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In 2015, AI hallucinating was the whole point. 🌀 This is DeepDream, running on VGG16. You hand a neural network an image and tell it to exaggerate whatever it thinks it sees. Then you make it do that over and over, each pass building on the last. 🔁 It finds eyes and creatures everywhere 👁️ because it learned to see from ImageNet, a dataset of 1,000 categories packed with animals (about 120 are dog breeds alone 🐕). Ten years later, the same behavior has a less fun name: hallucination. And we spend a lot of engineering effort stopping it. 🛠️ Same thing underneath, just a different job.

this paper should scare every agent framework out there researchers took apart 11 coding agents straight from the source code claude code codex gemini cli openhands aider and more roughly 4 million lines not one of them imports a langchain style framework not one of them searches code with embeddings 9 out of 11 already ship skill.md then a second paper went further and let a loop write the harness the model stays frozen a debugger agent reads every failed run an evolve agent edits the harness files the next round keeps the edit or rolls it back 10 rounds later a one tool seed went from 69.7% to 77.0% on terminal bench 2 the codex harness people built by hand sits at 71.9% craziest part editing only the system prompt made it worse all the gains came from memory, tools and middleware agent = model + harness the model takes the bow the harness does the work drop claude fable 5.2 in that frozen seat and the loop rewrites everything around it both papers in the reply