{"data":{"id":"f5b81db7-fea6-4b31-b1a1-7a76a4c3967a","title":"The Download: a new Christian phone network, and debugging LLMs","summary":"Goodfire, a San Francisco startup, released Silico, a tool that uses mechanistic interpretability (a technique for understanding how AI models work by mapping their internal neurons and connections) to let researchers see inside AI models and adjust their parameters during training. The tool aims to give developers more control over AI behavior by exposing internal 'knobs and dials' so they can reduce unwanted outputs, making AI development more like traditional software engineering rather than trial-and-error.","solution":"The source describes Silico as the solution itself—it uses mechanistic interpretability to map neurons and pathways inside a model and lets developers tweak them to reduce unwanted behaviors or steer outputs. No additional mitigation steps or fixes beyond using this tool are mentioned in the text.","labels":["industry","safety"],"sourceUrl":"https://www.technologyreview.com/2026/05/01/1136762/the-download-christian-phone-network-debugging-llms/","publishedAt":"2026-05-01T12:10:00.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"news","affectedPackages":null,"affectedVendors":["OpenAI"],"affectedVendorsRaw":["OpenAI","Grok","xAI","DeepSeek","Goodfire"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2026-05-01T12:10:00.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["safety","integrity"],"aiComponentTargeted":"model","llmSpecific":true,"classifierConfidence":0.75,"researchCategory":null,"atlasIds":null}}