Editing 2635: Superintelligent AIs

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::"Black Hat picks up and opens the box. A little glowy ball comes out of it."[https://xkcd.com/1450/info.0.json]
 
::"Black Hat picks up and opens the box. A little glowy ball comes out of it."[https://xkcd.com/1450/info.0.json]
  
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While LaMDA is not the first very large {{w|language model}} based on {{w|seq2seq}} technology which has been claimed to be sentient,[https://www.youtube.com/watch?v=PqbB07n_uQ4] it does have a variety of new characteristics beyond what those of its predecessors, such as {{w|GPT-3}} (including [https://beta.openai.com/playground/ OpenAI's Davinci]) and NVIDIA GPT-2 offshoots, include. In particular, LaMDA's {{w|deep learning}} {{w|connectionist}} {{w|neural net}} has access to multiple {{w|Symbolic systems|symbolist}} text processing systems, [https://towardsdatascience.com/why-gpt-wont-tell-you-the-truth-301b48434c2c including a database] (which apparently includes a real-time clock and calendar), a mathematical calculator, and a natural language translation system, giving it superior accuracy in tasks supported by those systems, and making it among the first {{w|Dual process theory|dual process}} chatbots. LaMDA also is not {{w|Stateless protocol|stateless}}, because its "{{w|sensibility|sensibleness}}" metric (including whether responses contradict anything said earlier) is {{w|fine-tuning|fine-tuned}} by "pre-conditioning" each dialog turn by prepending 14-30{{cn}} of the most recent dialog interactions, on a user-by-user basis.[https://arxiv.org/pdf/2201.08239.pdf [p. 6 here]] LaMDA is tuned on nine unique performance metrics, almost all of which its predecessors were not: Sensibleness, Specificity, Interestingness, Safety, Groundedness, Informativeness, Citation accuracy, Helpfulness, and Role consistency.[''ibid.,'' pp. 5-6.]
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While LaMDA is not the first very large {{w|language model}} based on {{w|Transformer (machine learning model)|transformer-based machine learning}} technology which has been claimed to be sentient,[https://www.youtube.com/watch?v=PqbB07n_uQ4] it does have a variety of new characteristics beyond what those of its predecessors, such as {{w|GPT-3}} (including [https://beta.openai.com/playground/ OpenAI's Davinci]) and NVIDIA GPT-2 offshoots, include. In particular, LaMDA's {{w|deep learning}} {{w|connectionist}} {{w|neural net}} has access to multiple {{w|Symbolic systems|symbolist}} text processing systems, [https://towardsdatascience.com/why-gpt-wont-tell-you-the-truth-301b48434c2c including a database] (which apparently includes a real-time clock and calendar), a mathematical calculator, and a natural language translation system, giving it superior accuracy in tasks supported by those systems, and making it among the first {{w|Dual process theory|dual process}} chatbots. LaMDA also is not {{w|Stateless protocol|stateless}}, because its "{{w|sensibility|sensibleness}}" metric (including whether responses contradict anything said earlier) is {{w|fine-tuning|fine-tuned}} by "pre-conditioning" each dialog turn by prepending 14-30{{cn}} of the most recent dialog interactions, on a user-by-user basis.[https://arxiv.org/pdf/2201.08239.pdf [p. 6 here]] LaMDA is tuned on nine unique performance metrics, almost all of which its predecessors were not: Sensibleness, Specificity, Interestingness, Safety, Groundedness, Informativeness, Citation accuracy, Helpfulness, and Role consistency.[''ibid.,'' pp. 5-6.]
  
 
==Transcript==
 
==Transcript==

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