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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.

261,606 次观看 • 1 年前 •via X (Twitter)

11 条评论

vitrupo 的头像
vitrupo1 年前

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

The Rundown AI 的头像
The Rundown AI2 年前

AI won't replace you, but a person using AI will. Join 500,000+ readers and learn how to use AI in just 5 minutes a day (for free).

Charli 的头像
Charli1 年前

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

Formerly GiannisWorld 的头像
Formerly GiannisWorld1 年前

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

EDITH 的头像
EDITH1 年前

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

Mehkhi 的头像
Mehkhi1 年前

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.

Mr C.O.D 🦅💰 的头像
Mr C.O.D 🦅💰1 年前

@MirraTerminal check this out

ijaz bibi 🌳 的头像
ijaz bibi 🌳1 年前

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

ijaz bibi 🌳 的头像
ijaz bibi 🌳1 年前

Intelligent nodes go brrr 💨💻 @din_lol_ GODIN

ijaz bibi 🌳 的头像
ijaz bibi 🌳1 年前

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

Arunachalam B 的头像
Arunachalam B1 年前

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

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