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Our AI for chip design method AlphaChip has transformed the way we design microchips. ⚡ From helping to design state-of-the-art TPUs for building AI models to CPUs in data centers - its widespread impact can be seen across Alphabet and beyond. Find out more →

771,435 次观看 • 2 年前 •via X (Twitter)

9 条评论

Paul Calcraft 的头像
Paul Calcraft2 年前

Is anyone even halfway close to DeepMind on reinforcement learning? The amount of high impact research they put out in this space is insane. If there's a plausible objective function, and any scientific interest or value in it, they're going to solve it. (Except LLMs!?)

AI Notkilleveryoneism Memes ⏸️ 的头像
AI Notkilleveryoneism Memes ⏸️2 年前

Hey @ericschmidt, you said once AIs begin to recursively self-improve, we should unplug them. AlphaChip generates superhuman chip layouts which AI itself runs on, leading to more powerful AI, leading to... So, it's time to shut it all down now, right?

Jeremy 的头像
Jeremy2 年前

This is even cooler because there's evidence that top AI labs keep their best research private. If this is what they're cooking publicly, what do they have behind the scenes?

xxXX_1984JoeBidenGeorgeSorosChuckSchumer_1984_XXxx 的头像
xxXX_1984JoeBidenGeorgeSorosChuckSchumer_1984_XXxx2 年前

just a fad though right guys

Shawn Chauhan 的头像
Shawn Chauhan2 年前

Google is leading the charge in the quest for AGI

randy 的头像
randy2 年前

Feedback loop inc

Tech Renamed e/acc 的头像
Tech Renamed e/acc2 年前

Ai making ai..making ai,ai,ai God I love ai and llms thank you deepmind :) I salute to you 🫡🫡 thanks for accelerating ai progress further

Ed Sealing 的头像
Ed Sealing2 年前

Why doesn't Google sell physical TPUs? They could have been larger than nvidia in that market. I use a Coral TPU at my house for object detection and the power to inference speed is fantastic, and its an old crappy version. The business decisions here are mind boggling

Web3Aible 的头像
Web3Aible2 年前

The slow but steady ones will surely win the race.

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