Gary Marcus

Rank 10 of 47
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Score 127
3/30/2024, 10:55:40 AM
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In reply to:
Derya Unutmaz, MD
@DeryaTR_
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479d
@s_batzoglou @GaryMarcus @islandinthemoon Totally agree with @s_batzoglou - I am also very excited about cell segmentation, we are also working on this, this can be a game changer in decoding biological imaging. https://www.nature.com/articles/…
Serafim Batzoglou
@s_batzoglou
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479d
@GaryMarcus @islandinthemoon You both make good points. LLMs are game changers in molecular biology. I wrote about this a year ago. AlphaFold is a language model. However, it does use multiple alignment information across proteins in multiple species to estimate the contact map of amino acid residues. How…
Gary Marcus
@GaryMarcus
·
479d
@islandinthemoon @s_batzoglou its almost certainly a hybrid, but i can’t find a full written account. this is just part of the richly structure system. there are rich hand-crafted representation, symbolic (I believe) search etc
moon island
@islandinthemoon
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479d
@GaryMarcus @s_batzoglou protein folding is based on an attention-based neural network system, not symbolic AI: https://www.youtube.com/watch?si…

It's already clear that AI (including LLM AI) will be a massive productivity boost to software engineers

Creating public-domain image datasets is a trivial problem
Gary Marcus
@GaryMarcus
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479d
@islandinthemoon @s_batzoglou protein folding isn’t genAI and is neurosymbolic.

code quality and security has arguably gone down.

image synthesis is fine if you don’t care about copyright violation.
moon island
@islandinthemoon
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479d
@GaryMarcus @s_batzoglou success like:
code-writing assistance
text-writing assistance
image-creation assistance
sound/music assistance
to say nothing of protein folding, etc

Sym AI has nothing remotely close in any of those domains

The statement is a supportive comment in a technical conversation about cell segmentation in biological imaging, contributing to the public discourse on scientific advancements.

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