DeepMind's Nikolay Savinov says 10M-token context windows will transform how AI works. AI will ingest entire codebases at once, becoming "totally unrivaled… the new tool for every coder in the world." 100M is coming too -- and with it, reasoning across systems we can't yet imagine.

Google DeepMind Staff Research Scientist Nikolay Savinov on Release Notes podcast with Logan Kilpatrick:

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Systems we can’t yet imagine … just got a delicious chill down my spine

Anyone who used cursor or a similar tool knows this Its just as important as the quality of the model itself It should be the next step a proper 10 million context window model that doesn’t cost 100 dollars

Yep, that’s the shit I’m waiting for, ultimatum cause will be getting completely automated by AI….

With larger context windows the skill gaps in usage will only continue to grow, companies will likely use X to find talent in this space more than LinkedIn. Seems X is the home of the most competent users of AI.

@MirraTerminal check this out

Revolutionäre KI-Lösungen? Das ist DIN. 🤖🌍 @din_lol_ GODIN

Intelligent nodes go brrr 💨💻 @din_lol_ GODIN

Тримаймо діамантові руки 💎🙌, поки ціни зростають! @din_lol_ GODIN

I feel Gemini is struggling to hold context of 1 Million tokens. Sometimes it goes out of context. This is based on my day to day personal coding experience. How come will it handle 10 M or 100 M? Anyways excited to try it out