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roboboffin

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quasa.io
2 points·by roboboffin·6 bulan yang lalu·0 comments

Meta down 12% – Looks to Raise $25B from bond sale

bloomberg.com
4 points·by roboboffin·9 bulan yang lalu·1 comments

Discovering new solutions to century-old problems in fluid dynamics

deepmind.google
44 points·by roboboffin·10 bulan yang lalu·2 comments

China claims AI breakthrough '100 times faster than traditional models'

independent.co.uk
7 points·by roboboffin·10 bulan yang lalu·2 comments

comments

roboboffin
·11 bulan yang lalu·discuss
If human need drives the creative process, then there will always be a human in the loop. Instead, each human becomes the “random seed” that initialises the process based on their own unique make-up. This is only different from how things work now, in that humans are also creating the artefact.

Similar to how synths meant we no longer need to play an instruments by plucking strings, it hasn’t affected the higher level creativity of creating music, only expanded it.
roboboffin
·11 bulan yang lalu·discuss
Depends what you mean by creativity. In some ways, AI is not creative at all, everything is generated by mapping text to visuals using diffusion modelling via a shared latent space. It has no agency or creative thought of its own.

Humans have demonstrated time and again, even things beyond our experience can be explored by us; quantum mechanics for example. Humans find a way to map very complex subjects to our own experience using analogy. Maybe AI can help us go further by allowing us to do this on even more complex ideas.
roboboffin
·11 bulan yang lalu·discuss
In theory, creativity is an infinite space. As technology advances it allows humans to explore more and more complex things; take the advancement of music as an example, synths, loops etc.

If humans are not stretched to their limits, and are still able to be creative, then the tools will help us find our way through this infinite space.

AI will never be able to generate everything for us, because that means it will need infinite computation.
roboboffin
·2 tahun yang lalu·discuss
However, the way it is progressing is that the SOTA is saturating the current benchmarks; then a new one is conceived as people understand the nature of what it means to be intelligent. It seems only natural to concentrate on one benchmark at a time.

Francois Chollet mentioned that the test tries to avoid curve fitting (which he states is the main ability of LLMs). However, they specifically restricted the number of examples to do this. It is not beyond the realms of possibility that many examples could have been generated by hand though, and that the curve fitting has been achieved, rather than discrete programming.

Anyway, it’s all supposition. It’s difficult to know how genuine the results is, without knowledge of how it was actually achieved.
roboboffin
·2 tahun yang lalu·discuss
Interesting that in the video, there is an admission that they have been targeting this benchmark. A comment that was quickly shut down by Sam.

A bit puzzling to me. Why does it matter ?
roboboffin
·2 tahun yang lalu·discuss
I understand your point. I apologise, if I am coming across pendantic.

My point is computers already follow algorithms, and algorithms contain reasoning; but the computers are not reasoning themselves. At least, not yet!
roboboffin
·2 tahun yang lalu·discuss
It’s not reasoning, it retrieval of a pattern, and that pattern may contain reasoning.

The prompt engineering is the real reasoning, provided by the human.
roboboffin
·2 tahun yang lalu·discuss
For example, papers like this call into question whether or not a LLM can plan:

https://arxiv.org/html/2409.13373v1

This is a basic form of reasoning, to plan out the steps needed to execute something.
roboboffin
·2 tahun yang lalu·discuss
I'm not sure that's true at all. There are several well known researchers that say LLMs are in fact not doing reasoning.