Google's Gemini Argon Is #1 On A Leaderboard. It Hasn't Passed The Benchmark That Matters.

Gemini 4 Argon tops the Vals Index, and almost no one can use it yet. Benchmarks won't tell you which AI is useful. Customer obsession will, and it's the same test for the AI your company is building. Full post: https://natesnewsletter.substack.com/p/gemini-4-argon-customer-benchmark?utm_source=youtube&utm_medium=video&utm_campaign=gemini-4-argon-customer-benchmark-launch&utm_content=description Nate's Library MCP (every prompt kit, article, and guide, inside the AI you already use): https://unlock-ai.natebjones.com/guides/how-to-connect-nates-library?utm_source=youtube&utm_medium=video&utm_campaign=gemini-4-argon-customer-benchmark-launch&utm_content=description My Links 🔗 👉🏻 Newsletter: https://natesnewsletter.substack.com/?utm_source=youtube&utm_medium=video&utm_campaign=gemini-4-argon-customer-benchmark-launch&utm_content=description 👉🏻 X: https://x.com/natebjones 👉🏻 TikTok: https://www.tiktok.com/@nate.b.jones 👉🏻 Instagram: https://www.instagram.com/nate.b.jones What's really happening with AI benchmarks and the products people use? The common story is that the model with the best benchmark wins, but the real question is who it's built for and whether they can use it. In this video, I share the inside scoop on why customer obsession is the new AI benchmark: - Why a leaderboard win tells you little about real usefulness - What running my subscriptions through dots and Muse showed me - How to build AI products you would want to use yourself - Why the next AI products need to move past the chatbot The models aren't the bottleneck anymore, which is good news for teams that use their own products and fix what breaks and a warning for anyone counting on leaderboard wins. Chapters: 00:00 Benchmarks are dead 00:30 Which customers each AI lab serves 02:14 Making money when the model keeps changing 03:52 Running my subscriptions through dots and Muse 06:05 741 books from 20,000 likes and bookmarks 07:05 Room for many AI winners 08:09 Build something you would want to use 09:23 The tyranny of the chatbot 10:45 A parent, a toy, and Muse 12:55 26 agent use cases in three months 13:34 The product experience is the bottleneck 14:45 Rumored Fable 5.5 and Anthropic's enterprise focus Listen to this video as a podcast. Spotify: https://open.spotify.com/show/0gkFdjd1wptEKJKLu9LbZ4 Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-news-strategy-daily-with-nate-b-jones/id1877109372