GPT-6 Astra rewired a small AI from the inside and lifted its math score from 7.9% to 48.1% MIT researchers handed OpenAI's GPT-6 Astra the raw numbers inside a small Qwen model, its weights, and asked it to make the mod

🤖 The newest AIs can now write another AI by hand. Older ones score close to zero On Monday, MIT researchers showed AI models editing another model's weights directly, with no training. Alex Krentsel, a Berkeley PhD researcher, reran one of their tests on older and newer models. Each model had to write all the numbers inside a small network that plays the Atari game Breakout, in a single reply, with no training and no tools. The yardstick is a network trained by trial and error for 500 million steps. GPT-6 Astra's network scored 22 times what that yardstick got. Claude Opus 5.5 hit 20x, GPT-6.1 Sol 18x. GPT-5 to GPT-5.5 and Opus 4.5 to 4.8 didn't even reach the yardstick. Krentsel calls it "a new, step-change emerging capability that's appeared in just the latest set of models." His own caveat: the network is tiny, 20,486 parameters, while frontier models have around a trillion. On top open-weight models it hasn't worked so far. @aipost 🏴