Yann LeCun? Demis Hassabis? Bence Ölveczky? Apocryphal?
Question for Quote Investigator: Progress on artificial intelligence during the 2010s and 2020s has been remarkable. The AlphaFold computer program developed by DeepMind employed machine learning techniques with deep neural networks to successfully predict protein structures. The AlphaGo program used a tree search algorithm together with deep neural networks to beat the best humans at the board game Go. The company OpenAI used large language models (LLMs) and reinforcement learning to build the GPT family of chatbots which displayed powerful new capabilities.
Yet, the prominent computer scientist Yann LeCun has expressed skepticism about current progress in AI and about the near-term prospects. LeCun is a Professor at New York University and the Chief AI Scientist at Meta. He won the prestigious Turing Award in 2018 together with two colleagues.
LeCun stated that researchers must first reach cat-level AI and dog-level AI before they have a chance of reaching human-level AI. I am not sure of his precise phrasing. Would you please help me to find a citation?
Reply from Quote Investigator: In February 2023 Yann LeCun posted the following message on x-twitter. Boldface added to excerpts by QI:1
Before we reach Human-Level AI (HLAI), we will have to reach Cat-Level & Dog-Level AI.
We are nowhere near that.
We are still missing something big.
LLM’s linguistic abilities notwithstanding.
A house cat has way more common sense and understanding of the world than any LLM.
Yann LeCun has been referring to animal intelligence as an important AI benchmark for several years. For example, in 2018 he posted an x-tweet containing the following lines:2
Right now, we need to get machines to the level of a house cat.
Never mind symbolic mathematics and formal logic.
Below are additional selected citations in chronological order.
Continue reading “Quote Origin: Before We Reach Human-Level AI We Will Have To Reach Cat-Level & Dog-Level AI”