Uploaded June 2026 | Updated September 2026, 2 weeks ago
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 nerds.
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S/O @Ph4seon3 for the awesome edit 🙏
#ai #coding #programming
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 nerds.
Thank you Browserbase for sponsoring! Check them out at: soydev.link/browserbase
Want to sponsor a video? Learn more here: soydev.link/sponsor-me
Check out my Twitch, Twitter, Discord more at t3.gg
S/O @Ph4seon3 for the awesome edit 🙏
#ai #coding #programming
