No technical specifications or release timelines were shared.
Pre-training cycles for frontier models typically require extended periods on massive compute clusters before any public benchmarks or demos appear, so the current announcement leaves the timeline and final capabilities entirely open.
Developers watching the Gemini API and AI Studio track these pre-training notes for hints about future model access tiers and feature roadmaps, even when concrete rollout details remain absent.
Users are excited about Gemini 4 pretraining because it marks a huge step that makes the AI progress feel more tangible and impressive.
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Dang, Tibo still chooses war.
@rezoundous Gemini
@kimmonismus that passive aggressiveness feels like it’s an internal slack. iykyk
@kimmonismus tibo never misses a chance to joke but seriously gemini 4 pretraining is a huge step and seeing the back and forth makes it feel more tangible
@kimmonismus One day he will say Gemini Gemini Gemini Gemini 😂
@kimmonismus Tibo is OpenAI's best CM
@kimmonismus just friends having fun here 🤷
@kimmonismus This back-and-forth is getting spicy. Gemini 4 pretraining sounds like a real flex though.
@kimmonismus openai was always like “ come one show us what you can do, and when we will show what we can, will see who survives next “
@kimmonismus last stage of gemini
@kimmonismus I love the banter but feels bad for some reason 😆