AI Cognitohazard (E372)
QAA Podcast
Julian Feeld, Travis View & Jake Rockatansky
4.3 • 4.6K Ratings
🗓️ 13 May 2026
⏱️ 66 minutes
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Summary
Transcript
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| 0:00.0 | I'm |
| 0:02.0 | Oh, |
| 0:03.0 | Oh, |
| 0:04.0 | Oh, |
| 0:05.0 | Oh, |
| 0:07.0 | Oh, |
| 0:08.0 | Oh, If you're hearing this, well done, you found a way to connect to the internet. |
| 0:36.2 | Welcome to the QAA podcast, episode 371, AI Cognito Hazard. |
| 0:43.2 | As always, we are your host, Jake Rakitansky. |
| 0:45.5 | Liv Egar. |
| 0:46.5 | Julian Field. |
| 0:47.5 | And Travis View. |
| 0:48.9 | In the 1960s, a computer scientist at MIT named Joseph Weisenbaum attempted to create an automated chatbot |
| 0:55.5 | that was capable of having conversations with a human being. |
| 0:58.5 | He would call the bot Eliza, named so after the character Eliza Doolittle from Bernard Shaw's Pygmalion. |
| 1:05.0 | Just as Doolittle slowly accumulated more knowledge about how to speak with an upper-class inflection, |
| 1:09.4 | so too did Weisenbaum's Eliza slowly learn how to better respond to its carbon-based patients. |
| 1:14.6 | In order to skirt around the problem of being more than half a decade too early for |
| 1:17.9 | sufficiently robust large language models, Weisenbaum would base Eliza around the speech patterns |
| 1:22.8 | of a psychotherapist, typically answering prompts by rephrasing them in the form of a question. |
| 1:27.3 | Here's a real chat log I pulled from a CBC article. |
| 1:30.3 | Please tell me your promulmblem. |
... |
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