The Tragedy of the Agentic Commonskept by eddie • jan 21Simulations show AI agents improve matching market efficiency through better preference elicitation, but full adoption creates congestion that only a pricing mechanism can resolve.AboutBumble · Upwork · John Horton · Peng Shi · Whitney Wolfe Herd · GPTFiled#ai-agents#congestion#economics#market-design#matching-marketsRelatedTrain Your Own LLM from ScratchA hands-on workshop guides readers through building a ~10M-parameter GPT model from scratch in PyTorch, trainable on a laptop in under an hour.also on GPTHow did ‘large’ language models get that way? The role of Transformers and Pretraining in GPT - LessWrong 2.0 viewerThe transformer architecture and pretraining enabled enormous scaling of language models, making 'large language models' a fitting description.also on GPT
The Tragedy of the Agentic Commons