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We also applied AlphaEvolve to over 50 open problems in analysis ✍️, geometry 📐, combinatorics ➕ and number theory 🔂, including the kissing number problem. 🔵 In 75% of cases, it rediscovered the best solution known so far. 🔵 In 20% of cases, it improved upon the previously best...

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Google DeepMind

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95,738 görüntüleme • 1 yıl önce •via X (Twitter)

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Google DeepMind profil fotoğrafı
Google DeepMind1 yıl önce

Introducing AlphaEvolve: a Gemini-powered coding agent for algorithm discovery. It’s able to: 🔘 Design faster matrix multiplication algorithms 🔘 Find new solutions to open math problems 🔘 Make data centers, chip design and AI training more efficient across @Google. 🧵

Google DeepMind profil fotoğrafı
Google DeepMind1 yıl önce

Our system uses: 🔵 LLMs: To synthesize information about problems as well as previous attempts to solve them - and to propose new versions of algorithms 🔵 Automated evaluation: To address the broad class of problems where progress can be clearly and systematically measured. 🔵 Evolution: Iteratively improving the best algorithms found, and re-combining ideas from different solutions to find even better ones.

Google DeepMind profil fotoğrafı
Google DeepMind1 yıl önce

Over the past year, we’ve deployed algorithms discovered by AlphaEvolve across @Google’s computing ecosystem, including data centers, software and hardware. It’s been able to: 🔧 Optimize data center scheduling 🔧 Assist in hardware design 🔧 Enhance AI training and inference

Google DeepMind profil fotoğrafı
Google DeepMind1 yıl önce

We applied AlphaEvolve to a fundamental problem in computer science: discovering algorithms for matrix multiplication. It managed to identify multiple new algorithms. This significantly advances our previous model AlphaTensor, which AlphaEvolve outperforms using its better and more generalist approach. ↓

Google DeepMind profil fotoğrafı
Google DeepMind1 yıl önce

We’re excited to keep developing AlphaEvolve. This system and its general approach has potential to impact material sciences, drug discovery, sustainability and wider technological and business applications. Find out more ↓

GC profil fotoğrafı
GC1 yıl önce

@kevinsekniqi does this count

Hashir Omer Farooqi profil fotoğrafı
Hashir Omer Farooqi1 yıl önce

*In 75% of cases, it rediscovered the best solution known so far.* If we don't have a proof that our best solutions are optimal, this 75% is a good evidence of memorization or training bias.

tumin~ profil fotoğrafı
tumin~1 yıl önce

I'm feeling insecure

Roman Leventov profil fotoğrafı
Roman Leventov1 yıl önce

This NotebookLM style is unbearable. Please don't use it for public posts like this

3THER_ profil fotoğrafı
3THER_1 yıl önce

Nice touch using notebookLM podcast for the explanation - I see what you did there ;D

Ciprianii profil fotoğrafı
Ciprianii1 yıl önce

applause

Achesui profil fotoğrafı
Achesui1 yıl önce

@grok explain this for a simple human being with low self-steem and with around 70 IQ, why is this important?

Oded Ben Dov 🧬 profil fotoğrafı
Oded Ben Dov 🧬1 yıl önce

I need this for a missing piece of an P=NP proof. PLEASE

bry257 profil fotoğrafı
bry2571 yıl önce

@gork holy shit look at this

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