Attention History Learning Theory 
The AI Alignment Forum
JUNE 11, 2025
Gary Marcus argued in the 1990s and 2000s that undifferentiated, fully-connected neural networks cannot learn important aspects of natural language. Increasing the precision of the attention mechanism greatly increases the representation power of the transformer forward pass.
Gyrus
MARCH 14, 2024
A Comprehensive Guide to Social Learning Theory GyrusAim LMS GyrusAim LMS - Social learning theory’s fundamental tenet is that people learn by watching, copying, and behaving like others in social situations. What Is Social Learning Theory? They observe the behavior and its specific results.
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Gyrus
MARCH 14, 2024
A Comprehensive Guide to Social Learning Theory GyrusAim LMS GyrusAim LMS - Social learning theory’s fundamental tenet is that people learn by watching, copying, and behaving like others in social situations. What Is Social Learning Theory? They observe the behavior and its specific results.
Gyrus
MARCH 14, 2024
A Comprehensive Guide to Social Learning Theory Gyrus Systems Gyrus Systems - Best Online Learning Management Systems Social learning theory’s fundamental tenet is that people learn by watching, copying, and behaving like others in social situations. What Is Social Learning Theory?
The AI Alignment Forum
FEBRUARY 20, 2025
Published on February 20, 2025 11:54 PM GMT TLDR: We made substantial progress in 2024: We published a series of papers that verify key predictions of Singular Learning Theory (SLT) [ 1 , 2 , 3 , 4 , 5 , 6 ]. We introduced refined variants of the LLC to study how individual attention heads develop during training.
Museum 2.0
SEPTEMBER 26, 2012
Writing my masters thesis for Gothenburg University’s International Museum Studies program while also working four days a week as the Director of Community Programs at the Santa Cruz Museum of Art & History this spring was certainly a challenge but also an incredible opportunity.
The AI Alignment Forum
MARCH 28, 2025
How can we use the takeaways from this frame to say where we should focus our attention? So if we want to drill down into what parts need the most attention and the most understanding, to understand them we should be looking at how do the non-linearities perform their function. You can get shorter proofs that have better accuracy.
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