Expert attention map

The Who's Who of AI

What credible people across AI noticed, why it matters, and where the field is converging or disagreeing.

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Showing signals surfaced by jvgemert.bsky.social ×

The developments commanding sustained expert attention

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Established AI research Research 9d ago
⚡ 6 h early
RNN homunculus long-term memory gating paper

The RNN Homunculus: Learning to Gate Long-Term Memory

2 directory members surfaced this signal.

2 experts 1 community 1 sources clustered

“I really enjoy finding gaps in our understanding of text-book deep learning. The RNN Homunculus: Long-range input vanishes RNN gradients. Gates (GRU, LSTM) help, but gates are themselves an RNN. Ie: gates are not sufficient. We need short-range data to lear…”

Established Evaluation & benchmarks Research 17d ago
⚡ 10 h early
hyperparameter tuning on test set paper

On Hyperparameter Tuning on the Test Set

3 experts are actively discussing the implications.

2 experts 1 community 1 sources clustered

“In addition to the research findings, this is the type of research I really enjoyed doing 😊 "On Hyperparameter Tuning on the Test Set" arxiv.org/abs/2610.05902”

3 experts discussed this · 6 posts
jvgemert.bsky.social: In addition to the research findings, this is the type of research I really enjoyed doing 😊 "On Hyperparameter Tuning on the Test Set" arxiv.org/abs/2610.05902
David Picard: In addition to the research findings, this is the type of research I really enjoyed doing 😊 "On Hyperparameter Tuning on the Test Set" arxiv.org/abs/2610.05902
David Picard: Joining the heresy, I see... But in all seriousness, I think the observation you make that test-tuning is just a uniform boost (fig 3) is an important lesson of deep learning (interpolation thresho…
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