What does Alan Kay think about LLMs?
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What does Alan Kay think about LLMs?
1–10 of 155 posts
Re: What does Alan Kay think about LLMs?
#2All I will say is that for people who want to understand his perspective, there's a large epistemological load to overcome. Sampling his talks is a good starting point though: https://tinlizzie.org/IA/index.php/Talks_by_Alan_Kay
Re: What does Alan Kay think about LLMs?
#3This answer is amazing and classically Alan Kay! There's so much here to unpack because of all the different areas Alan draws from in his work (he's like a computing philosopher ). All I will say is that for people who want to understand his perspective, there's a large epistemological load to overcome. Sampling his talks is a good starting point though: https://tinlizzie.org/IA/index.php/Talks_by_Alan_Kay
Re: What does Alan Kay think about LLMs?
#4Re: What does Alan Kay think about LLMs?
#5This answer is amazing and classically Alan Kay! There's so much here to unpack because of all the different areas Alan draws from in his work (he's like a computing philosopher ). All I will say is that for people who want to understand his perspective, there's a large epistemological load to overcome. Sampling his talks is a good starting point though: https://tinlizzie.org/IA/index.php/Talks_by_Alan_Kay
Re: What does Alan Kay think about LLMs?
#6This answer is amazing and classically Alan Kay! There's so much here to unpack because of all the different areas Alan draws from in his work (he's like a computing philosopher ). All I will say is that for people who want to understand his perspective, there's a large epistemological load to overcome. Sampling his talks is a good starting point though: https://tinlizzie.org/IA/index.php/Talks_by_Alan_Kay
He always criticizes how everyone got computing wrong (fair enough), but never offers anything but the most vague suggestions of how to do things differently.
Re: What does Alan Kay think about LLMs?
#7There is a lot in here, various paths to venture off, but the bottom line seems to be trust is important when running commands on a machine, and LLMs are not trustable. What else?
1: 100% transparency. Open Source code, fully (and correctly) attributed training data.
2: A predictable model of what these models are actually encoding (so that hypothetical new models (or modifications) can be reasoned about).
Re: What does Alan Kay think about LLMs?
#8This answer is amazing and classically Alan Kay! There's so much here to unpack because of all the different areas Alan draws from in his work (he's like a computing philosopher ). All I will say is that for people who want to understand his perspective, there's a large epistemological load to overcome. Sampling his talks is a good starting point though: https://tinlizzie.org/IA/index.php/Talks_by_Alan_Kay
He always criticizes how everyone got computing wrong (fair enough), but never offers anything but the most vague suggestions of how to do things differently.
Re: What does Alan Kay think about LLMs?
#9There is a lot in here, various paths to venture off, but the bottom line seems to be trust is important when running commands on a machine, and LLMs are not trustable. What else?
what would be required for trusting an LLM? 1: 100% transparency. Open Source code, fully (and correctly) attributed training data. 2: A predictable model of what these models are actually encoding (so that hypothetical new models (or modifications) can be reasoned about).
For example, the proof of the absence of solution in SAT should be accompanied with the easily verifiable chain of reasoning. This shows the absence of incorrect deductions and missing assignments. Another example is autovectorization in contemporary compilers, they can show you why parts of your loops are not eligible for vectoriztion.
All LM's can do is to show me that these parts of those inputs are important for that output, but nothing else. Thus, they cannot be trusted even for minimally critical tasks.
Re: What does Alan Kay think about LLMs?
#10This answer is amazing and classically Alan Kay! There's so much here to unpack because of all the different areas Alan draws from in his work (he's like a computing philosopher ). All I will say is that for people who want to understand his perspective, there's a large epistemological load to overcome. Sampling his talks is a good starting point though: https://tinlizzie.org/IA/index.php/Talks_by_Alan_Kay
He always criticizes how everyone got computing wrong (fair enough), but never offers anything but the most vague suggestions of how to do things differently.