Daice Labs’ Post

The Algorithm That Gets Worse To Get Better. In 2021, Google announced its AI could design computer chips better than human engineers. Two years later, someone ran the same experiment and Google's billion-parameter system had been beaten by an algorithm from 1983 that uses less compute and finishes sooner. The algorithm is called simulated annealing, and its secret is strange: it sometimes accepts a worse solution on purpose, controlled by a temperature that gradually drops until the search commits. That willingness to get worse before getting better is what lets it escape the traps that stop every greedy method cold, and it turns out to be the same principle running quietly through neural network training, language model generation, compiler optimization, and security testing.  We wrote an interesting and thorough dive on this topic. 🔗 Full research note here: https://lnkd.in/gWzuCEr2 #AI #MachineLearning #DeepLearning #Optimization #SoftwareEngineering #NeurosymbolicAI #AlgorithmDesign #DeepTech #daiceLabs