Business Insider
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