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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Posts are grouped by conversation and tone. Select a lens to filter the stream; these are never permanent labels on people.

Showing signals surfaced by Max Woolf ×

What is moving across the network now

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

Accelerating AI field signal Signal 1h ago

Kimi K3.1 Pro Tech Blog: Advancing Open Intelligence

4 experts across 3 network communities independently surfaced this.

4 experts 3 communities 1 sources clustered
New AI field signal Analysis 22h ago
⚡ 6 h early
reverse engineer AI wild west essay

‘Reverse-Engineer Anything’ Is the New Wild West of AI

7 experts across 4 network communities independently surfaced this.

7 experts 4 communities 1 sources clustered
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Concern & critique

1 expert

Risks, limits and unintended consequences.

“An excellent article by 404 Media's Jason Koebler runs down some of these hacks, including drop-in replacements for smart TV software that blocks the endless ads and surveillance that have made TVs all but unusable: www.404media.co/reverse-engi...”

Opportunity & adoption

1 expert

New capabilities, benefits and practical upside.

“What this promises is a way to easily clone and modify other people’s products. One of the main problems? AI-powered, cloned software often has bugs that the person using the AI doesn’t understand or know how to fix, but they're unleashing into the world an…”

New AI field signal Resource 23h ago
AI reverse engineering awesome list resource

GitHub - yibie/awesome-rea: A curated list of AI-assisted reverse engineering: decompilation, recompilation and native ports, with how each project verifies correctness

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“nope, just need the ROM. Here's a list of recent decompiled games via LLMs. github.com/yibie/awesom...”

Established AI field signal Analysis 6d ago
open weight models dominate token usage

Open weight takes 71.5% of tokens and 23% of spend

3 experts are actively discussing the implications.

2 experts 2 communities 1 sources clustered

“Charts taken from Vercel’s most recent post about usage of their AI gateway”

“if you haven't seen this chart from Vercel yesterday it is very funny vercel.com/blog/ai-gate...”

3 experts discussed this · 7 posts
Stephan Geering: Ezra Klein did two quite good interviews about AI in a row. impressed with the research he has done, the range of views he’s read, and the way he argues with the guests
Max Woolf: if you haven't seen this chart from Vercel yesterday it is very funny vercel.com/blog/ai-gate...
Phillip Carter: What what the fuck is that y axis lol
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