Applied Gen AI for Analytics, Data Science & Business

Google Antigravity just launched. For analysts and data scientists: If you're already on Cursor/Claude Code, this gives you an extra option when you hit message limits. If you're just starting with AI coders, this is the easiest entry point I've seen.   Free agentic IDE with Gemini 3 Pro, Claude Sonnet 4.5, and GPT-OSS built in. Built on top of VS Code. One-click install with pretty good rate limits.   I've been testing it for low & medium complexity tasks. Solid performance

"𝘌𝘹𝘦𝘤𝘶𝘵𝘦 𝘈𝘚𝘈𝘗. 𝘈𝘱𝘱𝘳𝘰𝘷𝘢𝘭 𝘨𝘳𝘢𝘯𝘵𝘦𝘥. 𝘎𝘰𝘰𝘨𝘭𝘦 - 𝘢𝘨𝘢𝘪𝘯𝘴𝘵 𝘔𝘪𝘤𝘳𝘰𝘴𝘰𝘧𝘵 & 𝘔𝘦𝘵𝘢 past 15 𝘺𝘦𝘢𝘳𝘴, 𝘣𝘦𝘯𝘤𝘩𝘮𝘢𝘳𝘬 𝘷𝘴. 𝘚&𝘗 500, 𝘵𝘦𝘤𝘩𝘯𝘪𝘤𝘢𝘭𝘴 & 𝘲𝘶𝘢𝘳𝘵𝘦𝘳𝘭𝘪𝘦𝘴 𝘧𝘰𝘳 𝘢𝘭𝘭 𝘵𝘩𝘳𝘦𝘦." That's the prompt.   Pass it on to my Quants Agent at quants.tigzig.com Get the full report pack: PDF, HTML and CSV for offline analysis.   Be patient. Takes around 2 mins to generate the full set.   - What you get: Security Perform

Gemini 3 Pro Added to Database AI Suite. Tested Against Claude Sonnet 4.5 and GPT-5.1. Results: Claude still leads. GPT-5.1 is solid. Gemini 3 Pro lands third. ▪️ Performance Scores Multi-step database analysis workflows: Claude Sonnet 4.5: 115 GPT-5.1: 100 Gemini 3 Pro: 90 90-tier: Gemini 2.5 Pro, GPT-4.1, KIMI 2 Thinking 85-tier: Gemini 2.5 Flash, Qwen 3 Max, GLM 4.6, DeepSeek R1 80-tier: Gemini 2.0 Flash ▪️ Model Findings - Claude Sonnet 4.5: Creates multiple segmentation

Two models added to Database AI Suite this week: GPT-5.1 and KIMI 2 Thinking. KIMI 2 Thinking is close to Gemini 2.5 Flash in quality. Costs are higher and more volatile. GPT-5.1 is 20% cheaper than GPT-5 for database execution. Token bloat is down. Default reasoning set to none instead of medium. For advanced analysis planning (single API call, reasoning step): → Gemini 2.5 Flash: strong quality, predictable costs → KIMI 2: similar quality, cost are higher and more volatile