{"version":1,"type":"story","url":"https://digestai.news/story/opinion-exploring-aiir-an-intermediate-language-for-chatgpt-and-grok","json":"https://digestai.news/story/opinion-exploring-aiir-an-intermediate-language-for-chatgpt-and-grok.json","markdown":"https://digestai.news/story/opinion-exploring-aiir-an-intermediate-language-for-chatgpt-and-grok.md","slug":"opinion-exploring-aiir-an-intermediate-language-for-chatgpt-and-grok","headline":"Opinion: exploring AI‑IR, an intermediate language for ChatGPT and Grok","summary":"The author describes a workflow where they copy ChatGPT’s output into Grok and back, using the two models as investigator and auditor. This manual hand‑off raised the question of whether a human language such as Japanese is required when the information is only exchanged between AIs.\n\nAn experiment was run using a Japanese article about gold‑buying conditions. ChatGPT transformed the prose into a compact tag‑based format (e.g., @DEFINE AU=金, C1|GEO↑ = AUDEMAND↑) that encodes facts, inferences, triggers and causal links. Grok then restored the tags to readable Japanese, preserving the logical structure while changing the surface wording. The author argues that the benefit is not merely token compression but a clear separation of meaning components, which could aid auditing and reduce the risk of mis‑classifying inferences as facts.\n\nBuilding on this, the piece proposes an “AI‑IR” (AI Intermediate Representation) – a lightweight schema for AI‑to‑AI communication. It references older agent‑communication standards such as FIPA‑ACL, KQML and the A2A protocol, noting that they handle message routing rather than meaning decomposition. The author plans to draft a minimal AI‑IR spec with ChatGPT, have Grok audit it, and iterate, while keeping human‑readable Japanese for parts that involve people.","keyPoints":["Author manually copies between ChatGPT and Grok, questioning the need for human language in AI‑to‑AI hand‑offs.","Experiment converts Japanese gold‑investment text into a tag‑based format that retains logical relationships when restored by Grok.","Proposes an \"AI‑IR\" intermediate representation, citing FIPA‑ACL, KQML and A2A as precedents for structured AI communication."],"whyItMatters":"A compact, meaning‑focused language could let AI agents exchange information more efficiently, improve auditability, and cut token usage in multi‑agent workflows.","category":{"slug":"agents","name":"Agents & Tools","url":"https://digestai.news/category/agents"},"entities":{"companies":["OpenAI","xAI"],"models":["ChatGPT","Grok"],"people":[]},"firstPublishedAt":"2026-09-22T16:18:00Z","updatedAt":"2026-09-22T16:18:00Z","sourceCount":1,"hasPrimarySource":false,"sources":[{"outlet":"note.com","title":"No human language needed between ChatGPT and Grok: A project considering an 'intermediate language' for AI-to-AI communication","url":"https://note.com/guilty_bc/n/nde3e19613f3c?hl=en","publishedAt":"2026-09-22T16:18:00Z","type":"press","primary":false,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"Opinion: exploring AI‑IR, an intermediate language for ChatGPT and Grok\", 22 September 2026, https://digestai.news/story/opinion-exploring-aiir-an-intermediate-language-for-chatgpt-and-grok","publisher":"Digest AI","title":"Opinion: exploring AI‑IR, an intermediate language for ChatGPT and Grok","datePublished":"2026-09-22T16:18:00Z","url":"https://digestai.news/story/opinion-exploring-aiir-an-intermediate-language-for-chatgpt-and-grok"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}