On January 1, 2027, a Transformer-like model will continue to hold the state-of-the-art position in most benchmark | Manifold

On January 1, 2027, a Transformer-like model will continue to hold the state-of-the-art position in most benchmark

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Tracking external bet: https://www.isattentionallyouneed.com/

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What constitutes Transformer-like?

Is it all, or some, of these?

Token inputs, token outputs
Positional encoding
(MH QKV SDPA -> MLP) layers
Residual connections

bought Ṁ50 NO

https://arxiv.org/abs/2501.00663

Titans: Learning to Memorize at Test Time

Abstract page for arXiv paper 2501.00663: Titans: Learning to Memorize at Test Time

@JaundicedBaboon Let's see if it can leave the academia limbo where the Mamba's got stuck...

https://x.com/_philschmid/status/1846452029582959012

@MalachiteEagle Transformers, yes. Attention, not really:

followed by two shared attention blocks.

https://blog.rwkv.com/p/eagle-7b-soaring-past-transformers

It even links the wager page in its bragging points:

All while being an “Attention-Free Transformer”

I thought this wager was made today haha

Does this strictly resolve to the outcome of the bet?

@FranekZak Yep. Whatever details they come up with are in.

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