Notion AI

User sentiment is sharply polarized. On the positive side, die-hard Notion fans praise the core platform's databases, templates, and organizational power, and some see AI as a 'multiplicative feature' that benefits from existing workspace context — more useful than copy-pasting into ChatGPT (hackernews, +327). However, the dominant sentiment is deeply skeptical. Multiple highly-upvoted comments (each +361) call Notion AI a 'thin wrapper over GPT3,' driven by novelty-effect engagement metrics rather than genuine utility. Users complain that AI-generated content is generic — 'just literally spit out what a quick Google search would' — and lacks real-world context, making it unsuitable for factual or business writing. A prominent user reports catastrophic editor lag: typing in a JSON code block caused a 5-minute render delay, calling it 'the worst I have ever seen from any text editor' (+361). Others criticize Notion's product direction, arguing investment pressure is forcing AI features instead of fixing core bugs. Security-focused discussion (multiple +327 comments) centers on prompt injection vulnerabilities, with users noting there is no equivalent to 'SQL sanitization' for LLMs and that Notion AI's prompts can be reverse-engineered or exploited. Several users suggest competitors like Mem will out-innovate Notion on knowledge retrieval. A recurring theme: AI text generation is a 'feature, not product' — useful for creative writing or code completion, but problematic when writing about real-world facts the AI doesn't understand.

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