sadid

7 ms·

1.
Bridging GNNs and LLMs: A Survey and Unified Perspective(infoscience.epfl.ch)
3 points by sadid 10mo ago|0 comments
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by sadid 10mo ago
yes, but on this n-gram vs transformers; if you consider more general paradigm, self attention mechanism is basically a special form of a graph neural networks [1]. [1] Bridging Graph Neural Networks and Large Language Models: A Survey and
3.
by sadid 11mo ago
That’s true in a narrow functional sense, but it misses the role of a world model. Intelligence isn’t just about approximating input-output mappings, it’s about building structured, causal models that let an agent generalize, simulate, and
4.
by sadid 11mo ago
I think that’s a bit of a false take. The earlier point wasn’t pivot on a specific definition of EQ (pop-psychology take), but about the contrast between systematic intelligence (like MIT) and the storytelling ability (WWE) needed to create
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by sadid 11mo ago
The MIT vs. WWE contrast feels like a false dichotomy. MIT represents systematic, externalized intelligence (structured, formal, reductive, predictive). WWE or Pixar represent narrative and emotional intelligence. We do need both. Also evol
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by sadid 11mo ago
It’s hard not to see consciousness (whatever that actually is) lurking under all this you just explained. If it’s emergent, the substrate wars might just be detail; if it’s not, maybe silicon never gets a soul.
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by sadid 6y ago
Actually, the underlying reason for at least the successful stories behind such migrations stems from non-GUI thinking. The power lies in the CLI and engagement with POSIX-compliance with an open arm. This sometimes turn out highly liberati
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by sadid 8y ago
As a researcher, I'm agree with your point. One important aspect of science/scholarship is reproduciblity [1]. There is a crisis in current science regarding this. The response to this crisis is the open science movement. Some p