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.

2,397 searchable experts 4,280 tracked across all sources
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Showing signals surfaced by austin ×

The developments commanding sustained expert attention

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Established Models & releases Release 7d ago
⚡ 432 h early
talkie vintage 1930 language model release

Introducing talkie: a 13B vintage language model from 1930

2 experts are actively discussing the implications.

Why this matches Context & explanation reaction 1 attributable expert contribution · austin
“Like the entire point of an LLM is that it can generalize based on instructions. People have proven this! Go look at the source here; a LLM trained only on pre-1930s text was able to write python based on in-context examples. simonwillison.net/2026/Apr/28/...” evidence ↗
2 experts 1 community 1 sources clustered
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Questions & unknowns

1 expert

What remains unresolved or contested.

“It's a good question, and one someone tried out! With an LLM trained only on pre-1930 text they were able to teach it to write python code with just a few examples simonwillison.net/2026/Apr/28/...”

Context & explanation

1 expert

Background, chronology and why it matters.

“Like the entire point of an LLM is that it can generalize based on instructions. People have proven this! Go look at the source here; a LLM trained only on pre-1930s text was able to write python based on in-context examples. simonwillison.net/2026/Apr/28/...”

2 experts discussed this · 8 posts
brennan: love the sign off "for more information, follow <the person most famously wrong about all of this for years>"
Pwnallthethings: There's several examples of it, not least of all in math and engineering. But the reason *why* LLMs are good at that is because beyond a certain point, predicting words hyper-accurately requires so…
Pwnallthethings: I mean, the math cases are the most impressive because math *is* formal reasoning. That's ultimately what solving a math problem means
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What experts are discussing without an anchoring article

8 experts · 38 posts · 19d ago
Matches Context & explanation
“I could set it up to see threads in the future, the model context is long enough, but there’s a lot of edge cases I would need to handle” evidence ↗
Reaction converging Questions & unknowns · 3 Concern & critique · 1 Context & explanation · 1
Grace: I made a little Jev-based language model! It uses beam search + Jev as a classifier to judge branches based on coherence and "success" (whatever that means). I've barely talked to it so I don't kno…
Grace: (you'll need to tag him)
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2 experts · 31 posts · 21h ago
Matches Context & explanation
“Agents are a bit different from traditional session monitoring, though. They operate in ways that don't necessarily match your mental model, their context is invisible to you, and there's a huge va…” evidence ↗
austin: Hello from #AGNTCon! I'm presenting about what we learned building the @honeycomb.io MCP server. If you'd like to follow along, follow this thread! Otherwise, feel free to mute it. Let's get it sta…
austin: If you're trying to understand an MCP server by looking at access logs, you're gonna have a bad time. Here's a typical access log pattern - dozens of requests, all of them successful. JSON-RPC hide…
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