Can Google Antigravity 2.0 Pass the "Napkin Challenge"? ππ
Google's Antigravity 2.0 successfully completed the 'Napkin Challenge' by autonomously building a real estate investment advisor from a simple sketch. The process took under 40 minutes with zero human input beyond initial approval. This demonstrates the potential of combining advanced AI models with the right context to rapidly develop functional applications.
- βͺAntigravity 2.0 and Gemini 3.5 were used to create a real estate investment advisor from a napkin sketch.
- βͺThe project was completed in under 40 minutes with no human intervention aside from initial approval.
- βͺThe advisor provided data-driven analysis on investments and passed all evaluation tests.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3596246) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Shir Meir Lador for Google AI Posted on May 27 Can Google Antigravity 2.0 Pass the "Napkin Challenge"? ππ #antigravity #napkinchallenge #autonomousagents #gemini π From Napkin Sketch to data-driven real-estate advisor Agent in Under 40 Minutes? π Can a coding agent really work autonomously on complicated problems without human intervention? I decided to put Googleβs new Antigravity 2.0 and Gemini 3.5 to the test: The Napkin Challenge.
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