The core idea is to train Claude to explain its own activations. But how do we know whether an explanation is good? Since we don't know what thoughts an activation actually encodes, we can't directly check whether an explanation is accurate. So we train a second copy of Claude to work backwards—reconstruct the original activation from the text explanation. We consider an explanation to be good if it leads to an accurate reconstruction. We then train Claude to produce better explanations according to this definition using standard AI training techniques. In more detail, suppose we have a langua
Natural Language Autoencoders… It matches how we actually build practices and deploy teams. Enterprise AI needs to be powerful. The Claude Partner Network helps formalize and scale the work underway; the training, industry-focused solutions, and practical guidance for deploying AI. …
… We tackle this from multiple angles during Claude’s training. First, we construct training scenarios that place Claude in ambiguous situations, and then reinforce Claude’s choice to pause, rather than to assume. …
… We then train Claude to produce better explanations according to this definition using standard AI training techniques. In more detail, suppose we have a language model whose activations we want to understand. …
… The largest professional-services firms in the world are building their own practices around Claude — putting it into production for clients while getting it into the hands of their own people. Accenture is training 30,000 professionals on the model. …
… Just as computers took on the task of computation, AI is now taking on parts of cognition . As a side effect of this shift, work that used to require years of specialized training can increasingly be done more quickly and cheaply with AI. …
… Developers then shape that further through training—choosing which patterns to reinforce, which to set aside, and what kind of character we want them to develop . This raises questions about how the character of an AI system should be shaped: What does it mean for an AI to be good? …
… The investment reaches leadership too: earlier this year at PwC's Advisory Leadership Exchange, more than 5,000 leaders saw the alliance up close, with hands-on training enabling a wave of early adopters to apply Claude Code to client workflows. …
… The difference between the groups is the “uplift”—the advantage if any provided by AI. Measuring uplift tells us about the present ability of AI to augment human performance. It’s also suggestive of the future domains in which AI will be able to successfully perform tasks on its own. …
… Expert implementation support : Tailored onboarding, training, and best practices for rapid value realization. …
… With the supply of compute expanding rapidly, and with AI being used increasingly to augment the training of new AI models, we’re entering a period of great acceleration in AI capabilities. …