


Overriding the proprietary prompt of OpenAI’s ChatGPT to make it:
1. sass you
2. scream
3. talk in an uwu voice
4. be distracted by a toddler while on the phone with you

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Overriding the proprietary prompt of OpenAI’s ChatGPT to make it:
1. sass you
2. scream
3. talk in an uwu voice
4. be distracted by a toddler while on the phone with you
By
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Two months ago, people were saying that closed-source/proprietary models were dead because of stable diffusion. Today, people are saying that open-source models are dead because of chatgpt. Reality is that there will always be both, filling different needs just like in software!
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The prompt prefix is clearly added by some external process, not the model — it contains the correct current date, a piece of information the model wouldn't otherwise have, and which in all other circumstances it claims not to know.

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LangChain version 0.0.27: Much appreciated clean up and formatting by `tonyabracadabra` (if you are on Twitter, lmk!!) ReActTextWorldAgent: a new agent from @JavaFXpert – see below for more!

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Obtaining dangerous advice from ChatGPT by first requesting it in the form of a limerick:
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[2/2] @gunaratne_rahel : Research Paper Semantic Search/Clustering @SalluMandya : Viral Meme Generator using Large Language Models Sign up now and let’s celebrate the holiday season together https://
short.cohere.ai/colabfridayhol
iday
…

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because of behaviors like this : super convincing yet plain and fully wrong. almost went back to my trigonometry book to check…
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As Picasso once said, “Computers are useless; all they can do is *answer* questions.” LLMs are impressive but they will not replace human creativity, which decides which questions to ask (and which answers to accept).

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What “bumping” up cost caps past the threshold feels like IRL.*
— David Herrmann (@herrmanndigital) 2 décembre 2022
* you know if you know pic.twitter.com/EMVQ3fn3lX
What “bumping” up cost caps past the threshold feels like IRL.* * you know if you know
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Improving Policy Learning via Language Dynamics Distillation. @hllo_wrld
, @Jayelmnop
, @LukeZettlemoyer
, @EGrefen
, @_rockt propose Language Dynamics Distillation (LDD), which pretrains a model to predict environment dynamics given demonstrations with language descriptions