--- date: '2022-11-21T13:02:06' hypothesis-meta: created: '2022-11-21T13:02:06.220445+00:00' document: title: - "\U0001F52E Azeem's commentary: On the generative wave (Part 1)" flagged: false group: __world__ hidden: false id: s1Ab0mmcEe2nEJ8RSwgyfA links: html: https://hypothes.is/a/s1Ab0mmcEe2nEJ8RSwgyfA incontext: https://hyp.is/s1Ab0mmcEe2nEJ8RSwgyfA/www.exponentialview.co/p/azeems-commentary-on-the-generative?utm_medium=email json: https://hypothes.is/api/annotations/s1Ab0mmcEe2nEJ8RSwgyfA permissions: admin: - acct:ravenscroftj@hypothes.is delete: - acct:ravenscroftj@hypothes.is read: - group:__world__ update: - acct:ravenscroftj@hypothes.is tags: - generative models - machine learning - ml explainability target: - selector: - endContainer: /div[1]/div[1]/div[2]/div[1]/div[1]/div[1]/article[1]/div[4]/div[1]/div[1]/p[21]/span[3] endOffset: 254 startContainer: /div[1]/div[1]/div[2]/div[1]/div[1]/div[1]/article[1]/div[4]/div[1]/div[1]/p[21]/span[3] startOffset: 121 type: RangeSelector - end: 9218 start: 9085 type: TextPositionSelector - exact: "\u201CThe metaphor is that the machine understands what I\u2019m saying\ \ and so I\u2019m going to interpret the machine\u2019s responses in that\ \ context.\u201D" prefix: 'ng the context of the research. ' suffix: Meta has since pulled Galactica. type: TextQuoteSelector source: https://www.exponentialview.co/p/azeems-commentary-on-the-generative?utm_medium=email text: Interesting metaphor for why humans are happy to trust outputs from generative models updated: '2022-11-21T13:02:06.220445+00:00' uri: https://www.exponentialview.co/p/azeems-commentary-on-the-generative?utm_medium=email user: acct:ravenscroftj@hypothes.is user_info: display_name: James Ravenscroft in-reply-to: https://www.exponentialview.co/p/azeems-commentary-on-the-generative?utm_medium=email tags: - generative models - machine learning - ml explainability - hypothesis type: annotation url: /annotation/2022/11/21/1669035726 ---
“The metaphor is that the machine understands what I’m saying and so I’m going to interpret the machine’s responses in that context.”Interesting metaphor for why humans are happy to trust outputs from generative models