{"data":{"id":"16c050d6-af99-47c8-910e-f6730859b9fc","title":"How NVIDIA engineers and researchers build with Codex","summary":"NVIDIA engineers and researchers use Codex, an AI coding tool built on GPT-5.5, to automate complex engineering tasks and machine learning research workflows. The tool can work autonomously for long sessions, finding bugs and writing code that earlier models couldn't, and has enabled teams to build production systems and run experiments much faster than before. Codex integrates with remote infrastructure (SSH, or secure shell protocol, which lets users securely connect to distant computers) and can even test its own code as it's being built.","solution":"N/A -- no mitigation discussed in source.","labels":["industry"],"sourceUrl":"https://openai.com/index/nvidia","publishedAt":"2026-05-12T00:00:00.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"news","affectedPackages":null,"affectedVendors":["OpenAI","NVIDIA"],"affectedVendorsRaw":["OpenAI","Codex","GPT-5.5","NVIDIA"],"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":"2026-05-12T00:00:00.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":"agent","llmSpecific":true,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null}}