# GPT Doesn't Get Airtable - Here's Why **URL:** \ **Category:** Airtable Questions\ **Created:** [March 12, 2023, 10:31am UTC](https://air.tableforums.com/t/gpt-doesnt-get-airtable-heres-why/400 "2023-03-12T10:31:18Z")\ **Posts on this page:** 1\ **Showing post:** 3
**Author:** ![bfrench](https://yyz1.discourse-cdn.com/flex029/user_avatar/air.tableforums.com/bfrench/32/46_2.png) [@bfrench](https://air.tableforums.com/u/bfrench)\ **Post date:** [March 28, 2023, 5:50pm UTC](https://air.tableforums.com/t/gpt-doesnt-get-airtable-heres-why/400/3 "2023-03-28T17:50:06Z")
Precisely my point… ![CleanShot 2023-03-28 at 11.50.47@2x](https://canada1.discourse-cdn.com/flex029/uploads/tableforums/original/1X/e87c93bf2fd7eaf71f07e94f4e46bda8f79870bb.jpeg) When will y’all realize that you’re using a prototype chat experience built on AGI — NOT domain data — expecting it to act like it has domain expertise? Airtable’s behaviours are an abstraction from code. Python and Javascript code used to train GPT models is not an abstraction. As such, you will get pretty good performance from one thing but absolutely no reliable benefit from the other thing. The one thing that _won’t_ work is to ask an AGI model to understand how no-code platforms work. No-code, for all its excellent benefits, is a closed architecture. Understanding it through neural frameworks is not likely to occur anytime soon. @growwithjen said… > An interesting opportunity is to train a model to understand the lexicon of a closed platform. Spot on! But a big task indeed. Only Airtable possess the data to build such a model and since they just added oAuth support (ubiquitous in 2010), when will they get to this task? Even heavily peppered solutions based on Airtable script will never see the light of a GPT training process. OpenAI must use only the little fragments and snippets published in the Interwebs. There is no equivalent of vast projects based on Airtable’s SDK either. Unlike the open-source resources of Python and Javascript, there’s nothing it can sink its teeth into. My advice - stop wasting your time debating how nutty and how ineffective AGI is concerning Airtable. Instead, become AI practitioners with client data [like this example](https://air.tableforums.com/t/ai-discovering-dupe-similarities-is-just-the-beginning/466). --- _[View the full topic](https://air.tableforums.com/t/gpt-doesnt-get-airtable-heres-why/400)._