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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 developments with attributable Opportunity & adoption reactions.

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Opportunity & adoption Research & technical analysis
1 live reaction map in this view Jump to the evidence ↓
Multiple readings Introducing Claude Fable 5.1 and Claude Mythos 5.1 Research & technical analysis · 3 attributable reactions
Showing signals surfaced by Ramon Astudillo ×
Debated

The questions experts are actively pulling apart

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

Established AI field signal Signal 5d ago
⚡ 3 h early

Introducing Claude Fable 5.1 and Claude Mythos 5.1

3 experts across 3 network communities independently surfaced this.

Why this matches Opportunity & adoption reaction 1 attributable expert contribution · Ted Underwood
“Hey, good news!! Fable 5.1 got interested in making a new more detailed map of Venus, which will be useful when we send, ah, rovers -- yeah, sure, rovers -- to the resource-rich and conveniently located planet. (www.anthropic.com/claude-fable...)” evidence ↗
3 experts 3 communities 1 sources clustered
Ted Underwood Ramon Astudillo Tim Kellogg
2 experts discussed this · 7 posts
tachikoma: i think Venus could be deconstructed by Von Neumann probes and this would only be passing news for most people, overshadowed by GTA 6 release or celebrity news
tachikoma: it sorta depends on how fast it happens, what the material is used for, and whether the machines can be traced back to us or not
tachikoma: yeah that would be a not uncommon take
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Primary source anthropic.com ↗
Established Compute & infrastructure Analysis 12d ago
⚡ 3 h early
OpenAI Jalapeño chip beats Nvidia Blackwell

OpenAI’ Jalapeño: Better Than Nvidia Blackwell

6 experts across 2 network communities independently surfaced this.

Why this matches Opportunity & adoption reaction 1 attributable expert contribution · Elad Gil
“Impressive speed to tape out by OpenAI https://t.co/5VXgzYhp2d” evidence ↗
6 experts 2 communities 1 sources clustered
SemiAnalysis Elad Gil Ramon Astudillo Sung Kim Rohan Paul Clive Chan

“Impressive speed to tape out by OpenAI https://t.co/5VXgzYhp2d”

“Read more at our article👇️ (6/7) https://t.co/dbuAUrRSt1”

2 experts discussed this · 4 posts
Sung Kim: OpenAI Jalapeño: Better Than Nvidia Blackwell OpenAI’s self-designed ASIC compared with Rubin, Jalapeño’s TCO, throughput per MW, and spicy deets newsletter.semianalysis.com/p/openai-jal...
David Marx: Interesting, wasn't aware they were even moving in this direction. Microsoft doing their own version of google's TPU bet?
Sung Kim: They all have one. I think it's called Maia.
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Primary source newsletter.semianalysis.com ↗
More conversations

What experts are discussing without an anchoring article

10 experts · 26 posts · 6d ago
Ethan Mollick Marc Lanctot Ramon Astudillo Scott McGrath Grace SE Gyges jake Paul Hünermund
Matches Opportunity & adoption
“Hopefully you continue to find it useful here! It is smaller, but the nuclear block works wonders in both directions, and a good nucleus of people interested and curious and with nothing they’re tr…” evidence ↗
Multiple readings Concern & critique · 1 Research & technical analysis · 1 Opportunity & adoption · 1
Ethan Mollick: I post here & LinkedIn & X. There is almost no real-world value in posting here, very rarely do people tell me that they read something by me on BlueSky & all of the big AI talk is on X… …but assum…
Ethan Mollick: BlueSky can be a really unpleasant and anxiety-producing place to post about AI, but now that I have been on so many block lists (I guess just because all AI people get blocked) it is better. The i…
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2 experts · 3 posts · 16d ago
Ramon Astudillo spacecowboy17.bsky.social
Matches Opportunity & adoption
“1. The universe happens only once, everything else is a model 2. All models are wrong, but some are useful 3. Rule-based models generalize poorly 4. The bigger the neural network model/data the bet…” evidence ↗
Ramon Astudillo: 1. The universe happens only once, everything else is a model 2. All models are wrong, but some are useful 3. Rule-based models generalize poorly 4. The bigger the neural network model/data the bet…
spacecowboy17.bsky.social: For #5 I remember when people were fascinated by model pipelines (OCR) Pinging @andrewgwils.bsky.social for #4 :)
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