{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/69ab3b7c7036d739021982df/6a90ad2bd3e4bd9041774d00?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"How I Fight AI Brain Rot Without Using AI Less","description":"<p>Most AI tools are designed to remove friction. Nate Jones argues that a more powerful use is to create productive friction: push an idea through disagreement, comparison, testing, and other people until both the work and the person doing it improve.</p><p><br></p><p>In this episode, Nate explores what MIT research does and does not say about AI and cognition, why Claude Code expertise changes the way people use a model, how a convincing output can conceal the wrong source data, and why the point is not to become a meat puppet for AI.</p><p><br></p><ul><li>Why effortless output is not the same as better thinking</li><li>How disagreement can become a rep for your brain</li><li>What experienced Claude Code users do differently</li><li>Why a polished result can hide a bad source</li><li>How to test an AI's boundaries with other models and trusted people</li><li>Why the best workflow is designed to push back on you</li></ul><p><br></p>","author_name":"Nate B. Jones"}