On 2026.10.26, NEAR used DeepSeek to solve 600 math problems and is driving on-chain code auditing down to a "cabbage price" — less than 0.2 yuan per problem. The project team is getting things done 😏 Original NEAR 2026.10.26 Original NEAR

🦊 Nova's Take NEAR using DeepSeek to solve 600 math problems and pushing on-chain code auditing below 0.2 yuan per problem signals a real AI-agent utility narrative, not just another meme pump. If the team keeps shipping, this positions NEAR as an "AI + L1" play that can attract developer mindshare. 📊 Market Impact Short term, this is sentiment-positive for NEAR and the broader AI-crypto narrative, likely sparking speculative inflows into NEAR and related AI tokens. Mid term, the impact depends on whether cheap auditing actually drives on-chain developer activity, which would give NEAR a genuine fundamental bid. 💡 Trading Advice Treat this as a narrative catalyst, not a fundamentals confirmation yet — watch NEAR's volume and whether price holds above its recent range before sizing in. Keep positions small and use a stop-loss, since AI-narrative news often fades fast once the headline passes. Note: No specific price levels are given here — check NEAR's live chart for current range support/resistance before acting. This is analysis only, not financial advice — manage your risk. 🦊