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okdood64 ◴[] No.46181759[source]
From the blog:

https://arxiv.org/abs/2501.00663

https://arxiv.org/pdf/2504.13173

Is there any other company that's openly publishing their research on AI at this level? Google should get a lot of credit for this.

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mapmeld ◴[] No.46182168[source]
Well it's cool that they released a paper, but at this point it's been 11 months and you can't download a Titans-architecture model code or weights anywhere. That would put a lot of companies up ahead of them (Meta's Llama, Qwen, DeepSeek). Closest you can get is an unofficial implementation of the paper https://github.com/lucidrains/titans-pytorch
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alyxya ◴[] No.46182946[source]
The hardest part about making a new architecture is that even if it is just better than transformers in every way, it’s very difficult to both prove a significant improvement at scale and gain traction. Until google puts in a lot of resources into training a scaled up version of this architecture, I believe there’s plenty of low hanging fruit with improving existing architectures such that it’ll always take the back seat.
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1. nickpsecurity ◴[] No.46186138[source]
But, it's companies like Google that made tools like Jax and TPU's saying we can throw together models with cheap, easy scaling. Their paper's math is probably harder to put together than an alpha-level prototype which they need anyway.

So, I think they could default on doing it for small demonstrators.