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Are LLMs Just Stochastic Parrots?

ChatGPT is a bullshit generator. But it can still be amazingly useful

ChatGPT is a bullshitter

Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data (2020 pdf)

On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜 (2021 pdf)

T4T S01E05: Machine Learning for Thinking (Alice and Sam)

T4T S01E08: Funding Tools for Thinking (Andrew, James, John)

We Are Now in the GPT World (late 2022)

You Are Not a Parrot

2022-06-28 Borthwick Thinking Session

Large Language Models (LLMs)

Parroting

01.ai (2023)

Articles About LLMs

ChatGPT (2022)

Claude (2023)

Connecting LLMs and Knowledge Graphs

Falcon LLM

Fixing LLM “Hallucinations”

Frontier Models (top LLMs right now)

Galactica AI (Meta project)

Google Gemini (2023)

hwchase17/langchain

Latimer

LLaMA (2023 LLM Meta AI)

LLM Architectures

LLM Research

LLMs Like ChatGPT Have “Hallucinations” That Mix Fact and Fancy, and Can’t Tell the Difference

lmsys.org (Large Model Systems Organization)

Maybe the only defense against superintelligence is Denial of Thinking Attacks

Meta-Learning for Compositionality (2023)

Pedregal Has Been Feeding GPT-3 His Voice Notes, Then Asking it for Summaries. It’s Very Good.

Phind

Sandberg: GPT-3 Is Dumb as a Rock, But...

Small LLMs for Devices

Superintelligence Is Going to Have to Figure Out How to Motivate Us to not Kill It Off

The LLM Ecosystem

Will GPT-3 use drive homogeneity of thinking?

Will LLMs Ruin Search Results?

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Are LLMs Just Stochastic Parrots?