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.

2,364 searchable experts 2,966 tracked across all sources
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The developments commanding sustained expert attention

One card per development. Sources are clustered; reaction bundles describe these posts, never the people behind them.

Established Models & releases Release 5d ago
⚡ 100 h early
Poolside Laguna S 2.1 release

Introducing Laguna S 2.1

3 experts across 3 network communities independently surfaced this.

3 experts 3 communities 1 sources clustered
Sung Kim Eli Sennesh Miguel Alonso Jr.

“Poolside AI's Laguna S 2.1 (open-weight) A 118B total parameter Mixture-of-Experts model with 8B activated per token, a context window of up to 1M tokens, and thinking and no-thinking modes. poolside.ai/blog/introdu...”

Primary source poolside.ai ↗
Established AI research Resource 13d ago
⚡ 5 h early
FENS Chen Summer School 2026 spikes resource

GitHub - neural-reckoning/cambridge-fens-chen-summer-school-2026: Code and slides for 2026 FENS Chen Summer School on Learning with spikes

3 experts are actively discussing the implications.

2 experts 2 communities 1 sources clustered
Eli Sennesh Dan Goodman

“I just gave a short tutorial on what is a spiking neural network and how to train one. From zero to a trained network in one hour. Slides and code you can run in Colab at this repo: github.com/neural-recko... 🤖🧠🧪”

3 experts discussed this · 10 posts
Dan Goodman: I just gave a short tutorial on what is a spiking neural network and how to train one. From zero to a trained network in one hour. Slides and code you can run in Colab at this repo: github.com/neur…
Dan Goodman: Longer, more detailed version in my course on "Neuroscience for machine learners" that I give at my university. All materials freely available online at: neuro4ml.github.io
Eli Sennesh: I just gave a short tutorial on what is a spiking neural network and how to train one. From zero to a trained network in one hour. Slides and code you can run in Colab at this repo: github.com/neur…
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Primary source github.com ↗
Established Models & releases Development 14d ago
⚡ 16 h early
Hassabis urges US-led AI oversight

Demis Hassabis (@demishassabis) on X

2 directory members surfaced this signal.

2 experts 2 communities 1 sources clustered
Eli Sennesh Grady Booch

“I say this with all due respect but simultaneously with a rage that can unmake stars, a software-intensive system that “exhibits all the cognitive capabilities that the brain has” is not “a few short years away”. x.com/demishassabi...”

Primary source x.com ↗
Established AI research Research 13d ago
spiking neural network exact gradient computation paper

Exact Gradient Computation for Spiking Neural Networks via Forward Propagation

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered
Eli Sennesh

“If you're a believer in spike-time coding, then spiking neurons even have an exact gradient, rather than requiring a surrogate. proceedings.mlr.press/v206/lee23b....”

Primary source proceedings.mlr.press ↗
Debates gaining attention

What experts are discussing without an anchoring article

4 experts · 5 posts · 2d ago
Eli Sennesh Doll Alex Gude Sam Barrett, PhD
Multiple readings Concern & critique · 1 Markets & investment · 1 Research & technical analysis · 1
Sam Barrett, PhD: Its lucky that paperclips can only be made by humans because they have to be made with intention which only humans can supply. Therefore the risk is not light cone paperclips but light cone turned …
Alex Gude : Computers can make things, they can only cmake things... Ok ok I'm going I'm going!
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3 experts · 8 posts · 1d ago
Ted Underwood Eli Sennesh James Tauber
Multiple readings Questions & unknowns · 2 Building & implementation · 1
Ted Underwood: Does everyone agree that Claude is a Bayesian? In my experience, its first instinct is always: hierarchical Bayesian model with partial pooling. Sometimes it will admit there are simpler options, b…
Ted Underwood: I like the thing, but "doing stuff with PyMC that could just be done with a bootstrap" is becoming a recognizable failure mode
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