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Why is OpenAI so much more efficient?
OpenAI's models traditionally score higher on coding benchmarks using a FRACTION of the tokens of other models, especially Gemini's 250k per task average, and that's the benefit of the "Grug speak" theory of model efficiency that was leaked in certain GPT 5.5 reasoning traces. Ya'll said you missed technical deep dives so here's one for you ...
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Disini gue nunjukin cara bikin aplikasi seorang diri dan zero coding, semua by AI. Mulai dari design di Google Stitch, export via MCP, lanjut ke Antigravity, lalu AI bantu baca layout dan slicing jadi tampilan app. Yang menarik, kita nggak mulai dari blank screen. Kita mulai dari ide, jadi UI, lalu dieksekusi pelan-pelan sampai bisa dites di app. Workflow kayak gini bikin proses build mobile app terasa lebih cepat, lebih visual, dan lebih seru buat diexplore. Masih banyak yang bisa dikembangin,
1:18
Disini gue nunjukin cara bikin aplikasi seorang diri dan zero coding, semua by AI. Mulai dari design di Google Stitch, export via MCP, lanjut ke Antigravity, lalu AI bantu baca layout dan slicing jadi tampilan app. Yang menarik, kita nggak mulai dari blank screen. Kita mulai dari ide, jadi UI, lalu dieksekusi pelan-pelan sampai bisa dites di app. Workflow kayak gini bikin proses build mobile app terasa lebih cepat, lebih visual, dan lebih seru buat diexplore. Masih banyak yang bisa dikembangin,
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